DEV Community: Yos Riady

Introducing AI SQL Helpers, OAuth MCP, Performance Improvements, and More

Yos Riady — Mon, 08 Jun 2026 07:03:29 +0000

gm, builders! 👋

Here's your roundup of May 2026's onchain news and growth insights.

Highlights

First-Seen Behavior Filters, Transaction Frequency, and SDK Updates
Filter by Page, Angular SDK Support, and New Wallet Examples
OAuth on Formo MCP, Funnel Segments, and Flow Event Exclusions
AI SQL Helpers, Funnel Compare Mode, and Area Charts
DeFi Testnet to Mainnet Launch Checklist: 4 Readiness Checks Before You Go Live (2026)
AI-Powered DeFi Analytics: A 6-Step Framework for Onchain Growth Teams to Turn Data Into Decisions
DEX vs Lending vs Vaults: How Analytics Requirements Differ by DeFi Protocol Type
How to Measure DeFi Protocol Integration Impact: Integration Types, Retention Benchmarks, and ROI Scorecard (2026)
Web3 Monthly Recap

Introducing First-Seen Behavior Filters, Transaction Frequency, and SDK Updates

Formo now makes it faster to write queries, explore funnels, and visualize data across your DeFi analytics dashboard.

These updates make it easier to go from question to insight without leaving the dashboard, compare conversion across time periods, and extend Formo's data into your own internal tooling.

AI SQL Helpers: Three new AI helpers now sit next to the SQL editor: Explain this Query describes what a SQL query does in plain English, Generate SQL turns a prompt into a query, and Format SQL cleans up an existing query in place.
Ask AI Follow-up Questions: Every Ask AI response now ends with suggested follow-up questions you can click to keep digging. Suggestions are generated from the current conversation, saved charts, events, and segments, so they stay relevant to the data you're actually looking at.
Funnels Compare Mode: The funnel chart now has a Compare mode toggle in its date controls, mirroring the one on the overview page, so you can put two date ranges side by side. Each step now also shows the median time to convert from the previous step, so you can see where users stall, not just where they drop.
Area Charts: You can now create Area Charts with stacking support out of the box, available alongside Line, Bar, Number, and other existing chart types.
Global Search: Hit Cmd+K (or Ctrl+K) anywhere in the app to open a command palette. Jump to key pages, custom boards, segments, past chats, and settings. If your query doesn't match a known action, send it straight to Ask AI.
Profile Side Panel: On the Users page, clicking a user now opens their profile in a side panel instead of a new tab, keeping your filtered list visible while you explore individual wallets.
Query API: The full Query API is now live with 18 public endpoints that expose the same data powering every chart on the Formo dashboard. Use it to build internal tooling and custom dashboards with Formo data.

Learn more

Introducing Filter by Page, Angular SDK Support, and New Wallet Examples

Formo now helps DeFi teams analyze specific pages, reach non-React frameworks, and integrate with more wallet platforms.

These updates make it easier to measure the performance of individual campaign or vault pages, support a broader range of frontend stacks, and connect Formo to embedded and smart wallet providers.

Filter by Page: The Overview and Activity pages now support filtering by specific page, such as a vault or campaign page. Click any row in the Top Pages chart to apply the page filter inline, the same way segments work elsewhere in the dashboard.
Angular SDK Support: The Web SDK now supports Angular and other non-React frameworks (Vue, Svelte, vanilla JS) without requiring React types. React and Next.js apps continue to work as before. See the Angular example and docs for details.
Crossmint and OpenFort Examples: The examples repo now includes end-to-end integrations for Crossmint embedded wallets and OpenFort smart wallets, both platforms focused on stablecoin rails and agentic payments.

Learn more

Introducing OAuth on Formo MCP, Funnel Segments, and Flow Event Exclusions

Formo now connects to your existing AI tools, enables cohort-level funnel analysis, and makes flow charts cleaner and more actionable.

These updates make it easier to bring Formo data into the tools you already use, compare conversion rates across user segments, and filter out noise from user path analysis.

OAuth on Formo MCP: The Formo MCP server now supports OAuth, so you can add it as a remote MCP connector in Claude, ChatGPT, Cursor, and other clients. Connect your Formo account with the AI tools you already use. Learn more in the MCP docs.
Segments on Funnels: You can now filter Funnels by any saved segment, the same way you can on the Users and Activity pages. Pick a segment and the entire funnel recomputes against that cohort, so you can compare conversion across audiences without duplicating charts.
Event Exclusions in Flow Charts: Flow charts now support an event exclusion filter. Pick events to leave out and the chart reflows around only the events you care about. It's the fastest way to clean up noisy paths without changing your instrumentation.

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Introducing Performance Improvements, Last-Touch Attribution, and Funnel & Flow API

Formo now loads faster across core analytics views, gives marketing teams a complete attribution picture, and makes conversion and journey data available programmatically.

These updates make it easier to work with large datasets, understand which channels close conversions, and integrate Formo data into external dashboards and notebooks.

Performance Improvements: Significant performance improvements have been shipped across wallets, transactions, top pages, top sources, funnels, and flow charts.
Last-Touch Attribution for Funnels: Funnels now support last-touch attribution as a first-class breakdown option, letting you credit the most recent source, campaign, or referrer before a user converted. This complements first-touch attribution and gives growth and marketing teams a clearer view of which channels drive conversion at the moment of action. Open any existing funnel and toggle the attribution type to last-touch. Learn more in the Funnels documentation.
Funnel and Flow Public API Endpoints: Funnels and Flows are now available through the public Query API, so you can pull conversion and user-journey data programmatically into dashboards, notebooks, and downstream systems. The OpenAPI spec has been updated alongside the new endpoints. See the API overview for more.

Learn more

AI SQL Helpers, Funnel Compare Mode, and Area Charts

Formo now makes it faster to write queries, explore funnels, and visualize data across your DeFi analytics dashboard.

These updates make it easier to go from question to insight without leaving the dashboard, compare conversion across time periods, and extend Formo's data into your own internal tooling.

AI SQL Helpers: Three new AI helpers now sit next to the SQL editor: Explain this Query describes what a SQL query does in plain English, Generate SQL turns a prompt into a query, and Format SQL cleans up an existing query in place.
Ask AI Follow-up Questions: Every Ask AI response now ends with suggested follow-up questions you can click to keep digging. Suggestions are generated from the current conversation, saved charts, events, and segments, so they stay relevant to the data you're actually looking at.
Funnels Compare Mode: The funnel chart now has a Compare mode toggle in its date controls, mirroring the one on the overview page, so you can put two date ranges side by side. Each step now also shows the median time to convert from the previous step, so you can see where users stall, not just where they drop.
Area Charts: You can now create Area Charts with stacking support out of the box, available alongside Line, Bar, Number, and other existing chart types.
Global Search: Hit Cmd+K (or Ctrl+K) anywhere in the app to open a command palette. Jump to key pages, custom boards, segments, past chats, and settings. If your query doesn't match a known action, send it straight to Ask AI.
Profile Side Panel: On the Users page, clicking a user now opens their profile in a side panel instead of a new tab, keeping your filtered list visible while you explore individual wallets.
Query API: The full Query API is now live with 18 public endpoints that expose the same data powering every chart on the Formo dashboard. Use it to build internal tooling and custom dashboards with Formo data.

Learn more

DeFi Testnet to Mainnet Launch: 4 Readiness Checks Before You Go Live (2026 Checklist)

This article covers why testnet traction rarely converts to mainnet adoption, how to validate your onboarding flow and analytics setup before public traffic arrives, and a checklist covering product usability, wallet flows, liquidity seeding, and distribution timing to avoid the most common launch failures.

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AI-Powered DeFi Analytics: A 6-Step Framework for Onchain Growth Teams to Turn Data Into Decisions

This article covers how to unify offchain and onchain data into a single queryable layer, how to filter bots and sybil wallets before analysis, and how to run the four highest-value analyses for DeFi growth teams: activation funnel breakdown, wallet cohort segmentation, retention pattern detection, and onchain campaign attribution.

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DEX vs Lending vs Vaults: How Analytics Requirements Differ by DeFi Protocol Type

This article covers why applying the same retention and funnel metrics across DEX, lending, and vault protocols produces misleading data, and maps the seven analytics decisions that differ by protocol type so teams measure what actually matters for their vertical.

Learn more

How to Measure DeFi Protocol Integration Impact: Integration Types, Retention Benchmarks, and ROI Scorecard (2026)

This article covers how to assess whether a DeFi protocol integration drove real growth, with a breakdown of integration types, step-by-step measurement guidance, retention benchmarks, and a scorecard for evaluating integration success.

Learn more

Web3 Monthly Recap

Stablecoins are going local by Robert Hackett and Jeremy Zhang (a16zcrypto).
The New PMF Playbook: Three Patterns Working in Crypto Right Now by Jason Rosenthal.
State of Onchain Credit by Patryk.
Noncustodiality Is Not a Philosophical Question. It's a Security One by Merlin Egalite.
Collapsing DeFi's Risk Premium by Leuts.eth.
We raised a $2.2B crypto fund by Chris Dixon (az16crypto).
When Abstract Becomes Concrete by Spencer Bogart.
The long game for crypto by Chris Dixon.
Four Business Models in Stablecoins by Jonah Burian.
The Things That Don't Exist Yet by Spencer Bogart.
You Can't Charge Fees on Stablecoins by Jonah Burian.
The Machinery of Modern Finance by Brandon Kumar (Diversions).

Read our previous update HERE.

Introducing Solana Support, Smarter Ask AI, Mobile Attribution, and Dashboard Improvements

Yos Riady — Fri, 15 May 2026 02:38:20 +0000

gm, builders! 👋

Here’s your roundup of April 2026's onchain news and growth insights.

Highlights

Historical Wallet Data, Solana Support, and Mobile Lifecycle Events
Multi-Anchor Flows, Dashboard Improvements, and CLI
Extra Usage, Smarter Ask AI, Top Channels, and Mobile Attribution
User Properties, Custom Labels, Audit Log, and Improved Wallet Search
DeFi Incentives and Long-Term Growth: Why Token Rewards Fail (2026 Guide)
TVL vs Active Users in DeFi: Which Metric Predicts Growth (+ 5-Signal Framework)
DeFi Liquidity Bootstrapping: What Works (2026 Guide)
DeFi Go-to-Market Strategy: 3 Key Pillars That Retain TVL (2026 Guide)
Web3 Monthly Recap

Introducing Historical Wallet Data, Solana Support, and Mobile Lifecycle Events

Formo now gives DeFi teams deeper visibility into wallet history, revenue behavior, and Solana users across their growth funnel.

These updates make it easier to understand how high-value users evolve over time, attribute revenue to specific events and channels, and capture mobile user activity automatically.

Volume and Revenue Timeseries: View how each user’s volume and revenue change over time directly from the wallet profile page. The chart shows full attribution across events, referrers, UTMs, and referrals, making it easier to identify key revenue signals and understand the history of individual wallets within your app.
Historical Wallet Data: View past snapshots of a wallet’s net worth, apps, and tokens by selecting a date from the wallet profile page. Historical wallet data gives teams a clearer picture of how users’ onchain activity and portfolios have changed over time.
Solana Wallet Profiles: Formo now supports Solana wallet addresses alongside EVM wallets, helping teams turn anonymous Solana addresses into rich profiles with social data and token balances.
Solana SDK: Framework Kit Integration: The Solana integration now works with framework-kit and @solana/kit, supporting the newer stack that supersedes the web3.js and wallet-adapter approach.
React Native SDK: Mobile Lifecycle Events: The React Native SDK now automatically captures install, update, open, and background events following the standard mobile lifecycle spec.
Improved Slack Alerts: Slack alerts have been redesigned for better readability. Teams can also customize which event properties appear in each alert, with a live preview before saving.

Learn more

Introducing Multi-Anchor Flows, Dashboard Improvements, and CLI

Formo now gives DeFi teams more flexible ways to explore user journeys, compare performance over time, and build dashboards faster.

These updates make it easier to understand how users move across your app, organize analytics workflows, and query data with more powerful SQL and CLI tools.

Multi-Anchor Flows: Flow charts now support multiple anchor steps, letting you visualize how users move through several key events instead of just one. This gives teams a more complete picture of the user journey across their DeFi app.
Compare Previous Period: Compare Overview page data with the previous time period to understand performance across consecutive windows. For example, when 30D is selected, all Overview charts compare against the prior 30D period, making it easier to spot trends and measure whether metrics are improving or declining.
Ask AI Dashboard Creation: Ask AI can now create entire dashboards from a prompt. Describe what you want to track, and Ask AI will generate a complete dashboard with relevant charts that can be saved as a new dashboard.
Reorder Charts: Reorder charts on custom dashboards to put the most important metrics front and center.
Duplicate Charts: Duplicate any chart in a custom dashboard to quickly create variations with different filters, time ranges, or breakdowns.
Move Charts Between Dashboards: Move charts from one dashboard to another, making it easier to reorganize dashboards without recreating charts from scratch.
SQL: Dynamic Date Variables: Charts now support dynamic date range filtering through template variables in SQL queries. Instead of hardcoding dates, charts can automatically adjust based on a shared date picker, making dashboards more interactive across different time windows.
SQL: Price Oracle Functions: Use price oracle functions in SQL queries to convert token amounts into USD values directly, without manually joining external price data.
Formo CLI: The Formo CLI, @formo/cli, is now available. It gives teams an agent-friendly terminal interface for working with Formo, from querying data to creating charts and more.

Learn more

Introducing Extra Usage, Smarter Ask AI, Top Channels, and Mobile Attribution

Formo now gives growing DeFi teams more reliable tracking, smarter AI analytics, and clearer attribution across web and mobile.

These updates make it easier to avoid data loss during usage spikes, understand where users come from, and use Ask AI for more accurate analytics, product, SDK, and API answers.

Extra Usage: Workspaces with a payment method can now go above their plan’s MAU limit without missing data. Overages are billed as a one-time charge at the end of the cycle, and teams can set a monthly spend cap to avoid surprises.
Ask AI Gets Smarter: Ask AI can now answer product, SDK, and API questions by searching and citing the exact doc pages it used. It also includes updated SQL functions and variables, stricter chart validation, cleaner answers, improved dashboard saving, and new guardrails to keep responses focused on analytics questions it can answer well.
Top Channels: View a Channels chart alongside Referrers and UTM. Referrers, UTMs, and other properties are automatically grouped into marketing channels like Organic Social, Paid Search, Direct, Referral, and Email, so teams can understand traffic composition without manually bucketing domains.
Click IDs for Paid Attribution: The Web SDK now captures and persists click ID parameters from landing page URLs alongside UTMs, helping attribute paid traffic from Google, Meta, TikTok, LinkedIn, Reddit, and X to the campaigns that drove it.
Install-Time Mobile Attribution: The React Native SDK now captures install-time attribution from the Google Play Install Referrer API on Android and Apple AdServices on iOS. Deep link attribution still takes precedence, and merge logic only fills empty fields so real deep links are never overwritten.

Learn more

Introducing User Properties, Custom Labels, Audit Log, and Improved Wallet Search

Formo now helps DeFi teams enrich wallet profiles with first-party data, track workspace changes, and find users across wallet and social identifiers.

These updates make it easier to use Formo as a single source of truth for your users, combining first-party identity data with product, web, and onchain activity.

