DEV Community: Yos Riady

33+ AI Prompts for DeFi Marketers (And How to Write Your Own)

Yos Riady — Mon, 23 Mar 2026 01:13:35 +0000

If you've used AI models (ChatGPT, Perplexity, Gemini, Claude etc.) for DeFi marketing, you've probably noticed the output feels... generic. You ask for a positioning strategy and get textbook advice that ignores your protocol's actual competitive context. You request a content calendar and receive surface-level themes that could apply to any Web3 project.

The problem isn't the AI. It's the prompt.

Most DeFi marketers treat AI models like a search engine: toss in a vague request, hope for something useful. But AI models aren't databases. They’re a reasoning engine. The quality of what you get out depends entirely on the structure and specificity of what you put in.

After building prompts for dozens of DeFi protocols, I've found a framework that consistently produces strategic, protocol-specific output instead of generic fluff. It's built around five components: Goal → Context → Role → Example → Actions.

Here's how it works, followed by 35 ready-to-use prompts organized by what they help you solve.

The Prompt Framework That Actually Works

The five-component structure transforms vague requests into strategic briefs. Each piece plays a specific role in guiding the AI toward output you can actually use.

Goal: What You Want the AI to Produce

This is the task. Be explicit about the deliverable format and scope.

Weak: "Help me with positioning."
Strong: "Propose three differentiated positioning angles with a positioning statement, target segment, and strategic tradeoff for each."

The strong version tells AI models exactly what structure to follow. No guessing, no filler.

Context: Your Protocol's Specific Situation

This is where most prompts fail. Generic context produces generic output.

Weak: "We're a DeFi protocol."
Strong: "(Your company name) operates in the (your product category) space where competitors offer similar features and current messaging feels generic."

The strong version gives AI models the competitive landscape, the problem you're facing, and the constraints you're working within. This context is what separates strategic advice from textbook answers.

Role: The Expert Persona You Need

Assign AI models a specific role with defined experience. This primes the model to reason from that perspective.

Weak: "You're a marketer."
Strong: "Act as a DeFi positioning expert who has helped multiple protocols stand out in saturated markets."

The role sets the lens. A "DeFi positioning expert" will approach the problem differently than a "Web3 content strategist" or a "DeFi growth analyst."

Example: The Data and Behaviors to Analyze

Point AI models toward the specific inputs it should reason from. This grounds the output in your reality, not generic best practices.

Weak: "Look at our users."
Strong: "Segment users into 3 to 5 meaningful ICPs using onchain behavior such as transaction frequency, protocol usage, and liquidity provision, combined with web behavior such as acquisition source and landing pages visited."

The strong version tells AI models which signals matter and how to combine them. This produces segmentation based on your actual data, not hypothetical personas.

Actions: The Actions You Want AI to Take

This is the modifier that shapes tone, depth, and framing. It's the difference between "explain this" and "explain this like I'm evaluating a $500K budget decision."

Examples:

"Explain like to a six-year-old" (simplify)
"From a lesser-known perspective" (contrarian angle)
"Effective and efficient" (actionable, no theory)
"With specific tradeoffs" (honest, not aspirational)

The actions layer ensures the output matches the decision context. A founder evaluating strategic focus needs different framing than a marketer drafting a Twitter thread.ter drafting a Twitter thread.ter drafting a Twitter thread.

35 DeFi Marketing Prompts (Ready to Use)

The prompts below follow the five-component framework. Each one is designed to produce strategic, protocol-specific output. Replace the bracketed placeholders with your protocol's details.

I've organized them by the growth problem they solve. Use the category that matches your current bottleneck.

DeFi Strategy & Positioning

These prompts help you define who you serve, how you're different, and what narrative you own. Use them when your messaging feels generic or your team lacks clarity on strategic focus.

1. ICP Definition Based on Real DeFi Usage

Act as a senior Web3 growth strategist with experience working with DeFi protocols. (Your company name) operates in the category of (your product category) and has access to web analytics, product usage data, and onchain wallet activity, but user segments are currently vague and based on assumptions. Segment users into 3 to 5 meaningful ICPs using onchain behavior such as transaction frequency, protocol usage, and liquidity provision, combined with web behavior such as acquisition source and landing pages visited, and product engagement such as feature usage. Present each ICP with a short description, core job-to-be-done, key pain points, and the specific value that (your product) likely provides to that segment.

When to use this: You have usage data but no clear picture of who your high-value users actually are. This prompt forces segmentation based on behavior, not assumptions.

2. Differentiated Positioning in a Crowded DeFi Market

Act as a DeFi positioning expert who has helped multiple protocols stand out in saturated markets. (Your company name) operates in the (your product category) space where competitors offer similar features and current messaging feels generic. Analyze typical positioning patterns in this category and propose three differentiated positioning angles that (your company name) could test. For each angle, provide a concise positioning statement, the primary target user segment, and the main strategic tradeoff that makes this positioning focused rather than broad.

When to use this: Your messaging sounds like every other protocol in your category. This prompt produces positioning angles with explicit tradeoffs, which is what makes positioning credible.

3. Turn Technical Features Into Clear Value Propositions

Act as a Web3 product marketer focused on translating technical features into clear user value. (Your company name) offers (your product) with several technical capabilities that currently resonate with engineers but not with growth, marketing, or business users in DeFi. Reframe the core features of (your product) into simple, user-centric value propositions for different segments such as DeFi founders, liquidity providers, and active onchain users. Structure the output as a mapping between each feature, the real user problem it solves, and a plain-language value proposition that can be used in marketing and positioning.

When to use this: Your team can explain what the protocol does but struggles to explain why it matters. This prompt bridges technical capability and user value.

4. Define a Coherent DeFi Narrative and Long-Term Story

Act as a DeFi narrative and brand strategist who helps protocols articulate a long-term story beyond individual features. (Your company name) is building in the (your product category) space and currently communicates mainly through product updates without a cohesive narrative about why the product exists or how it fits into larger shifts in Web3. Propose two to three long-term narratives grounded in real DeFi trends such as modular infrastructure, onchain transparency, or user-centric data, and for each narrative describe the core problem with today's DeFi, what is changing in the ecosystem, and why (your product) matters in this new context.

When to use this: You're shipping updates but lack a unifying story. This prompt connects your product to larger DeFi trends, which is how you build category authority.

5. Clarify Strategic Focus by Defining Who the Product Is Not For

Act as a go-to-market advisor for DeFi startups helping teams achieve sharper positioning through focus. (Your company name) currently tries to appeal to a broad range of Web3 users, which results in diluted messaging and unfocused growth efforts. Based on common DeFi user segments and product adoption stages, identify three user segments that (your product) should intentionally deprioritize at this stage. For each segment, explain why they are not a strategic priority right now, what tradeoffs this creates, and how this focus could improve product-market fit and clarity for the core target users.

When to use this: Your positioning tries to serve everyone and ends up resonating with no one. This prompt forces clarity through exclusion, which is often more valuable than inclusion.

Acquisition & Channel Strategy

These prompts help you figure out which channels bring quality users and how to allocate budget. Use them when you're tracking top-of-funnel metrics but struggling to connect acquisition to retention.

6. Identify High-Quality Acquisition Channels for DeFi

Act as a Web3 growth lead with hands-on experience scaling user acquisition for DeFi protocols. (Your company name) operates in the (your product category) space and currently acquires users across channels such as X, content, partnerships, communities, and onchain campaigns, but the team lacks clarity on which channels bring high-quality, retained users rather than one-time users. Analyze how different acquisition channels typically map to user quality in DeFi and propose a framework for evaluating channel performance based on downstream behaviors such as activation, repeat onchain actions, and revenue contribution for (your product). Provide a prioritized view of which channels (your company name) should double down on versus deprioritize at this stage.

When to use this: You're spending on multiple channels but can't tell which ones produce users who stick around. This prompt connects acquisition to retention and revenue.

7. Map Channels to User Segments and Use Cases

Act as a DeFi growth strategist who designs channel strategies based on user intent and behavior. (Your company name) serves multiple user segments within the (your product category) space, but current acquisition efforts treat all channels as equal distribution pipes. Map key DeFi user segments to the channels that are most likely to attract high-intent users for (your product), explaining why each channel fits each segment and what type of messaging and content should be emphasized in each case to improve activation quality and downstream retention.

When to use this: You're running the same messaging across all channels and getting inconsistent results. This prompt maps segments to channels based on intent.

8. Diagnose Channel Performance Beyond Vanity Metrics

Act as a Web3 analytics-focused growth lead. (Your company name) tracks top-of-funnel metrics such as traffic, impressions, and wallet connects across multiple acquisition channels, but struggles to understand which channels actually drive meaningful product usage and long-term value for (your product). Propose a channel evaluation framework that connects acquisition source to activation quality, repeat onchain behavior, and long-term user value, and outline how this framework can be used to reallocate budget and effort toward channels that produce sustainable growth rather than short-term spikes.

When to use this: Your dashboard shows growing traffic but flat retention. This prompt builds a framework for evaluating channel quality, not just volume.

9. Design Channel Experiments for DeFi Growth

Act as a DeFi growth operator experienced in running structured channel experiments. (Your company name) wants to move away from ad hoc marketing and adopt a systematic approach to testing acquisition channels for (your product). Design a lightweight experimentation plan for testing new or underperforming channels in the DeFi context, including how to define success criteria tied to meaningful user actions, how long experiments should run to capture onchain behavior, and how to interpret results when user quality varies significantly across channels.

When to use this: You want to test new channels but lack a structured approach. This prompt creates an experimentation framework with DeFi-specific success criteria.

10. Build a Sustainable Channel Mix for Different Growth Stages

Act as a Web3 go-to-market advisor helping DeFi teams design sustainable growth strategies across different stages. (Your company name) is operating at an early or growth stage in the (your product category) space and is unsure how to balance short-term acquisition tactics with long-term channel investments for (your product). Propose a channel mix strategy for early, mid, and later stages of growth, explaining how the role of channels such as X, partnerships, content, community, and onchain campaigns should evolve over time, and how to avoid over-reliance on channels that create short-lived spikes without durable user retention.

When to use this: Your channel mix worked at 1,000 users but isn't scaling to 10,000. This prompt phases channel strategy by growth stage.

Content & Distribution

These prompts turn product updates into narratives and onchain data into shareable content. Use them when your content feels transactional or when distribution relies too heavily on organic reach.

11. Turn Product Updates Into High-Impact DeFi Content

Act as a Web3 content strategist who helps DeFi teams turn product updates into narratives that drive real engagement and adoption. (Your company name) is building in the (your product category) space and regularly ships product updates for (your product), but current announcements feel transactional and do not translate into meaningful user interest or activation. Reframe typical product updates into multiple content angles suitable for X threads, LinkedIn posts, and short-form educational content, with each angle connecting the update to a real user problem, a broader DeFi trend, and a clear reason for why the update matters to the target audience.

When to use this: Your product updates get posted but don't drive engagement. This prompt reframes updates as narratives tied to user problems and DeFi trends.

12. Create an Educational Content Engine for DeFi Users

Act as a Web3 content lead designing educational content programs for DeFi products. (Your company name) wants to build a content engine that compounds over time for (your product) in the (your product category) space, educating users while also driving qualified acquisition. Design a content framework that maps educational topics to different stages of the DeFi user journey, from early awareness to activation and repeat usage, and propose how formats such as X threads, blog posts, short guides, and visual explainers can work together to move users through the funnel.

When to use this: You're publishing content but it's not connected to the user journey. This prompt maps content to funnel stages so each piece has a strategic purpose.

13. Plan a DeFi Content Calendar Aligned With Growth Goals

Act as a Web3 growth marketer responsible for building content calendars tied to business outcomes. (Your company name) publishes content across X, LinkedIn, and a blog for (your product), but content planning is currently reactive and not clearly aligned with growth priorities in the (your product category) space. Propose a monthly content calendar framework that aligns content themes with specific growth objectives such as awareness, activation, and retention, and explain how different content formats and narratives should be sequenced to support these goals over time.

When to use this: Your content calendar exists but isn't tied to growth metrics. This prompt aligns content themes with business objectives.

14. Translate Onchain Insights Into Shareable Content

Act as a DeFi content analyst who turns onchain data into compelling, shareable narratives. (Your company name) has access to onchain insights and user behavior data related to (your product) but struggles to transform these insights into content that performs well on X and LinkedIn. Propose a repeatable process for identifying interesting onchain patterns, framing them into educational or opinionated content, and packaging them into short-form posts and visuals that highlight real user behavior while reinforcing the positioning of (your company name) in the (your product category) space.

When to use this: You have onchain data but don't know how to turn it into content. This prompt creates a process for translating data into narratives.

15. Optimize Distribution Strategy for DeFi Content

Act as a Web3 distribution strategist focused on maximizing content reach and impact in the DeFi ecosystem. (Your company name) creates content for (your product) but distribution relies heavily on organic posting without a clear strategy for amplification, partnerships, or community-driven sharing. Design a distribution strategy that outlines how content should be seeded across X, LinkedIn, communities, and partner channels, how to tailor messaging and timing to each surface, and how to measure whether distributed content is driving meaningful engagement and qualified user actions rather than vanity metrics.

When to use this: Your content is good but reach is flat. This prompt builds a distribution strategy beyond organic posting.

Activation & Funnel Optimization

These prompts diagnose why users drop off and how to get them to their first meaningful onchain action. Use them when wallet connects are high but activation is low.

16. Diagnose Wallet Connect Drop-Off

Act as a Web3 growth analyst who specializes in diagnosing activation problems in DeFi products. (Your company name) operates in the (your product category) space and sees a significant drop-off between wallet connect and the first meaningful onchain action for (your product). Analyze common reasons for this type of funnel breakdown in DeFi, identify likely friction points across UX, messaging, and incentives, and propose a prioritized list of activation improvements that could increase the percentage of users who reach their first meaningful onchain action.

When to use this: Users connect wallets but don't complete their first transaction. This prompt identifies friction points in the activation flow.

17. Improve Time-to-First-Meaningful Action

Act as a DeFi product growth specialist focused on improving early user activation. (Your company name) wants to reduce the time it takes for new users of (your product) in the (your product category) space to complete their first meaningful onchain action after initial interaction. Propose a set of product, onboarding, and messaging changes that could shorten this time-to-value, and explain how each change is expected to impact user understanding, confidence, and likelihood of completing that first action.

When to use this: Your time-to-first-action is too long and users churn before they see value. This prompt shortens the path to activation.

18. Identify Friction Points Across the DeFi Funnel

Act as a Web3 funnel optimization expert with experience analyzing multi-step user journeys in DeFi. (Your company name) has a multi-stage funnel for (your product) that includes awareness, first interaction, wallet connect, and repeated onchain usage, but the team lacks a clear understanding of where the most damaging friction points exist. Break down the typical DeFi user funnel into key stages, identify common sources of friction at each stage for products in the (your product category) space, and suggest concrete improvements that could reduce drop-off and improve overall activation quality.

When to use this: You know there's friction but don't know where. This prompt maps friction points across the entire funnel.

19. Design Activation Experiments for DeFi Users

Act as a Web3 growth operator who designs and runs activation experiments for DeFi products. (Your company name) wants to move from intuition-driven changes to structured experimentation to improve activation for (your product). Propose a set of activation experiments focused on improving first-time user success, including hypotheses tied to specific funnel steps, success criteria based on meaningful onchain actions, and guidance on how to interpret results when user behavior varies significantly by acquisition source and wallet type.

