DEV Community: Zoe Rivera

How Businesses Can Protect Their Cloud Environment

Zoe Rivera — Mon, 05 Oct 2026 10:57:16 +0000

Cloud computing has transformed the way businesses store data, run applications, and deliver digital services. Instead of relying entirely on physical servers and on-premises infrastructure, organizations can use cloud platforms to access computing resources when and where they need them.
However, moving workloads to the cloud does not automatically make them secure. Cloud environments introduce their own risks, including misconfigured storage, excessive permissions, compromised accounts, insecure applications, and exposed services. Cloud security provides the controls and practices needed to manage these risks.

What Is Cloud Security?

Cloud security refers to the technologies, policies, processes, and practices used to protect cloud-based systems, applications, infrastructure, and data.

It covers several areas, including identity management, access control, encryption, monitoring, vulnerability management, configuration management, and incident response.

Cloud security Training is particularly important because cloud environments can change rapidly. New users, applications, storage resources, and services may be created regularly. Without proper controls, a small configuration mistake can expose sensitive information.

Understanding the Shared Responsibility Model

One of the most important concepts in cloud security is the shared responsibility model.

Cloud service providers are generally responsible for securing the underlying infrastructure they operate. Customers, however, remain responsible for securing many aspects of their own cloud environment, depending on the services they use.

This may include user access, data protection, application configuration, permissions, and security settings.
Understanding these responsibilities helps organizations avoid assuming that the cloud provider handles every security requirement.

Identity and Access Management

Identity and access management is a central component of cloud security. Organizations should ensure that users have access only to the resources they need.

The principle of least privilege can reduce unnecessary access. Instead of giving employees broad permissions, businesses can assign specific roles based on job responsibilities.

Multi-factor authentication should also be enabled for important accounts. Administrative accounts deserve particular attention because they can often make significant changes to cloud resources.

Organizations should regularly review user accounts and remove access when employees change roles or leave the company.

Securing Cloud Data

Data stored in cloud environments should be protected throughout its lifecycle.

Encryption can help protect information while it is stored and while it moves between systems. Organizations should also carefully manage encryption keys and access permissions.

Sensitive data should be classified so that businesses understand which information requires stronger controls. Customer information, financial records, credentials, intellectual property, and other confidential data may require additional protection.

Data retention policies can also reduce unnecessary exposure by ensuring that information is not stored indefinitely without a business reason.

Preventing Misconfigurations

Cloud misconfiguration is a major security concern. A storage resource, database, or application can accidentally be made accessible to unauthorized users because of an incorrect configuration.

Organizations should establish secure configuration standards and regularly evaluate cloud environments against those standards.
Automated security tools can help identify certain configuration problems, exposed resources, excessive permissions, and other potential weaknesses.

Configuration reviews should be performed whenever significant changes are made to the environment.

Monitoring Cloud Environments

Visibility is essential for detecting suspicious activity. Cloud environments can generate large amounts of information about logins, configuration changes, API activity, network connections, and resource usage.

Organizations should collect and review relevant logs. Alerts can be configured for unusual events, such as unexpected administrator activity, repeated failed login attempts, or changes to sensitive resources.

Continuous monitoring can help security teams identify potential incidents earlier and investigate them before they become larger problems.

Protecting Cloud Applications

Applications running in cloud environments need security throughout their development lifecycle.

Developers should consider security during design, coding, testing, deployment, and maintenance. Vulnerability scanning and security testing can help identify weaknesses before attackers exploit them.

APIs also require protection because they often connect applications, services, and data. Authentication, authorization, rate limiting, input validation, and monitoring can help reduce API-related risks.

Managing Third-Party Access

Businesses frequently connect cloud environments with external vendors, contractors, and software services. Each external connection can introduce additional risk.

Organizations should evaluate third-party access carefully and provide only the permissions necessary for the required task.
Access should also be reviewed periodically. Temporary access should expire when it is no longer needed, rather than remaining active indefinitely.

Backup and Recovery

Cloud services can improve availability, but organizations still need appropriate backup and recovery strategies.

Important data should be backed up according to business requirements, and recovery procedures should be tested regularly. Businesses should understand how quickly critical systems need to be restored after an incident.

Recovery planning should also consider scenarios such as accidental deletion, ransomware, service disruption, and compromised accounts.

Cloud Security and Compliance

Many businesses operate under legal, regulatory, contractual, or industry-specific requirements. Cloud security controls should support these obligations.

Organizations need to understand where data is stored, who can access it, how it is protected, and how security events are recorded.

Compliance should not be treated as a replacement for security. Meeting a compliance requirement does not necessarily eliminate every operational risk.

Conclusion

Cloud technology provides businesses with flexibility, scalability, and access to powerful digital services. At the same time, organizations must take responsibility for securing the parts of the cloud environment under their control.

Strong identity management, least-privilege access, encryption, secure configurations, continuous monitoring, application security, third-party controls, and tested backups can form the foundation of an effective cloud security strategy.

As cloud environments continue to evolve, security practices should evolve with them. Regular assessments and ongoing employee awareness can help businesses protect their cloud resources while taking full advantage of modern cloud technology.

Influencer marketing for legal and professional services firms

Zoe Rivera — Tue, 22 Sep 2026 11:15:06 +0000

Building an influencer marketing strategy for fintech brands means navigating a set of constraints that most verticals don't face: longer consideration cycles, regulatory scrutiny, and audiences who've learned to be cautious about anything involving their money.