User Properties and Labels: Add first-party user properties and custom user labels to wallet profiles from the dashboard or API. Set custom display names, emails, socials, avatars, locations, and other identity fields, then tag wallets with labels like VIP tier or KYC status.
Unified User Profiles: Custom properties and labels work with existing segments, filters, and charts out of the box. Push user properties and labels into Formo’s customer data platform, then use the unified profile across product analytics, attribution, segmentation, and outreach.
Workspace Audit Log: Workspaces now record an Audit Log of key actions, including invites, role changes, project updates, billing changes, and other workspace changes. This supports SOC2 readiness and gives teams better visibility when multiple admins manage the same workspace.
Improved Wallet Search: Search wallets from social profiles on the Users page and Profile Search API. Search by partial address, ENS name, Twitter handle, or any social identifier, and Formo will find the matching wallet profile.

Learn more

DeFi Incentives and Long-Term Growth: Why Token Rewards Fail (2026 Guide)

This article covers why token incentives often create short-term DeFi activity instead of sustainable growth, how mercenary liquidity distorts TVL and user metrics, and how teams can design rewards that reinforce real usage by measuring organic volume, retention, and long-term protocol utility.

Learn more

TVL vs Active Users in DeFi: Which Metric Predicts Growth (+ 5-Signal Framework)

This article covers why TVL and active users can both mislead DeFi teams when viewed alone, how capital, wallet activity, volume, fees, and retention each reveal different parts of protocol health, and how teams can use a five-signal framework to measure whether growth is real, durable, and economically meaningful.

Learn more

DeFi Liquidity Bootstrapping: What Works (2026 Guide)

This article covers when liquidity bootstrapping helps DeFi protocols solve the cold start problem, why incentive-driven TVL often disappears once rewards end, and how teams can transition from mercenary capital to sustainable growth by tracking wallet retention, first transactions, organic volume, and post-incentive usage.

Learn more

DeFi Go-to-Market Strategy: 3 Key Pillars That Retain TVL (2026 Guide)

This article covers why successful DeFi launches depend on aligning distribution, liquidity, and onboarding from day one, how teams can avoid mistaking incentive-driven TVL for real traction, and why tracking wallet connects, transactions, retention, and onchain user profiles early is critical for turning launch attention into sustainable growth.

Learn more

Web3 Monthly Recap

Why marketing isn't enough anymore by Artem Sinyakin (OAK Research).
The GTM success recipe: PMF, UX and marketing by Maria Magenes (SpaghettETH, Hype).
Drift says $270 million exploit was a six-month North Korean intelligence operation by Shaurya Malwa (Coindesk).
Everything is DCF by Felipe Montealegre (Digital Asset Summit 2026 New York).
Things we’re excited about for consumer crypto in 2026 by Social Graph Ventures.
The Ethereum Security Subsidy Program by Ethereum Foundation.
How @SkyEcosystem Built the Most Resilient Stablecoin in DeFi with @RuneKek by The Rollup.
Everything is Market by Jesse Walden.

Read our previous update HERE.

The Definitive Guide to Web3 Wallet Segmentation and Analytics

Yos Riady — Tue, 12 May 2026 10:18:38 +0000

Original article: https://formo.so/blog/web3-analytics-wallet-targeting-segmentation

Key Takeaways

Wallet segmentation groups addresses by type and behavior: hot wallets for real-time engagement signals, cold wallets for high-value holder identification, and multi-chain wallets for cross-protocol journey mapping.
Common actionable segments include whales, dolphins, retail users, DeFi participants, NFT collectors, and governance contributors, each requiring distinct campaign and product strategies.
Effective segmentation requires four practices: defining KPIs tied to business outcomes, building taxonomies with specific campaigns attached to each segment, iterating based on A/B tests, and benchmarking retention and activation rates at regular intervals.

Web3 wallet segmentation groups addresses by behavior, holdings, and onchain activity to enable targeted analytics, personalized campaigns, and product optimization—critical as wallet usage and market value surge across multi-chain ecosystems.

Introduction to Web3 Wallet Segmentation and Analytics

Web3 analytics differs from Web2: instead of cookies and PII, teams analyze wallet addresses and onchain behavior. Wallet segmentation turns raw blockchain data into actionable groups—e.g., DeFi power users, NFT collectors, or long-term holders—so teams can target messaging, optimize products, and measure campaign ROI.

Effective segmentation requires multi-chain support, privacy-preserving methods, and real-time insights to operate in fast-moving markets. Modern platforms must link fragmented onchain signals, respect user sovereignty, and surface segments that are both accurate and actionable.

Understanding Types of Web3 Wallets

Wallet type affects user behavior, analytics signals, and segmentation approaches. Common categories include hot wallets (frequent interactions), cold/hardware wallets (long-term storage and security-conscious holders), non-custodial wallets (privacy-first, self-sovereign users), and multi-chain wallets (cross-protocol activity). The non-custodial market is forecast to grow from $1.1B in 2024 to $3.5B by 2033, underscoring demand for targeted analytics in privacy-centric segments.

Wallet Type	Primary Use Case	Market Growth	Analytics Focus
Hot Wallets	Daily trading and dApp interaction	High adoption	Real-time behavior tracking
Cold Wallets	Long-term asset storage	Steady growth	High-value holder identification
Non-Custodial	Self-sovereign asset control	13.9% CAGR to 2033	Privacy-first segmentation
Hardware	Offline private-key security	Projected $7.13B by 2033	Security-conscious profiling
Multi-Chain	Cross-chain asset management	Rapidly expanding	Cross-chain journey mapping

Hot Wallets and Their Role in User Engagement

Hot wallets drive the highest-frequency onchain signals—transactions, dApp calls, and multi-dApp exploration—making them ideal for real-time segmentation and time-sensitive campaigns (e.g., NFT drops, yield events). Identify hot-wallet segments via daily active addresses, transaction velocity, and breadth of dApp interactions. These users often serve as early adopters and campaign amplifiers.

Cold Wallets for Secure Asset Storage

Cold wallets produce fewer but higher-impact transactions and often hold substantial value, so analytics should focus on whale detection, large transfers, and cold-to-hot flows. Tracking these infrequent but significant movements enables targeted retention, partnership, and institutional engagement strategies, requiring pattern recognition that links occasional large transfers to user intent.

Non-Custodial Wallets and User Control

Non-custodial wallets embody Web3 self-sovereignty; users prioritize privacy and control, resisting traditional tracking. Segmentation must therefore rely on onchain signals—contract interactions, token preferences, governance votes—rather than offchain identifiers, and use privacy-first analytics to remain trust-preserving while still actionable.

Hardware Wallets Enhancing Security

Hardware wallets indicate security-conscious, often high-net-worth users; their activity patterns (offline signing, infrequent deliberate transfers, multiple purpose wallets) can identify prime candidates for premium offerings, governance roles, and high-touch outreach. Analytics must reconcile address linking with respect for security practices.

Multi-Chain Wallets for Cross-Blockchain Management

Multi-chain wallets concentrate sophisticated users who span DeFi, gaming, and NFT ecosystems; single-chain analytics miss their full value. Platforms must unify cross-chain activity to assess total portfolio value, cross-chain arbitrage behavior, and multi-protocol engagement, enabling accurate segmentation and campaign targeting across ecosystems.

Key Trends Shaping Web3 Wallet Analytics

Trends shaping analytics include rising user awareness, stronger wallet security features, growth in cross-chain capabilities, and the tension between deep analytics and privacy protection. Teams must adopt tools that scale, preserve privacy, and deliver real-time, cross-chain insights.

Rising User Awareness and Adoption

With 92% global awareness of blockchain and 24% having used a Web3 wallet or dApp, audiences are broadening beyond early adopters. This expansion demands nuanced segmentation across experience levels and use cases and increases demand for precise targeting and measurement as markets mature.

Advancements in Wallet Security Features

Wallets now embed biometric auth, multi-signature workflows, and AI-powered fraud detection, each producing distinct behavioral signals. Segmenting by security feature adoption surfaces users who prioritize protection versus convenience, informing tailored messaging and product offers.

Growth of Cross-Chain Analytics Capabilities

Multi-chain activity is ubiquitous: users may farm on Ethereum, game on Polygon, and trade NFTs on Solana in the same week. Single-chain views miss cross-protocol patterns; best-in-class platforms unify these signals to reveal holistic user journeys and enable cross-chain campaign strategies.

Balancing Data Privacy with Analytics Needs

Web3 demands privacy-first analytics: minimal offchain data, pseudonymous models, and clustering techniques that respect user sovereignty. Privacy-preserving methods—behavioral clustering, asset-based segmentation, and differential approaches—allow actionable insights without exposing personal data.

Best Practices for Effective Wallet Segmentation and Analytics

Delivering business value requires clear goals, actionable segments, iterative refining, benchmarking, and digestible visualizations. Avoid vanity metrics; instead, measure outcomes that tie directly to marketing, product, and community KPIs.

Defining Clear Success Metrics for Wallet Analytics

Track KPIs aligned with business outcomes: active wallets, activation rates, conversion and retention cohorts, and value metrics like TVL and average holding periods. Advanced teams add clustering accuracy, cross-chain identification rates, and LTV prediction. Use these metrics to define and validate segment thresholds.

Metric Category	Key Indicators	Business Application
Activity Metrics	Daily/Monthly active wallets, tx frequency	Engagement tracking
Value Metrics	Total value locked, holding period, diversity	High-value user ID
Conversion Metrics	Campaign response, feature adoption	Marketing optimization
Retention Metrics	Cohort retention, churn prediction	Long-term growth planning

Clear KPIs enable precision in defining whales, power users, and other high-impact cohorts and guide resource allocation for acquisition and retention.

Segmenting Wallets by Behavior, Holdings, and Engagement

Construct taxonomies that map to business actions: whales/dolphins/retail by holdings, DeFi users by protocol interactions, NFT collectors by marketplace activity, and newbies by initial dApp interactions. Advanced segments include timing-based clusters, governance participation, and cross-chain engagement. Ensure each segment is actionable—i.e., there is a specific campaign, product change, or experiment tied to it.

Iterative Implementation and Data-Driven Refinement

Roll out analytics in phases: core segmentation first, then add predictive scoring, cross-chain linking, and automated triggers. Use A/B tests and feedback loops to validate hypotheses and refine segment definitions. Treat analytics as continuous improvement, not a one-time build.

Benchmarking Against Industry Standards

Compare internal metrics to industry baselines and peers to contextualize performance. Track acquisition cost, activation and engagement rates, retention cohorts, and campaign KPIs at regular intervals to diagnose internal problems versus market-wide shifts. Benchmarks can include public figures like MetaMask’s user metrics for adoption context.

Benchmark Category	Industry Standards	Evaluation Frequency
User Acquisition	CPA, conversion rates	Monthly
Engagement Metrics	DAU/MAU, session depth	Weekly
Retention Rates	7/30/90-day retention	Monthly
Campaign Performance	CTR, conversion	Per campaign

Leveraging Data Visualization for Actionable Insights

Present segmentation through interactive dashboards, heat maps, user flows, and real-time alerts to democratize insights across teams. Prioritize clarity and actionability—dashboards should enable immediate decisions, not just display metrics. Look for multi-chain support, real-time updates, privacy-compliant handling, and integration with marketing/product tooling.

Choosing the Best Web3 Analytics Solution for Precise Wallet Targeting

Select platforms that deliver real-time segmentation, wallet clustering, behavioral triggers, token-based filters, cross-chain analytics, and privacy-first data handling. The ideal solution supports predictive scoring, API/webhook integrations, and tools that translate intelligence into executable campaigns.

Essential Features for Advanced Wallet Targeting

Critical capabilities include dynamic segmentation, clustering that links addresses probabilistically, behavioral triggers for automated outreach, token-based audience filters, cross-chain unification, and privacy-preserving collection methods.

Feature Category	Core Capabilities	Business Impact
Segmentation	Real-time clustering, behavioral triggers	Improved targeting precision
Intelligence	Wallet scoring, predictive analytics	Higher campaign ROI
Privacy	Pseudonymous tracking, minimal collection	User trust and compliance
Integration	APIs, webhooks, embeddable dashboards	Operational efficiency

Prioritize platforms aligned with your primary use cases—DeFi acquisition, NFT community growth, or multi-chain protocol adoption—while ensuring growth runway for future needs.

Role of Wallet Intelligence in Marketing Optimization

Wallet intelligence aggregates onchain signals and clustering outputs to rank users by predicted value and propensity to act, enabling high-ROI campaigns like targeted airdrops, loyalty rewards, and personalized outreach. Accurate intelligence reduces wasted spend and improves LTV by focusing on users with real engagement signals across chains.

Practical intelligence balances model complexity with usability: scores must translate into concrete campaigns and measurable outcomes rather than remaining academic exercises.

Importance of Token-Gated Data Collection Tools

Token-gated forms require proof of token ownership to submit or access content, improving data quality and ensuring participation from relevant holders. This approach supports community research, product feedback, and qualification for gated programs, filtering for engaged, invested users.

Formo’s token-gated capabilities illustrate how wallet intelligence plus token verification yields high-quality responses and higher conversion for holder-targeted campaigns. Ease of verification matters: friction reduces participation, so UX and privacy must be balanced.

Integrating Analytics with On-Chain Product Strategies

Embed analytics into product and marketing workflows: analyze onboarding funnels, track feature adoption, attribute campaigns to onchain conversions, and close feedback loops between behavior and roadmap decisions. Unified analytics reduces silos, speeds decisions, and improves product-market fit for token-enabled features.

Platforms that provide single sources of truth for wallet behavior, campaign performance, and product metrics accelerate iteration and reduce integration overhead—especially important for tokenized, multi-chain products.

Future Outlook for Web3 Wallet Analytics and Segmentation

The wallet analytics market is poised for major expansion as user adoption grows and tools become more sophisticated; the wallet market is projected to grow from $18B in 2025 to $153.88B by 2033 at a 30.76% CAGR. Future platforms will combine AI, real-time processing, privacy-preserving techniques, and native multi-chain support to surface richer, actionable segments.

Market Growth and Emerging Technologies

Emerging tech—AI for pattern recognition, real-time analytics for immediate optimization, integrated DeFi services, and privacy-preserving methods—will enable automated scoring, predictive churn prevention, and cross-protocol journey mapping at scale. These advances make sophisticated segmentation affordable and operational for more teams.

Predictive Analytics and On-Chain Reputation Systems

Predictive models will forecast user intent and value, enabling proactive engagement; on-chain reputation systems will add portable credibility signals for governance and partnership use cases. Applications include VIP targeting, anti-sybil defenses, community moderation, and partner discovery, with reputation protocols potentially enabling privacy-conscious portability of scores.

Enhanced Multi-Chain and DeFi Integration

Next-gen analytics will natively ingest and unify multi-chain activity, detect cross-chain arbitrage, and provide protocol-agnostic reporting. This removes current blind spots, improves campaign targeting across ecosystems, and helps teams identify high-value users whose activity spans chains.

Privacy-First Analytics Innovations

Privacy-preserving techniques—pseudonymous analysis, differential privacy, homomorphic encryption, and zero-knowledge primitives—will expand analytics capabilities without compromising user sovereignty. Teams that adopt these techniques gain trust and long-term viability in privacy-conscious Web3 markets.