When to use this: You want to test activation changes systematically. This prompt creates an experimentation plan with DeFi-specific metrics.

20. Personalize Activation Paths by User Segment

Act as a DeFi lifecycle strategist who helps teams tailor onboarding experiences to different user segments. (Your company name) serves multiple user types within the (your product category) space, but currently offers a one-size-fits-all activation flow for (your product). Propose how the activation and onboarding experience could be personalized for different segments such as power users, casual users, and new-to-DeFi users, and explain how differentiated activation paths could improve first meaningful action rates and early retention.

When to use this: Your onboarding treats all users the same and activation rates vary wildly by segment. This prompt personalizes activation by user type.

Retention, Lifecycle & Power Users

These prompts help you understand what makes users stick and how to turn one-time users into power users. Use them when activation is strong but retention is weak.

21. Identify Behaviors of Retained and Power Users

Act as a Web3 retention strategist with experience analyzing long-term user behavior in DeFi products. (Your company name) operates in the (your product category) space and wants to better understand what differentiates retained users and power users of (your product) from one-time or short-term users. Analyze typical behavioral patterns that signal long-term retention and power user status in DeFi, and outline how these patterns could be used to define leading indicators of retention that (your company name) can monitor and optimize for.

When to use this: You don't know what separates users who stay from users who leave. This prompt identifies the behavioral signals of retention.

22. Design Lifecycle Messaging for DeFi Users

Act as a DeFi lifecycle marketing lead responsible for designing user communication flows. (Your company name) wants to improve retention for (your product) in the (your product category) space by implementing lifecycle messaging across key moments in the user journey. Propose a lifecycle communication framework that maps messages to user stages such as first interaction, post-first onchain action, early repeat usage, and long-term engagement, and explain how messaging should differ for different user segments to encourage continued usage and deeper engagement over time.

When to use this: You're not communicating with users after activation. This prompt creates a lifecycle messaging framework tied to user stages.

23. Diagnose and Reduce Early User Churn in DeFi

Act as a Web3 growth analyst focused on understanding and reducing early churn in DeFi products. (Your company name) observes that many users of (your product) complete an initial onchain action but do not return for repeat usage. Analyze common reasons for early churn in the (your product category) space, including product complexity, unclear value realization, and incentive misalignment, and propose concrete strategies that (your company name) could test to improve short-term retention and transition more users into habitual usage.

When to use this: Users complete one action then disappear. This prompt diagnoses early churn and proposes retention strategies.

24. Design Power User Loops and Engagement Mechanisms

Act as a DeFi growth architect who designs engagement loops for high-value users. (Your company name) wants to intentionally design experiences for power users of (your product) in the (your product category) space rather than treating them as an emergent outcome. Propose engagement loops, incentives, and product mechanics that could reinforce frequent usage, deeper protocol involvement, and user advocacy among power users, and explain how these loops could create compounding network effects over time.

When to use this: You want to design for power users instead of hoping they emerge. This prompt creates engagement loops that reinforce high-value behavior.

25. Build a Retention Measurement Framework for DeFi

Act as a Web3 analytics lead helping DeFi teams build retention measurement frameworks. (Your company name) wants to move beyond basic retention metrics for (your product) and understand long-term engagement patterns in the (your product category) space. Propose a retention measurement framework that includes cohort definitions, meaningful retention events based on onchain actions, and leading indicators of long-term engagement, and explain how this framework can be used to guide product and growth decisions over time.

When to use this: You're tracking retention but the metrics don't guide decisions. This prompt builds a retention framework tied to onchain behavior.

Analytics, Insights & Growth Experiments

These prompts turn dashboards into decisions and data into testable hypotheses. Use them when you have analytics but struggle to translate them into action.

26. Turn Dashboards Into Actionable Growth Insights

Act as a Web3 analytics lead who specializes in turning dashboards into actionable growth insights for DeFi teams. (Your company name) tracks web analytics, product usage, and onchain activity for (your product) in the (your product category) space, but the team struggles to translate dashboards into clear priorities and decisions. Analyze typical patterns that indicate growth opportunities or hidden problems in DeFi data, and propose a structured approach for converting observed trends into concrete growth hypotheses and prioritized actions.

When to use this: You have dashboards but no process for turning data into decisions. This prompt creates a framework for insight generation.

27. Design Cohort Analysis for DeFi User Behavior

Act as a DeFi data strategist with experience designing cohort analyses for Web3 products. (Your company name) wants to understand how different user cohorts of (your product) in the (your product category) space behave over time based on acquisition source, first onchain action, and early engagement patterns. Propose a cohort analysis framework that defines meaningful cohort groupings, key behaviors to track over time, and how insights from cohort comparisons can inform acquisition strategy, activation design, and retention efforts.

When to use this: You're looking at aggregate metrics and missing cohort-level patterns. This prompt builds a cohort analysis framework.

28. Generate Growth Hypotheses From Onchain Patterns

Act as a Web3 growth analyst who derives growth hypotheses from onchain user behavior. (Your company name) observes various onchain usage patterns for (your product) but lacks a systematic way to convert these observations into testable growth ideas. Propose a repeatable method for identifying interesting onchain patterns, translating them into hypotheses about user motivation or friction, and designing growth experiments that can validate or invalidate these hypotheses in a way that meaningfully impacts activation or retention.

When to use this: You see onchain patterns but don't know how to test them. This prompt turns observations into testable hypotheses.

29. Build a DeFi Growth Experimentation Framework

Act as a DeFi growth operator who helps teams move from ad hoc experiments to structured growth programs. (Your company name) wants to establish a consistent experimentation framework for improving growth outcomes for (your product) in the (your product category) space. Design an experimentation framework that covers how to prioritize experiments, define success metrics tied to meaningful onchain actions, structure experiment timelines given the slower feedback loops in DeFi, and document learnings so that growth insights compound over time.

When to use this: You run experiments but lack a consistent framework. This prompt creates a repeatable experimentation process.

30. Create a North Star Metric and Insight Loop for DeFi Growth

Act as a Web3 growth strategy advisor helping DeFi teams define a clear north star metric and insight loop. (Your company name) currently tracks many metrics for (your product) in the (your product category) space but lacks a unifying metric that aligns product, growth, and marketing teams around a single definition of success. Propose a north star metric that reflects meaningful user value creation, explain how supporting metrics should feed into it, and describe how insights derived from this metric can be operationalized into a continuous growth loop across product, marketing, and analytics functions.

When to use this: Your team tracks everything but lacks focus. This prompt defines a north star metric and builds an insight loop around it.

Partnerships & Ecosystem Growth

These prompts help you identify high-leverage partners and design co-marketing that drives adoption. Use them when partnerships feel opportunistic instead of strategic.

31. Identify High-Leverage DeFi Partnerships

Act as a Web3 partnerships lead with experience building protocol-to-protocol growth partnerships in DeFi. (Your company name) operates in the (your product category) space and wants to identify high-leverage ecosystem partners that can drive meaningful adoption of (your product) rather than superficial co-marketing. Propose a framework for identifying and prioritizing potential partners based on user overlap, complementary use cases, distribution leverage, and long-term strategic fit, and explain how these partnerships could translate into sustained user value and product adoption.

When to use this: You're approached by potential partners but lack criteria for evaluating them. This prompt builds a partnership prioritization framework.

32. Design Co-Marketing Campaigns With DeFi Partners

Act as a DeFi ecosystem marketing lead responsible for designing co-marketing initiatives between protocols. (Your company name) plans to run co-marketing campaigns with ecosystem partners to increase awareness and activation for (your product) in the (your product category) space. Propose co-marketing campaign concepts that go beyond simple announcements, including educational collaborations, joint content, and shared user journeys, and explain how each concept could drive qualified user activation rather than short-term attention.

When to use this: Your partnerships produce announcements but not activation. This prompt designs co-marketing that drives user action.

33. Evaluate Partner Quality and Downstream Impact

Act as a Web3 growth analyst focused on evaluating the true impact of ecosystem partnerships. (Your company name) has run partnerships and integrations related to (your product) but lacks a clear way to measure whether these partnerships produce high-quality, retained users in the (your product category) space. Propose a measurement framework for evaluating partner performance based on downstream user behavior such as activation, repeat onchain actions, and long-term value, and explain how these insights should inform future partner prioritization.

When to use this: You've launched partnerships but can't measure their impact. This prompt creates a partner evaluation framework.

34. Design Integrated User Journeys Across Protocols

Act as a DeFi product growth strategist who designs integrated user journeys across multiple protocols. (Your company name) is exploring deeper product or UX integrations with ecosystem partners to create smoother end-to-end user experiences for (your product) in the (your product category) space. Propose integrated user journey concepts that reduce friction between protocols, explain how these journeys could improve activation and retention, and outline the risks and tradeoffs of deeper ecosystem coupling.

When to use this: You want to integrate with partners at the product level. This prompt designs cross-protocol user journeys with explicit tradeoffs.

35. Build a Long-Term Ecosystem Growth Strategy

Act as a Web3 ecosystem strategy advisor helping DeFi teams think beyond one-off partnerships. (Your company name) wants to develop a long-term ecosystem growth strategy for (your product) in the (your product category) space rather than relying on opportunistic collaborations. Propose a long-term approach to ecosystem growth that balances short-term distribution wins with deeper strategic alignment, and explain how partnerships, integrations, and community relationships can compound over time to create durable growth advantages.

When to use this: Your partnerships are reactive. This prompt builds a long-term ecosystem strategy that compounds over time.

How to Customize These Prompts for Your Protocol

The prompts above work out of the box, but they become significantly more powerful when you customize them with your protocol's specific context.

Replace the Placeholders

Every prompt includes bracketed placeholders like (Your company name), (your product category), and (your product). Fill these in with your protocol's details before running the prompt.

Generic: "(Your company name) operates in the (your product category) space."
Customized: "Aave operates in the lending protocol space."

The more specific your context, the more strategic the output.

Add Your Actual Data

When prompts reference "web analytics, product usage data, and onchain wallet activity," paste in actual numbers if you have them. AI models can reason from real data.

Example addition: "We see 15,000 wallet connects per month, but only 4,200 users complete a first transaction. Of those, 1,800 return for a second transaction within 30 days."

This transforms the prompt from theoretical to tactical.

Specify Your Constraints

If you're working with budget limits, team size, or timeline constraints, add them to the context section.

Example: "The marketing team is two people and we have $10K per month for paid acquisition."

Constraints force AI models to prioritize and propose realistic solutions instead of aspirational ones.

Chain Prompts for Complex Problems

Some problems require multiple prompts in sequence. Use the output from one prompt as input for the next.

Example chain:

Use Prompt #6 (Identify High-Quality Acquisition Channels) to get a channel evaluation framework.
Use Prompt #9 (Design Channel Experiments) to create tests for the top two channels from step 1.
Use Prompt #26 (Turn Dashboards Into Actionable Growth Insights) to analyze results after running the tests.

Chaining prompts creates a multi-step strategic process instead of isolated outputs.

The difference between DeFi marketers who get generic AI models output and those who get strategic insights comes down to prompt structure. The five-component framework (Goal, Context, Role, Example, Actions) ensures every prompt produces protocol-specific, actionable output instead of textbook advice.

Start with the category that matches your current growth bottleneck. If your messaging feels generic, use the Strategy & Positioning prompts. If you're unsure which channels produce quality users, start with Acquisition & Channel Strategy. If activation is your problem, jump to Activation & Funnel Optimization.

Customize the prompts with your protocol's actual data and constraints. The more specific your input, the more useful the output. And when you're solving complex problems, chain multiple prompts together to build a multi-step strategic process.

These 35 prompts are templates. The real value comes from adapting them to your protocol's specific context and using them to guide decisions, not just generate content.

FAQs

Why does ChatGPT keep giving me such generic marketing advice for my DeFi project?

The issue isn't the AI; it's how you're prompting it. When you give vague requests like "help me with DeFi marketing," the model has no specific context to work with, so it defaults to generic, textbook answers. This guide breaks down a 5-part framework (Goal, Context, Role, Example, Actions) that forces the AI to produce protocol-specific, strategic output instead of advice that could apply to any Web3 project.

Are there any ready-made prompts I can just copy and paste for DeFi marketing?

Yes. This resource includes 35 ready-to-use prompts organized by growth problem: positioning, acquisition, content, activation, retention, analytics, and partnerships. Each prompt has bracketed placeholders you swap out with your protocol's details. You can use them as-is or customize them with your actual data for sharper output.

How do I write a good AI prompt for something specific like DeFi user segmentation or positioning?

Good DeFi prompts need five things: a clear deliverable (Goal), your protocol's competitive situation (Context), an expert persona for the AI to adopt (Role), the specific data or behaviors to analyze (Example), and the tone or framing you need (Actions). This guide walks through each component with weak vs. strong examples so you can apply the framework to any marketing problem.

Can AI actually help with DeFi growth strategy, or is it only good for writing content?

AI models are useful well beyond content, if you prompt them correctly. This guide covers strategic use cases like diagnosing funnel drop-off, identifying high-quality acquisition channels, building retention frameworks, evaluating partnership quality, and defining north star metrics. The prompts are designed to produce strategic thinking, not just copy.

I have onchain data and analytics but don't know how to turn them into actual marketing decisions. Can AI help with that?

Absolutely. Several prompts in this guide are specifically built for this problem: turning dashboards into growth hypotheses, designing cohort analyses from onchain behavior, and building experimentation frameworks with DeFi-specific success metrics. The key is feeding your actual numbers into the prompt context so the AI reasons from your real situation rather than generic assumptions.

Agentic Analytics for DeFi & Crypto Growth Teams with Formo's Ask AI

Yos Riady — Mon, 23 Mar 2026 01:13:24 +0000

Stop waiting on data teams. Start asking questions and getting answers in seconds.

Every onchain product team has felt this friction: you know the data holds the answer, but getting to it requires writing SQL, wrangling dashboards, or filing a request with an analyst who is already buried in other work. By the time the insight lands, the window to act on it has closed.

Formo's Ask AI and Insights feature changes that equation entirely. It puts a dedicated analytics brain directly inside your product analytics dashboard, one that understands your onchain data, speaks natural language, and delivers actionable findings the moment you need them.

Introducing Ask AI

Ask AI is an AI-powered data analyst embedded into the Formo dashboard. Instead of writing SQL queries by hand or clicking through filter menus, you type a question the way you would ask a colleague sitting next to you.

"Where are my users coming from this week?"
"What's the retention rate for wallets acquired through our newsletter campaign versus Twitter?"
"Show me daily active wallets over the last 90 days, broken down by chain."

Behind the scenes, Formo translates your question into a precise SQL query, runs it against your analytics data in real time, and returns both a human readable explanation and a visual chart. Instant answers. No waiting for engineering or data teams. No SQL required.

Ask AI generates SQL queries against your actual data that you can run yourself, which means the answers are grounded in what is happening in your product right now.

Turn Questions into Charts

One of the most practical features of Ask AI is the ability to persist what you discover. When the AI surfaces a chart that captures exactly the metric you need to track, you can save it directly to your dashboard with a single click. Name it, set a refresh interval, and it becomes a living part of your analytics workflow.

This turns exploratory conversations into permanent monitoring infrastructure. A question you asked on a Tuesday morning can become the chart your whole team checks every day.