Marketing teams at neo-banks, payment apps, and investment platforms often find themselves caught between the need to move fast on creator partnerships and the reality that one compliance misstep can create months of cleanup. The playbook that works for CPG or lifestyle brands doesn't translate directly here. The gap between "we're running influencer campaigns" and "we're running influencer campaigns that actually drive funded accounts" is wider than it looks. Getting this right requires rethinking creator vetting, content approval workflows, and measurement from the ground up.

Why influencer marketing works for fintech

Here's what makes financial services influencer marketing different from other verticals: your audience is skeptical by default. The 2025 Edelman Trust Barometer puts trust in financial services at just 64%, near the bottom of all industries measured. People don't casually sign up for new bank accounts or investment apps the way they might try a new skincare product. They research, compare, and look for validation from people they trust.

That's exactly where creators come in. When someone who's built credibility talking about personal finance recommends your product, they're lending you the trust they've earned over months or years. This shortens the consideration cycle significantly.

Creators also solve the education problem. Complex features like APY rates, fee structures, or FDIC insurance can feel intimidating in traditional ads. A creator explaining these concepts in plain language (aka how they actually use the product day-to-day) makes everything click.

The audiences following finance creators are actively looking for solutions. A Charles Schwab survey found 72% of Gen Z turn to social media for financial guidance — these aren't passive scrollers. They're people who want to budget better, invest smarter, or find a bank that doesn't nickel-and-dime them. That intent translates directly to higher conversion rates.

How to find and vet fintech creators who convert

Creator selection in fintech carries higher stakes than most verticals. A creator who makes inaccurate claims or has undisclosed conflicts can create regulatory headaches fast. You need a vetting process that balances performance potential with brand safety.

An influencer marketing platform can help streamline this vetting process by making it easier to evaluate creators based on audience quality, content relevance, and brand safety.

Prioritize financial intent over follower count

A creator with 50,000 engaged followers who regularly posts about budgeting will typically outperform a creator with 500,000 followers who rarely touches money topics. You're looking for intent signals that prove the audience actually cares about finance.

Content consistency: Look for creators who post about money topics regularly, not just when there's a sponsorship involved.
Comment quality: Check whether followers are asking genuine questions about saving or products, since generic emoji comments signal lower engagement quality.
Audience fit: Make sure the creator's audience matches your target customer in terms of age and life stage.

Micro vs. macro creators for fintech ROI

Micro creators (under 100K followers) typically deliver over 3x higher engagement rates and deeper community trust at a lower cost per partnership. The tradeoff is you'll need more of them to reach significant scale.

Macro creators (500K+) offer broader reach and polished production quality. They cost more and sometimes attract less targeted audiences, so you'll want to be selective about when to deploy them. For fintech specifically, micro creators often adapt more easily to compliance review processes since they're used to closer brand collaboration.

A portfolio approach works well here: micro creators for conversion-focused campaigns, selective macro partnerships for awareness moments.

Vet creators for compliance readiness and credibility

Before signing any contracts, run through this screening checklist:

Disclosure history: Take time to review past sponsored posts and confirm proper FTC disclosure placement, since this signals how seriously they take compliance.
Content accuracy: Watch for past claims about guaranteed returns or financial advice that could signal risk down the line.
Conflict check: Look for competing financial product partnerships or undisclosed affiliate relationships that could create issues.
Platform standing: Verify there are no past violations or content removals related to financial misinformation, which could put your brand at risk.

Your contracts should include pre-approval requirements for all content, specific prohibited claims language, and takedown rights if compliance issues arise.

Plan and run fintech influencer campaigns that perform

Campaign planning is where creator selection turns into measurable results. Fintech campaigns typically require longer planning cycles due to compliance review, and conversion windows often extend weeks beyond the initial post.

Campaign architecture for always-on vs. burst programs

You've got two primary models to choose from:

Burst campaigns: These concentrate activity around a launch, seasonal moment, or promotional period. They work best for new product introductions or limited-time offers.
Always-on programs: These involve continuous creator relationships with a regular posting cadence. They're best for building sustained awareness and capturing ongoing demand.

High-friction products (investment accounts, credit cards) benefit from always-on education. Lower-friction products (payment apps, budgeting tools) can succeed with burst campaigns around key moments. Starting with a test cohort of 10-20 creators before scaling helps you identify what works without overcommitting resources.

Match content formats to banking, payments, and investing goals

Different fintech verticals perform best with different content approaches. Screen recordings and real product usage build more trust than scripted promotional content.

Vertical	High-Performing Formats	Trust Element
Neobanks	"Switching my bank" vlogs, fee comparisons	Show actual app interface
Payments	Checkout demos, budgeting content	Transparent about when to use
Investing	Portfolio updates, beginner explainers	Risk disclaimers integrated naturally

Structure performance-based compensation for extended sales cycles

Fintech conversion funnels often span weeks from first touch to funded account. Your compensation model needs to account for this.

Consider milestone-based CPA structures:

Signup/download: Lowest payout, easiest to achieve
KYC completion: Mid-tier payout, indicates genuine intent
Account funding: Higher payout, represents real conversion
First transaction: Highest payout, confirms active user

Build in quality gates like 30-90 day attribution windows to capture delayed conversions, holdback periods to screen for fraud, and clawback clauses for accounts that close immediately.

Build compliance guardrails that protect your brand

Compliance can become a competitive advantage when handled correctly. Brands that build efficient compliance workflows can move faster and work with more creators confidently.