FAQs about Web3 Wallet Segmentation and Analytics

How do analytics platforms link multiple wallets to a single user?

Platforms use probabilistic clustering based on heuristics like transaction patterns, funding flows, contract relationships, and metadata to link related addresses while preserving pseudonymity.

What are common wallet user segments in Web3 analytics?

Typical segments include whales, dolphins, retail users, DeFi participants, NFT collectors, and activity-based cohorts differentiated by engagement frequency and protocol adoption.

Which metrics are critical for measuring wallet activity and value?

Key metrics include total unique wallets, active users over time, account balances/portfolio composition, activation rates, engagement frequency, and indicators for bots or sybil activity.

How does wallet segmentation improve marketing and product decisions?

Segmentation identifies high-value and receptive users for targeted outreach, optimizes campaign spend, informs product features for specific cohorts, and improves measurement of campaign effectiveness and retention.

How is user privacy maintained in Web3 wallet analytics?

Privacy is maintained via pseudonymous onchain analysis, minimal offchain data collection, privacy-preserving clustering, and adherence to Web3 principles that avoid unnecessary personal data collection.

15+ Web3 Metrics That Drive Real Growth

Yos Riady — Tue, 12 May 2026 10:17:53 +0000

Original article: https://formo.so/blog/web3-metrics-for-growth

Key Takeaways

Activated wallets measure genuine product value more accurately than wallet connections since a connection only indicates interest while completing a first stake, mint, or swap shows a user found real utility.
Transaction frequency signals product-market fit more reliably than pageviews or session counts because onchain actions carry real cost and intent, making them harder to game than passive web engagement.
At-risk wallets inactive for 30 or more days should trigger proactive re-engagement since early identification allows intervention before disengagement becomes permanent churn.

Traditional metrics like pageviews and sign-ups don't capture the full picture for Web3 products. Success in crypto hinges on onchain user engagement—wallet activity, transaction patterns, and protocol-level interactions that reflect genuine user behavior and value creation.

This guide provides essential Web3 user engagement metrics across acquisition, activation, engagement, retention, and revenue. Tools like Formo provide the Web3 analytics needed to track these metrics in real-time, helping teams build better onchain apps.

Why Web3 User Engagement Metrics Are Different

Unlike Web2's focus on centralized events like pageviews and sessions, Web3 analytics centers on wallet-level activity and onchain metrics. This shift provides a more accurate view of product health and user trust because onchain actions—like staking or swapping—are verifiable and hold real value.

Metric Type	Web2 Example	Web3 Equivalent
Acquisition	Signups	Wallet Connections
Activation	First Purchase	First Transaction (Mint/Swap)
Engagement	Pageviews/DAU	Onchain Txns / Daily Active Wallets
Retention	Returning Users	Returning Wallets

Acquisition Metrics: Gauging Initial Interest

Acquisition focuses on attracting users and getting them to connect. These metrics measure the top of your funnel:

Wallet Connections: The first sign of user interest—Web3's equivalent of a sign-up. Track connections across different wallet types to identify preferred user entry points.
Cost Per Wallet (CPW): Measures how much you spend to acquire each new wallet. This helps assess marketing channel efficiency and optimize budget allocation across campaigns.

Activation Metrics: Turning Interest into Action

Activation occurs when users perform meaningful first actions that deliver value. A wallet connection alone isn't enough.

Activated Wallets: Wallets that complete key actions like staking, minting, or swapping. This is a core indicator of genuine user engagement and shows which users find real value in your product.
Time-to-First Transaction: How long it takes new users to make their first transaction. Shorter times indicate smooth onboarding experiences and reduce drop-off rates.

Engagement Metrics: Measuring Ongoing Interaction

Engagement shows how much utility users find in your app—this is where you measure stickiness.

Active Wallets (DAW/WAW/MAW): Tracks unique wallets interacting with your dApp daily, weekly, or monthly. This fundamental onchain metric reveals user activity patterns and engagement trends.
Transaction Frequency: How often users transact. Higher frequency implies strong product utility and signals product-market fit.
Usage Intensity: Goes beyond frequency to measure interaction quality—volume of swaps, governance participation, or protocol usage depth.

Retention Metrics: Keeping Your Users

High retention signals that users find continuous value. These metrics are crucial for long-term success:

Retention Rate: Percentage of active wallets that return to engage over specific periods (weekly, monthly). Strong retention indicates users derive ongoing value from your protocol.
Customer Lifetime Value (CLV): Estimates total revenue a user generates. This helps justify acquisition costs and gauge long-term growth potential.
At-Risk Users: Identifies wallets inactive for set periods (30+ days), signaling potential churn. Early identification enables proactive re-engagement efforts.

Revenue Metrics: Gauging Economic Health

These metrics evaluate your monetization strategy's success:

Average Revenue Per User (ARPU): Average revenue generated per active user. Crucial for understanding monetization effectiveness and comparing user segments.
Total Value Locked (TVL): Key DeFi metric representing total assets locked in protocol smart contracts. Higher TVL indicates user trust and platform health.
User Fee Contribution: Revenue generated from individual users through protocol fees. Understanding fee distribution helps optimize pricing strategies.

How Formo Simplifies Web3 Analytics

Formo provides real-time Web3 analytics and onchain attribution without requiring SQL expertise. The platform unifies onchain and offchain data, giving product, marketing, and data teams complete user journey visibility.

Key features include Wallet Profiles that transform anonymous addresses into valuable user segments, custom dashboards for metric tracking, and cohort analysis for understanding user behavior patterns over time.

Start Tracking What Matters

Tracking the right Web3 user engagement metrics is crucial for understanding user behavior and driving sustainable growth. Focus on onchain metrics like activated wallets and transaction frequency—they provide more accurate success indicators than vanity metrics.

Stop building without clear direction. Start making data-driven decisions with comprehensive Web3 analytics that illuminate your path to growth.

Ready to track the metrics that matter? Book a demo with Formo today.

FAQs

Why are Web3-specific growth metrics important?

Web3-specific metrics are vital for web3 product and web3 marketing teams understanding how users interact with your onchain product. While standard analytics provide a baseline, onchain KPIs offer a truer picture of engagement. By tracking metrics like weekly active wallets, first contract interaction rate, and cohort retention, you can measure what really matters and focus on real growth.

How do I choose a north-star metric for my Web3 product?

Your north-star metric should capture your product's core value.

For a dApp, this might be Weekly Active Users (WAU) to measure engagement.
A DeFi protocol could choose Total Value Locked (TVL) to show trust.
An NFT marketplace might focus on Gross Merchandise Volume (GMV).

Supporting KPIs, like activation and retention rates, should ladder up to this primary goal.

How should I measure user activation for a Web3 product?

Activation is when a new user takes a meaningful first action. Key milestones include connecting a wallet, making a first transaction, or calling a smart contract. You can also track specific events like a user's first swap or stake. Measure your activation rate by user cohort and track the average time it takes a new wallet to reach these milestones.

How do I measure user retention for a Web3 product?

A retained user is a wallet that returns to your app after their first visit. Track this by measuring activity over key windows, like week 1 or on a rolling 30-day basis. For deeper insights, segment users by their on-chain behavior, such as protocols used or token holdings. You can also assess product stickiness by looking at the ratio of Daily Active Users to Weekly Active Users (DAU/WAU).

What are the key revenue and efficiency metrics for Web3?

You can measure revenue and efficiency with several key metrics.

Track protocol fees, take rate, and Gross Merchandise Volume (GMV).
Analyze the Lifetime Value (LTV) of different user segments and compare it to your Customer Acquisition Cost (CAC).
Monitor quality signals like failed transaction rates to ensure a good user experience.

Boost Product Decisions Using Top Onchain App Analytics Tools

Yos Riady — Tue, 12 May 2026 09:54:24 +0000

Original article: https://formo.so/blog/top-onchain-analytics-platforms

Key Takeaways

Wallet retention reveals product-market fit more reliably than TVL or transaction volume because it measures whether users find enough value to return, rather than how much capital or activity a protocol attracts.
Quantitative onchain data shows what users do while qualitative feedback explains why so product teams need both to diagnose root causes of drop-offs rather than just detecting that drop-offs exist.
Each analytics platform serves a distinct product need so teams should match tools to their use case, with general-purpose dashboards, wallet intelligence suites, and compliance tools serving fundamentally different functions.

Use specialized onchain analytics—combining wallet intelligence, real-time monitoring, and privacy-first tools—to track meaningful metrics, attribute user journeys, and optimize Web3 product retention and growth.

Web3 product teams face unique challenges when making data-driven decisions because blockchain apps produce transparent, immutable data that requires specialized interpretation. Onchain analytics platforms read blockchain data directly to provide real-time insights into wallet behavior, transaction patterns, and user engagement across decentralized applications. With the right tools, teams can measure meaningful metrics, understand user journeys, and optimize applications for better retention and growth. This guide reviews top onchain analytics platforms and best practices for implementing data-driven product strategies in Web3.

Define Key Metrics for Onchain Product Analytics

Choosing the right metrics is essential for informed product decisions. Onchain metrics capture user and asset activity recorded on a blockchain—wallet interactions, smart contract calls, and token movements—offering visibility unavailable to traditional web analytics.

Essential metrics:

Active addresses: unique wallets interacting over time (DAU/WAU).
Transaction volume: economic activity and usage intensity.
Wallet retention: return rate after first interaction; reveals product-market fit.
Smart contract interactions: feature popularity and adoption.
Token flows: asset movement and economic patterns.
Gas usage (network fees): user cost and UX friction.
NVT ratio: protocol efficiency by comparing network value to transaction volume.

Metric	Business Question	Use Case
Active Addresses	How many unique users are engaging daily/weekly?	Track DAU/WAU growth
Transaction Volume	What's the economic activity level?	Measure product usage intensity
Wallet Retention	Are users coming back?	Optimize onboarding and features
Smart Contract Interactions	Which features are most popular?	Prioritize development resources
Token Flows	How do assets move through the ecosystem?	Understand economic patterns
Gas Usage	What's the user experience cost?	Optimize transaction efficiency

Prioritize actionable metrics that correlate with user satisfaction and business objectives rather than vanity metrics like raw TVL. Focus on measures that guide product decisions: retention, adoption, and feature usage.

Select the Best Onchain Analytics Tools for Your Product

Onchain analytics platforms aggregate and interpret blockchain data to reveal wallet behaviors and transaction trends, helping teams make data-driven product decisions. The landscape includes general-purpose dashboards, wallet-intelligence suites, and compliance-focused solutions.

Platform	Strengths	Supported Blockchains	Ideal Use Case
Formo	Privacy-first, unified analytics	Ethereum, Polygon, BSC, Arbitrum	Product teams needing comprehensive user insights and attribution
Nansen	Wallet labeling, AI insights	15+ major chains	Research and institutional analysis
Dune Analytics	Custom queries, community dashboards	Ethereum, Polygon, Solana	Data analysts and researchers
Chainalysis	Risk detection, compliance	100+ blockchains	Enterprise compliance and security
Elliptic	AML/KYC, investigation tools	Bitcoin, Ethereum, others	Financial institutions and compliance

When evaluating platforms, consider:

Privacy-first approaches
Wallet intelligence
AI-powered insights
Risk detection/compliance
Behavioral segmentation

The right choice depends on technical resources, privacy requirements, and the specific analyses you need.

Formo's Privacy-First Analytics Solution

Formo is positioned for privacy-conscious Web3 teams that want unified insights across web and blockchain without invasive tracking or complex integrations. It combines web, product, and onchain analytics into a single dashboard and emphasizes privacy by design.

Formo’s core capabilities:

Real-time attribution: follow user actions from first touch to conversion across web and blockchain.
No third-party cookies: maintain privacy while collecting actionable signals.
Wallet intelligence: segment users by onchain behavior and holdings.
Unified dashboard: view web analytics, product KPIs, and blockchain data together.
Privacy-first SDK: simple integration that respects user privacy.
Advanced segmentation: create cohorts based on wallet activity and engagement.

Formo connects wallet addresses to user journeys, enabling attribution that spans marketing touchpoints through onchain transactions, eliminating data silos and speeding product optimization.

Track and Analyze User Behavior Onchain and Offchain

Behavioral analytics for Web3 combines onchain wallet intelligence (signups, swaps, governance votes, transactions) with offchain product and web events (pageviews, clicks, time on site) to reveal retention patterns and churn signals. The combined data enables comprehensive behavioral segmentation and accurate attribution.

Example conversion attribution workflow:

Track initial touchpoint (campaign landing page).
Monitor engagement (time on page, pages viewed).
Capture wallet connection to the app.
Analyze onchain actions (first transaction, token swaps, feature usage).
Measure retention (return visits and ongoing onchain activity).
Attribute conversion to the original marketing source.

Native unification of onchain and offchain data yields attribution and user insights neither source can provide alone; purely onchain or offchain views miss critical parts of the customer journey.

Implement Real-Time Monitoring for Agile Product Decisions

Real-time monitoring tracks blockchain activity and user behaviors—wallet transactions, smart contract interactions, feature usage—to enable rapid product responses in a fast-moving Web3 environment. Immediate alerts help teams act on emerging issues or opportunities before they escalate.

Monitor and alert on events such as:

Transaction volume spikes (viral adoption or scaling pressure).
Increased failed transactions (contract bugs or network congestion).
New-user onboarding patterns (successful campaigns or friction).
Whale wallet movements (market shifts or strategic interest).
Smart contract upgrade adoption (feature rollout response).
NFT mint participation (community engagement).

Set up actionable alerts that require a response rather than passive notifications. Nansen provides institutional alerting; Formo offers real-time event tracking geared to product teams. Focus alerts on metrics tied to SLA, UX, or growth objectives.

Combine Quantitative Analytics with Qualitative User Feedback

Quantitative data (onchain activity, retention, transaction volumes) shows what users do; qualitative feedback (surveys, AMAs, community posts, interviews) explains why. Combining both gives context to metrics and guides targeted product changes.

Data Type	Information Provided	Collection Methods	Example Insights
Quantitative	Usage patterns, retention rates, transaction volumes	Analytics dashboards, blockchain data	40% of users drop off after first transaction
Qualitative	User motivations, pain points, feature requests	Surveys, AMAs, Discord feedback	Users find gas fees confusing and unpredictable

Use analytics to detect anomalies (e.g., post-upgrade drop-offs) and qualitative research to identify root causes (UI confusion, technical issues, or perceived value). Validate hypotheses about low adoption by interviewing users to determine whether discoverability, complexity, or value perception is the problem.

Successful teams build integrated feedback loops: identify patterns with onchain analytics, then deploy qualitative research to uncover user needs and design fixes informed by both data types.

Iterate and Optimize Product Features Based on Insights

Optimize through a systematic loop: monitor metrics, analyze patterns, hypothesize improvements, test on targeted segments, and iterate based on measured results. This ensures changes are validated by user behavior rather than assumptions.

Segmentation and retention:

Segment users by transaction frequency, token holdings, recency, and feature engagement to tailor experiments.
Use retention windows (1-day, 7-day, 30-day) to evaluate onboarding and long-term engagement; users active after 7 days often behave differently than early churners.

Practical approach:

If a key feature has low usage, diagnose whether it’s discoverability, UX complexity, onboarding gaps, or low perceived value.
Run targeted experiments with control groups and measure impact on retention, adoption, and satisfaction.
Iterate quickly, tracking effect size via updated dashboards and refining interventions until metrics improve.