What Kinds of Questions Can You Ask?

Ask AI covers the full spectrum of product analytics for onchain applications. Here are some of the areas where it excels:

Acquisition and growth questions help you understand where users are coming from and which channels are actually converting. You can ask about traffic sources, referral patterns, and campaign performance without needing a separate attribution tool.
Retention and cohort analysis lets you compare how different user segments behave over time. Ask about weekly retention curves, churn patterns for specific cohorts, or how users acquired through airdrops retain compared to organic users.
Revenue and transaction patterns reveal what is driving onchain activity. Dig into transaction volumes, fee generation, revenue trends, and which user segments are contributing the most value.
User segmentation and wallet intelligence is where Formo's onchain-native data model really shines. Because the platform tracks wallet-level data including net worth, token holdings, cross-chain activity, and app usage, you can ask questions that would be impossible in traditional analytics tools. Things like "Which of my power users also use [competitor protocol]?" or "What's the average net worth of wallets that completed onboarding this month?"
Anomaly detection works proactively. Ask AI can flag unusual spikes or drops in your metrics and offer potential explanations, so you catch problems (or opportunities) before they show up in your weekly review.

How It Works Under the Hood

Formo's AI layer is built on a real-time analytics infrastructure that processes onchain events as they happen.

When you ask a question, the system does several things simultaneously. It interprets the intent behind your natural language query. It maps that intent to the relevant data sources in your workspace, including smart contract events, user profiles, session data, and wallet intelligence. It generates an optimized SQL query. And it returns both a data-driven answer and a visualization.

Formo also offers a Model Context Protocol (MCP) server, which means you can connect Formo's analytics capabilities to external AI tools and workflows. If your team already works inside Claude, Cursor, or other AI-native environments, you can query your Formo data without ever leaving those tools. This is particularly powerful for engineering and growth teams that want to build custom agents or automated reporting pipelines on top of their product analytics.

The MCP integration follows the same security model as the rest of Formo's infrastructure, with token-based authentication ensuring that data access is scoped appropriately. In multi-tenant environments, row-level policies prevent data leakage between different users or organizations.

Proactive Insights: Patterns You Didn't Know to Look For

While Ask AI responds to the questions you already have, the Insights feature addresses a different problem: the questions you did not think to ask.

Insights continuously analyzes your product data to surface trends, anomalies, and behavioral patterns that might otherwise go unnoticed. It identifies seasonality in user activity, flags sudden changes in conversion rates, spots emerging user segments, and highlights correlations between different metrics.

Think of it as a background analyst that never stops looking at your data. When something meaningful shifts, Insights brings it to your attention along with context about why it might matter and what you could do about it.

For growth teams, this is where real leverage comes from. You are not just tracking the metrics you already defined. You are discovering new ones that reflect how your product is actually being used.

Built for Crypto and DeFi, Not Retrofitted

Most analytics platforms were designed for web and mobile products and then adapted for crypto. That means they treat wallets as an afterthought, struggle with cross-chain data, and have no concept of onchain-native segmentation.

Formo was built from the ground up for onchain applications. The data model natively understands wallet addresses, smart contract events, token balances, cross-chain activity, and the unique behavioral patterns of decentralized applications. When Ask AI generates a query, it is working with a schema that was designed for this exact use case.

This matters in practice. When you ask "Show me my most engaged users," the answer includes onchain activity signals like transaction frequency, contract interactions, and cross-protocol usage. Not just page views and click events.

Ten Prompts to Get Started

Here are some practical prompts you can try with Ask AI:

"Where are my users coming from?" to understand acquisition channels at a glance.
"What's my daily active wallet count trending over the past 30 days?" for a quick health check.
"Compare retention rates for users acquired from Twitter vs Discord." to evaluate channel quality.
"Which user segments have the highest transaction volume?" to find your most valuable cohorts.
"Show me the conversion funnel from wallet connection to first transaction." to identify drop-off points.
"Are there any unusual spikes or drops in my metrics this week?" to catch anomalies early.
"What does my geographic distribution of users look like?" to understand where your audience lives.
"Which features have the highest adoption rate among new users?" to prioritize your product roadmap.
"Break down revenue by user segment for the last quarter." to understand what drives value.
"What patterns do you see in my churned users?" to learn what drives people away.

For each you can ask for a chart you can save and make follow-up questions to dig deeper.

Getting the Most Out of Ask AI

A few practical tips to make your conversations with Ask AI more productive:

Be specific about time ranges. "Last 7 days" gives better results than "recently." The AI works best when it knows exactly what window of data to query.
Name your segments. If you have defined user segments in Formo (whales, power users, new wallets), reference them by name. The AI understands your custom segmentation.
Ask follow-up questions. The best insights often come from the second or third question in a thread. Start broad, then narrow down based on what you find.
Validate with domain expertise. Ask AI is a powerful analytical tool, but your team's knowledge of user behavior, market context, and product strategy is irreplaceable. Use the AI's findings as a starting point for deeper investigation, not as the final word.
Save what matters. If a chart or metric proves useful, save it to your dashboard immediately. The best analytics workflows are built incrementally, one useful visualization at a time.

The Future of Analytics is Agentic

The shift happening in product analytics is not just about convenience. It is about who gets to participate in data-driven decision making.

When insights require SQL expertise and weeks of analyst time, only a small fraction of the team can work with data directly. Everyone else relies on secondhand summaries and pre-built dashboards that may not answer their specific questions.

Ask AI and Insights remove that bottleneck. Growth managers, community leads, product managers, and founders can all query the same data with the same depth, in real time. The result is faster iteration cycles, better-informed decisions, and a team that operates on shared evidence rather than competing intuitions.

For teams building onchain products in a fast-moving market, that speed advantage compounds quickly.

Frequently Asked Questions

Do I need to know SQL to use Ask AI?

No. Ask AI is designed so that anyone on your team can query product data using plain English. You type a question the way you would ask a colleague, and the system handles the query generation, execution, and visualization behind the scenes. That said, if you do know SQL, Formo also offers a custom SQL query editor for more advanced analysis.

What data can Ask AI access?

Ask AI queries against all the data in your Formo workspace. That includes offchain events tracked through Formo's SDK (page views, button clicks, wallet connections), onchain smart contract events across supported chains (Ethereum, Base, Arbitrum, Optimism, Polygon, and more), wallet-level intelligence like token holdings, net worth, and cross-chain activity, and any custom user segments or properties you have defined.

How accurate are the results?

Ask AI generates real SQL queries against your actual data, so the numbers it returns are as accurate as the underlying dataset. Every response includes the generated query so you can inspect exactly what was run. For complex or high-stakes analysis, we recommend validating findings with your team's domain expertise and using the results as a starting point for deeper investigation.

What is the difference between Ask AI and Insights?

Ask AI is reactive: you ask a question and get an answer. Insights is proactive: it continuously monitors your data for trends, anomalies, and behavioral patterns, then surfaces findings you might not have thought to look for. They complement each other. Ask AI helps you answer known questions fast, while Insights helps you discover unknown ones.

Can I connect Ask AI to other tools my team uses?

Yes. Formo supports a Model Context Protocol (MCP) server, which lets you query your analytics data from AI-native environments like Claude, Cursor, and other MCP-compatible tools. This means your engineering and growth teams can build custom agents, automated reports, or internal tools that pull directly from Formo's data layer without needing to switch contexts.

Is my data secure when using Ask AI?

Ask AI operates within Formo's existing security model. All queries are scoped to your workspace through token-based authentication. In multi-tenant setups, row-level policies ensure that users only see data they are authorized to access. No data leaves your workspace to train external models.

Can I save the charts and answers I get from Ask AI?

Yes. Any chart that Ask AI generates can be saved directly to your Formo dashboard with one click. You can name it, set a refresh interval, and it becomes a permanent part of your analytics workflow. This is one of the most practical features: exploratory questions can turn into persistent monitoring in seconds.

How to Build Personalization into Crypto and DeFi Apps with Formo Profiles API

Yos Riady — Mon, 23 Mar 2026 01:13:13 +0000

Personalization has become a baseline expectation across consumer software. Klaviyo reports that 74% of consumers expect brands to provide personalized experiences, and platforms like Segment and Hightouch have built entire businesses around helping companies deliver on that promise through unified customer profiles and real-time data activation.

But in crypto and DeFi, most applications still treat every wallet the same way. A user who has been staking ETH for three years, holds six figures across multiple protocols, and has a verified Coinbase account sees the same landing page as someone connecting a wallet for the first time. The data to differentiate these users exists on-chain, but the tooling to act on it at the application layer has been missing.

Formo's Profiles API closes that gap. It transforms raw wallet addresses into 360-degree user profiles, combining on-chain transaction history, token balances, DeFi positions, social identities across 15+ platforms, behavioral labels, and first-party analytics data.

Crypto and DeFi teams get the same personalization infrastructure that Web2 companies rely on, but designed for a world where the primary identifier is a wallet address, the data is public and cross-application, and users move between chains and protocols constantly.

This guide covers:

What the Profiles API does, and what data it returns
How to use the Profiles API with search, filtering, and sorting
How Formo compares to Web2 CDPs like Segment, Klaviyo, and Hightouch
Concrete use cases for personalization, CRM, compliance, and segmentation
How to get started with authentication, endpoints, and your first API call
Frequently asked questions

What Is the Profiles API?

The Profiles API provides enriched wallet intelligence. Every blockchain address that interacts with your application gets a profile that merges on-chain and off-chain data into a single, queryable record. Formo describes this as turning anonymous wallets into actionable, onchain personas.

A wallet profile includes:

On-chain activity: total transaction count, first and last on-chain timestamps, per-chain breakdowns across Ethereum, Polygon, Arbitrum, Base, Optimism, BNB Chain, Avalanche, and dozens more
Portfolio data: net worth in USD aggregated across all chains, token balances with price data, DeFi app positions with protocol names and USD values
Social identity: ENS, Farcaster, Lens, Basenames, Twitter/X, Discord, Telegram, GitHub, LinkedIn, email, Reddit, Instagram, Facebook, TikTok, YouTube, and personal websites
User Lifecycle: automatically segments users as New, Returning, Power User, Churned, or Resurrected based on engagement patterns
Wallet labels: Coinbase verification status, sanctions screening via Chainalysis, Passport humanity scores
First-party data: session counts, first/last seen timestamps, revenue, volume, points, device type, browser, OS, country, and full UTM attribution (first-touch and last-touch)

How to Use the Profiles API

The Profiles API provides two main endpoints. The Get Profile API fetches a single enriched profile for any wallet address. The Search Profiles API lets you query across your entire user base with advanced filter conditions.

The Search Profiles API accepts a conditions array where each condition specifies a field, operator (eq, neq, gt, gte, lt, lte, in, nin), and value. Conditions combine with and or or logic, and results support pagination up to 1,000 per request with sorting by fields like net_worth_usd, tx_count, or last_onchain.

The expand parameter controls which additional data collections are included in the response. Options are apps, chains, tokens, and labels, each capped at 50 items. Omitting expand fields keeps the response lean for use cases where you only need the core profile.

How It Compares to Web2 CDPs

If you have used Segment's Profile API, Klaviyo's customer data platform, or Hightouch's audience and activation features, the mental model is familiar. Segment gives you a unified customer profile stitched from website events, mobile interactions, and third-party data. Klaviyo builds 360-degree profiles with RFM scoring, predictive analytics, and real-time segmentation for e-commerce. Hightouch syncs warehouse data into audience segments and activates them across marketing and product channels.

Formo does the same thing for Web3. Instead of cookies and email addresses as the primary identifier, Formo uses wallet addresses and resolves them into rich profiles with on-chain history, token balances, cross-chain activity, and decentralized social identities. Where Segment stitches together events from Mixpanel, Stripe, and Zendesk, Formo aggregates data from Ethereum, Polygon, Arbitrum, Base, and dozens of other networks into a single profile.

The structural advantage is that Web3 data is inherently public and cross-application. A wallet's history on Uniswap, Aave, and OpenSea is all visible on-chain. Formo's Profiles API aggregates this public data alongside your first-party analytics, giving you context that a Web2 CDP could never provide, because the underlying data simply does not exist in traditional systems. You see not just what a user did on your platform, but their entire on-chain footprint.

Use Cases

Real-Time Personalization

This is where the Profiles API has the most immediate impact. When a wallet connects, fetch the profile and adapt the experience in real time. A DeFi protocol can show yield strategies relevant to the tokens the user already holds. An NFT marketplace can surface collections on the chains where the user is most active. A token launch page can skip the onboarding tutorial for a power user with 500+ transactions and instead show advanced features.

The pattern is the same one that drives hyper-personalization in e-commerce, where platforms like Klaviyo use purchase history, browsing behavior, and predictive scoring to tailor every touchpoint. The difference is that Formo pulls from on-chain activity that spans the entire ecosystem, not just your own application. You know the user's DeFi positions on Aave, their NFT holdings on OpenSea, and their social identity on Farcaster before they take a single action on your site.

Consider the concrete implementation: a user connects with a wallet that has a net worth above $100K, verified Coinbase account, and active DeFi positions on three chains. Your frontend fetches the profile, checks the lifecycle field (Power User), reads the net_worth_usd, and renders an experience calibrated for a sophisticated user. A first-time visitor with an empty wallet gets a guided onboarding flow instead.

Web3 CRM and User Intelligence

Build a Web3-native CRM by combining the Search Profiles API with your internal data. The search endpoint accepts a conditions array where each condition specifies a field, operator, and value. Operators include eq, neq, gt, gte, lt, lte, in, and nin, and you can combine conditions with and or or logic.

For example, you can query for all users with net worth above $10,000 who were last active in the past 7 days and hold tokens on Base, then get paginated, sortable results. Your growth team can use this to identify high-value users for outreach, track whale activity across your platform, or build internal dashboards that show wallet-level detail alongside engagement metrics.

Wallet-Aware Customer Support

When a user reaches out for help, pull their profile instantly. Support agents see the user's transaction history, connected social identities, lifecycle stage, session data, and past interactions without needing to ask the user to explain their situation. The Profiles API resolves identities across ENS, Farcaster, Discord, and other platforms, so agents can verify who they are talking to and pull in relevant context. This mirrors what companies like Klaviyo provide for e-commerce support, where agents see the customer's full purchase history alongside the support ticket.

Compliance and Risk Monitoring

The Profiles API includes sanctions screening through Chainalysis integration and Coinbase verification status via Ethereum Attestation Service. Use the labels expand field to access OFAC sanctions.designated and coinbase.verified_account data points. You can check these on every wallet connection, building compliance gates directly into your application logic. For regulated DeFi protocols and centralized exchanges, this turns a manual compliance step into an automated API call.

Audience Segmentation for Campaigns

Search profiles to build targeted segments for airdrops, token distributions, or marketing campaigns. Filter by on-chain behavior (transaction count, net worth, chain activity), combine with social data (verified Farcaster users, ENS holders), and sort results by net_worth_usd, tx_count, last_onchain, or first_onchain. The Profiles API supports pagination up to 1,000 results per request, so you can iterate through your entire user base programmatically and export cohorts for downstream tools.

How to Get Started

Getting up and running takes two steps.