Set disclosure standards and content approval workflows

Here's a step-by-step approval process that keeps things moving:

Send creator brief with mandatory disclosure language and prohibited claims list
Creator submits content draft 5-7 business days before planned post date
Legal/compliance team reviews for claims accuracy and disclosure placement
Allow one round of revisions with clear feedback
Provide written approval before creator posts
Archive all drafts, approvals, and final content for recordkeeping

Prevent inaccurate claims without scripting every word

Overly scripted content underperforms because it loses authenticity. The goal is setting clear boundaries while giving creators room to use their voice.

Claim Type	Prohibited	Compliant Alternative
Returns	"You'll make money"	"Here's how I use it for my goals"
Guarantees	"Risk-free"	"FDIC insured up to $250K"
Comparisons	"Better than [competitor]"	"Here's what I like about the features"
Advice	"You should invest in..."	"This is what works for my situation"

Creators should always recommend viewers do their own research and consult professionals for personalized advice.

Measure fintech influencer ROI beyond vanity metrics

Likes and comments don't pay back your influencer investment. Fintech brands need to track metrics that actually connect to revenue.

KPI map for funded accounts, deposits, and activations

The fintech conversion funnel requires specific metrics at each stage:

Awareness: Track impressions, reach, and video views to understand how many people are seeing your content.
Consideration: Focus on click-through rate, landing page visits, and app downloads to measure interest.
Conversion: This is where you track signups, KYC completions, and account funding.
Activation: Look at first transaction, first deposit, and feature adoption to see if users are actually engaging.
Retention: Monitor 30-day active rate and repeat transactions to understand long-term value.

The metrics that matter most depend on your business model, so take time to identify which downstream events actually drive revenue for your company. For example, neobanks may prioritize funded accounts while payment apps may focus on transaction volume.

Attribution stack and incrementality testing

A proper attribution stack connects creator content to actual business outcomes:

UTM parameters: Use these to track traffic source from creator links so you know exactly where visitors are coming from.
Promo codes: Assign unique codes to each creator for direct attribution, making it easy to see who's driving conversions.
Mobile measurement partners: These tools track app installs and in-app events, connecting creator content to actual user behavior.
Server-side events: Pass conversion data back to platforms for optimization, which helps improve targeting over time.

Incrementality testing is the gold standard for proving influencer impact. Geo holdout tests (running campaigns in some markets while holding others as control) and brand lift studies provide the strongest proof of ROI.

Dashboards and cohort quality reporting

Your reporting should serve two audiences: marketing teams who need optimization insights and executives who need business impact summaries.

For marketing, track creator-level performance, content performance by format, funnel conversion rates, and cost per acquisition by creator tier.

For executives, focus on customer acquisition cost vs. other channels, 30/60/90-day retention of influencer-acquired customers, and lifetime value projections. This answers the question they actually care about: are influencer-acquired customers as valuable as customers from other channels?

Scale into an always-on fintech creator program

Once you've proven ROI with initial campaigns, the next step is building a repeatable system rather than running one-off activations.

Portfolio mix and operating cadence

The 60/30/10 framework works well for creator portfolio management:

60% proven performers: These are creators with demonstrated results who receive ongoing partnerships and form the backbone of your program.
30% promising tests: Reserve this portion for new creators you're evaluating based on initial performance.
10% experimental: Use this slice for emerging creators or new platforms you're testing for future potential.

Review creator performance monthly, refresh your test cohort
quarterly, and evaluate platform mix semi-annually.

Repurpose top-performing content with paid amplification

Organic creator content often performs well as paid media because it maintains authentic feel while reaching broader audiences.

Creator licensing: Secure usage rights in your initial contracts, typically for 60-90 days of paid use.
Spark Ads: These let you boost a creator's original TikTok post while keeping engagement on their profile.
Partnership Ads: Run ads from the creator's handle while using your own targeting capabilities.

Retarget website visitors and app users with creator content, build lookalike audiences from your best customer segments, and layer financial interest targeting for prospecting.

How to Build and Launch an Ecommerce App in 2026 Without Starting from Scratch

Zoe Rivera — Fri, 11 Sep 2026 11:54:14 +0000

A decade ago, putting a mobile app behind your ecommerce business meant assembling a development team, committing several hundred thousand dollars, and waiting a year or more before you had anything worth demoing. That equation has changed almost beyond recognition.

The cost and time barriers have collapsed. Founders now ship fully functional ecommerce apps in weeks. Speed brings its own risk, though: moving fast without understanding your options tends to produce expensive mistakes that only surface after launch.

This guide covers how ecommerce apps get built today, the features you need to stay competitive, how to keep revenue and billing under control as volume grows, and what marketing actually works once the app is live.

Why Apps Are Outpacing Mobile Websites

Mobile commerce stopped being a forecast some time ago. Statista put mobile at over 60% of global ecommerce sales in 2023, and the share has kept climbing since.

The explanation is not complicated. Phones are where people shop, and apps simply deliver a better experience than mobile browsers. They load faster, support push notifications, and pull customers back through loyalty programs, saved preferences, and one-tap checkout.

Companies operating website-only are already conceding customers to competitors with an app. If you sell online without one, you are competing at a structural disadvantage.

Two Routes to Building Your App

Ready-Made App Scripts and Clone Solutions

Starting from a pre-built foundation is the fastest path to launch. App script providers sell ready ecommerce platforms that arrive with the core pieces already working: product listings, cart, payment gateways, push notifications, admin dashboard.