Measure every change and keep control cohorts to ensure observed effects are causal and reproducible.

FAQs About Onchain Analytics for Product Teams

What Metrics Should I Focus on for Web3 Product Growth?

Focus on active addresses, transaction volumes, wallet retention rates, and smart contract interactions; these track engagement, economic activity, stickiness, and feature adoption and provide actionable signals for product changes.

How Do Onchain Analytics Tools Help Improve User Retention?

They reveal wallet activity over time, expose churn patterns and feature engagement, and identify at-risk segments so teams can target interventions before users disengage.

What Are Best Practices for Using Wallet-Level Segmentation?

Group wallets by transaction frequency, token balances, feature engagement, and recency; align segments with business goals and tailor onboarding, messaging, and experiments to each cohort.

How Can I Ensure Privacy Compliance While Analyzing Onchain Data?

Use privacy-first platforms that aggregate pseudonymous wallet data without PII or third-party cookies, apply anonymization best practices, and focus on behavioral and aggregate insights, not individual identity.

How Do I Create Custom Dashboards to Monitor Key Product KPIs?

Select your core KPIs, combine onchain and offchain metrics, apply cohort filters, build visualizations, and configure real-time alerts; iterate dashboards as priorities evolve to keep them actionable.

Wallet Profiling Explained: Boosting User Targeting in 2026

Yos Riady — Tue, 12 May 2026 09:30:02 +0000

Original article: https://formo.so/blog/web3-wallet-profiling

Key Takeaways

Wallet profiling builds user segments from verified onchain behavior rather than inferred demographics using transaction history, protocol interactions, and token holdings to label users as DEX traders, NFT collectors, or yield farmers.
Identity resolution clusters multiple wallet addresses into a single user profile preventing overcounting and giving teams an accurate picture of actual user count across chains and protocols.
Data silos between offchain campaigns and onchain activity are the most common wallet profiling failure since separating social media tracking from transaction data prevents teams from seeing the full multi-stage user journey before a first onchain action.

Wallet profiling merges onchain and offchain data to create detailed user profiles, enhancing targeting in Web3. This method can boost acquisition ROI by up to 30%. Key practices include behavioural segmentation, predictive analytics, and token-gated campaigns. Future trends for 2025 focus on real-time cross-chain tracking and wallet-based identity resolution. Effective wallet profiling enables organizations to improve user engagement and retention through personalized experiences.

Many crypto projects struggle to effectively understand their users, often relying on incomplete data that fails to reveal true behaviour patterns. This article explores wallet profiling, a method that enables targeted user engagement by merging onchain and offchain data. Research indicates that businesses leveraging advanced user profiling techniques can boost their acquisition ROI by up to 30%. By the end, insights into best practices and future trends will be provided to enhance user targeting strategies in 2025.

Introduction to Wallet Profiling

Wallet profiling is the process of analyzing a user's onchain and offchain activities to create comprehensive Web3 user profiles. This method has become increasingly vital as the landscape of digital interactions evolves, allowing businesses to better understand their users and tailor experiences accordingly. Each blockchain wallet acts as a unique user identifier, facilitating detailed insights into user behavior and preferences.

By leveraging wallet profiling, organizations can segment users based on various criteria, such as transaction history, engagement levels, and interaction patterns. This segmentation supports targeted marketing efforts, enhances user retention strategies, and improves overall service delivery. As a core component of Web3 analytics, wallet profiling empowers teams to make informed decisions that drive growth and engagement.

The ability to create detailed profiles based on wallet activity offers a significant advantage in an increasingly competitive market, where personalization and user experience are paramount. This analytical approach not only aids in identifying key opportunities but also helps in mitigating risks associated with user engagement and retention.

In summary, wallet profiling is essential for any organization aiming to thrive in the evolving Web3 environment, where understanding user behavior can lead to better products and services.

Understanding Wallet Profiling in Web3

Wallet profiling is transforming how businesses understand and engage with users in the Web3 space. By analyzing both onchain and offchain activities, organizations can create detailed user profiles that enhance targeting and personalization. Each blockchain wallet serves as a unique identifier, providing insights into transaction histories, engagement levels, and interaction patterns.

Key differences between traditional Web2 analytics and wallet profiling highlight the advantages of the latter:

Identifier: Traditional analytics use cookies, session data, and device IDs, which can be blocked or deleted. Wallet analytics uses the wallet address as a persistent, user-controlled identifier.
Data Source: Web2 analytics pulls from centralized servers, often analyzing historical data. Web3 analytics pulls data directly from public, transparent blockchains, enabling real-time insights.
Data Ownership: In Web2, user data is typically owned and controlled by companies. In Web3, users retain ownership of their data and grant access on their own terms, enhancing privacy.
Focus: Web2 analytics focuses on website interactions like pageviews and clicks. Wallet analytics focuses on on-chain events like transactions, token holdings, and smart contract interactions.

These capabilities empower organizations to segment users effectively, leading to improved marketing strategies and enhanced user retention. Ultimately, wallet profiling is a critical component in the evolving landscape of user engagement in Web3.

How Wallet Profiling Works

Wallet profiling is essential for enhancing user targeting in the evolving landscape of digital interactions. By analyzing a user's onchain and offchain activities, businesses can construct comprehensive profiles that reveal insights into user behavior and preferences. This process enables organizations to effectively segment users based on various criteria, such as transaction history and engagement levels, which supports targeted marketing efforts and improves service delivery.

The wallet profiling process consists of several key components:

Data Collection: Information is extracted directly from the blockchain. This includes transaction history, wallet balances, smart contract interactions, and timestamps.
Data Enrichment: Onchain data is combined with offchain data, such as social media profiles or in-app behavioral signals (e.g., device type), to create richer profiles.
Identity Resolution: Algorithms are used to organize multiple wallets into clusters that likely belong to the same user, creating a more unified persona.
Behavioral Analysis & Segmentation: By analyzing transaction patterns and protocol usage, platforms generate automated labels (e.g., 'DEX Trader', 'NFT Collector') to segment users into meaningful groups without invasive individual tracking.

This comprehensive profiling approach empowers organizations to make informed decisions that drive growth and engagement.

Data Collection and Analysis

Wallet profiling relies on several key data types to enhance user targeting.

Transaction Data: Shows how tokens move between wallets, including sender/recipient addresses and amounts transferred. This helps gauge if influential wallets ('whales') are accumulating or distributing assets.
Block Data: Reveals network health and security through metrics like block rewards, validator details, timestamps, and transaction fees.
Smart Contract Data: Governs how a token functions, including its issuance, staking, and swapping logic. Analyzing this data uncovers the programmed behavior of a digital asset.
Address Activity: Analyzing the behavior of different addresses, such as the number of active wallets or the creation of new ones, helps in understanding user adoption and fund movements.

Integration with Onchain and Offchain Data

Integrating onchain and offchain data enhances wallet profiling by providing a holistic view of user behavior. This process combines blockchain transaction histories with external data sources, such as social media activity and device usage patterns. By enriching onchain data, organizations can gain deeper insights into user preferences and engagement, allowing for precise segmentation. Such comprehensive profiles enable targeted marketing strategies, ultimately improving user experience and retention.

Data Enrichment: Combining on-chain data with off-chain data is becoming a powerful way to enrich blockchain analytics. By combining data from external sources, analysts can create more comprehensive insights.

Best Practices for Effective Wallet Profiling

Effective wallet profiling involves identifying key behaviors and patterns that can enhance user targeting. The following best practices stand out:

Consistent Profitability: Focus on wallets that regularly achieve above-average returns through well-timed trades. This indicates a strategic approach to market movements.
Early Adoption: Identify users who secure positions in promising tokens or projects before they gain mainstream attention. Early adopters often influence broader trends.
Large Capital Deployment: Monitor wallets that conduct high-volume transactions, reflecting significant investment scale. This activity can signal confidence in certain assets.
Sophisticated DeFi Engagement: Pay attention to users utilizing advanced DeFi protocols, such as yield farming, liquidity provision, or complex staking strategies. These activities reveal a deeper understanding of market dynamics.
Strategic Asset Management: Recognize patterns where users accumulate assets during market downturns and distribute them near market peaks. This strategy indicates market savvy and foresight.

By implementing these best practices, organizations can develop more nuanced profiles that lead to improved targeting and engagement strategies, ultimately driving growth in the evolving landscape of Web3 analytics.

Common Mistakes in Wallet Profiling

Common mistakes in wallet profiling can significantly hinder effective user targeting and engagement strategies. Organizations often fall into the trap of over-reliance on Web2 metrics. This focus on vanity metrics, such as clicks and impressions, fails to capture essential on-chain outcomes, including transactions and Total Value Locked (TVL). These metrics do not reflect the complexities of user interactions in a Web3 environment.

Another common error is ignoring the user journey. Web3 users typically engage with content across multiple platforms before executing an on-chain action. By not tracking this multi-stage journey, companies miss crucial insights into user behavior and preferences.

Additionally, data silos pose a significant challenge. Many organizations utilize separate tools for off-chain campaigns, like social media, and on-chain activities, such as airdrops. This separation prevents a holistic view of user performance and behavior, making it difficult to derive actionable insights.

Addressing these mistakes can lead to more effective wallet profiling and improved user targeting strategies.

Enhancing User Targeting with Wallet Profiling

Wallet profiling enhances user targeting by leveraging insights from both onchain and offchain activities. This analytical approach allows organizations to create detailed user profiles, improving the effectiveness of marketing strategies and user engagement. By segmenting users based on their wallet activity, businesses can identify specific behaviors and preferences, leading to more tailored experiences.

Key strategies within wallet profiling include:

Behavioural Segmentation: Users can be categorized by onchain behavior, such as traders, lenders, NFT collectors, or gamers, allowing for targeted communication and offerings.
Predictive Analytics: Analyzing wallet interactions enables platforms to forecast user interests and intentions. This capability supports the design of highly personalized marketing campaigns, increasing the likelihood of user engagement.
Token-Gated Campaigns: Specific wallet profiles can be targeted for initiatives like airdrops, yield farming, or social farming. These campaigns foster community interaction and drive user acquisition through tailored incentives.

By utilizing wallet profiling, organizations not only improve their marketing efficiency but also create a more engaging user experience, ultimately driving growth in the dynamic Web3 landscape. This approach has proven effective in various contexts, such as a DeFi protocol that tracked acquisition channels to identify valuable long-term users.

Future Trends in Wallet Profiling for 2026

Wallet profiling is set to evolve significantly in 2026, driven by advancements in technology and data analytics. Key trends shaping this future include:

Enhanced Bot Detection: Advanced algorithms are being developed to better identify and filter out automated activity, leading to cleaner data.
Real-Time Cross-Chain Tracking: The ability to monitor user activity seamlessly across multiple blockchain networks and Layer-2 solutions.
Wallet-Based Identity Resolution: Connecting multiple wallets to a single user profile while preserving privacy.
Predictive User Lifecycle Modelling: Using AI-driven insights to forecast user behaviour patterns and lifecycle stages.
Social Graph Analytics: Understanding user behaviour and influence through their onchain community interactions and connections.

As the industry matures, there's a shift toward data-driven decision making in marketing. Advanced analytics and AI are being used to segment users and personalize outreach at scale. Blockchain provides transparency and traceability, which marketers can use to refine targeting.

Conclusion: Leveraging Wallet Profiling with Formo

Leveraging wallet profiling with Formo enhances user targeting through several key strategies that integrate onchain and offchain data.

On-chain Attribution: This strategy maps user journeys from web engagement, such as ad clicks, to onchain conversions and transactions, providing a clearer understanding of user behavior.
Wallet Intelligence: By transforming anonymous wallet addresses into detailed personas, teams can analyze user behavior over time, allowing for more informed decision-making.
User Segmentation: This capability enables teams to group users based on criteria such as wallet value, transaction frequency, token holdings, and device type. This precise targeting improves marketing effectiveness and user engagement.
Token-Gated Forms: These forms, surveys, or waitlists are gated by token ownership or other wallet conditions, facilitating user acquisition and qualification.

The combination of these strategies empowers businesses to create more personalized experiences and improve user retention. As organizations adopt these approaches, they can expect enhanced insights into user preferences and behaviors, ultimately driving growth in the evolving landscape of Web3.

Through effective wallet profiling, teams can harness actionable insights that lead to strategic advantages in user engagement and retention efforts.

FAQs

What is the primary goal of wallet profiling in Web3?

The primary goal of wallet profiling is to analyze user activities to create detailed profiles that enhance targeting and personalization, ultimately improving user engagement and retention.

How does wallet profiling differ from traditional Web2 analytics?

Wallet profiling uses blockchain wallet addresses as persistent identifiers, unlike Web2 analytics, which relies on cookies and session data. It also provides real-time insights from public blockchains, enhancing data accuracy and ownership.

What types of data are crucial for effective wallet profiling?

Key data types include transaction data, block data, smart contract data, and address activity, all of which contribute to understanding user behavior and engagement patterns.

What common mistakes should organizations avoid in wallet profiling?

Organizations should avoid over-relying on Web2 metrics, ignoring the user journey, and creating data silos that separate onchain and offchain data, as these can hinder effective targeting strategies.

What future trends are expected in wallet profiling by 2026?

Future trends include enhanced bot detection, real-time cross-chain tracking, wallet-based identity resolution, predictive user lifecycle modeling, and social graph analytics, all aimed at improving user insights and targeting.

Check out these related articles for more information:

Wallet Intelligence - Directly complements wallet profiling by explaining the intelligence layer that powers audience insights and wallet profiles for growth teams.
Comprehensive 360° wallet profiles - Provides an in-depth guide on building complete wallet profiles combining onchain and offchain data, the core methodology discussed in this article.
Segment users - Explains the segmentation process using onchain and offchain data, a key application of wallet profiling mentioned throughout the article.
Onchain user behavior - Deepens understanding of how behavioral data reveals user activity patterns, essential for effective wallet profiling and targeting.
Wallet analytics - Offers comprehensive coverage of wallet behavior analysis and how to unlock growth with onchain data, directly supporting the article's focus.

Top Web3 Analytics Platforms for Marketing Intelligence in 2026

Yos Riady — Tue, 12 May 2026 09:15:07 +0000

Original article: https://formo.so/blog/web3-crypto-analytics-marketing-insights

Key Takeaways

Each platform serves a distinct marketing intelligence use case so teams choosing between cross-chain campaign optimization, community-driven SQL analysis, wallet-based smart money tracking, compliance-focused targeting, or protocol research need to match the tool to their primary goal.
Wallet segmentation by onchain behavior enables targeting that demographic data cannot replicate allowing marketers to reach high-intent users based on verified transaction history, token holdings, and DeFi activity rather than inferred interest signals.
72% of marketing teams struggle to leverage blockchain data effectively making implementation practices like clear objective setting, standardized reporting, and gradual rollouts as important as platform selection itself.

The Web3 landscape requires advanced analytics tools to convert blockchain complexity into actionable marketing insights, essential for optimizing campaigns, lowering acquisition costs, and fostering growth in the decentralized economy.