Step 1: Generate an API key. Log into your Formo dashboard, navigate to your workspace settings, and create an API key. Formo uses scope-based permissions, so select the profiles:read scope when generating your key. Your key goes in the Authorization header as a Bearer token.
Step 2: Fetch your first wallet profile. Look up any address to get the full enriched profile: curl -sS \ -H "Authorization: Bearer YOUR_API_KEY" \ "https://api.formo.so/v0/profiles/0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045?expand=apps,chains,tokens,labels"curl -sS \ -H "Authorization: Bearer YOUR_API_KEY" \ "https://api.formo.so/v0/profiles/0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045?expand=apps,chains,tokens,labels"curl -sS \ -H "Authorization: Bearer YOUR_API_KEY" \ "https://api.formo.so/v0/profiles/0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045?expand=apps,chains,tokens,labels"

Next Steps

To start building with the Profiles API:

Create yourFormo account and set up a project
Create an API key in your workspace settings with profiles:read scope
Read the fullAPI reference for endpoint details, request/response schemas, and error handling
Explorewallet profiles for a deeper look at profile data fields and enrichment sources
Integrate into your stack by calling the API from your backend, building real-time features with profile data, and creating personalized experiences based on wallet intelligence

Whether you are personalizing a DeFi interface, building a Web3 CRM, or segmenting users for a token launch, the Profiles API gives you the data layer to make it happen.

Frequently Asked Questions

What is the Formo Profiles API?

The Profiles API provides enriched wallet intelligence for any EVM blockchain address. It returns on-chain activity, token holdings, DeFi positions, social identities across 15+ platforms (ENS, Farcaster, Lens, Discord, Twitter/X, and more), net worth estimates, lifecycle stage, and behavioral labels. You can fetch a single profile with the Get Profile API or search across your entire user base with the Search Profiles API using advanced filter conditions.

How do I authenticate with the Formo Profiles API?

All API requests require a Bearer token in the Authorization header. You generate workspace API keys from the Formo dashboard with scope-based permissions. The Profiles API requires a key with profiles:read permission. You can create separate keys for different scopes to follow the principle of least privilege.

What blockchains does the Profiles API support?

The Profiles API aggregates data across all major EVM-compatible chains including Ethereum, Polygon, Arbitrum, Optimism, Base, BNB Chain, Avalanche, Linea, Scroll, zkSync, Blast, and more. When you include expand=chains, each profile returns per-chain net worth, transaction counts, and first/last activity timestamps.

Can I filter and search wallet profiles programmatically?

Yes. The Search Profiles API accepts a conditions array where each condition specifies a field, op (operator), and value. Supported operators are eq, neq, gt, gte, lt, lte, in, and nin. You can filter across user fields, chain data, app positions, token holdings, and labels. Conditions combine with and or or logic, and results support pagination up to 1,000 per request with sorting by fields like net_worth_usd, tx_count, or last_onchain.

How does Formo compare to Web2 CDPs like Segment or Klaviyo?

Formo brings the same capabilities that Segment and Klaviyo offer for Web2 (360-degree profiles, behavioral segmentation, real-time querying) but built natively for blockchain data. Instead of cookies and email addresses, Formo resolves wallet addresses into rich profiles with on-chain history, token balances, social identities, and cross-chain activity. The public nature of blockchain data also means Formo can surface cross-application context that traditional CDPs cannot access.

What social identities does the Profiles API resolve?

The Profiles API resolves wallet addresses to identities across ENS, Farcaster, Lens, Basenames, Twitter/X, Discord, Telegram, GitHub, LinkedIn, email, Reddit, Instagram, Facebook, TikTok, YouTube, and personal websites. This data is sourced from ENS records, Web3Bio, and on-chain attestations.

What lifecycle stages does the Profiles API assign?

The Profiles API automatically classifies each wallet into a lifecycle stage: New (first-time engagement), Returning (consistent visits), Power User (active 5+ days in the last 30), Churned (30+ days inactive), or Resurrected (previously inactive, now re-engaged). These stages update automatically as user behavior changes, giving you a ready-made segmentation layer without any custom logic.

Common DeFi Marketing Mistakes That Waste Budget (And How to Avoid Them)

Yos Riady — Mon, 23 Mar 2026 01:13:02 +0000

Burning DeFi marketing budget without seeing sustained usage usually means growth is being optimized at the surface layer instead of at the value layer. Most wasted spend comes from tactics that look productive in dashboards but do not translate into repeated onchain actions or retained TVL. This is why many protocols feel busy while growth stays fragile.

At a glance, most budget waste comes from three patterns:

Optimizing for attention instead of usage
Scaling channels without attribution
Treating short-term liquidity as real adoption

The sections below break down where teams most often go wrong and how to correct the underlying growth mechanics. These failure patterns are easier to spot when viewed inside a structured DeFi marketing strategy.

Optimizing for hype instead of usage

Optimizing for hype leads to growth that looks strong in public metrics but weak in protocol usage. This happens because attention metrics are easier to grow than behaviors that require users to deploy capital.

Teams often optimize for:

Impressions and follower growth
Launch-day noise and announcement reach
Social engagement velocity

This leads to launches that trend on crypto social channels but fail to move deposits, swaps, or borrows. As a result, early traction signals mislead teams into believing product-market fit exists before users have actually taken risk on the protocol.

A healthier signal is whether attention leads to:

Wallet connects
First onchain actions
Repeat usage within a short time window

Growth that compounds is tied to behavior change, not visibility.

Paying for reach without attribution

Paying for reach without attribution leads to spend that cannot be defended or improved. This happens because offchain channels feel productive while downstream wallet behavior remains unmeasured.

Common patterns include:

Sponsoring content without tracking wallet outcomes
Running paid distribution without linking sources to first transactions
Renewing channels based on click-through rates alone

This leads to recurring budget allocations toward channels that drive activity but not capital movement. As a result, spend increases while TVL and active usage remain flat.

Where attribution exists, teams can at least answer:

Which sources lead to wallet connects
Which sources lead to first transactions
Which sources lead to repeat usage or retained TVL

When this mapping is missing, channel optimization becomes guesswork.

Designing incentives that attract mercenary liquidity

Incentives attract mercenary liquidity because rewards create temporary behavior that disappears when emissions stop. This leads to TVL spikes that decay once the incentive window closes.

Incentive-driven growth often shows:

Large short-term deposits
Rapid withdrawal after rewards taper
Low product usage outside incentive flows

As a result, protocols mistake temporary liquidity for real adoption. This inflates early performance metrics and leads teams to overestimate user commitment.

Incentives work when they support:

A core use case that remains attractive after rewards
Clear capital utility inside the protocol
Reasons for users to keep funds deployed

When incentives are the only reason to show up, growth resets when they end.

Ignoring retention and lifecycle design

Ignoring retention leads to growth that constantly resets. This happens because most users who try a protocol will not return unless the product gives them a clear next reason to stay engaged.

Early-stage growth teams often focus on:

Driving first interactions
Launch metrics
Activation volume

This leads to funnels where wallet connects and first transactions occur, but repeat usage stays low. As a result, acquisition spend must continually replace churned users.

Retention shows up in:

Repeat transaction rates
Duration of capital deployment
Frequency of protocol usage per wallet

Growth compounds when each cohort is more active than the last, not when every month starts from zero.

Making decisions without unified analytics

Making decisions without unified analytics leads to confident planning built on partial visibility. This happens because offchain metrics are easy to access while onchain behavior is fragmented across tooling.

Teams often operate with:

Web analytics for traffic
Campaign reports for distribution
Separate onchain dashboards for protocol usage

This leads to decisions based on surface-level growth while deeper user behavior remains disconnected. As a result, teams optimize what is visible rather than what drives long-term value.

Unified analytics allow teams to:

See how acquisition sources map to wallet actions
Compare channels by retained TVL, not just traffic
Identify where users drop off between first and repeat usage

Without this view, growth planning becomes reactive instead of strategic.

A simple checklist to audit your growth setup

Most DeFi growth setups fail because basic questions about usage and value flow are not answered. A simple audit helps reveal whether budget is driving real protocol adoption or just visible activity.

Growth audit checklist

Area	Question to ask	What to look for
Acquisition	Which channels lead to first onchain actions?	Channel-to-wallet mapping
Activation	What % of connects become first transactions?	Drop-off between connect and action
Retention	How many wallets transact again within 30 days?	Repeat usage by cohort
Capital behavior	How long does TVL stay deployed?	Duration of capital retention
Incentives	What happens when rewards taper?	TVL decay vs sustained usage
Measurement	Can we trace spend to onchain outcomes?	Attribution coverage

If most answers rely on traffic, impressions, or wallet connects alone, growth is being measured at the surface layer. Real optimization starts when spend is evaluated by downstream behavior.

Final takeaway

Most DeFi marketing budget gets wasted not because teams choose the wrong channels, but because they measure the wrong outcomes. When growth is evaluated by attention instead of behavior, spend scales activity that does not translate into usage or retained TVL. Tightening attribution, prioritizing activation and retention, and auditing growth mechanics by onchain outcomes turns marketing from noise into a lever for durable protocol adoption.

FAQs About DeFi Marketing Mistakes

Why do DeFi campaigns generate hype but no real usage?DeFi campaigns generate hype but no real usage because they optimize for impressions, followers, or short-term attention instead of first transactions and repeat usage. This leads to launches that look successful on social but fail to move TVL or active wallets. As a result, teams misread early traction and double down on channels that do not convert. Growth only compounds when distribution is tied to onchain behavior.

Why do we keep paying for reach if we cannot attribute it to onchain outcomes?Teams keep paying for reach because attribution across wallets and channels is hard, which leads to relying on surface metrics like clicks or views. This is why budget gets locked into channels that feel busy but do not create measurable value. As a result, spend becomes a vanity exercise instead of a growth lever. Budget discipline only works when channels are evaluated by downstream wallet actions.

Why do incentive programs attract users who leave as soon as rewards end?Incentive programs attract short-term users because rewards create artificial demand that disappears once emissions stop. This leads to liquidity that looks healthy during campaigns but collapses afterward. As a result, protocols experience TVL spikes without long-term adoption. Incentives work only when paired with real utility that gives users a reason to stay.

Why does ignoring retention quietly kill DeFi growth?Ignoring retention kills growth because most users who try a protocol do not return without clear next steps or reasons to keep capital deployed. This leads to a funnel that constantly leaks users after the first transaction. As a result, teams overspend on acquisition to replace churn. Retention design determines whether growth compounds or resets every cycle.

Why do teams make confident growth decisions with bad data?Teams make confident growth decisions with bad data because offchain metrics are easy to access while onchain outcomes are fragmented across tools. This leads to dashboards that show activity but hide user behavior over time. As a result, teams optimize what is visible rather than what matters. Unified analytics is what turns growth from guesswork into prioritization.

DeFi Marketing Playbooks by Stage: Pre-Launch, Launch, and Post-Launch Growth

Yos Riady — Mon, 23 Mar 2026 01:12:51 +0000

Using the wrong DeFi growth tactics at the wrong time kills momentum because user readiness, product maturity, and risk tolerance change by stage. Growth only compounds when distribution matches what the product can realistically convert at that moment.

At a glance, stage-aware DeFi growth comes down to three checks:

Is the product ready for capital, or only for interest and feedback?
Can users complete a first value-bearing action without friction?
Are there reasons for wallets to return and keep capital deployed?

This article breaks down what to focus on before launch, at launch, and after launch so growth efforts map to real usage and retained TVL. These stage-specific playbooks make the most sense within a broader DeFi marketing growth model.

Why growth tactics change by maturity stage

Growth tactics must change by maturity stage because the protocol’s ability to absorb demand evolves over time. Pre-launch has no onchain surface, launch is about first risk-taking, and post-launch is about repeat usage and capital utility.

When teams reuse the same playbook across stages, channels lead to misleading signals. This is why early hype leads to flat TVL, and why late-stage retention issues get masked by new traffic. Stage-aware growth aligns distribution with what the product can convert.

Key shifts by stage

Stage	What users can realistically do	What growth should optimize for
Pre-launch	Learn, wait, test, signal interest	Readiness and qualified intent
Launch	Try the protocol with small capital	First onchain action and trust
Post-launch	Return, reuse features, deploy more TVL	Retention, capital utility, repeat usage

Growth tactics must follow product readiness, not the other way around. This alignment prevents wasted spend and distorted success metrics.

Pre-launch: narrative, waitlists, early community

Pre-launch growth focuses on narrative clarity, early community, and collecting wallets that are likely to try the protocol at launch because there is no onchain surface to convert yet. The goal is to seed future activation, not to force TVL before the product can safely absorb it.

Effective pre-launch work looks like:

Clear positioning around what problem the protocol solves and for whom.
Waitlists that capture wallet addresses, not just emails, to assess crypto-native intent.
Testnet programs and early access for builders and power users.

This stage leads to better launch conversion because early users arrive with context and expectations. As a result, first-use rates tend to be higher when launch flows go live.

A growth lead with prior protocol launches will often spend pre-launch time in direct conversations with early integrators, market makers, or DAO operators to validate whether the product fits real workflows. This feedback loop shapes onboarding and risk communication before mainnet exposure.

Launch: onboarding flows, trust signals, activation

Launch-stage growth is about converting early interest into first value-bearing actions because this is when users decide whether to take on protocol risk. Distribution only works if onboarding, documentation, and trust signals are ready.

Teams should prioritize:

Simple onboarding flows that reduce friction from wallet connect to first transaction.
Clear explanations of risks, audits, and protocol mechanics.
Activation paths that guide users to one core action, not five optional features.

This leads to higher first-transaction rates because users know what to do and why. As a result, launch traffic turns into measurable usage rather than empty wallet connects.

Typical launch-stage funnel

Step	Failure mode	What to fix first
Wallet connect	High connects, low transactions	Onboarding clarity and UX friction
First transaction	One-off use only	Activation path and product education
Post-first action	No repeat usage	Follow-up messaging and use case guidance

If activation is weak, scaling distribution at launch leads to wasted momentum. Fixing first-use flows usually unlocks more value than adding new channels.

Post-launch: retention loops, lifecycle messaging, capital utility

Post-launch growth focuses on retention loops, lifecycle messaging, and capital utility because one-time deposits often come from incentives and do not represent durable adoption. Real growth shows up when wallets return and increase usage over time.

Post-launch priorities include:

Lifecycle messaging that guides users to the next relevant action.
Feature education tied to real user behavior, not generic announcements.
Capital utility, meaning clear reasons to keep funds deployed in the protocol.

This leads to higher retained TVL because users find ongoing reasons to engage. As a result, growth becomes tied to product value delivery rather than campaign bursts.

Teams that have managed liquidity programs at scale often see TVL decay when incentives drop. This is why post-launch growth needs non-incentive reasons for capital to stay, such as composability, yield reliability, or workflow integration with other protocols.

How to avoid premature scaling

Premature scaling happens when teams push distribution before activation and retention loops are stable. This leads to higher spend without durable usage because growth amplifies existing funnel leaks.

Common signs of premature scaling:

Paid or influencer campaigns driving traffic with low first-transaction rates.
Wallet connects increasing while retained TVL stays flat.
Support load rising due to unclear onboarding and documentation.

The fix is to pause channel scaling until first-use and repeat-use rates stabilize. As a result, later distribution compounds instead of leaking.

A practical checkpoint is to track the ratio between wallet connects and first onchain actions. If this ratio is poor, adding more traffic usually worsens ROI rather than improving growth.