You apply your branding, adjust features to match your model, and go live. What would have been a year of development becomes a few weeks. The approach suits marketplace-style businesses particularly well — grocery delivery, fashion, food delivery, multi-vendor ecommerce.

The financial gap is wide. A feature-complete custom build runs anywhere from $50,000 to $200,000 and often higher. A solid script from a credible provider cuts that by 70 to 80 percent and still leaves you with a professional, scalable product.

Provider selection is where this either works or fails. Look for clean code, a regular update cadence, real documentation, and support that answers. A cheap script with nobody behind it becomes expensive fast through bugs, security holes, and features that break every time a platform updates its requirements.

Custom Development

Some requirements cannot be met by a pre-built product. Complex logistics, a proprietary recommendation engine, unusual payment flows, or deep integration with existing enterprise systems all point toward building from the ground up.

Custom development hands you complete control of every feature, flow, and technical decision. You own the code, you own the roadmap, and no vendor's product strategy dictates where your app goes next.

The price of that control is time and money. You need a capable team, a defined product roadmap, and a realistic schedule. Testing has to be more rigorous too, because you are not inheriting a product that has already been hardened across dozens of other deployments.

If you go this route, work with an agency that has genuinely shipped ecommerce products. Ask for case studies, make them explain their process in plain terms, and confirm what post-launch support looks like before signing. Plenty of agencies deliver and disappear.

The Features Your App Needs in 2026

Script or custom, these are the baseline expectations customers now bring to any shopping app:

Frictionless onboarding. Two or three steps at most before someone can browse.
Intelligent search and filtering that gets people to the right product quickly.
Strong product media, including video, so buyers can see what they are getting.
Multiple payment options **— cards, digital wallets, buy-now-pay-later. - Real-time order tracking,** which cuts both customer anxiety and support tickets.
Push notifications for order updates, promotions, and abandoned carts.
Loyalty or rewards features that give people a reason to come back.
Simple returns and refunds. How you handle problems shapes reputation as much as how you handle sales.
Ratings and reviews so customers can buy with confidence.
Fast, reliable checkout with saved cards and addresses.

Getting Revenue and Billing Right as You Scale

Revenue operations rank among the most underestimated challenges in growing ecommerce. It reads like a back-office concern, but it touches customer trust directly and determines whether you can see your own financial position clearly.

Subscriptions, memberships, and tiered pricing make manual billing untenable quickly. Billing errors generate complaints, refund requests, and churn. As transaction volume rises, those errors multiply rather than stay flat.

Subscription billing and revenue automation platforms absorb that complexity. They run recurring charges, prorate upgrades and downgrades, retry failed payments intelligently, and produce accurate revenue reporting in real time. Work that once justified a finance hire now runs quietly in the background.

The transaction layer underneath deserves the same attention. A dedicated ecommerce payment platform handles multiple payment methods, reduces checkout friction, and produces clean payment data that flows straight into your revenue reporting instead of requiring reconciliation.

Automating this early pays off disproportionately. Beyond avoiding operational headaches, you end up with clean data — which is what makes financial forecasting, investor reporting, and honest analysis of which products and segments drive growth actually possible.

Marketing the App After Launch

Shipping the app is half the work. Downloads, activation, and repeat usage require deliberate effort.

Link Retargeting and Smart URL Management

Every article you publish, post you share, and ad you run points somewhere. Link management and retargeting tools convert those URLs into marketing assets. Anyone who clicks becomes retargetable with ads on Facebook and Instagram, whether or not they downloaded the app or bought anything.

That keeps your brand in front of prospects well past the first visit and meaningfully improves the return on both content and paid spend.

Product Seeding and Micro-Influencers

Product seeding remains one of the most cost-efficient acquisition channels available to ecommerce sellers. Platforms such as Stack Influence automate micro-influencer campaigns for brands selling on Amazon, Walmart, Shopify, and TikTok Shop. Vetted creators receive products, produce authentic content, and drive downloads in exchange for merchandise rather than cash.

Attribution That Shows What Actually Works

Most ecommerce businesses advertise on several channels, post across multiple social platforms, and send email regularly. Without attribution, none of them can say which of those activities produced a download or a sale.

Multi-touch analytics platforms stitch your data sources together and reconstruct the full journey. You can trace a customer who first saw an Instagram ad, returned to your site twice, clicked through from an email, and finally downloaded after a retargeting ad. That visibility is what lets you double down on what works and cut what does not.

Your Website Still Matters

An app does not make your website redundant. Most people check the site before downloading anything, and organic search remains a steady source of new users.

A well-built WordPress site — decent theme, affordable and reliable hosting, proper performance tuning — makes your web presence an asset to app growth rather than a drag on it. Quick load times, obvious download prompts, and content that ranks bring in new users continuously without additional ad spend.

Mistakes That Sink Ecommerce Apps

Launching Without Enough Testing

Crashes, slow loading, and confusing navigation earn an uninstall within minutes. Test properly before release, including sessions with real users who match your actual customer profile. To catch issues early, use UX research platforms like UXtweak to conduct quick usability tests with real users before going live.

Treating Launch as the Finish Line

The apps that succeed update constantly in response to user feedback. Launch day starts the development process rather than ending it. Plan for continuous work and budget for it from the outset.

That means having a way to collect requests and a method for deciding which feature requests to build first, otherwise your roadmap ends up driven by whoever complained loudest last week.