Introduction to Web3 Analytics for Marketing Intelligence

Web3 analytics platforms interpret on-chain activity, such as transactions, wallet clustering, and smart contract interactions, to enable precise marketing decisions. Unlike traditional analytics reliant on cookies, Web3 analytics utilizes blockchain transparency to provide insights into user behavior and market dynamics.

Web3 analytics fundamentally differ from traditional methods; they monitor wallet addresses, DeFi interactions, NFT trades, and cross-chain activities. This complexity presents challenges, with 72% of marketing teams struggling to leverage blockchain data effectively.

The Web3 analytics market is projected to reach $3.55 billion by 2035, fueled by the rise of decentralized applications and the demand for sophisticated measurement tools. Brands using these platforms can achieve up to 5x higher campaign ROI compared to traditional metrics due to the transparent and immutable data layer of Web3.

1. Formo – Comprehensive Cross-Chain Analytics for Marketing Optimization

Formo is a leading Web3 analytics platform that transforms complex blockchain data into actionable marketing intelligence through an intuitive interface and robust DeFi analytics. It bridges the gap between raw blockchain data and strategic marketing, enabling teams to optimize cross-chain campaigns effectively.

Formo users experience a 40-60% reduction in customer acquisition costs (CAC) and a 25-35% increase in lifetime value (LTV) for DeFi campaigns by identifying high-intent users and optimizing targeting.

Its cross-chain tracking aggregates data from major networks like Ethereum and Polygon, offering a unified view of user behavior. Visual dashboards convert multi-chain interactions into actionable insights for product teams.

Formo uniquely combines on-chain wallet data with off-chain social and web activity, providing a complete view of the customer journey. This holistic approach helps marketers understand how social engagement influences DeFi behavior.

The platform excels in campaign attribution, enabling precise ROI measurement and budget optimization across channels, making it invaluable for growth teams in the Web3 ecosystem. Formo’s user-friendly interface allows non-technical team members to access critical data easily.

2. Dune Analytics – Community-Driven Blockchain Intelligence

Dune Analytics is known for community-driven blockchain analysis, offering powerful SQL-based querying for deep dives into on-chain data. Its collaborative approach allows analysts worldwide to contribute queries and dashboards for marketers.

The query-based system enables customized analysis, which is valuable for marketing teams needing specific metrics. Dune's extensive library of pre-built dashboards covers DeFi metrics and NFT trends, providing immediate access to industry-standard analytics.

Real-time data capabilities allow rapid responses to market changes, with visualization tools transforming complex SQL results into easy-to-understand charts. However, the technical requirements may pose a barrier for some teams, as SQL knowledge is often necessary.

Despite this, Dune remains an essential tool for data-driven Web3 marketing strategies due to the depth of analysis it offers.

3. Nansen – Wallet Intelligence and Market Analysis

Nansen is recognized for wallet intelligence and smart money tracking, featuring a sophisticated wallet labeling system to categorize users, enabling targeted marketing based on on-chain behavior.

Its "Smart Money" tracking feature helps marketers identify wallets of successful traders and institutional players, allowing for campaigns that resonate with high-value segments.

Nansen’s token analysis goes beyond price tracking to include holder distribution and market sentiment indicators, helping teams time campaigns effectively. Its real-time alerts system keeps marketing teams informed of significant market movements and wallet activities.

For DeFi marketing, Nansen provides detailed protocol analytics revealing user acquisition and retention patterns, essential for optimizing strategies.

4. Chainalysis – Enterprise-Grade Compliance and Risk Analytics

Chainalysis delivers enterprise-grade analytics focused on compliance and risk assessment, making it vital for marketing teams in regulated environments. Its compliance-first approach ensures campaigns target legitimate users while avoiding regulatory issues.

The platform analyzes transaction flows to help marketing teams understand user fund movements across platforms, aiding in funnel optimization. Chainalysis’s institutional focus is valuable for B2B marketing, providing the data quality and compliance assurance required by enterprise clients.

Its risk assessment capabilities help avoid targeting problematic addresses, protecting brand reputation while ensuring campaign effectiveness as regulatory scrutiny increases.

5. Messari – Protocol Research and Market Intelligence

Messari is regarded as the Bloomberg of crypto, offering comprehensive protocol research and market intelligence for strategic decision-making. Its combination of quantitative data and qualitative analysis supports informed marketing strategies.

The platform analyzes governance dynamics, development activity, and competitive positioning, enabling marketing teams to understand current performance and future potential. Messari’s research reports provide context for campaigns, enhancing messaging strategies.

Messari's screening tools allow teams to identify emerging protocols and market opportunities, offering significant competitive advantages. Its insights also enhance content marketing efforts, providing authoritative data for engaging narratives.

Key Features to Evaluate in Web3 Analytics Platforms

When selecting a Web3 analytics platform, consider key features:

Cross-chain compatibility: Essential for aggregating data from multiple blockchain networks.
Real-time data processing: Crucial for responsive marketing strategies in fast-moving markets.
User interface design: Intuitive dashboards enhance accessibility for marketing teams.
Integration capabilities: APIs and pre-built integrations accelerate implementation.
Data accuracy and reliability: Robust validation processes ensure trustworthy insights.
Customization options: Tailor analytics to specific metrics and KPIs relevant to your objectives.

Implementation Best Practices for Web3 Marketing Analytics

Effective implementation of Web3 analytics requires strategic planning:

Define objectives: Clearly outline marketing intelligence goals and relevant metrics.
Establish data governance: Set protocols for data validation to ensure consistency.
Invest in training: Educate teams on blockchain concepts to maximize platform value.
Create standardized reporting: Translate blockchain metrics into business-relevant KPIs.
Implement gradual rollouts: Start with core use cases to build competency over time.

Future Trends in Web3 Marketing Analytics

The Web3 analytics landscape is rapidly evolving, driven by technological advancements:

AI integration: Platforms are increasingly using machine learning to predict user behavior.
Privacy-preserving analytics: Techniques like zero-knowledge proofs enable analysis while protecting user privacy.
Multi-modal data integration: Combining on-chain and off-chain data provides comprehensive user profiles.
Real-time personalization capabilities: Adjust campaigns based on immediate on-chain activity for more relevant experiences.
Cross-protocol analytics: Analyze user behavior across entire DeFi ecosystems for strategic insights.

Conclusion

The Web3 analytics landscape offers powerful tools for marketing teams embracing blockchain intelligence. From Formo's cross-chain optimization to Dune's community-driven insights, each platform presents unique strengths.

Success in Web3 marketing analytics relies on strategic implementation, team education, and ongoing optimization. Organizations building Web3 analytics capabilities will be well-positioned to thrive in decentralized markets.

As the Web3 ecosystem matures, analytics platforms will continue to evolve, offering increasingly sophisticated insights. The key is to start building competency with these tools today while maintaining flexibility to adapt to ongoing developments.

The future belongs to marketing teams adept at translating blockchain complexity into strategic advantage. With the right analytics platform and approach, Web3 marketing intelligence can drive growth and competitive differentiation in the decentralized economy.

FAQs

What are Web3 marketing analytics?

Web3 marketing analytics help you understand how your marketing drives onchain results. It works by turning on-chain signals, like transactions and token holdings, and off-chain data, like traffic sources, into actionable insights. This allows you to measure and improve user acquisition and retention. With these insights, you can see which channels bring in valuable users.

What key on-chain metrics should marketers track?

Marketers should track metrics that connect their efforts to onchain results.

Monitor activation with KPIs like first contract interaction rate.
Track engagement through Daily, Weekly, and Monthly Active Users (DAU/WAU/MAU).
Measure success by attributing marketing channels to onchain conversions.
Analyze user value with metrics like Lifetime Value (LTV) by segment.

How do you track on-chain conversions from marketing?

You can track on-chain conversions by linking off-chain touchpoints to on-chain actions. Use UTMs, referral codes, or signatures to connect a user's click from a campaign to a key event like a swap. Attribution models like first-touch or last-touch can then show which channels drive valuable activity. This gives you clear insights to help optimize your marketing.

How can segmentation improve marketing campaigns?

You can use segmentation to deliver more relevant marketing.

Group users by on-chain signals like token holdings or chain preferences.
Combine this with off-chain data like traffic source to create precise audiences.
Target these segments with personalized campaigns.
Measure the results for each segment to see what works and improve your next campaign.

What are the privacy considerations for crypto marketing analytics?

When using crypto analytics, it's important to handle data responsibly. Analytics tools work with public onchain data linked to pseudonymous wallet addresses. If you combine this with personal information, you may need to follow compliance rules like GDPR. Best practices include getting user consent where needed and minimizing data collection.

Explore our full post for dashboards and playbooks.

Complete Guide to Multichain Analytics: Web3 Data Intelligence (2026)

Yos Riady — Mon, 04 May 2026 10:05:11 +0000

Original article: https://formo.so/blog/multichain-analytics-web3-data

Key Takeaways

Multichain user journeys span social discovery, multiple chains, and offchain touchpoints so analytics tools must unify all data sources into a single user profile to avoid making decisions on structurally incomplete information.
Web3 conversion cycles are far shorter than Web2 with users moving from first touch to transaction within a single session, making real-time attribution essential rather than an optional enhancement.
Wallet scoring separates genuine users from bots by analyzing transaction patterns and interaction timing allowing teams to focus retention campaigns and product improvements on authentic high-value users.

Web3 teams face a growing challenge: user data scattered across multiple blockchains, protocols, and touchpoints. While the multichain ecosystem continues expanding, traditional analytics tools struggle to provide the unified insights teams need to build successful products and optimize growth.

The shift from single-chain to multichain ecosystems has fundamentally changed how users interact with Web3 applications. Users might discover your project on Twitter, connect their wallet on Ethereum, interact with your protocol on Base, and complete transactions on Arbitrum—all in a single journey. Without unified multichain data analytics, teams miss critical user insights and make decisions based on incomplete information.

Modern onchain builders need analytics platforms purpose-built for the multichain reality. These tools combine real-time data processing, unified user profiles, and privacy-first architecture to deliver actionable insights across the entire user journey. This guide explores the key features of web3 analytics tools, real-world applications across team functions, and how to choose the right platform for your crypto project.

The Multichain Challenge: Why Web3 Teams Need Unified Data

Tracking user journeys across multiple chains creates unprecedented complexity for Web3 teams. A single user might interact with your project through five different touchpoints: social media discovery, website visits, wallet connections, cross-chain transactions, and community engagement. Traditional analytics tools capture fragments of this journey, leaving teams with incomplete user insights.

Fragmented data leads to poor decision-making across all team functions. Product teams can't identify which features drive retention when user activity spans multiple chains. Marketing teams struggle to prove ROI when conversions happen onchain while attribution data stays offchain. Engineering teams build features without understanding how users actually navigate multichain experiences.

The Web3 ecosystem now includes over 40 active EVM chains and hundreds of protocols. Cross-chain transaction volume has grown exponentially, with users moving seamlessly between networks to optimize gas costs, access liquidity, and utilize different protocol features. This multichain reality demands analytics tools that can unify data across all touchpoints and provide real-time insights.

Real-time attribution becomes critical when users complete high-value actions within minutes of discovery. Unlike Web2 where conversion cycles span days or weeks, Web3 users often move from first touch to transaction in single sessions. Teams need instant insights to optimize growth strategies and capitalize on market opportunities.

Essential Features of Modern Onchain Analytics Tools

Real-Time Data Processing and Attribution

Instant insights enable growth optimization when market conditions change rapidly. Modern analytics platforms process onchain transactions as they happen, connecting user actions across platforms within seconds. This real-time processing allows teams to identify trending features, track viral campaigns, and respond to user behavior patterns immediately.

Cross-platform tracking connects social media discovery to wallet interactions seamlessly. Analytics tools now integrate data from Twitter, Discord, Farcaster, and other Web3 social platforms with onchain activity. Teams can see how users move from social engagement to product usage, enabling precise measurement of community-driven growth.

First-touch and last-touch attribution models help marketing teams allocate spend effectively. First-touch attribution identifies which channels drive initial discovery, while last-touch attribution shows which touchpoints convert users. Advanced platforms offer linear attribution models that credit all touchpoints in the user journey, providing comprehensive campaign performance insights.

Unified User Profiles and Wallet Intelligence

Modern tools create 360° wallet profiles combining onchain and offchain data sources. These profiles include transaction history, DeFi positions, NFT holdings, social connections, and behavioral patterns. Teams can segment users based on wallet activity, engagement levels, and value potential rather than relying on traditional demographic data.

Wallet scoring distinguishes real users from bots using onchain behavior analysis. Sophisticated algorithms analyze transaction patterns, interaction timing, and network activity to assign credibility scores. This scoring helps teams focus retention efforts on genuine users and optimize campaigns for authentic engagement.

Wallet labeling and segmentation enable precise targeting based on user behavior. Analytics platforms automatically label wallets as "DeFi power user," "NFT collector," or "protocol native" based on transaction patterns. Teams can create dynamic audiences that update in real-time as user behavior evolves.

Social profile integration connects wallet addresses to ENS names, Twitter handles, and Farcaster profiles. This integration helps teams understand their community composition and engage users through appropriate channels. Product teams can also personalize experiences based on social identity and community connections.

Privacy-First Analytics Architecture

Privacy-compliant data collection eliminates third-party cookies and fingerprinting while maintaining analytical depth. Modern platforms use first-party data collection methods that respect user privacy and comply with global regulations. Users maintain control over their data sharing preferences without sacrificing product experience.

Data ownership models ensure users retain control over their information. Analytics platforms implement consent management systems that allow granular control over data sharing. Teams access aggregated insights while individual user data remains protected and can be deleted upon request.

Regulatory compliance covers GDPR, CCPA, and emerging Web3 privacy standards. Platforms maintain compliance through privacy-by-design architecture, automated consent management, and regular third-party audits. This compliance protects both users and teams from regulatory risks.

Formo's Approach to Multichain Analytics

Formo leads the Web3 analytics space by providing unified, real-time insights specifically designed for onchain teams. The platform supports over 40 EVM chains including Ethereum, Base, Arbitrum, Polygon, and emerging networks like Sonic and Unichain. This extensive chain support ensures teams can track user activity across the entire multichain ecosystem.

Integration capabilities include comprehensive SDK support, REST APIs, and webhook systems. Teams can implement Formo tracking in minutes without extensive development resources. The platform integrates with existing tools including Slack, Google Sheets, and popular BI platforms, ensuring seamless workflow integration.

Key differentiators include the industry's easiest setup process and no-SQL interface. Product managers and marketers can create custom dashboards, analyze user segments, and generate reports without technical expertise. This self-serve approach democratizes analytics access across entire organizations.

The Ask AI feature provides agentic analytics that surface insights automatically. The AI system identifies anomalies, recommends optimization opportunities, and answers complex questions about user behavior. Teams can ask natural language questions like "Which acquisition channels drive the highest lifetime value users?" and receive instant analysis with supporting data.

Customizable dashboards adapt to each team's specific needs and metrics. Teams can track everything from basic engagement metrics to complex multichain user journeys. Real-time alerts notify teams when high-value users take important actions or when key metrics deviate from expected ranges.

Real-World Applications Across Team Functions

Product Teams: Optimizing User Experience

Track feature adoption across different wallet segments to guide development priorities. Product teams can see which features resonate with DeFi natives versus crypto newcomers, enabling targeted feature development. This segmentation reveals usage patterns that inform product roadmap decisions and resource allocation.