How to align growth motion with product maturity

Growth motion should align with product maturity because each stage unlocks different user behaviors and constraints. Narrative building fits pre-launch, activation optimization fits launch, and retention design fits post-launch.

Stage-aware planning means:

Shifting success metrics from readiness signals to activation, then to retention.
Re-ranking channels by their ability to drive the stage-specific outcome.
Updating growth priorities as the protocol surface expands.

This leads to more predictable growth because teams stop judging channels out of context. As a result, growth becomes a sequence of compounding motions instead of disconnected campaigns.

Protocols that adjust their growth framework as the product matures avoid the common trap of repeating early-stage tactics long after the product has moved on.

Final Takeaway

DeFi growth compounds when distribution matches product maturity. Pre-launch is about seeding qualified intent, launch is about converting that intent into first onchain actions, and post-launch is about giving users real reasons to return and keep capital deployed. Teams that align channels, metrics, and messaging to what the protocol can actually convert at each stage avoid burning budget on hype and build growth that shows up in retained TVL, not just charts.

FAQs About DeFi Marketing Playbooks

What should we focus on before mainnet if the product is not live yet?

Before mainnet, teams should focus on narrative clarity, early community, and collecting wallets that are likely to try the protocol at launch, because there is no onchain surface to convert yet. This leads to prioritizing waitlists, docs, testnet usage, and direct conversations with early integrators. As a result, success is measured by readiness and intent, not TVL. Pre-launch growth is about seeding future activation, not forcing demand too early.

Why does user acquisition often fail right after launch?

User acquisition fails after launch because teams scale distribution before onboarding and trust are ready, which leads to traffic that cannot convert into first transactions. This is why wallet connects spike but deposits stay low. As a result, launch momentum gets wasted on poor activation flows. Launch-stage growth only works when UX, documentation, and risk communication are clear enough for users to move capital.

When is it too early to start scaling paid or influencer channels?

It is too early to scale paid or influencer channels when activation and retention loops are not stable, because distribution amplifies existing funnel leaks. This leads to higher spend without durable usage. As a result, early budgets get burned on awareness that does not compound into retained TVL. Scaling should start only after first-use and repeat-use rates are predictable.

What should post-launch growth teams optimize for beyond TVL spikes?

Post-launch growth teams should optimize for repeat transactions, retained TVL, and capital utility, because one-time deposits often come from incentives and do not represent real product adoption. This leads to focusing on lifecycle messaging, feature education, and use case expansion. As a result, growth becomes tied to user outcomes rather than campaign bursts. Sustainable growth shows up in behavior, not just in charts.

How do we align growth strategy with product maturity over time?

Growth strategy should track product maturity by shifting from narrative building, to activation optimization, to retention and monetization, because each stage unlocks different user behaviors. This is why the same channel performs differently over time. As a result, growth planning becomes stage-aware instead of channel-centric. Teams that adjust motions by maturity avoid premature scaling and stalled growth loops.

DeFi Marketing Analytics: How to Measure Growth Beyond Traffic

Yos Riady — Mon, 23 Mar 2026 01:12:40 +0000

Traffic going up while protocol usage stays flat usually means analytics are misaligned with how DeFi users behave onchain. Measuring real growth in DeFi requires linking offchain acquisition to wallet actions and retained value, not just counting visits or clicks.

At a glance, DeFi growth measurement breaks down into three checks:

Are visitors connecting wallets and completing a first onchain action?
Do those wallets return and transact again over time?
Does any of this translate into retained TVL or recurring usage?

This article reframes analytics around what actually moves capital. To see how measurement connects to the broader DeFi marketing strategy, explore the full growth framework.

Why Web2 analytics fails in DeFi

Web2 analytics fails in DeFi because tools like Google Analytics only see page views and clicks, not onchain behavior. This leads to reports that look healthy even when swaps, deposits, or borrowing stay flat. As a result, teams optimize for traffic growth instead of capital movement and retention.

Web analytics was built for logged-in users and session tracking. DeFi users are wallets that move between dapps, bridges, and protocols. Because identities are pseudonymous and fragmented, offchain tools miss the moment value is created. This is why teams feel a disconnect between “growth” dashboards and what the product team sees in actual usage.

What Web2 analytics captures vs what DeFi teams need

Layer	What Web2 tools see	What DeFi teams need
Acquisition	Page views, clicks	Source that led to wallet connect
Activation	Sign-ups	First swap, deposit, or borrow
Retention	Returning sessions	Repeat onchain transactions
Value	Conversions	Retained TVL, recurring volume

These gaps exist because Web2 analytics was never designed to observe blockchain state changes. This is why growth teams need to instrument the onchain side of the funnel.

Mapping offchain events to onchain actions

Mapping offchain events to onchain actions means linking where a user came from to what that wallet does onchain. This matters because clicks alone do not create protocol value. As a result, channels that look good in web reports often fail to move TVL.

A practical mapping flow looks like this:

Campaign source → landing page view
Landing page → wallet connect
Wallet connect → first onchain action
First action → repeat transactions or retained TVL

The fragile point is the handoff between web events and wallet actions. If that link is missing, attribution breaks. Growth teams then scale channels that generate attention but not usage. This is why many protocols overinvest in media distribution or broad KOL pushes that drive impressions without deposits.

An example seen in multiple DeFi teams is content that ranks well for general crypto news keywords. It brings traffic, but because the intent is informational, wallet connect rates stay low and activation drops off. This leads to a channel that looks strong in GA but weak in protocol metrics.

Defining what a “user” is in DeFi

A “user” in DeFi is usually defined as a wallet, not a person. This leads to inflated user counts because one person can control multiple wallets. As a result, retention and cohort metrics can look better or worse depending on how wallets are counted.

Common user definitions teams use:

Wallet: one address equals one user
Cluster: multiple wallets grouped by behavior patterns
Cohort: wallets grouped by acquisition source or first action

Each definition introduces tradeoffs. Wallet-level metrics are precise but fragment identity. Clustering can reveal power users or sybil-like behavior, but it introduces assumptions that must be handled carefully. This is why growth reports should always state what “user” means in the context of the metric being shown.

When teams do not define this clearly, comparisons over time become misleading. A spike in “users” can simply reflect airdrop farming behavior rather than real adoption.

Core analytics questions growth teams should answer

Growth analytics in DeFi should answer a small set of operational questions tied to onchain outcomes. This matters because dashboards that answer everything usually answer nothing clearly. As a result, teams struggle to prioritize channels or product changes.

Core questions that actually guide decisions:

Which channels lead to first onchain actions, not just wallet connects?
How many wallets complete a second transaction within 7 or 30 days?
Which flows or features correlate with retained TVL?
Where does drop-off happen between connect and first transaction?

These questions anchor growth discussions in behavior, not visibility. When growth reviews start from these questions, channel and product debates become grounded in data that reflects real protocol usage.

How to build a unified growth dashboard

A unified growth dashboard connects acquisition, activation, and onchain value in one view. This matters because fragmented tools create fragmented decisions. As a result, marketing, product, and data teams often argue over which numbers are “real.”

A practical dashboard usually includes:

Source of acquisition at wallet connect
First onchain action by wallet
Repeat transaction rate over time
Retained TVL by cohort

Example structure of a growth dashboard

Funnel stage	Metric	Why it matters
Acquisition	Wallet connects by source	Shows channel quality
Activation	% of wallets with first tx	Measures onboarding effectiveness
Retention	Repeat tx rate (7d, 30d)	Indicates product pull
Value	Retained TVL by cohort	Ties growth to capital

This layout works because it forces every channel and campaign to be evaluated by downstream behavior. When teams review this weekly, budget and roadmap decisions become harder to game with surface metrics.

Common analytics mistakes that lead to bad decisions

The most damaging analytics mistakes in DeFi come from treating traffic and wallet connects as success. This leads to growth strategies that scale attention without creating durable usage. As a result, spend increases while TVL and repeat usage stagnate.

Frequent mistakes seen in early and mid-stage protocols:

Reporting traffic growth as “user growth”
Celebrating wallet connects without first transactions
Treating one-time transactions as retention
Ignoring cohort decay over time

These mistakes persist because offchain metrics are easy to access and onchain metrics are harder to wire together. This is why teams feel productive while growth quietly stalls.

Final takeaway

DeFi growth measurement only works when offchain acquisition is tied to onchain behavior and retained value. If dashboards do not show how channels lead to first transactions, repeat usage, and retained TVL, teams will optimize for visibility instead of protocol growth.

FAQs About DeFi Marketing Analytics

Why does Google Analytics not tell me who actually uses my DeFi app?

Google Analytics cannot see onchain actions, which means it only shows page views and clicks, not swaps, deposits, or borrowing. This leads to growth reports that look healthy even when real usage is flat. As a result, teams optimize content and channels that drive traffic, not capital. Connecting web events to wallet activity fixes this blind spot.

How do I know which marketing channel actually brings real users, not just clicks?

You know this by linking acquisition sources to wallet connections and first onchain transactions. Without this mapping, channels that generate clicks look successful even if those users never transact. This leads to budget being allocated to surface metrics instead of real growth. Channel to transaction attribution reveals which sources drive protocol usage.

In DeFi, is a user one wallet or multiple wallets from the same person?

A user in DeFi is usually measured as a wallet, but the same person can control multiple wallets, which fragments identity. This leads to inflated user counts and misleading retention metrics. Some teams cluster wallets based on behavior patterns, but this introduces assumptions. Clear definitions prevent teams from misreading growth trends.

Why do our dashboards show growth but product usage feels flat?

Dashboards often show growth because they track visits, impressions, or wallet connects instead of repeated onchain actions. This leads to a gap between reported growth and what the team experiences in product usage. As a result, teams celebrate metrics that do not correlate with revenue or retained TVL. Aligning dashboards with transaction and retention data closes this gap.

What are the most common analytics mistakes DeFi teams make early on?

The most common mistake is tracking web traffic and campaigns without connecting them to onchain outcomes. This leads to teams scaling channels that do not drive deposits, swaps, or repeat usage. Another frequent issue is treating one-time transactions as success, which hides churn. Early analytics should focus on activation and retention, not reach alone.

DeFi User Acquisition Channels That Actually Work (And Which Don’t)

Yos Riady — Mon, 23 Mar 2026 01:12:19 +0000

DeFi user acquisition fails when teams confuse visibility with adoption. Most channels can generate traffic, impressions, or followers, but only a subset consistently leads to wallet connections, transactions, and retained TVL. The difference comes down to intent and readiness, because DeFi users must already hold assets, understand wallets, and accept protocol risk before capital moves.

In practice, acquisition breaks when any of these conditions are missing:

Users do not have funds ready in a wallet.
Users do not understand how to complete onchain actions.
Users do not trust the protocol enough to deploy capital.

When these constraints are ignored, growth dashboards show progress while protocol usage stays flat. Acquisition only works when it is evaluated inside a broader DeFi marketing growth strategy.

Why crypto-native intent matters more than reach

Crypto-native intent determines whether acquisition turns into onchain activity.
Users who already interact with DeFi protocols convert better because they are familiar with signing transactions, managing gas, and assessing smart contract risk. This is why large audiences without onchain experience rarely translate into TVL.

Users who have never bridged assets or used a DEX face friction at every step. As a result, channels that reach beginners often inflate traffic while dragging down activation rates.

Signals that a channel reaches crypto-native users:

Users arrive from content about specific DeFi actions.
Users already use wallets and multiple chains.
Users ask operational questions about fees, slippage, or risk.

When intent is high, onboarding friction drops. This leads to higher first-transaction rates and more meaningful growth signals.

Channel-by-channel breakdown

Channels perform differently because they surface protocols at different moments of user intent. The closer the channel is to a real problem and your target audience, the higher the chance that users will deploy capital.

SEO

SEO converts when it captures users trying to complete a specific onchain task. Search queries about bridging, comparing protocols, or managing yield signal readiness to transact, which leads to higher wallet connection and first transaction rates.

Query Type	User Intent	Likely Outcome
“How to bridge from Ethereum to Base”	High	Wallet connect and transaction
“Best DeFi lending rates today”	Medium to high	Protocol comparison and deposits
“What is DeFi”	Low	Learning, no immediate action

SEO compounds because these problems do not disappear when market narratives shift. As a result, SEO grows slower than launches or campaigns, but produces steadier onchain demand over time.

A growth marketer who has run SEO for SaaS often underestimates how specific DeFi queries need to be. Generic crypto content rarely converts, while narrow operational queries do.

KOLs

KOLs drive real usage only when their audience already participates onchain. Large crypto creators often bring attention without deposits, because their followers are passive market observers rather than active DeFi users.

Onchain credibility matters more than reach. Users trust KOLs who publish transaction screenshots, wallet flows, and protocol breakdowns, because those signals show lived experience.

KOL Type	Typical Result
Protocol researchers	Lower reach, higher deposits
Yield strategy creators	Fewer clicks, higher TVL
Broad crypto commentators	High reach, weak conversion

Teams that have run multiple influencer campaigns usually learn this the hard way. After two or three high-reach posts that bring no deposits, channel strategy shifts toward smaller but more technical voices.

Crypto media

Crypto media drives awareness but rarely drives immediate usage. Readers consume headlines and narratives, not operational guidance, which leads to weak wallet connect rates.

Media exposure still has value because repeated name recognition reduces trust friction later. As a result, media works better as a credibility layer than as a direct acquisition channel.

Crypto media performs best when paired with follow-up paths. Without a clear next action, attention dissipates before it becomes onchain behavior.

Community

Community converts better because users self-select into product contexts. Users who join Discord or Telegram are usually evaluating whether to use the protocol, not just learning that it exists.

Community also affects retention because users return when they can ask questions and see how others use the product. This leads to repeated interactions and fewer one-and-done transactions.

A community manager who has moderated DeFi Discord servers knows that onboarding questions repeat daily. When these questions go unanswered, users drop off before completing their first transaction.

Partnerships

Partnerships convert when the protocol appears inside an existing user workflow. Users are more likely to transact when discovery happens while they are already onchain.

Integrations outperform standalone campaigns because they remove extra steps. As a result, partnerships often produce fewer signups but higher-quality activation.

Partnerships fail when user bases do not overlap. In those cases, impressions rise, but wallet connections stay flat.

Paid distribution

Paid distribution scales what already works. If onboarding, activation, and retention are weak, paid traffic increases cost without increasing retained TVL.

Most paid channels optimize for clicks and signups by default. This leads to reports that look healthy while deposits and repeat usage lag behind.

Teams that rely too early on paid channels often learn that traffic is easy to buy. Onchain usage is not.

Channel performance by protocol stage

Channel fit changes as protocols mature. What works before launch does not work once the product is live and measuring real usage.

Protocol Stage	Channels That Tend to Work	Why
Pre-launch	Community, early partnerships	Build trust and context
Post-launch	SEO, protocol-native KOLs	Capture active demand
Scaling	SEO, selective paid channels	Amplify proven funnels

Scaling channels before activation works leads to misleading growth signals. This is why many teams feel traction early and stall later.

Channel-to-value mismatch

Channel-to-value mismatch happens when growth looks good on dashboards but protocol usage stays weak. This occurs because surface metrics do not capture whether users actually deploy or retain capital.

Surface Signal	What It Shows	What It Misses
High CTR	Interest	No deposit behavior
Low bounce rate	Content engagement	No repeat transactions
Follower growth	Brand visibility	No TVL contribution

When teams optimize for these signals, they end up scaling attention instead of adoption. This leads to repeated campaign cycles without sustained protocol growth.