Underinvesting in Checkout

Cart abandonment across ecommerce averages roughly 70 percent. Much of that traces back to checkout being too long, too complicated, or missing the payment method the customer wanted. Give checkout the same design attention as any other screen in your app.

Ignoring Retention Until It Hurts

Acquiring a customer costs about five times what retaining one does. Build loyalty mechanics, personalization, and re-engagement notifications fromnotifications in from the start. Bolting them on later, once churn is already a problem, is far harder and far more expensive.

Final Thoughts

Launching an ecommerce app in 2026 is more achievable than at any previous point. The technology is better, the build options are more flexible, and the tooling for managing and marketing an app after launch outclasses anything available five years ago.

The winners are rarely the best-funded. They are the teams that make sound decisions at each stage: the right build approach, the right feature set, disciplined revenue operations, and consistent marketing once the app is live.

Begin with a clear picture of your customer and your business model. Build the smallest version that delivers genuine value. Ship it, learn from real usage, and improve. That pattern has produced some of the largest ecommerce businesses in the world, and the logic holds at any scale.

How Do Small Companies Do Contract Management with SharePoint?

Zoe Rivera — Tue, 28 Jul 2026 07:04:40 +0000

Contract administration software gives centralized storage capacity and contracts lifecycle mechanization, which serves to rapidly make, favor, recover and share contracts and related docs. It saves a considerable amount of time, and time is critical to small companies that have a ton of work but not many workers. Additionally, contract management software is an unquestionable requirement for small businesses striving for more, as it makes a good reason for the development of a contract management system and, as a result, for extension of a business itself.

It is intelligent for small businesses to pick contract management solution conveyed in the cloud, as of today, cloud-based contract management software is reasonable to even the smallest of organizations. Their expenses are limited since small companies simply need to pay for a membership without putting into IT foundation.

Office 365 SharePoint Online platform sent in the cloud can turn into a good choice for small businesses contract administration. We should find out the reason why.

Microsoft SharePoint as contract management software

Office 365 gives broad opportunities to inside and outer joint collaboration, undertaking and project management, record stockpiling, messaging, examination, and so forth, which makes it very nearly a universal environment for office tasks. In any case, it can offer solutions particularly for contract management that depend on Microsoft SharePoint consulting. Office 365 SharePoint Online can automate a contract’s lifecycle from creation to ending and maintenance simply like any particular contract management software. It's conceivable in light of the fact that Microsoft SharePoint Online has all the principal components required for contract management:

Contract creation workflow

Microsoft SharePoint Online can give viable association between the contract manager and legitimate and financial staff amid the contract creating through intranet discussion board or remarks. Likewise, it's simple and quick to make and store a contract in SharePoint Online as the platform is as of now incorporated with Word.

Contract templates

There's no need in making contracts from scratch in Office 365 environment. SharePoint Online permits making, storing and reusing templates for different kinds of contracts. Subsequently, standard contracts, for example, non-disclosure agreements can be made in seconds as they don't require numerous modifications from a relevant format. Microsoft SharePoint likewise makes it possible to store and reuse contract fields (e.g. lawful locations) and provisos (e.g. drive majeure). This keeps up business consistency and enhances risk management because of utilizing the same already approved legal terms in all agreements and related docs.

Approval workflow

Microsoft SharePoint Online backs vertical and even approval workflows of any complexity and number of stages. As some other Microsoft SharePoint built-in kinds of workflows, approval workflows are generally rule-based. For instance, a domestic contract can have a more straightforward approval workflow with fewer members when compared with a contract with different states. The workflow automatically routes a contract to relevant people (a legal advisor, CFO, CEO) for approval and special dashboards mirror the agreement's present status: new, pending or affirmed. At the point when the endorsement procedure is settled, the agreement director gets a robotized warning that the agreement is affirmed.

E-signature integration

Microsoft SharePoint Online can be incorporated with e-signature software, for example, DocuSign. Such coordination takes out the requirement for wet signatures or in-person gatherings. In this manner, the contract lifecycle turns out to be completely computerized, however; the contract itself remains lawfully official. Therefore, settling negotiations turns out to be significantly quicker.

Contract search

Because of its great search engine,Microsoft SharePoint Online gives an intelligent search by keywords, metadata or full text. Microsoft SharePoint likewise supports searching contracts through numerous resources, for example, portals, other document management systems, CRM, BI frameworks, and so on. Indexed lists in Microsoft SharePoint Online are returned in one positioned list with connections to the thing and metadata.

Alarms and updates

Microsoft SharePoint Online empowers clients to preschedule automatic alarms and updates about a contract's status and its turning points, for instance, payment or termination dates. Hence, when a specific vital date approaches, clients will get an email warning. This component additionally permits maintaining a strategic distance from undesirable programmed restoration, which is very basic for obtaining contracts.

Microsoft SharePoint Online contract administration: benefits for small businesses

Presently we see that Microsoft Office 365 SharePoint Online has fundamental contract management features. Yet, does it make Microsoft SharePoint Online suitable for small companies? Are there any advantages over other cloud-based solutions planned particularly for contract management (Gatekeeper, Contract Advantage, and so on.) that influence this platform to captivate everyone? It is found there are:

Comfort.

If a business as of now utilizes Office 365 and Microsoft SharePoint Online for project management or collaboration, picking a contract management solution in view of a similar platform is very intelligent. In this manner, organizations can accomplish more noteworthy cost-effectiveness than spending on another third-party platform.