Measure engagement across user onboarding funnels to reduce drop-off rates. Teams can identify where users struggle during wallet connection, transaction approval, or first-time feature usage. This insight enables targeted improvements that increase activation rates and long-term retention.

Analyze user behavior patterns to predict churn and implement retention strategies. Advanced analytics reveal early warning signals when users disengage, allowing proactive intervention. Teams can create automated campaigns or product experiences that re-engage at-risk users before they churn completely.

Marketing Teams: Proving ROI and Lowering CAC

Connect campaign performance to actual product usage and onchain activity. Marketing teams can measure true conversion rates beyond simple clicks or sign-ups. This connection proves which campaigns drive users who actually engage with the product and complete valuable actions.

Measure conversion rates from discovery to meaningful onchain actions. Teams can track users from first social media interaction through wallet connection to first transaction. This end-to-end measurement enables precise calculation of customer acquisition costs and lifetime value.

Optimize spend allocation based on user lifetime value analysis. Analytics reveal which channels attract users with higher retention rates and transaction volumes. Marketing teams can shift budget toward channels that drive sustainable growth rather than vanity metrics.

Engineering Teams: Data-Driven Development

Implement event-based tracking for comprehensive funnel analysis. Engineering teams can instrument their applications to capture every user interaction, from button clicks to transaction completions. This granular tracking enables precise identification of technical issues and optimization opportunities.

Set up real-time alerts for high-value user actions and system anomalies. Teams receive instant notifications when VIP users encounter errors or when transaction success rates deviate from baselines. These alerts enable rapid response to technical issues that impact user experience.

Maintain data pipeline health through robust APIs and integration monitoring. Analytics platforms provide debugging tools and data quality dashboards that help engineering teams ensure accurate tracking. This reliability foundation ensures all team decisions are based on trustworthy data.

The Competitive Landscape: Choosing the Right Platform

The multichain analytics market includes several major players, each with different strengths and limitations. Dune Analytics provides powerful SQL-based querying but requires technical expertise and doesn't offer real-time insights. Nansen focuses on wallet intelligence but lacks comprehensive product analytics features.

Traditional Web2 analytics tools like Mixpanel and Amplitude have attempted to adapt for crypto use cases but struggle with wallet-based identity and cross-chain tracking. These platforms weren't designed for the unique challenges of Web3 user journeys and often provide incomplete insights.

Formo stands out as the only platform purpose-built for Web3 teams that combines ease of use with comprehensive multichain capabilities. The platform's no-SQL interface makes it accessible to entire teams, while advanced features satisfy technical requirements.

Key evaluation criteria include chain support breadth, integration simplicity, privacy compliance, and pricing transparency. Teams should prioritize platforms that support their current chains with clear expansion roadmaps. Integration complexity often determines adoption success, making ease of implementation crucial.

Purpose-built Web3 analytics consistently outperform adapted traditional tools because they understand Web3-specific challenges. Wallet-based identity, cross-chain transactions, and community-driven growth patterns require specialized approaches that traditional platforms cannot provide.

Success Stories: Growth Through Data-Driven Insights

A leading DeFi protocol increased user retention by 40% using wallet segmentation capabilities. The team discovered that users with specific onchain activity patterns were 3x more likely to become long-term protocol users. They created targeted onboarding experiences for these high-value segments, resulting in significantly higher retention rates.

The protocol implemented automated engagement campaigns for users showing early signs of churn. By analyzing wallet activity patterns and transaction frequency, they identified users likely to disengage within 30 days. Personalized re-engagement campaigns helped recover 60% of at-risk users.

A Web3 gaming project reduced customer acquisition cost by 25% through proper attribution tracking. The team discovered their most effective acquisition channel was community referrals rather than paid advertising. They shifted budget allocation toward community incentives and referral programs, maintaining user growth while dramatically reducing CAC.

The gaming project also optimized their feature release strategy using user behavior analytics. By tracking which in-game actions correlated with higher retention and spending, they prioritized development resources toward features that drove long-term engagement rather than short-term metrics.

Looking Ahead: The Future of Multichain Analytics

Cross-chain data standardization will simplify analytics implementation as the ecosystem matures. Industry-wide standards for user identity and transaction formatting will reduce integration complexity and improve data accuracy. This standardization will enable more sophisticated analysis and easier platform switching.

AI and machine learning will uncover hidden patterns in user behavior that human analysts miss. Advanced algorithms will identify subtle signals that predict user lifetime value, churn risk, and feature adoption. These insights will enable more precise user targeting and product optimization.

Real-time collaborative analytics will become standard as teams require instant insights for rapid decision-making. Platforms will offer shared dashboards, automated insight distribution, and AI-powered recommendations that keep entire teams aligned on key metrics and opportunities.

Privacy-preserving analytics will advance through zero-knowledge proofs and homomorphic encryption. Teams will access detailed user insights while mathematical guarantees protect individual privacy. This advancement will satisfy regulatory requirements while enabling comprehensive analytics.

Building Your Data-Driven Web3 Strategy

Unified multichain analytics has become essential for modern Web3 teams seeking sustainable growth and user retention. The complexity of tracking users across multiple chains, protocols, and touchpoints demands purpose-built analytics platforms that can provide real-time insights while respecting user privacy.

Teams that implement comprehensive analytics gain competitive advantages through data-driven decision making, optimized user experiences, and efficient resource allocation. The investment in proper analytics infrastructure pays dividends across all team functions, from product development to marketing optimization.

Start your analytics journey by identifying your team's specific tracking needs and evaluation criteria. Consider factors like chain support, ease of implementation, privacy compliance, and team accessibility. The right platform should grow with your project and adapt to the evolving multichain landscape.

Ready to unlock the power of unified multichain analytics? Explore Formo's platform with a free trial and experience purpose-built analytics for Web3 teams. Access our implementation guides and best practices to accelerate your analytics setup and start making data-driven decisions today.

FAQs

What is the best multichain analytics platform?

Formo leads the multichain analytics space with support for 40+ EVM chains, real-time data processing, and a no-SQL interface that makes analytics accessible to entire teams. The platform combines comprehensive chain coverage with ease of use, making it the top choice for Web3 teams seeking unified insights.

How to track users across multiple blockchains effectively?

Effective multichain user tracking requires unified user profiles that combine wallet addresses with behavioral data across all chains. Use analytics platforms that create persistent user identities based on wallet connections and can track cross-chain transactions in real-time. Implement consistent event tracking across all your applications to maintain data continuity.

Do I need technical expertise to implement multichain analytics?

Modern platforms like Formo are designed for non-technical teams with no-SQL interfaces and simple integration processes. While technical implementation may require developer resources initially, day-to-day analytics usage should be accessible to product managers, marketers, and other team members without coding expertise.

How do multichain analytics handle user privacy compliance?

Leading platforms implement privacy-by-design architecture with first-party data collection, user consent management, and no third-party tracking. They comply with GDPR, CCPA, and emerging Web3 privacy standards while providing comprehensive analytics insights. Users maintain control over their data sharing preferences.

What metrics should Web3 teams track across multiple chains?

Focus on user journey metrics like acquisition channels, wallet connection rates, cross-chain transaction patterns, feature adoption, and retention cohorts. Track both user-level metrics (lifetime value, engagement frequency) and protocol-level metrics (transaction volume, unique users, revenue). Advanced teams should also monitor wallet intelligence signals like user segments and behavioral patterns.

Top Web3 CRMs of 2026 with Advanced Analytics Features

Yos Riady — Mon, 04 May 2026 09:34:09 +0000

Original article: https://formo.so/blog/best-web3-crms-analytics

Key Takeaways

Web3 CRMs differ from traditional CRMs by tracking wallet addresses and onchain behavior rather than email addresses and form submissions, making them purpose-built for pseudonymous blockchain-based customer relationships.
Platform selection should match the primary use case since wallet intelligence and attribution, blockchain transaction analytics, long-term relationship management, and audience behavior analysis each call for a different tool.
Identity resolution links wallet addresses to community channels like Discord and Telegram allowing CRM systems to build unified customer profiles that span both onchain activity and offchain engagement.

The Web3 landscape is evolving, necessitating CRMs adept in blockchain interactions, wallet tracking, and decentralized data management. Selecting a Web3 CRM with strong analytics is crucial as the CRM market is projected to reach $114.4 billion by 2027. This guide reviews the top Web3 CRM platforms for 2026, emphasizing their analytics features and wallet intelligence capabilities.

How We Ranked the Best Web3 CRMs

Our ranking methodology blends extensive market research with performance data to identify effective Web3 CRM solutions. Evaluating multiple aspects of platform performance, we prioritized those demonstrating clear value delivery in the Web3 context, recognizing that CRM systems yield an average ROI of $8.71 for every dollar spent.

The evaluation also incorporates feedback from Web3 companies, blockchain developers, and marketing professionals, alongside market data like adoption rates and customer satisfaction scores. We consider how emerging trends, such as AI and blockchain convergence, affect each CRM's long-term viability.

Ranking Factors

Our ranking system assesses Web3 CRMs across several key dimensions:

Data Privacy: Essential due to the sensitive nature of wallet and transaction data.
Scalability: Important as scalability, security, and regulation shape Web3's evolution.
Analytics Features: Focus on wallet tracking, user attribution, and on-chain behavior analysis.
Integration Ease: Compatibility with existing Web3 infrastructure, including DeFi protocols and NFT marketplaces.
User-Centric Features: Intuitive interfaces and automation capabilities are crucial, especially since 61% of companies plan to add AI to their CRM within three years.
Security Measures: Robust frameworks to handle complex Web3 identity management.
Development Velocity: Ability to adapt to the rapidly changing Web3 landscape.

Data Sources and Process

Our evaluation employs various authoritative data sources, including direct platform testing, user interviews, and case studies from diverse Web3 sectors. We assess feature mapping against Web3-specific needs, performance testing, and integration capabilities with popular tools and protocols.

Market validation is reinforced through competitive analysis and user feedback synthesis. We also consider how governments and enterprises are integrating blockchain for identity verification, ensuring recommended CRMs support emerging use cases. The final ranking reflects a weighted score across all criteria, prioritizing analytics and Web3-native features.

#1 Formo: Wallet Intelligence and Attribution

Formo ranks as the leading Web3 CRM, excelling in wallet intelligence and user attribution, transforming complex on-chain data into actionable business insights. This platform is ideal for companies seeking in-depth visibility into their Web3 customer journeys.

Key Features:

Comprehensive Wallet Analytics: Understand engagement patterns, transaction histories, and cross-protocol interactions.
User Attribution System: Trace customer journeys from wallet connection through multi-protocol interactions.
Real-Time Analytics Dashboards: Monitor key engagement metrics with alerts for significant behavior changes.
Advanced Segmentation Tools: Create targeted customer groups based on wallet activity and preferences.

Best For: Web3-native companies, DeFi protocols, NFT marketplaces, and blockchain gaming platforms needing sophisticated analytics and attribution capabilities.

Comparison: Formo outperforms competitors with its comprehensive wallet intelligence and predictive analytics, providing superior data visualization and reporting. Users appreciate its seamless integration with Web3 tools, although some note a learning curve for advanced features.

#2 Holder: Blockchain CRM and Wallet Tracking

Holder secures the second spot through robust blockchain integration and wallet tracking, providing detailed wallet behavior insights vital for companies focused on on-chain analytics.

Key Features:

Comprehensive Wallet Performance Tracking: Understand customer on-chain behavior through transaction patterns and token movements.
Security Measures: Implement advanced privacy-preserving analytics that protect sensitive wallet data.
Customizable Dashboards and Alerts: Stay informed about wallet behavior changes and market conditions.

Best For: Cryptocurrency exchanges, DeFi protocols, and blockchain-based financial services needing deep analytics and wallet tracking.

Comparison: Holder excels with its focus on blockchain analytics, offering deeper insights than general-purpose CRMs. Some users find its specialized focus limits broader CRM functionality, which is addressed by strategic integrations with popular business tools.

#3 Absolute Labs: Wallet Relationship Management

Absolute Labs specializes in wallet relationship management, providing tools for businesses to engage with their blockchain-based customers effectively.

Key Features:

Wallet Performance Metrics: Analyze engagement patterns and transaction behaviors for optimizing relationship strategies.
Customer Engagement Analytics: Understand how wallet holders interact with products and services across touchpoints.
Advanced Performance Analysis Tools: Support strategic business planning through insights into customer lifetime value and retention rates.

Best For: Companies that prioritize long-term customer relationships, such as Web3 gaming firms, NFT creators, and community-driven platforms.

Comparison: Absolute Labs differentiates itself by focusing on relationship management rather than just analytics. User insights highlight its effectiveness in improving retention rates and identifying engagement opportunities, though some may require additional tools for comprehensive business intelligence.

#4 Cookie3: Analytics for CRM Audiences

Cookie3 offers an innovative analytics platform tailored for CRM audiences in the decentralized ecosystem, focusing on audience insights and behavioral analytics.

Key Features:

Audience Behavior Analysis: Build comprehensive profiles based on interactions across blockchain networks.
Customer Experience Analytics: Measure how audiences engage with various platforms within the Web3 ecosystem.
Advanced Engagement Metrics: Identify high-engagement audiences and retention patterns to enhance customer loyalty.

Best For: Digital marketing agencies, content creators, and community-driven platforms needing deep audience analytics.

Comparison: Cookie3 stands out for its focus on audience-specific analytics, providing insights into Web3 behaviors that general-purpose platforms often miss. Users value its ability to recommend targeted engagement strategies, though additional tools may be needed for a complete CRM solution.

How to Choose the Right Web3 CRM

Selecting the right Web3 CRM requires evaluating your business model, technical needs, and customer engagement strategies. Begin with an assessment of your current customer data infrastructure and Web3-related challenges.

Match Stack to Community Channels

Align your CRM technology with community engagement channels such as Discord, Telegram, and Twitter. The chosen platform should integrate seamlessly with these channels to provide unified customer views.

Plan Data Model and Identity

Develop a comprehensive data model that accommodates the fluid nature of Web3 identities while maintaining privacy and compliance. Ensure the CRM can link related activities without compromising user preferences.

Check Security and Compliance

Security and compliance verification are essential for selecting a Web3 CRM. Ensure the platform can adapt to evolving regulations while maintaining robust security standards. Regular audits and privacy-by-design principles should be standard practices for any chosen CRM.

FAQs

What's the best Web3 CRM from Web3 analytics companies?

The best Web3 CRM depends on specific use cases; Formo leads with wallet intelligence, while Holder excels in blockchain-specific analytics.

How do I unify wallets with emails or socials in a CRM?

Implement identity resolution strategies with API integrations linking wallets to traditional identifiers while respecting user privacy.

How do I measure on-chain attribution for campaigns?

Track user wallet interactions with smart contracts and analyze conversion paths using tracking parameters and advanced CRM attribution modeling.

What if most of my operations run in Telegram?

Prioritize CRMs with Telegram integration that track user interactions and automate engagement workflows within your Telegram community.

10 Best Web3 Community Tools to Boost Engagement

Yos Riady — Mon, 04 May 2026 09:06:04 +0000

Original article: https://formo.so/blog/web3-community-tools

Key Takeaways

Web3 community tools span five distinct categories covering messaging, data collection, social platforms, quest and reward gamification, and token-gated access management, each serving a different engagement goal.
Spreading moderation across too many platforms weakens community presence so teams should build depth on one or two core platforms that match their audience before expanding elsewhere.
Real engagement means members return and contribute without incentive so tracking long-term contributor retention matters more than quest completion rates or airdrop participation counts.