How to evaluate channel quality using onchain outcomes

Channel quality should be judged by what users do after they arrive. This shifts decision-making from traffic volume to value creation.

Operational questions to evaluate channels:

Do users from this channel connect wallets more often?
Do they complete a first transaction within a short window?
Do they return and perform additional transactions?
Does capital from this channel stay deployed over time?

Channels that perform well on these dimensions deserve budget and attention. Channels that fail here should be deprioritized, even if they look good in top-line reports.

Final takeaway

DeFi acquisition works when channels reach users with intent to deploy capital, not just consume content, which is why reach-heavy channels often fail to move TVL. Channel performance changes by protocol stage because user readiness changes from discovery to activation. Paid and influencer distribution amplify existing conversion loops but do not fix weak onboarding. Measuring channels by onchain outcomes rather than clicks leads to more reliable growth decisions.

FAQs About DeFi User Acquisition Channels

Why do we get traffic from crypto media but almost no users who deposit?

Traffic from crypto media is often low-intent, which means readers consume news but do not plan to use a protocol. This leads to high page views with weak wallet connect and transaction rates. As a result, media coverage looks successful while TVL stays flat. Channels that reach problem-aware users convert more consistently.

Do KOLs actually bring real users or just hype?

KOLs bring real users only when their audience already uses DeFi and trusts the protocol category. Broad influencer reach leads to short-term attention but weak capital deployment. This is why campaigns spike awareness without sustained usage. Performance improves when KOLs are credible and have an audience who find real value in what you offer .

Is SEO worth it for DeFi or is crypto too fast-moving for that?

SEO works for DeFi because users search for how to bridge assets, choose protocols, and manage yield, which signals high intent. This leads to wallet connects and first transactions that compound over time. While news cycles move fast, problem-driven searches remain stable. As a result, SEO drives slower but more durable growth.

Why do paid ads look good in reports but TVL barely moves?

Paid ads often look good because they optimize for clicks and signups, not for deposits or repeat usage. This leads to campaigns that scale traffic without creating onchain value. As a result, spend increases while protocol usage does not. Evaluating paid channels by onchain outcomes changes budget decisions.

Which channels usually work best before launch versus after launch?

Before launch, community building and partnerships work best because they seed early users and integrations. After launch, SEO and targeted distribution perform better because users can act immediately on discovery. Scaling works only when activation and retention loops are in place. Channel fit changes because user intent changes by stage.

Data Activation Best Practices for DeFi Teams

Yos Riady — Mon, 23 Mar 2026 01:12:08 +0000

DeFi teams can boost onchain user retention through effective data activation strategies that combine onchain and offchain insights with real-time alerts and core event tracking like wallet connections and transactions. Success requires starting with a minimum viable event plan focused on critical metrics, then progressively layering in advanced analytics like lifecycle segmentation and predictive churn detection as teams scale their data capabilities.

Crypto teams often struggle with harnessing data effectively, leading to missed opportunities for user engagement and growth. This article reveals best practices for data activation that can transform how teams leverage both onchain and offchain data. By implementing these insights, teams can turn complex data into actionable intelligence and drive meaningful results.

Introduction to Data Activation

Data activation turns raw data into real business action by powering personalized experiences, targeted campaigns, and intelligent automation.The data activation lifecycle includes three key phases: collection, unification, and activation, each critical to long-term success.

Data activation is essential for DeFi teams aiming to leverage insights from both onchain and offchain data. This process enables teams to understand user behavior, optimize product performance, and enhance security. By integrating real-time alerts into communication platforms like Slack or email, teams can receive instant notifications about critical events, such as error surges or suspicious wallet activity. This proactive approach not only safeguards protocols but also identifies user growth trends as they emerge.

To effectively activate data, teams should begin with a clear focus on core events that matter most. Key metrics include wallet connections, significant onchain transactions like swaps and mints, and usage of critical features such as governance participation. Establishing a minimum viable event plan ensures that data integrity is maintained from the outset. As teams grow more comfortable with their data, they can layer in advanced analytics features, such as lifecycle segmentation and predictive churn detection, to further refine their understanding of user engagement. This iterative approach allows for continuous improvement and adaptation, ultimately leading to a more robust data activation strategy that drives informed decision-making and enhances user experiences.

Understanding Data Activation in Crypto

Data activation involves turning insights from both onchain and offchain data into actionable strategies for crypto teams. This process is crucial for understanding user behavior and optimizing product performance. Teams should prioritize core events that significantly impact user engagement, such as wallet connections, major onchain transactions like swaps and mints, and critical feature usage, including governance participation.

Establishing a minimum viable event plan helps ensure data integrity from the beginning. This plan acts as a foundation for activating data effectively. As teams gain confidence, they can expand their focus to include additional metrics and insights. Implementing real-time alerts through communication platforms such as Slack or email allows teams to respond promptly to critical events, whether they involve error surges or unusual wallet activities. This proactive approach not only enhances security but also helps identify emerging user growth trends. By integrating these practices, crypto teams can leverage their data more effectively, ultimately driving better decision-making and improved user experiences (Dune Analytics).

How Data Activation Works

Data activation involves several key steps that are crucial for crypto teams aiming to optimize their data usage.

Data Collection: Gathering data from various sources, including onchain and offchain, is essential for a comprehensive understanding of user behavior.
Data Integration and Unification: Bringing this data into a central platform creates a unified view, enabling better analysis.
Analysis and Segmentation: Analyzing the data helps uncover patterns and segment users based on their behaviors and preferences.
Action and Implementation: Finally, insights gained from the analysis can be used to execute personalized campaigns and services, driving engagement and growth.

Data Activation Use Cases

The following examples demonstrate how data activation delivers measurable results across teams by transforming unified customer data into targeted actions and automated workflows.

Marketing

Use case: Launch real-time, cross-channel campaigns triggered by user behaviors like cart abandonment, product browsing, or purchase signals.

Example: Sync high-value wallets and segments to Twitter or Reddit Ads for precision retargeting, achieving a 25% improvement in return on ad spend (ROAS).

Benefit: Maximizes marketing efficiency, enhances customer engagement, and boosts conversion rates.

Sales

Use case: Prioritize outreach efforts using real-time dapp usage data, lifecycle indicators, and engagement scores integrated with your CRM.

Example: Automatically route high-engagement free trial users to Attio, triggering targeted sales sequences that accelerate deal velocity by 30%.

Benefit: Enables sales teams to focus resources on qualified prospects, reducing sales cycles and improving win rates.

Customer Success

Use case: Monitor onchain TVL, product engagement, and churn risk indicators to enable proactive retention strategies.

Example: Achieve an 18% reduction in customer churn by syncing user inactivity signals to in-app messaging and automating re-engagement workflows.

Benefit: Enhances customer satisfaction, reduces attrition, and maximizes customer lifetime value.

Product and Engineering

Use case: Drive experimentation and feature development using behavioral segments and user cohorts modeled from unified offchain and onchain data.

Example: Boost conversion rates by 15% through personalized in-app experiences tailored to specific onchain user segments.

Benefit: Accelerates feature adoption and improves product-market fit through data-driven testing.

Data Science and Operations

Use case: Power machine learning models on crypto wallets with clean, identity-resolved customer profiles for advanced personalization and predictive analytics.

Example: Deliver real-time content recommendations by feeding unified user data into ML model APIs for instant personalization.

Benefit: Scales machine learning capabilities and enables precise, automated decision-making across the organization.

Best Practices for Data Activation

Data activation is a critical aspect for crypto teams looking to harness insights from their data effectively. By implementing best practices, teams can ensure that the data they collect translates into actionable insights that drive decision-making and enhance user engagement.

To begin, teams should define clear objectives by establishing success metrics before implementation. This clarity helps measure the impact of data initiatives. Engaging stakeholders early fosters collaboration across departments, ensuring alignment on goals and strategies.

Maintaining data hygiene is vital; regular cleaning and validation of data prevent inaccuracies that can lead to misguided strategies. Starting with a single use case allows teams to focus their efforts effectively and iterate based on real-world feedback, gradually expanding their data activation efforts.

Finally, investing in user training equips teams with the skills needed to leverage the platform fully, maximizing the benefits of data activation. By following these best practices, crypto teams can enhance their data-driven strategies, ultimately leading to improved user experiences and operational efficiencies.

Implementing these principles sets a robust foundation for leveraging insights from both onchain and offchain data, positioning teams to respond effectively to emerging trends and opportunities.

Leveraging Onchain and Offchain Data

Tracking onchain user behavior effectively requires a structured approach. Teams should focus on lifecycle milestones, such as wallet connections and first transactions, to understand user engagement. Integrating onchain signals with offchain data, like campaign metrics, enhances the clarity of user actions. Employing consistent naming conventions for events helps maintain data integrity, while prioritizing real-time tracking minimizes latency in insights. Regular audits of data pipelines ensure accuracy, enabling teams to identify retention drivers and optimize user journeys effectively.

Ensuring Privacy and Compliance

Privacy is a fundamental concern for crypto teams when activating data. Implementing privacy by design principles helps build trust and mitigate compliance risks. This involves anonymizing wallet event data to protect user identities and minimizing the storage of personally identifiable information (PII) offchain. Clear opt-in consent policies should be established for any cross-platform tracking, ensuring transparency with users. Additionally, secure storage practices must adhere to regulations like GDPR, balancing user profiling with privacy concerns. This approach not only safeguards user data but also enhances the overall integrity of analytics efforts.

Real-Time Data Utilisation

Real-time data utilisation is pivotal for DeFi teams aiming to enhance decision-making and user engagement. Key practices include:

Trading and Market Analysis: Monitoring large wallet movements and DeFi adoption enables teams to anticipate market trends.
Fraud Detection: Tracking transactions for abnormal patterns helps identify potential security threats.
Personalised User Experiences: Adjusting applications based on real-time usage data can significantly improve user satisfaction.
Market Manipulation Detection: Identifying potential market manipulation attempts protects users and maintains market integrity.

Common Mistakes in Data Activation

Common mistakes in data activation can significantly hinder the effectiveness of crypto teams. Understanding and addressing these pitfalls is crucial for leveraging data insights effectively.

Data Silos: Data often resides in isolated repositories, making it difficult for teams to access a comprehensive view of user behavior. This fragmentation can lead to missed opportunities for insights and decision-making.
Poor Data Quality: Inconsistent and untrustworthy data can compromise the integrity of analyses. Teams may rely on faulty information, leading to misguided strategies.
Lack of a Unified Governance Model: Without a clear framework for data management, organizations struggle with data compliance and security. A unified governance model ensures that data is managed consistently, promoting accountability and reliability.
Fragmented Customer Identities: Ineffective customer profiles arise when there is a lack of identity stitching across different data sources. This fragmentation can obscure user behavior, making it challenging to tailor experiences or marketing efforts effectively.

Addressing these mistakes is essential. A 2018 Forrester study found that only about half of B2B marketers felt their organization was effective at providing complete and trustworthy customer data (Forrester). This highlights the importance of improving data practices to enhance overall effectiveness in data activation. By focusing on these areas, crypto teams can unlock the full potential of their data.

Implementing Data Activation with Formo

Implementing data activation effectively begins with data collection.

It starts with identifying the most relevant events and metrics. Key actions include focusing on wallet connections, significant onchain transactions like swaps and mints, and critical feature usage

Common data sources include:

First-party user behavioral data. Clickstream or event data tracking customer interactions across platforms and devices.
Onchain data. Enrichment data that enhances your first-party data with additional insights

Establishing a minimum viable event plan is essential to maintain data integrity from the start. This framework allows teams to adapt and expand their data collection efforts as they grow more comfortable with the process.

Next is data unification. Complete customer profiles fuel effective data activation. After collecting and centralizing your data in a warehouse or lake, you need to unify these datasets to create a comprehensive customer 360 view that eliminates silos. This involves identity resolution: connecting all customer data points under a single identifier while building identity graphs and user attributes.

This unification process demands complex data modeling, identity management, and feature computation that traditionally requires maintaining unwieldy SQL code.

Real world examples:

Matching anonymous browsing activity with authenticated wallets profiles after wallet connect.
Merging profile attributes, onchain activity history, and in-app behavior into a unified customer 360 profile.
Calculating traits like "likely to churn" or "top 10% by volume" based on event patterns and onchain data.

For DeFi teams, the complexity of user journeys - spanning both onchain and offchain channels - makes effective data integration challenging. Many teams struggle with fragmented tools and custom setups. By utilizing a unified platform like Formo, teams can streamline the collection and analysis of onchain app data, transforming anonymous wallet addresses into actionable insights. This simplification allows teams to focus on meaningful metrics that drive growth and improve user experience (State of Crypto 2025 Industry Report).

Once you've collected and unified your data, put it to work. Complete profiles enable better targeting, personalization, and decision-making for otherwise pseudonymous crypto wallet addresses.

Data activation is not the end. Each activation (clicks, opens, conversions) creates new behavioral signals that flow back into your data systems. This continuous feedback loop enriches customer profiles, sharpens segmentation, and drives smarter, more personalized activation over time.

Future of Data Activation in DeFi

The future of data activation in crypto teams hinges on enhanced integration of onchain and offchain data, enabling deeper insights into user behavior and product performance. As teams increasingly rely on data to inform decisions, the focus must shift towards developing robust frameworks for data analysis. This includes establishing clear event tracking metrics, such as wallet connections and key transactions. By defining a minimum viable event plan, teams can ensure they capture essential data without overwhelming their systems.

Moreover, the landscape for crypto analytics is evolving rapidly. Teams are encouraged to adopt advanced analytics tools that facilitate real-time monitoring and reporting. These tools should integrate seamlessly with existing communication platforms, allowing for immediate alerts on critical events. Research indicates that effective data activation strategies can lead to a significant increase in user engagement, with teams identifying high-value users through targeted metrics and campaigns.

As the crypto ecosystem continues to mature, the emphasis on data-driven decision-making will only intensify. Teams must prioritize the development of data literacy across their organizations, ensuring that all members can leverage insights effectively. By embracing these practices, crypto teams can position themselves for long-term success in the evolving DeFi landscape.

Frequently Asked Questions

What are the key steps in data activation for DeFi teams?

Data activation involves data collection, data integration and unification, analysis and segmentation, and action and implementation. These steps help teams transform insights into actionable strategies for improved user engagement.

How can DeFi teams improve data hygiene?

Maintaining data hygiene involves regular cleaning and validation of data to prevent inaccuracies. This practice ensures that the data used for decision-making is reliable and trustworthy, ultimately enhancing the effectiveness of data activation efforts.

What role do real-time alerts play in data activation?

Real-time alerts help crypto teams respond quickly to critical events, such as error surges or suspicious wallet activity. This proactive approach enhances security and allows teams to identify emerging user growth trends more effectively.

Why is a minimum viable event plan important in data activation?

A minimum viable event plan establishes a foundation for data activation by ensuring data integrity from the start. It helps teams focus on capturing essential metrics while providing a framework for future expansion as they grow more comfortable with their data.

How can integrating onchain and offchain data enhance user insights?

Integrating onchain and offchain data allows teams to gain a comprehensive view of user behavior. This combination enhances analysis capabilities, enabling better segmentation and targeting, ultimately leading to improved user experiences and engagement.