Ease of use.

Microsoft SharePoint Online has intuitive and simple to-utilize interface. It requires least preparing and there are numerous training tools and guides provides for users. Thus, small organizations may concentrate more on the business and invest less energy in acing new software.

Scalability.

SharePoint Online platform has high adaptability. It makes a positive environment for developing a contract management system and, thusly, to grow of a business itself. It's essential for small companies that are intending to extend.

Integration.

SharePoint Online is perfect and backs out-of-the-box integrations with whole MS Office including Outlook, Word, Excel, and PowerPoint. Likewise, SharePoint Online can be effortlessly integrated with CRM. It's a critical advantage for small businesses, as their most noteworthy need is to expand sales and they generally utilize CRM frameworks, for example, Salesforce, Dynamics 365 and Zoho CRM. This sort of combination guarantees that information in contract records and CRM frameworks are dependable in a state of harmony and can be effortlessly found.

Security.

Office 365 and SharePoint online have a propelled security display. Such features as multifaceted authentication, encryption of information very still and in travel, information misfortune avoidance, programmed against malware insurance and more make an agreement administration arrangement in light of SharePoint Online a solid device to deal with delicate contract data. SharePoint Online additionally gives a full review trail indicating who saw, changed, erased or shared contracts, which encourages holding fast to government and state compliance regulations.

Cost.

Office 365 keeps to a subscription pricing model, which enables independent companies to plan their costs. In addition, there are no hidden costs in Office 365 and SharePoint Online, as all updates are given free of charge. The cost for SharePoint Online begins from just $5.00 users/month and $12.50 users/month for the entire Office 365 suite, which is moderate for small businesses. In examination, Contract Advantage costs about $100.00 user/month.

Afterthought

The significance of contract management for small businesses can't be exaggerated. Persistent and intelligent contract management guarantees legal obligation management, which adds to the expansion in deals, pick up of more productive contract terms and better consistency, and in addition the change of client merchant connections. Contract management in view of Office 365 SharePoint Online is economical, simple to-utilize and incorporating great with another programming, which is significant for small businesses. Likewise, the stage guarantees viable contract administration because of inherent devices for contract composing, evaluating and arranging, top-notch security and protection controls, and in addition, adaptability, making it an ideal answer for small businesses.

How We Built an AI-Powered Landing Page Personalization Engine

Zoe Rivera — Thu, 09 Jul 2026 13:42:43 +0000

We'd spend weeks refining ad copy, tightening audience segments, and optimizing bid strategies and then route every single visitor to the same static page. A cold-traffic visitor from a broad awareness campaign and a retargeted visitor who'd already seen our pricing page both landed on identical HTML. Same headline. Same CTA. Same everything.

We knew the fix wasn't "write a better copy." The fix was architectural: we needed the page itself to be aware of who was arriving and why and respond accordingly, before the visitor even registered the load.

This is how we built that system. And why we eventually stopped trying to build it entirely ourselves.

The Core Problem: Static Pages in a Dynamic Funnel

Modern marketing funnels are deeply contextual upstream. Ad platforms segment by intent. Email sequences branch by behavior. CRMs track the lifecycle stage. But the moment a visitor clicks through, all of that context gets dropped.

The URL has no memory. It doesn't know which ad was clicked, which keyword triggered the visit, whether the visitor is a first-touch prospect or a warm lead who's been evaluating for three weeks. It just serves the same response to every GET request.

That's not a CRO problem, it's an architecture problem. And treating it like a CRO problem (hypothesis → build variants → A/B test → wait → deploy) is why most landing page personalization efforts top out at a handful of static variants and marginal lift.

What we actually needed was a layer between traffic and page render that could:

Read incoming signals (source, keyword, geo, device, behavioral history, campaign context)
Determine the right experience for that specific visitor
Rewrite the relevant page elements before render
Learn from each session and improve continuously

What We Tried First

We started where most teams do: Dynamic Text Replacement. UTM parameters mapped to headline variants. It worked for keyword-level swaps but couldn't handle anything more complex: different value propositions for different industries, stage-aware CTAs, geo-specific social proof.

Next, we looked at building our own edge personalization layer. The idea was to intercept requests at the CDN edge, read cookies and UTM params, and serve rewritten HTML based on a rule set we'd define. We got a prototype working. Then we looked at the maintenance surface managing hundreds of rules across dozens of campaigns, keeping variant copy current, handling edge cases for missing signals and quietly shelving it.

The signal-reading was solvable. The experience generation at scale was not. Writing and maintaining personalized copy for every permutation of audience × campaign × keyword isn't an engineering problem. It's a content-at-scale problem that no rule engine fixes cleanly.

The Shift: From Rule Engine to Agentic Layer

This is where Fibr AI changed our thinking.

Fibr AI isn't a testing tool or a variant manager. It's an Agentic Experience Layer, a system that sits between your traffic and your existing website, without requiring a rebuild, and turns each URL into an autonomous agent.

Here's the mechanism, plainly:

Step 1 — Signal capture. Fibr decodes incoming visitor context: ad source, keyword, campaign, geo, device, behavioral signals, lifecycle stage, CRM and CDP data, and even whether the visitor arrived from an AI tool like ChatGPT or Claude.

Step 2 — Context resolution. It resolves the "who, what, why" that a static URL has no way of answering on its own.