Unlike Web2, where companies create and users consume, Web3 communities actively build, govern, and propel projects forward. Community engagement is important for driving decentralization, privacy, and innovation, making the right tools critical for building, engaging, and sustaining thriving Web3 communities. This article is for Web3 operators on the frontlines: founders, CMOs, DAO leaders, and marketers managing chaotic group chats, contributor burnout, and spam attacks. Here’s a look at the top 10 Web3 community tools that help you foster dynamic, member-driven spaces to achieve product-market fit.

Web3 community tools are the key to fostering active participation and growth

What is a Web3 Community?

A Web3 community is a group of people interested in cryptocurrencies and blockchain who connect through forums, social media, meetups, and conferences.

Unlike Web2 communities, which are often led by a single creator, Web3 communities share digital ownership through blockchain-secured tokens, transforming users into active stakeholders.

A vibrant Web3 community fosters collaboration, sparks creative solutions to challenges, and often drives groundbreaking innovations. Communities have driven most major Web3 breakthroughs.

Challenges for Web3 Community Manager

Web3 audiences are more privacy-aware and value-driven. Managing them requires transparent governance, onchain incentives, and tools for token-gating and verified communication.

As a Web3 community manager, promoting a DAO or NFT project means more than just generating buzz; it requires building sustainable, ongoing participation. Web3 audiences focus deeply on decentralization, privacy, and technical expertise, so engaging them requires transparent communication, meaningful involvement, and value propositions that resonate with these values.

Top 10 Web3 Community Tools List

Investing in the right tools is key if your community engagement feels lacking. Here are the best 10 Web3 Community tools free in 2024:

Category	Tool	Best For
Messaging	Discord	Large, interactive communities
Messaging	Telegram	Privacy-focused groups
Analytics	Formo	Onchain surveys & data
Social	Twitter (X)	Broad Web3 engagement
Social	Warpcast	Decentralized discussions
Social	Phaver	Incentivized engagement
Gamification	Galxe	Running reward quests
Gamification	Layer3	New user onboarding
Access	Guild	Token-gated membership
NFTs	Zora	NFT-powered community experiences

Messaging platforms

1. Discord

Discord has emerged as a hub for Web3 projects, offering community-building, communication, and collaboration features aligned with the decentralized ethos of Web3.

Best for: Large, engaged communities seeking extensive communication features.

Discord offers text, voice, and video communication, widely used for Web3 community building

Pros:

Dependable for instant messaging.
Offers a variety of features for Web3 community building.

Cons:

Video conferencing is unreliable.
Free servers have limits on file uploads.

2. Telegram

Telegram has evolved from a messaging app into a vital platform for Web3 interactions, supporting integration with the TON (Telegram Open Network) and Mini Apps — web apps that function within Telegram for seamless user experiences.

Best for: Privacy-focused communities looking for end-to-end encryption.

Telegram supports groups and bots, enabling real-time community discussions and updates

Pros:

End-to-end encryption.
Privacy-focused, minimal data collection.

Cons:

Not ideal for managing large communities.
Difficult to track specific conversations.

Data Collection & Analytics

3. Formo

Formo is designed for Web3 product and marketing teams to collect feedback using onchain data insights, engaging members with tailored experiences.

Best for: Collecting community data and onchain analytics.

Formo helps Web3 teams create token-gated surveys and collect feedback from verified members

Pros

Web3-specific data collection.
Seamless integration with onchain data.
User-friendly interface for non-technical users.

Cons

Limited to Web3-specific use cases.

Social platforms

4. Twitter (X)

With over 500 million active users, X provides a vast audience for Web3 projects, enabling live discussions and connection with Web3 enthusiasts.

Source: How Many People Use Twitter (X) – Active Users 2025 Stats.

Best for: Broad engagement with a large Web3 audience.

X serves as a primary channel for crypto enthusiasts and project announcements

Pros:

Large, active Web3 community.
Many Web3 influencers are available for collaboration.

Cons

A crowded platform, not easy to stand out and maintain engagement.
The 280-character limit restricts in-depth discussions.

5. Warpcast (Farcaster)

Warpcast’s (Farcaster) decentralized network integrates social media with blockchain technology, offering users data control and a secure space for authentic discussions.

Best for: Privacy-centric, tech-savvy audiences focused on data control.

Warpcast (Farcaster) is a decentralized social media that gives users control over their interactions

Pros

Privacy-centric with user-controlled data.
Compatible with the Farcaster protocol for Web3 communities.

Cons

Limited to Web3-savvy audiences.
Smaller user base than mainstream platforms.

6. Phaver

Phaver is a Web3-based social network that rewards users for engagement, capturing the majority of Lens protocol posts and making it a prominent app on Farcaster. To date, Phaver’s app has received more than +550k downloads.

Source: Phaver (SOCIAL): User-Centric Social Media in a Web3 World

Best for: Communities incentivizing user engagement through rewards

Phaver combines decentralization with user-friendly social media features

Pros

Rewards incentivize engagement.
Supports community-driven growth models.

Cons

Learning curve for non-Web3 users.
Requires understanding of token economics.

Gamification/Quest/Reward tools

7. Galxe

Galxe is a platform designed to help Web3 communities engage their audiences through quests, rewarding users for participating in onchain activities.

Best for: Web3 communities seeking higher engagement and retention

Galxe supports Web3 projects in building engaged communities through quests

Pros

Drives user engagement and loyalty.
Easily customizable quest mechanics.

Cons

Quest structures are complex.
Engagement may vary with reward quality.

8. Layer3

Layer3 employs gamification to drive community engagement, using quests to streamline onboarding for dApps.

Best for: Onboarding and engaging new users in dApps.

Layer3 is a gamified platform designed to facilitate community engagement and user onboarding

Pros

Simple navigation and accessible UI.
Tracks engagement and incentivizes participation.

Cons

Limited variety of tasks.
Advanced features can be costly.

User Acquisition Tools

9. Guild

Guild is a platform for building token-gated communities, providing secure access to channels, events, and perks based on token ownership.

Best for: Token-based communities requiring gated access.

Guild.xyz is known for facilitating automated membership management for communities

Pros

Supports secure, token-based access control.
Highly customizable for different token types.

Cons

Requires token management expertise.
Limited adoption outside Web3.

10. Zora

Zora enables communities to create and share unique NFT experiences, perfect for commemorative events, contributions, or collaborations within Web3.

Best for: Event-driven communities rewarding participation with NFTs.

Zora is designed for creators to tokenize and sell their digital assets, primarily through NFTs

Pros

Engages attendees in community activities.
Supports creator royalties for ongoing revenue.

Cons

Requires some technical knowledge.
Limited appeal for users new to NFTs.

Real-World Example: Using Formo + Galxe

Imagine launching a wallet incentive campaign:

Use Formo’s Web3 Forms to collect wallet addresses via a token-gated form with feedback questions.
Sync responses to Galxe and reward users for submitting feedback by completing an onchain quest.
Participants claim NFTs or governance tokens via Galxe.

Learn more: Formo Docs

Where to Build a Web3 Community?

A common mistake new projects make is trying to build everywhere at once. Spreading moderators across Discord, Telegram, Farcaster, and more leads to burnout and weakens your presence. Instead, pick one or two core platforms that align with your audience and goals.

Focus efforts where they count:

Discord: Best for structured, permissioned communities (NFTs, DAOs).
Telegram: Good for fast, DeFi-centric updates.
Farcaster: Growing for meaningful crypto-native discussion.

Building Real Web3 Community Engagement

Top Web3 communities don’t chase noise—they build resonance. If people only show up for contests or allowlists, they’re not truly engaged. Real engagement means members return on their own, contribute naturally, and build trust with each other.

What’s working now:

Live contributor calls: Weekly/bi-weekly working sessions. Make them participate, such as reviewing proposals, highlighting progress, and unblocking contributors.
Token-gated access to builders: Provide limited office hours or casual dev chats. Unfiltered access to the team is still high-value.
Curated discussion prompts: Seed relevant, thought-provoking topics 1–2x/week. Highlight good takes. Avoid generic crypto chatter.
Community-led programming: Let active members host sessions—tool demos, spotlights, market recaps. Rotate hosts. Keep it structured, not scripted.

Show people that their contributions matter. Track who sticks around and shout out to contributors. Celebrate progress. A simple “this person crushed it” builds more loyalty than any points system ever will.

Strategies for Web3 community engagement

Strategy	Description
Clear Communication	Use tools like Formo to collect feedback & run AMA forms
Co-creation	Let members shape the roadmap via surveys
Incentives	Offer token/NFT-based rewards
Partnerships	Cross-promote with DAOs and NFT projects
Social Media Presence	Regular posts on X, Warpcast, and Discord updates

While tools are critical, strategic engagement tactics also play a role in building thriving Web3 communities:

Clear communication: Articulate the vision of your Web3 community in clear, accessible language.
Partnerships: Collaborate with other Web3 communities for cross-promotion and improved engagement.
Co-creation: Involve members in the development of projects, using tools like Formo to gather feedback and ideas.
Incentives: Offer crypto tokens or NFTs as rewards for contributions, motivating active participation.
Social Media Presence: Maintain an active presence on platforms such as Twitter and Warpcast to share updates, spark discussions, and engage with relevant audiences.

Web3 communities are at the heart of the ecosystem, critical for governance, innovation, and growth. As blockchain adoption grows, these communities will only become more vibrant and effective. Web3 community tools such as Formo provide distinct advantages with token-gated forms, onchain analytics, and wallet address verification.

Further source:

FAQs

What are Web3 community tools?

Web3 community tools help you manage and grow your onchain community. They use blockchain features to offer role-based access, token-gated channels, and on-chain quests. By using these tools for analytics and automation, you can increase user engagement and retention.

How does token-gating work?

Token-gating restricts access to content based on the tokens a user holds in their wallet. You can use it to create exclusive channels in Discord or Telegram, or to limit access to parts of your site. Common use cases include holder-only channels, beta access for early supporters, and premium content for top token holders.

How do on-chain quests and bounties work?

On-chain quests and bounties drive engagement by rewarding users for completing specific tasks. These tasks can include minting an NFT, making a swap, or voting on a proposal. In return, users can earn points, badges, or other onchain rewards.

How do you measure community engagement in Web3?

Measure engagement by tracking key community analytics on a dashboard.

Look at metrics like daily and weekly active members and participation rates in polls.
Monitor quest completion rates and referral invites to understand community health.
Segmenting this data by user roles or token holdings gives you deeper insights.

How can I use automation to manage my community?

You can use automation to streamline community management.

Set up welcome flows for new members and celebrate user milestones.
Send re-engagement nudges to inactive users and automatically update roles based on onchain activity.
Reach users on their preferred channels, but make sure your messages are relevant and provide clear opt-out controls.

Boost dApp Growth with the Best Web3 Analytics Replacement for Google Analytics

Yos Riady — Mon, 04 May 2026 08:47:03 +0000

Original article: https://formo.so/blog/web3-analytics-google-analytics-replacement

Key Takeaways

Google Analytics cannot track wallet connections, smart contract calls, or token transfers making it structurally blind to the core conversion events that determine whether a dApp is actually growing.
Wallet addresses persist across devices and browser resets unlike cookies so Web3 analytics tools preserve attribution for referral campaigns and acquisition channels even when users switch environments.
Platform choice depends on the trade-off between Web3 depth and data sovereignty with full-featured wallet analytics, self-hosted privacy control, and lightweight cookieless tracking each serving different team priorities.

The best Web3 analytics replacement for Google Analytics combines on-chain event tracking with web metrics to track wallet connections, smart contract interactions, and token activity, giving dapp teams wallet-level lifecycle, acquisition, and retention insights for growth.

Why Traditional Google Analytics Falls Short for Dapps

Google Analytics was built for centralized Web2 apps and cannot capture core Web3 interactions—wallet connections, smart contract calls, or token transfers—creating blind spots in Dapp user journeys and growth metrics. Traditional identification relies on cookies and emails, whereas Web3 uses pseudonymous wallet addresses and blockchain events.

As experts note, "Web3 analytics blends on-chain events with web data for deeper insights," underscoring the need for tools that bridge both worlds. Web2 vs. Web3 tracking contrasts:

Web2 Analytics	Web3 Analytics
User IDs: Cookies, emails	Wallet addresses
Conversions: Purchases, form fills	Token transactions, smart contracts
Data storage: Centralized servers	Decentralized, blockchain-based
Privacy model: Platform-controlled	User-controlled, consent-based

Because of these differences, Google Analytics cannot provide wallet-level insights, token gating, or on-chain event tracking required to optimize product and marketing strategies for decentralized apps.

Essential Features of Web3 Analytics Tools

A true Google Analytics replacement for Web3 must offer wallet-level analytics, token gating, on-chain event tracking, privacy and sybil defenses, role-specific dashboards, and advanced segmentation—features that together reveal the complete crypto user lifecycle.

Wallet-level analytics: Track behavior across sessions and multiple wallets to measure CAC, LTV, revenue, and retention.
Token gating: Enforce access or personalization based on NFT/token ownership.
On-chain event tracking: Capture smart contract interactions, token transfers, and blockchain events missed by Web2 tools.
Privacy & sybil defense: Protect data integrity and filter fake accounts (as emphasized: "Sybil defense is a key aspect emphasized in Web3 analytics to ensure data integrity").
Role-specific dashboards: Deliver focused views for marketing, product, and executives.
Advanced segmentation & cohorts: Group users by wallet behavior, holdings, or interaction patterns for targeted campaigns and retention analysis.
On-chain/off-chain unification: Combine blockchain data with web metrics for full-funnel measurement.

In-Depth Comparison of Top Web3 Analytics Platforms

The Web3 analytics landscape includes specialized and privacy-first solutions; choose based on wallet intelligence, privacy needs, and integrations.

Platform	Key Strengths	Best For	Limitations
Formo	Comprehensive wallet analytics, token gating	Full-featured Dapp analytics	Premium pricing
Matomo	Privacy-focused, self-hosted	Data sovereignty needs	Limited Web3 features
Fathom	Lightweight, cookieless	Simple tracking needs	Basic functionality

Each platform addresses different trade-offs—from deep on-chain marketing analytics to self-hosted data control and minimal, privacy-centric tracking.

Formo – Comprehensive Wallet-Level Insights and Token Gating

Formo is built specifically for Web3 growth analytics, tracking wallet-level CAC, LTV, revenue, and retention to surface the crypto user lifecycle. Role-specific dashboards speed product and marketing decisions, while Customer 360 profiles unify on-chain and off-chain data for richer user intelligence.

Formo supports token-gated forms on Ethereum and Solana, enabling segmentation by token ownership, and integrates with Zapier and World ID. Automated wallet tracking removes manual UTM management for referral campaigns, preserving attribution when users switch devices or clear cookies.

Matomo – Open-Source and GDPR-Compliant Analytics

Matomo is a privacy-first, open-source alternative offering full GDPR and CCPA compliance and self-hosting for teams that require data sovereignty. It excels at customization and regulatory controls aligned with Web3 principles but may lack dedicated wallet-level analytics and blockchain event features found in specialized tools. Self-hosting also increases setup and maintenance overhead for non-technical teams.