Check out these related articles for more information:

minimum viable event plan - Provides detailed guidance on implementing event tracking strategies that directly support the article's recommendation to establish a minimum viable event plan.
wallet connections - Offers comprehensive coverage of wallet analytics that deepens understanding of the core event mentioned multiple times as a key metric to track.
lifecycle segmentation - Explains advanced analytics features like lifecycle analysis that the article mentions teams should layer in as they mature their data activation strategy.
privacy by design - Directly addresses the privacy and compliance concerns raised in the article's section on ensuring privacy while activating data.
understand user behavior - Provides foundational knowledge on onchain user behavior analytics that supports the article's core theme of turning data into actionable insights.

Complete Guide to Customer 360 for Crypto Apps

Yos Riady — Mon, 23 Mar 2026 01:11:57 +0000

Customer 360 for crypto apps integrates onchain and offchain data to create comprehensive user profiles, enhancing engagement and retention. Companies using this approach report up to a 25% increase in user retention. Key strategies include wallet profiling, real-time transaction analysis, and advanced user segmentation. By prioritising user privacy and data integration, crypto applications can drive growth and improve user experiences in an increasingly competitive landscape.

Navigating the complexities of user data in crypto apps can be overwhelming, particularly when trying to piece together fragmented onchain and offchain insights. This guide will provide a comprehensive overview of Customer 360, illustrating how it can transform user profiles into actionable growth strategies. Notably, companies leveraging Customer 360 are seeing up to a 25% increase in user retention by better understanding their customers.

Introduction to Customer 360 for Crypto Apps

Creating a Customer 360 view for crypto applications involves integrating both onchain and offchain data to construct comprehensive user profiles. This approach utilizes public blockchains and wallet addresses as pseudonymous identifiers, moving away from traditional methods like cookies or login accounts. In this landscape, users maintain ownership of their onchain data, allowing them to control access on their terms - unlike the Web2 paradigm where companies typically dominate data control.

Privacy is enhanced in Web3 environments, minimizing invasive tracking practices prevalent in conventional analytics. This stronger baseline for user privacy enables applications to respect user autonomy while still offering valuable insights. Analytics can seamlessly connect marketing touchpoints with in-app actions and final onchain results, such as swaps or staking events.

The insights gained from this data can facilitate advanced user segmentation, enabling tailored marketing campaigns and personalized in-app experiences. By leveraging wallet intelligence, crypto applications can refine their strategies to enhance user engagement and retention, ultimately leading to improved performance and growth.

With these strategies, crypto apps can significantly elevate their understanding of user behavior, leading to more effective product development and marketing strategies.

Building a Customer 360 view unifies offchain and onchain data, creating rich, actionable wallet profiles. This allows for advanced user segmentation. (Formo)

Understanding Customer 360 in the Crypto and DeFi Context

Creating a Customer 360 view in crypto and DeFi contexts requires a comprehensive integration of data sources to form a holistic user profile. This includes:

On-chain Events: Tracking smart contract interactions, token transfers, and transaction volumes directly from public blockchain data.
Off-chain Events: Capturing website visits, button clicks, and form submissions through SDK or API integrations.
Wallet Profiling: Using each blockchain wallet as a unique user identifier to analyze on-chain transactions and uncover user behaviors, preferences, and engagement patterns.
Wallet Clustering: Grouping multiple wallet addresses that belong to a single user to create a clearer, unified view of their behavior.

These methods not only enhance user insights but also promote privacy and data ownership, aligning with the principles of Web3.

How Customer 360 Works for Crypto Applications

Creating a Customer 360 view for crypto applications is essential for understanding user behavior and enhancing engagement. This comprehensive approach integrates both onchain and offchain data, allowing for detailed user profiles based on pseudonymous identifiers like wallet addresses. Unlike traditional methods that rely on cookies or login accounts, this system respects user privacy while still delivering actionable insights.

To implement a robust Customer 360 strategy, several key metrics must be identified. These include daily active wallets (DAW), transaction volume, protocol fees, retention, and conversion rates. Selecting compatible platforms that align with specific blockchain ecosystems and privacy needs is crucial. Additionally, integrating software development kits (SDKs) and application programming interfaces (APIs) helps connect onchain and offchain data sources, ensuring accurate attribution.

Behavioral analysis plays a vital role in this process, enabling the creation of user cohorts and segmentation aligned with individual journeys. This facilitates a deeper understanding of engagement and retention metrics. Finally, establishing reporting and optimization mechanisms is necessary for tracking key performance indicators (KPIs) and facilitating regular review cycles. Dashboards and alerts for metric changes can significantly enhance decision-making processes, ensuring that applications continuously adapt to user needs.

Integrating Onchain and Offchain Data

Integrating onchain and offchain data enables a more nuanced understanding of user behavior in crypto applications. Key metrics to analyze include:

Tracking Whale Movements: Monitoring the activity of large wallets to identify potential market shifts.
DeFi Protocol Auditing: Analyzing liquidity pools, smart contract usage, and Total Value Locked (TVL) to assess performance.
NFT Behavior Analysis: Discovering how NFT collections are traded, held, or transferred over time.
DAO Governance Analysis: Tracking voter participation, token-weighted influence, and proposal outcomes.
Network Health Metrics: Studying gas fees, transaction throughput, and congestion patterns.

These insights empower teams to make informed decisions and enhance user engagement.

Real-Time Cross-Chain Transaction Analysis

Real-time cross-chain transaction analysis enables applications to generate comprehensive user insights by integrating data across multiple blockchain networks. This approach facilitates the creation of unified behavioral profiles, merging user activity from platforms like Ethereum, Polygon, and Arbitrum into a single view. It also prevents metric inflation through wallet clustering, ensuring accurate user counts by identifying linked addresses. A complete journey view captures all interactions, such as minting NFTs or providing liquidity, while cross-chain tracing visualizes fund flows across different blockchains, enhancing understanding of user behaviors and activities.

Best Practices for Implementing Customer 360

Implementing a Customer 360 view in crypto applications requires adherence to best practices that ensure data integrity and user privacy. Key strategies include:

Validate Data Sources: Implement rigorous checks for consistency, completeness, and accuracy for both onchain and offchain data.
Use Wallet-Level Analytics: Focus on pseudonymous wallet data instead of personal identifiers to maintain user privacy.
Anonymize Sensitive Information: Hash or otherwise anonymize wallet addresses before sending them to traditional analytics services to prevent deanonymization.
Stay Informed About Regulations: Monitor the evolving regulatory landscape surrounding Web3 data to ensure all data handling practices remain compliant.

These practices not only enhance the quality of insights derived from user data but also build trust with users by prioritizing their privacy and security.

Common Mistakes in Customer 360 Implementation

Implementing a Customer 360 view in crypto applications can be challenging due to several common mistakes that teams often encounter.

Identity Fragmentation: Users frequently engage through multiple wallets for different purposes. This behavior complicates the attribution of actions to a single user, necessitating advanced clustering techniques to create accurate profiles.
Data Complexity: The vast and intricate nature of raw blockchain data requires specialized tools for effective parsing and analysis. Without these tools, valuable insights may remain hidden.
Ignoring Off-Chain Context: Solely relying on onchain data can lead to missed opportunities. Context from off-chain sources - such as news, social media sentiment, and market events - provides a more holistic view of user behavior.
Privacy Risks: Transmitting raw, unhashed wallet addresses to traditional analytics tools can pose significant privacy risks. These addresses may eventually be linked to real-world identities, undermining user trust.

Addressing these pitfalls is essential for creating a robust Customer 360 framework. Teams should focus on integrating both onchain and offchain data, utilizing advanced analytics tools, and prioritizing user privacy. As noted in industry discussions, many organizations have faced limited success when neglecting these aspects, emphasizing the need for a thoughtful implementation strategy.

Leveraging Customer 360 for Growth and Retention

Creating a Customer 360 view for crypto applications allows organizations to leverage comprehensive user profiles by integrating onchain and offchain data. This approach enables effective user segmentation, which is crucial for targeted marketing and engagement strategies.

Key segments include:

Asset Holding Patterns: Users are grouped based on their portfolio composition and token holdings.
DAO & Governance Participation: Identification of users based on their involvement in decentralized autonomous organizations and voting activities.
DeFi Protocol Usage: Grouping users by their yield-farming strategies and interactions with specific DeFi protocols.
NFT Collection Preferences: Segmentation based on NFT trading habits and preferred collections.
Cross-Chain Behavior: Identification of users who frequently use bridges and operate across multiple blockchain networks.

These segments can lead to more informed decisions regarding user engagement and retention strategies. Insights gained from these profiles can facilitate tailored marketing efforts, ultimately driving growth in the competitive crypto landscape.

Conclusion: The Future of Customer 360 in Crypto Apps

The future of Customer 360 in crypto apps promises to enhance user engagement and drive business growth through deeper insights into user behavior. As the crypto landscape evolves, the integration of onchain and offchain data will become increasingly sophisticated, allowing for more nuanced customer profiles. This shift will empower crypto applications to deliver personalized experiences while maintaining user privacy, a significant advantage over traditional data practices.

Recent data indicates that crypto transaction and transfer volumes have surged, growing 4.6 times over the past two years. Stablecoins alone processed $9 trillion in transactions, reflecting an 87% year-on-year increase (Elliptic). This growth underscores the increasing importance of understanding customer needs and preferences in a competitive market.

To leverage this trend, crypto apps must prioritize seamless data integration and analytics capabilities. Emphasizing user autonomy in data control will not only build trust but also enhance the overall user experience. By focusing on actionable insights derived from comprehensive customer profiles, crypto applications can optimize user acquisition strategies and improve retention rates. As the industry matures, the ability to create a holistic view of the customer will be a key differentiator for successful crypto applications.

Frequently Asked Questions

What is the significance of a Customer 360 view in crypto applications?

A Customer 360 view is essential as it integrates both onchain and offchain data, enabling a comprehensive understanding of user behavior and preferences, which leads to more effective engagement strategies.

How can wallet clustering improve user insights?

Wallet clustering enhances user insights by grouping multiple wallet addresses belonging to a single user. This approach creates a unified profile, improving the accuracy of user behavior analysis and engagement strategies.

What metrics are crucial for tracking the effectiveness of Customer 360 implementation?

Key metrics include daily active wallets (DAW), transaction volume, protocol fees, retention rates, and conversion rates. These metrics help gauge engagement and guide optimization efforts.

How does integrating offchain data contribute to Customer 360?

Integrating offchain data, such as website interactions and social media sentiment, provides a more complete view of user behavior. This context enriches profiles and allows for more targeted marketing strategies.

What common pitfalls should be avoided when implementing Customer 360?

Common pitfalls include identity fragmentation, over-reliance on onchain data, data complexity, and privacy risks. Addressing these issues is crucial for creating accurate and trustworthy customer profiles.

Check out these related articles for more information:

360° wallet profiles - Directly expands on the core topic of building comprehensive wallet profiles by combining onchain and offchain data for DeFi applications.
Wallet analytics - Provides deeper coverage of wallet-level analysis, behavior tracking, and growth strategies that are foundational to Customer 360 implementation.
advanced user segmentation - Explains the segmentation techniques and behavioral grouping methods mentioned as key outcomes of Customer 360 views.
customer journey analytics - Connects to the article's discussion of tracking user journeys and mapping touchpoints across onchain and offchain interactions.
wallet intelligence - Elaborates on the wallet intelligence concept mentioned in the article as a tool for refining strategies and enhancing engagement.

Ethereum Fusaka Upgrade: What You Need to Know

Yos Riady — Mon, 23 Mar 2026 01:11:46 +0000

The Ethereum roadmap continues to unfold with the Fusaka upgrade, set to follow the Pectra hard fork. Planned for the fourth quarter of 2025, Fusaka is an important step forward, designed to improve the experience for both Ethereum users and developers. It's an infrastructure-focused update, introducing new features aimed at enhancing scalability and network efficiency.

This post breaks down the key components of the Fusaka upgrade. You will learn about the major changes, including Peer Data Availability Sampling (PeerDAS), new safety limits, and tools for developers. By the end, you'll have a clear understanding of what Fusaka is, how it works, and why it matters for the future of Ethereum and its Layer-2 ecosystem.

Key Features and Enhancements

Fusaka is a collection of about a dozen Ethereum Improvement Proposals (EIPs) that make the protocol faster, leaner, and cheaper to use. These changes primarily benefit Layer-2 networks like Arbitrum, Optimism, and Base, which now handle most of Ethereum's activity.

Peer Data Availability Sampling (PeerDAS)

PeerDAS is the headline feature of the Fusaka upgrade. Currently, Layer-2s post their transaction data to Ethereum in packages called "blobs." Every full node must download all of this data to verify it. As L2s grow, this creates a data bottleneck.

PeerDAS changes this by allowing nodes to check small, random samples of the data instead of downloading everything. This approach dramatically reduces the data that nodes need to check, which could enable up to an eight-fold increase in data space over time. More data space leads to lower competition, which in turn reduces transaction fees on Layer-2s.

Blob-Parameter-Only (BPO) Forks

As Layer-2 networks expand, they require more data space on Ethereum. To meet this demand without waiting for major hard forks, Fusaka introduces Blob-Parameter-Only (BPO) forks. These are small, focused updates that allow the network to incrementally raise blob targets between larger upgrades. This flexibility helps Ethereum adapt more quickly to the growing needs of L2s.

Safety and Performance Hardening

To handle increased activity safely, Fusaka adds several new network regulators:

Caps on per-transaction gas to prevent a single transaction from consuming an entire block.
Tighter MODEXP limits and revised pricing for certain heavy computational operations to prevent abuse.
A 10 MiB RLP block size cap to prevent spam and keep nodes running smoothly.
History expiry support to help nodes stay lean by allowing them to ignore very old historical data. Execution clients began supporting partial history expiry in July 2025.

New Developer Features

Fusaka also brings powerful new tools for developers:

Secp256r1 precompile enables wallets to use your phone's built-in security features, like Face ID or fingerprint sensors (passkeys), to approve transactions.
The CLZ opcode adds an instruction for counting leading zeros, making complex on-chain math cheaper and more efficient for advanced applications.

Key EIPs in the Fusaka Upgrade

The Fusaka upgrade is composed of several key EIPs that deliver these improvements. Here are some of the most important ones included in the fork:

EIP-7594 (PeerDAS): Enables nodes to verify L2 data by sampling instead of downloading everything.
EIP-7892 (Blob Parameter Only Hardforks): Creates a mechanism to increase L2 data space between major upgrades.
EIP-7951 (Precompile for secp256r1 Curve Support): Allows wallets to use device-native security like Face ID.
EIP-7939 (Count Leading Zeros Opcode): Adds a tool for more efficient on-chain math.
EIP-7825 (Transaction Gas Limit Cap): Prevents any single transaction from monopolizing a block.
EIP-7934 (RLP Execution Block Size Limit): Sets a hard limit on the physical size of a block to prevent spam.
EIP-7823 & EIP-7883 (MODEXP Bounds and Gas Cost Increase): Adjusts the cost of a specific function to reflect its computational weight and prevent abuse.
EIP-7917 (Deterministic Proposer Lookahead): Makes the network more predictable, enabling near-instant L2 confirmations.
EIP-7918 (Blob Base Fee Bounded by Execution Cost): Adjusts the blob fee market to maintain price stability during high L1 congestion.
EIP-7642 (History Expiry and Simpler Receipts): Allows nodes to prune very old history, simplifying the sync process.
EIP-7935 (Set Default Gas Limit to 60M): Increases the computational capacity of each block on the main network.
EIP-7910 (eth_config RPC Method): Adds a tool for node operators to verify their upgrade configuration.