Step 3 — Experience rewrite. Before the page loads, Fibr rewrites the elements that matter most: headline, hero section, primary CTA, supporting copy, and framing. Not from a fixed variant library generated and matched to the specific signal combination of that visitor.

Step 4 — Autonomous learning. Every session is a learning event. Fibr identifies what's working across cohorts and scales winning patterns without a human kicking off a new test cycle each time.

This is the part that made the biggest architectural difference for us. Traditional A/B testing runs at human speed: you form a hypothesis, build variants, wait for statistical significance, and deploy. That cycle takes 2–4 weeks per test. Fibr's learning loops run per session. You go from hypothesis to winning pattern in roughly 3 days.

For AI personalization at campaign scale, the compounding effect is significant. Each new visitor session makes the system marginally smarter. No manual reset required.

What Actually Changed on Our End

Practically speaking, here's what the implementation looked like:

No site rebuild. Fibr sits as a layer on top of the existing stack.
No developer is required to launch new personalization rules for new campaigns.
UTM parameters, audience list membership, and geo signals feed directly into Fibr's signal layer.
Dynamic landing pages are no longer a set of discrete files; they're a single URL that generates the right experience per visitor.

The pages stopped being documents and started behaving more like API responses: same endpoint, context-dependent output.

For a developer audience, that mental model is the clearest way to explain what an Agentic Experience Layer actually is. The URL is the interface. The agent handles the response logic. The visitor gets a rendered experience that matches their context, not a cached page that was built for a hypothetical average user.

Outcomes Worth Naming

We saw a 30% reduction in CAC without changing the underlying ad strategy. Quality Scores improved which makes sense, because the message match between ad and landing experience is a direct input into Google's scoring model. Bounce rates on high-intent URLs dropped by roughly 10%.

The more interesting outcome was operational: our growth team stopped waiting on development cycles to test new personalization hypotheses. Fibr handles the execution. The team handles the strategy.

What We'd Tell Anyone Starting From Scratch

Don't start by building a rule engine. The combinatorial complexity of signals × campaigns × audiences × copy variants compounds fast, and you'll spend more time maintaining the system than learning from it.

Start by finding a platform that reads signals natively, generates experience variations without manual content authoring for every permutation, and learns continuously across sessions.

That's the architecture that scales. Everything else is a prototype.

For teams evaluating this space seriously, the Fibr AI blog covers the technical and strategic dimensions of building signal-matched experiences at enterprise scale worth reading before you commit to a direction.

The shift from static pages to agentic URLs isn't a UX improvement. It's an infrastructure upgrade. And like most infrastructure upgrades, you don't notice how much it was costing you until it's no longer a constraint.

How Businesses Can Build a Better Customer Journey in 2026

Zoe Rivera — Tue, 07 Jul 2026 10:28:59 +0000

You've probably seen the pattern. Paid media is bringing in traffic. The site looks decent. Sales or support keeps hearing the same objections. Checkout drop-off feels too high, or trial users stall before first value, or property leads go cold between enquiry and follow-up. Everyone is working, but the customer experience still feels fragmented.

That's usually when teams start talking about customer journey mapping. Not because they want a workshop. Because they need a shared view of what buyers are doing, where they're hesitating, and which fixes are most likely to move revenue.

Done well, a journey map clears up arguments fast. It shows where discovery starts, which handoffs break, what customers expect at each stage, and which pain points deserve product, UX, media, or operational attention. Done badly, it becomes a tidy diagram that nobody uses after the meeting.

Beyond the Pretty Picture Why Journey Mapping Matters
A journey map is not a UX ornament
What works and what wastes time
Laying the Groundwork Before You Map
Start with one commercial problem
Choose a tight cast of people and personas
Gathering Your Raw Materials for an Accurate Map
Use numbers to locate the leak
Use customer language to explain the leak
Read the data through a South African lens
Building Your Customer Journey Map Step by Step
Keep the structure simple enough to use
Fill the map from the customer point of view
Turn observations into owned actions
Activating Your Map to Drive Business Results
Translate friction into testable hypotheses
Pay attention to post-purchase leaks
Prioritise by commercial impact not by volume of complaints
Keeping Your Journey Map a Living Breathing Tool
Build a review rhythm
Treat the map like an operating document

Beyond the Pretty Picture Why Journey Mapping Matters

It's not a traffic problem for teams. For them, it's a coordination problem.

Media teams optimise for reach and click-through. CRO teams focus on landing pages and checkout friction. Sales wants better lead quality. Support wants fewer repetitive tickets. Each team sees a slice of the journey, then tries to solve its own slice. The result is predictable. A business can improve lots of local metrics while the end-to-end customer experience still underperforms.

That's why customer journey mapping matters. It gives the business one version of the truth. Not the ad team's truth or the support team's truth. The customer's.

The commercial stakes in South Africa are hard to ignore. Statistics South Africa reported that e-commerce turnover rose from R71.6 billion in 2019 to R218.3 billion in 2023, a rise of about 205% over four years. When digital buying grows at that pace, customer experience stops being a brand exercise and becomes a core operating discipline.

A journey map is not a UX ornament

A useful map does three jobs at once:

It exposes friction across teams. A campaign might attract strong intent, but checkout, delivery messaging, or onboarding may still break trust.
It aligns decisions to real behaviour. Instead of debating what customers “probably” do, teams work from observable paths and recurring objections.
It sharpens where revenue work should happen. Sometimes the fix is a landing page. Sometimes it's payment messaging. Sometimes it's better follow-up after purchase.