Fathom Analytics – Lightweight and Privacy-Centric Solution

Fathom provides cookieless, easy-to-deploy analytics focused on core website metrics with strong privacy protections—ideal for early-stage Dapps that need quick insights without complexity. Its lightweight nature makes implementation fast, but it lacks advanced wallet analytics and on-chain event tracking necessary for deeper Web3 growth analysis.

Key Factors to Consider When Choosing a Web3 Analytics Solution

Evaluate platforms against technical, privacy, and integration needs:

Wallet analytics depth: Track users across wallets and sessions.
Token gating support: Enforce NFT/token-based access or experiences.
On-chain/off-chain unification: Merge blockchain events with web metrics.
Role-specific dashboards: Provide tailored views for teams.
Sybil resistance: Detect and filter fake accounts.
Integration ecosystem: Check APIs, SDKs, and third-party connections (e.g., Zapier, identity tools).
Network and SDK support: Ensure compatibility with your target blockchains and developer stack.
Compliance and data control: Decide between self-hosted sovereignty and managed services.

These criteria help align a platform with product goals, technical resources, and privacy obligations.

How Web3 Analytics Drive Dapp User Acquisition and Retention

Web3-native analytics unlock growth levers unreachable by traditional tools by tracking full user lifecycles and providing accurate attribution tied to wallet addresses. Automated wallet-based referrer tracking replaces UTMs and cookies, preserving attribution across devices and browser resets because wallets persist.

Cohort analysis segmented by token holdings, interaction patterns, or onboarding time enables targeted campaigns and product changes that improve retention. Combining on-chain and off-chain data delivers precise ROI calculations factoring in both marketing spend and token incentives, so teams can measure true acquisition cost and long-term value.

Maximizing Growth with Token-Gated Forms and Wallet Verification

Token gating enables exclusive experiences and precise segmentation by verifying NFT or token ownership on-chain, which also contributes to sybil resistance. Token-gated forms—supported by Formo on Ethereum and Solana—allow tailored user journeys (airdrops, beta access, tiered features) that reward genuine token holders.

Wallet verification paired with token gating secures onboarding, prevents fake accounts, and captures richer data tied to wallet identities. The resulting insights into token-holder behavior let teams optimize products and marketing based on actual on-chain activity instead of inferred demographics.

FAQs About Web3 Analytics for dApps

Why can't I just use Google Analytics for my dApp?

Google Analytics cannot track wallet interactions, smart contract activity, or pseudonymous blockchain users, so it misses critical Dapp engagement metrics and growth signals.

What are the main differences between Web2 and Web3 analytics?

Web2 uses centralized IDs like cookies and emails; Web3 tracks wallet addresses and blockchain events, emphasizing user-controlled privacy and token-based interactions.

How do I track user acquisition and referral growth in Web3?

Web3 analytics tie referrals to wallet addresses and on-chain behavior, enabling cross-device attribution and more accurate campaign measurement than cookie-based systems.

What features are critical in a Web3 analytics platform?

Essential features include wallet-based analytics, token gating, on-chain/off-chain unification, role-specific dashboards, privacy protections, and sybil-resistance measures.

Best Product Analytics Tools for DeFi Teams

Yos Riady — Mon, 04 May 2026 08:34:07 +0000

Original article: https://formo.so/blog/best-product-analytics-tools-for-defi-teams

Key Takeaways

DeFi product analytics requires onchain and offchain data integration because the blockchain records smart contract interactions that traditional tools cannot access while still needing web session and acquisition channel data.
Each platform serves a distinct primary use case so teams choosing between Formo for unified product metrics, Dune for custom SQL queries, and Nansen for wallet labeling should match the tool to their team's core need.
Blockchain data challenges like cross-chain fragmentation and complex nested formats require purpose-built DeFi analytics tools rather than adapting general product analytics platforms designed for Web2 applications.

DeFi teams face challenges in understanding user behaviour due to fragmented data. Effective product analytics tools, such as Formo, Dune Analytics, and Nansen, provide essential insights for enhancing user engagement and decision-making. Key features to consider include data accessibility, scalability, and privacy-compliant attribution. With 83% of DeFi projects failing without effective insights, selecting the right analytics tool is crucial for driving growth and retention in this competitive landscape.

DeFi teams often struggle to gain a comprehensive understanding of user behaviour due to fragmented data sources and complex analytics processes. This article explores the best product analytics tools specifically designed for DeFi, offering insights into how these platforms can streamline data integration and enhance decision-making. With 83% of DeFi projects failing due to lack of user engagement, selecting the right analytics tool could be the key to driving growth and retention in this competitive landscape.

Introduction

The importance of effective product analytics tools for Decentralized Finance (DeFi) teams cannot be overstated. As the DeFi ecosystem continues to grow, the ability to analyze user behavior and transaction data becomes crucial for product development and marketing strategies. An effective analytics platform provides insights that help teams understand user interactions, optimize user experiences, and drive engagement.

Dune Analytics, for instance, has established itself as a key player in this space. As of early 2025, it hosts over fifty thousand public dashboards, processing millions of queries each month for real-time on-chain data analysis. This capability allows DeFi teams to access critical insights that inform decision-making and strategy development.

Furthermore, the need for robust investigative tools has become increasingly apparent, especially given that over seven billion dollars worth of illicit crypto has been laundered using cross-chain methods as of 2024. This statistic underscores the necessity for analytics tools that not only aid in user engagement but also enhance security measures and compliance efforts within the DeFi sector.

By leveraging these analytics tools, DeFi teams can gain a comprehensive understanding of market dynamics and user behavior, ultimately positioning themselves for sustained growth and innovation in a competitive landscape.

Formo

Effective product analytics tools are essential for DeFi teams navigating the complexities of user behavior and transaction data. With the DeFi sector expanding rapidly, teams require reliable insights to inform product development and marketing strategies. A unified analytics platform can streamline data collection, processing, and analysis, allowing teams to focus on enhancing user experiences.

Formo stands out as a comprehensive solution for onchain analytics. It integrates web, product, and onchain data, providing actionable insights tailored for crypto teams. Key features include growth analytics to track metrics such as daily active users (DAU), weekly active users (WAU), and retention rates. Additionally, Formo offers real-time activity feeds that reveal user interactions, helping teams identify drop-off points and retention drivers. This platform also emphasizes user privacy, ensuring compliance with regulations by avoiding third-party cookies and sensitive data collection.

By enabling onchain attribution, Formo helps teams understand which channels and initiatives drive user activity, creating clearer pathways for growth. The wallet intelligence feature converts anonymous wallet addresses into actionable user profiles, revealing insights into user segments and behaviors. With these tools, DeFi teams can make data-driven decisions that enhance their applications and foster user engagement (Formo).

Dune Analytics

Dune Analytics has emerged as a significant tool for DeFi teams, offering a suite of features that enhance data analysis capabilities. The platform provides:

SQL-Based Queries: Leverages SQL querying language, allowing users to extract and analyze specific datasets with a user-friendly interface.
Customizable Visualizations: Users can create interactive dashboards that present complex blockchain data in easy-to-understand formats with real-time updates.
Multi-Chain Support: Supports multiple blockchain networks including Ethereum, Polygon, Optimism, BSC, and Solana for tracking diverse metrics across DeFi and NFTs.
Community-Driven: The platform emphasizes transparency by allowing anyone to view, replicate, and modify queries, fostering innovation and collaboration.

Investment firms, for example, have improved investment outcomes through comprehensive due diligence on DeFi protocols.

Nansen

Nansen stands out as a leading analytics platform for DeFi teams, providing valuable insights into blockchain activity. Its database contains over 500 million labeled crypto wallets, with nearly half a billion addresses identified through advanced AI analysis of on-chain data. This depth of information allows teams to track user behavior and optimize strategies effectively.

What Makes Product Analytics Different for DeFi Teams

Effective product analytics tools for DeFi teams differ significantly from traditional analytics due to the unique challenges presented by blockchain technology. The event-oriented storage schema of blockchains complicates the execution of ad hoc or aggregated queries, making them costly or even impossible due to the lack of on-chain data. This complexity necessitates specialized tools that can provide insights into user interactions with smart contracts and overall product performance.

"It was during the user testing of our first Ethereum DApp, that we realized there is a lack of analytics tools that provide insights on how users are interacting with smart contracts."

As DeFi continues to evolve, the importance of tailored analytics solutions becomes more pronounced, enabling teams to optimize user experiences and enhance engagement effectively.

Key Features to Look for in DeFi Product Analytics Tools

Effective product analytics tools are essential for DeFi teams aiming to navigate the complexities of blockchain data. As the DeFi landscape evolves, the ability to analyze user behavior and transaction patterns becomes increasingly vital. Key features to consider in these tools include data accessibility, scalability, accuracy, and interoperability.

Data Accessibility: Raw blockchain data often exists in complex, nested formats that are difficult to query directly. This can hinder effective analysis and decision-making.
Scalability: Running blockchain nodes and maintaining databases capable of handling terabytes of transaction data requires significant technical expertise and financial resources. A scalable solution is necessary to manage growing data volumes.
Accuracy: Academic research faces challenges in improving blockchain data accuracy, particularly in developing robust AI algorithms for wallet labeling and establishing reliable methods for cross-platform data validation.
Interoperability: Each blockchain has its own data structure, making cross-chain analysis extremely challenging. Tools must effectively integrate data from multiple sources to provide comprehensive insights.

These features are fundamental to unlocking actionable insights for product development and marketing strategies in the DeFi sector.

Onchain and Offchain Data Integration

Effective product analytics tools for DeFi teams must integrate both onchain and offchain data to provide comprehensive insights. This integration allows teams to track user interactions across platforms, improving decision-making. For instance, employing a hybrid approach that combines SDK-based event tracking with onchain data indexing can enhance visibility throughout the user journey. This method ensures that teams can analyze lifecycle milestones, such as wallet connections and transaction completions, while also linking this data to offchain signals, creating a unified view of user behavior.

Cross-Chain Transaction Tracking

Cross-chain transaction tracking is vital for DeFi teams aiming to gain insights into user behavior across multiple blockchain ecosystems. Effective analytics tools must integrate data from various chains, enabling teams to monitor transactions in real time. This capability is essential, especially as trading volume across crypto bridges surged to $8.15 billion in September 2024. Such tools facilitate the identification of fund flows and transaction patterns, which can guide strategic decisions and enhance user engagement.

"Every single transaction that's ever taken place on a blockchain, even if it's five years ago or one second ago, is going to be a Nansen... You could monitor the flow of funds, and if they hop from one chain to another, you could still track that." - Alex Svanevik, CEO of Nansen (TheStreet)

Wallet-Level User Intelligence

Effective wallet-level user intelligence is critical for DeFi teams to understand the specific behaviors and preferences of their users. By analyzing wallet interactions, teams can identify trends, assess user engagement, and tailor product offerings accordingly.

Nansen exemplifies this approach, supporting 18+ blockchains and enabling users to track wallet balances, token holdings, and NFT collections across various platforms. This comprehensive overview allows teams to make informed decisions based on robust data insights.

"After years of working with blockchain data, we found that many of our clients wanted the same thing: to know more about the wallets that are transacting on-chain." - Nansen team (Nansen)

Privacy-Compliant Attribution

Effective product analytics tools for DeFi teams must prioritize privacy-compliant attribution to ensure user data remains secure while still delivering valuable insights. This involves incorporating privacy-preserving mechanisms that can analyze user interactions without compromising sensitive information. As most current smart contract and blockchain platforms lack these mechanisms, implementing solutions that balance transparency and privacy is essential for maintaining user trust and compliance with regulations.

"There is a fundamental dilemma with transparency and privacy in blockchain, and something that people should think about and be mindful of." - Alex Svanevik, CEO and co-founder of Nansen (Cointelegraph)

How to Choose the Right Analytics Tool for Your DeFi Project

Choosing the right analytics tool for a DeFi project involves several key considerations to ensure effective data utilization.

Data Coverage and Granularity: Assess how many blockchains, tokens, and transaction types are analyzed, along with the level of detail provided.
Real-Time Capabilities: Evaluate access to data and analytics as transactions occur, enabling timely trading and operational decisions.
Wallet Labeling and Entity Identification: Determine the ability to label addresses belonging to exchanges, funds, protocols, and notably 'Smart Money' wallets.
Analytical Features: Review visualization tools for trends, flow tracking, anomaly detection, and advanced query capabilities.
AI and Machine Learning Integration: Consider algorithms that highlight hidden patterns, predict movements, and automate insights.

These factors collectively help DeFi teams make informed decisions, enhancing their strategic capabilities in a rapidly evolving landscape.

Conclusion

The role of effective product analytics tools in DeFi is increasingly pivotal as the ecosystem evolves. These tools enhance transparency and efficiency within decentralized finance through real-time monitoring, risk assessment, and strategic decision-making. By leveraging onchain data, DeFi teams can gain insights that drive product development and marketing strategies, ultimately improving user experiences.

The growing complexity of user interactions necessitates robust analytics capabilities. For instance, platforms like Dune Analytics provide extensive dashboards that allow teams to analyze millions of queries, facilitating informed decision-making. Moreover, the need for comprehensive investigative tools has become evident, particularly in light of the significant illicit activities associated with cross-chain transactions.

As highlighted, blockchain data analytics plays a vital role in benefiting both end users and DeFi protocols, emphasizing the importance of integrating advanced analytics into product strategies (arXiv). By adopting the right tools, DeFi teams can unlock actionable insights that enhance user engagement and drive growth in this dynamic sector.

FAQs

What are the benefits of using Dune Analytics for DeFi teams?

Dune Analytics offers SQL-based queries, customizable visualizations, and multi-chain support, allowing DeFi teams to extract actionable insights from complex blockchain data across various networks.

How does Formo ensure user privacy in its analytics?

Formo emphasizes user privacy by avoiding third-party cookies and sensitive data collection, ensuring compliance with regulations while providing actionable insights through onchain attribution.

Why is wallet-level user intelligence important for DeFi projects?

Wallet-level user intelligence allows DeFi teams to track user behaviors and preferences, helping them tailor product offerings and improve engagement based on robust data insights.

What key features should DeFi teams look for in analytics tools?

DeFi teams should prioritize data accessibility, scalability, accuracy, and interoperability to effectively analyze and utilize blockchain data for strategic decision-making.

How can cross-chain transaction tracking enhance a DeFi project's strategy?

Cross-chain transaction tracking enables teams to monitor user behavior across multiple blockchain ecosystems, providing insights into fund flows and transaction patterns that can guide strategic decisions.

Sources & References

Check out these related articles for more information:

User behavior and transaction data - Directly expands on the core topic of analyzing user behavior in DeFi with wallet-level tracking and privacy considerations.
Wallet addresses into actionable user profiles - Provides comprehensive guidance on wallet analytics, directly supporting the article's discussion of Formo's wallet intelligence feature.
Effective product analytics tools - Offers a broader comparison of Web3 product analytics tools that complements this DeFi-focused article.
Onchain attribution - Deepens understanding of the attribution capabilities mentioned in the Formo section for tracking growth channels.
Daily active users (DAU), weekly active users (WAU), and retention rates - Provides actionable guidance on the specific metrics mentioned as key features of analytics platforms.