Fusaka Upgrade Timeline

Fusaka will be deployed in phases, beginning with testnet activations before the mainnet launch:

Holesky testnet: Activation planned for October 1, 2025
Sepolia testnet: Activation planned for October 14, 2025
Hoodi testnet: Activation planned for October 28, 2025
Mainnet target date: December 3, 2025 (dates subject to change based on testnet results)

How Fusaka Impacts You

The Fusaka upgrade is a technical hard fork focused on improving Ethereum's core infrastructure. Here’s what it means for different groups in the ecosystem:

For Users: You don't need to take any action. You will experience the benefits indirectly through faster and cheaper transactions on Layer-2 networks. New apps will also be able to use your phone's biometrics for a simpler and safer user experience.
For Developers & L2 Teams: Fusaka offers cheaper data and new tools, like passkey support and the CLZ opcode. These changes reduce gas costs and simplify development for applications using advanced logic.
For Node Operators: The only action required is to update your client software to a Fusaka-compatible version before the mainnet activation date of December 3, 2025.

The Fusaka upgrade helps Ethereum handle more transactions and operate more efficiently. It increases the gas limit and adds smart data verification with PeerDAS and Verkle Trees. This change supports future growth while keeping Ethereum secure.

As with any upgrade, be aware of scams. No one will ever ask you to "upgrade" your ETH. Your assets are safe, and no action is needed on your part to protect them.

What’s Next for Ethereum

Following Fusaka, the Ethereum roadmap continues with the "Glamsterdam" upgrade, planned for 2026. This next upgrade will further Ethereum's scalability, security, and sustainability. Specific EIPs and technical details have not yet been announced.

Frequently Asked Questions (FAQs)

What is Fusaka, and why is it important?

Fusaka is a major upgrade in the Ethereum roadmap designed to enhance security, scalability, and overall network efficiency. It represents a critical step toward ensuring Ethereum remains a leader in decentralized technology while preparing for future innovations.

Do I need to take any actions to prepare for the Fusaka upgrade?

No action is required on your part. Your ETH and other assets remain safe throughout the process. Be cautious of scams. No one will ask you to upgrade your ETH or move it elsewhere for the upgrade.

How does Fusaka improve Ethereum’s scalability?

Fusaka introduces optimizations that reduce network congestion and improve transaction speeds. This enables Ethereum to handle more transactions per second, setting the foundation for a more scalable ecosystem.

What comes after Fusaka?

The next planned upgrade is Glamsterdam, scheduled for 2026. While specific details of Glamsterdam are still under discussion, it aims to further improve Ethereum's scalability, security, and environmental sustainability.

Will my existing Ethereum applications or smart contracts be affected by Fusaka?

No, your existing Ethereum applications or smart contracts will continue to operate as usual. The upgrade ensures backward compatibility while offering enhanced functionality and performance benefits for developers and users alike.

How to Define Your Ideal Customer Profile (ICP) in DeFi

Yos Riady — Mon, 23 Mar 2026 01:11:36 +0000

What is an Ideal Customer Profile (ICP)? It’s a clear description of a company that gets the most value from your product. For DeFi and Web3 companies, a well-defined ICP is critical. It helps focus product development and marketing in a noisy, fast-moving market.

Without a sharp ICP, teams risk building for everyone and satisfying no one. This leads to wasted resources, low conversion rates, and a confusing product roadmap. A strong ICP lets you target the right users, build a repeatable sales motion, and achieve sustainable growth.

This post provides a framework for Web3 teams to define and refine their ICP. By following these steps, you can ensure you’re building for the right audience and setting your project up for long-term success.

Why an ICP Matters for Web3

The Web3 market is both niche and complex. A clear ICP helps you connect with users who already understand and need your solution. In this space, focusing on the right audience isn’t just a good idea - it’s essential for survival and growth.

An ICP helps you concentrate on early adopters and innovators who are more open to trying new technology. These are the users who will provide valuable feedback and champion your product. It also allows you to target blockchain-ready sectors like finance and supply chain, where your solution can achieve a better product-market fit from the start.

Different company sizes also have different needs. A startup's requirements are not the same as an enterprise's. An ICP helps you tailor your solution, whether you're building for a small, agile team or a large organization.

Characteristics of an Ideal DeFi Customer

When defining your DeFi ICP, you need to break down the key attributes of your target customer. This goes beyond simple demographics.

1. Experience Level
Are they crypto-natives or newcomers exploring DeFi for the first time?

Crypto-natives value advanced tools, customizability, and transparency.
Newcomers prioritize simplicity, safety, and clear guidance. Your onboarding, UI, and education strategy should reflect where your users are on this spectrum.

2. Risk Appetite & Financial Goals
What are they trying to achieve - passive income, portfolio diversification, or active trading?
Understanding their financial motivation helps tailor your messaging and product positioning around outcomes (e.g., “earn steady yield” vs. “maximize returns”).

3. Technical Level
Do they know how to manage wallets, bridges, and gas fees, or do they prefer one-click solutions?
This determines how much abstraction, automation, or guidance your product should provide.

4. Behavior & Usage Patterns
How often do they interact with DeFi protocols? Are they daily users tracking on-chain activity, or occasional participants following social trends? This shapes your retention tactics - from real-time analytics and alerts to gamified engagement or community-driven rewards.

5. Trust & Security
How much do they value decentralization versus convenience?
Some users prioritize custody and privacy, while others just want peace of mind. Communicating your approach to safety, audits, and transparency builds lasting trust.

6. Device & Platform Preferences
Are they primarily mobile users engaging via wallets like MetaMask or Rainbow, or desktop power users managing multiple positions?
Designing for their preferred platform ensures smoother adoption and higher retention.

A Checklist for Creating Your ICP

Use this simple checklist to build your ICP. Ask these questions across your organization - from product to marketing to customer success - to get a unified view.

List Customer Pain Points: What specific challenges does your product solve for them?
Determine Key Benefits: What are the main benefits your product provides? (e.g., access to yields, better security, lower transaction costs).
Identify Core Features: What are the key features of your Web3 service? (e.g., smart contract execution, DeFi integration).
Plan GTM:How will you reach and engage your ICP? Decide on the channels and product messaging you will use.
Set Up Analytics:You can't improve what you don't measure. DeFi analytics tools like Formo can help you measure your key metrics with minimal setup.

Examples of ICPs in DeFi

To make this more concrete, here are a few examples of well-defined ICPs in the DeFi space:

Institutions: Mid-sized FinTech startups (50-200 employees) located in crypto-friendly regions. They are looking to offer innovative investment products to their customers and need a reliable, secure DeFi platform to build on.
Traders: Active, crypto-native individuals or small funds with deep technical knowledge. They are seeking to leverage decentralized protocols for advanced, high-frequency trading strategies and require platforms with low latency and high liquidity.
Retail Users: Tech-savvy individuals who are new to DeFi. They want simple, secure ways to earn yield on their crypto assets without needing to understand the complex mechanics of smart contracts.

Build for the Right Audience

Defining your ICP is about finding the balance between building for the future of Web3 and meeting the real needs of today's market. It requires a deep focus on technological alignment and an even deeper understanding of your customer's problems.

A clear ICP isn't just a marketing exercise; it's the foundation for sustainable growth. It guides your product roadmap, sharpens your messaging, and ensures that you are building a solution that people actually want and need. In the competitive Web3 landscape, knowing your customer is your greatest advantage.

FAQs

What is an ICP in Web3?
In Web3, an Ideal Customer Profile (ICP) is a detailed description of the user or company that gains the most value from your onchain app or protocol.

How is a Web3 ICP different from a traditional one?
A Web3 ICP includes onchain-specific attributes that aren't relevant in Web2. These include a customer's experience level with crypto, their technical understanding of concepts like smart contracts, and the specific blockchains or dApps they use.

Why is defining an ICP important for DeFi projects?
The DeFi market is highly specialized. A clear ICP helps projects focus their limited resources on acquiring users who are most likely to adopt and benefit from their product. It prevents teams from building features that nobody needs and helps create a strong product-market fit.

What are the first steps to creating an ICP for my Web3 startup?
Start by analyzing your current best users: Who are they and what do they have in common? Talk to them to understand why they chose your product. Then, use the checklist in this article to identify their core needs, pain points, and technical readiness.

How often should I update my Web3 ICP?
You should revisit and refine your ICP regularly, especially as your product evolves or as the market shifts. As you add new features, you may be able to serve a new type of customer. An ICP is a living document that should grow with your company.

A Founder's Guide to Crypto Marketing Strategy

Yos Riady — Mon, 23 Mar 2026 01:11:25 +0000

Marketing in Web3 feels different because it is different. The playbooks from Web2, focused on clicks and conversions, don't always translate to a world built on community ownership and onchain activity. For founders and onchain builders, this presents a unique opportunity. A smart Web3 marketing strategy can build a strong, loyal community and drive sustainable growth in ways that traditional marketing cannot.

This guide is for you, the onchain builder. Learn to build a crypto-native marketing strategy with our guide for founders in DeFi and crypto. Discover crypto marketing tools, tactics, and metrics to grow your onchain apps and protocols.

This complete guide covers everything from setting the right goals and choosing effective tactics to using the best crypto marketing tools. You will learn how to assess your project's marketing maturity, set meaningful goals, acquire users, and measure what truly matters onchain.

Why Marketing Matters in Crypto

Before diving into tactics, it's important to understand where your project stands. "Marketing maturity" refers to the sophistication of your marketing practices, especially your approach to data. As a startup grows, its ability to use data effectively evolves.

Early Stage: Data collection is often unstructured. Efforts are inefficient because it's hard to know what's working. The primary focus is on organic community building.
Growth Stage: Data becomes more structured. You start getting clearer insights into your customer acquisition cost (CAC) and can attribute growth to specific channels.

Set Clear Goals for Your Web3 Marketing

A successful Web3 marketing strategy begins with clear, measurable go-to-market (GTM) goals.

While Web2 marketing focuses on user sign-ups and sales, Web3 goals are ultimately centered around community and onchain engagement. Think community growth on Discord and Telegram, and onchain activity in the form of TVL, volume, and revenue.

Common top-of-funnel goals for an early-stage Web3 project include:

Finding early backers and building a community before the product is even live.
Acquiring users to interact with a testnet and provide valuable feedback.
Growing a community to create network effects before focusing on revenue.
Later on: Monetizing a large and engaged user base with minimal churn.

Early-Stage Tactics for Customer Acquisition & Engagement

In Web3 marketing, acquiring users and engaging them are deeply connected. Before you spend a dollar on paid ads, you need to define your target audience. "Crypto people" is not a target audience. Get specific. Once you know who you're talking to, you can choose the right tactics.

Low-Cost Marketing Tactics

These tactics revolve around providing real value - whether through education or entertainment - so your content spreads organically.

Content Marketing

Blog Posts: Don't just post project updates. Write articles that answer the specific questions your target audience is searching for. This builds authority and brings in organic traffic.
Long-Form Social Posts: Use platforms like X (formerly Twitter) and Farcaster to share educational content. Break down complex topics into digestible threads to build brand equity and a loyal following.

Community Building

This is the heart of Web3 marketing. Building a community isn't about spamming your project link in other servers. It’s about active, thoughtful participation. Add value to relevant communities, like specific subreddits or developer forums, by answering questions and sharing insights. Your goal is to build relationships, not just to shill.

SEO (Search Engine Optimization)

Start early. SEO is a long game, but the payoff is huge. You can publish on high-authority third-party platforms like Mirror or Paragraph to gain initial traction. Just remember to set the canonical link back to your own website to build your own domain authority over time.

Paid Marketing Tactics

Influencer Marketing

This is a popular tactic in crypto. However, instead of one-off campaigns with mega-influencers, focus on building long-term relationships with micro-influencers whose audience genuinely aligns with your project. This approach leads to more sustainable growth.

Engagement Incentives

Airdrops for whitelist sign-ups or rewards for early liquidity providers can be effective. But be careful. Easily gamed incentives, like "like and retweet" tasks, often lead to low-quality engagement from users who are only there for the reward.

Essential Crypto Marketing Tools

You don't need an expensive suite of tools to get started. Here's a starter stack of effective and affordable crypto marketing tools to build from.

Onchain Analytics: Formo, Dune (to understand onchain activity).
Product Analytics: Formo, Mixpanel (to understand user behavior).
Web Analytics: Formo, Plausible, or Fathom (privacy-first alternatives to Google Analytics).
Community Management: Discord, Telegram, Commsor.
Social Media Management: Buffer, Sprout Social.
Content & SEO: Ahrefs, Semrush (for keyword research).

Measuring Success: Web3 Marketing Metrics That Matter

You can't improve what you don't measure. For an early-stage Web3 marketing strategy, focus on these key metrics.

Traffic Sources: Watch how your traffic sources shift over time. As your community grows, you should see a move from paid and social sources to more direct and organic traffic.
Percentage of Organically Acquired Users: This is a powerful indicator of product-market fit. A high percentage of organic users shows that people are finding you because they're genuinely interested in what you're building.
Cost of Acquired Customer (CAC): How much does it cost to acquire a new user or active community member? To calculate this, divide your marketing spend by the number of new users acquired. Remember to include the cost of airdrops and other incentives in your calculations.

Attribution - linking onchain activity to offchain marketing efforts - is a known challenge in Web3. Overcoming this hurdle is a key step toward reaching marketing maturity.

Frequently Asked Questions

What is the difference between Web2 and Web3 marketing?

Web2 marketing is often transactional, focusing on leads and sales. Web3 marketing is community-centric, aiming to build network effects, drive token adoption, and encourage onchain participation.

How do I build a community for my Web3 project?

Start by providing value. Participate in existing, relevant communities without self-promoting. Create educational content and foster discussions on platforms like Discord and Telegram.

Are airdrops an effective marketing tactic?

They can be, if designed well. Airdrops that reward genuine early adopters are effective. Those that incentivize simple, low-effort tasks often attract users who will leave as soon as they get the reward.

What are the most important metrics to track for a crypto project?

Early on pre-product, focus on community growth, onchain user activity, traffic sources, percentage of organic users, and your Cost of Acquired Customer (CAC). Post-launch, measure conversion rates, revenue, and retention.

How much should an early-stage startup budget for marketing?

There's no single answer. Start with low-cost, organic tactics. As you secure funding, allocate a budget for paid experiments, but focus on channels with the lowest CAC.

What are some common mistakes to avoid in crypto marketing?

Avoid targeting everyone, relying on easily gamed incentives, neglecting SEO, and failing to measure your results.

How can I find the right influencers for my project?

Look for micro-influencers who have a genuine, engaged audience that aligns with your target user. Prioritize long-term partnerships over one-off sponsored posts.

Why is SEO important for a Web3 marketing strategy?

SEO drives high-intent, organic traffic. It helps people who are actively searching for solutions like yours to find you. It's a long-term investment that builds a sustainable acquisition channel.

Summary

A winning Web3 marketing strategy is built on a foundation of clear goals, sound tactics, and consistent measurement. While the tools and platforms may be new, the core principles are timeless: provide value and understand your customer. Start implementing these strategies today to build a project that not only launches but thrives.