Practical rule: If the map doesn't change budget allocation, test priorities, or process ownership, it's decoration.

For eCommerce brands, this often means connecting the map to the full funnel, not just the transaction. If your acquisition and onsite experience aren't aligned, the handoff breaks early. A good reference point is this breakdown of an eCommerce sales funnel, because it shows why awareness, evaluation, conversion, and retention need to be treated as one system.

What works and what wastes time

The maps that work are usually narrow, evidence-based, and tied to a live business problem. The ones that fail tend to be broad, workshop-heavy, and written from the company's perspective.

A polished map can still be wrong. I've seen teams spend days colour-coding stages while skipping the hard questions. Why do mobile shoppers hesitate at payment? Why do trial users stop after setup? Why do delivery questions appear after checkout instead of before it?

Those are the questions that make journey maps valuable. They push teams past touchpoint inventories and into the mechanics of growth.

Laying the Groundwork Before You Map

The fastest way to waste effort is to start with a template.
Most weak maps fail before anyone adds a single touchpoint. The scope is fuzzy, the participants are wrong, and nobody agrees on the commercial question. Then the workshop ends with a neat document and no next step.

A professional writing notes in a notebook on a wooden desk to prepare for a strategy meeting.

Start with one commercial problem

A journey map needs a job. “Understand the customer better” is too vague to be useful. A better brief sounds like this:

Reduce checkout abandonment for first-time buyers
Improve trial-to-paid progression for one SaaS segment
Increase qualified enquiries for a property development page
Lower support-driven friction after purchase

When the problem is specific, the map becomes easier to build and much easier to use. The team knows which journey to analyse, which data to pull, and which decisions the output should inform.

A simple scoping table helps.

Question	Good answer	Bad answer
Business goal	Reduce friction before payment	Improve customer experience
Customer segment	First-time mobile shoppers	Everyone
Journey scope	Ad click to delivered order	Entire brand relationship
Decision needed	What should we test first	What do customers think

Choose a tight cast of people and personas

Customer journey mapping works best when the room includes the people who see different parts of the experience. Industry guidance recommends a cross-functional group of 7-18 participants, and one critique cited there notes that 67% of customer journey maps fail to drive any change. That's not a design problem. It's a buy-in and process problem.

The right participants usually include:

Marketing or paid media for acquisition intent, audience signals, and channel behaviour
Analytics or CRO for funnel evidence, event tracking, and experiment design
Sales or customer success where human follow-up affects progression
Support or operations because they hear friction nobody else sees
Product or web team to confirm what can be changed

Too many senior stakeholders can make the session political. Too few frontline people makes it fictional.

A journey map built without support and operations usually misses the real reasons customers lose confidence.

Persona scope matters just as much. Don't map for every buyer type at once. One of the biggest mistakes I see is trying to represent everyone in one artefact, which blurs the pain points until none of them are actionable. Start with the segment that matters most commercially, then add others only when the first map is being used.

A good prep checklist looks like this:

Name the business objective in one sentence.
Pick one primary persona and one core journey.
List the decisions the map needs to support.
Invite the people who own the critical touchpoints.
Block time for action planning before the workshop even starts.

Without that groundwork, teams end up mapping opinions. That's usually when the file gets saved, shared once, and ignored.

Gathering Your Raw Materials for an Accurate Map

Assumption-led maps feel efficient. They're also risky.

If you only ask internal teams how customers behave, you'll get confident answers that often conflict with each other. Marketing thinks the issue is message clarity. Sales thinks leads aren't serious. Support thinks the product explanation is weak. Analytics thinks the problem starts on mobile. Sometimes all four are partly right, but none of them sees the whole picture.

A diagram outlining methods for gathering Voice of the Customer through direct, indirect, and observational research approaches.

Use numbers to locate the leak

Quantitative data tells you where to look first. It won't tell you everything, but it will save you from chasing anecdotes.

For most businesses, the starting points are familiar:

Google Analytics 4 for landing page paths, funnel progression, device splits, and exit patterns
Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, or TikTok Ads Manager for channel intent and post-click quality
Hotjar, Microsoft Clarity, or similar tools for scroll depth, rage clicks, form hesitation, and repeat behaviour
CRM data for lead stage movement, lost reasons, and response timing
Shopify or platform reporting for checkout steps, payment choice, and order status patterns

If event tracking is messy, fix that first. A map built on broken instrumentation becomes a confident guess with charts attached. If you need cleaner implementation across forms, events, and funnel milestones, a specialised Google Tag Manager consultant can help make the journey measurable before you try to map it.

Use customer language to explain the leak

Qualitative data is where the map becomes human. It shows why people pause, mistrust, postpone, compare, or leave.

The most useful sources are rarely glamorous:

Support tickets show recurring confusion before and after purchase.
Live chat logs reveal the questions people ask when intent is high.
Sales call notes surface objections, timing concerns, and competitor comparisons.
Customer interviews expose motivations people don't write in forms.
Short surveys work well when they ask one or two precise questions instead of everything at once.

If your team needs a refresher on segmenting behaviour and motivations before mapping, this guide on what are user personas is a useful companion read. The important part is keeping personas grounded in evidence rather than demographics for their own sake.

A practical interview prompt works better than abstract CX language. Ask, “What nearly stopped you from buying?” or “What felt unclear right before you submitted?” Those answers are easier to map than “Tell me about your experience.”

Read the data through a South African lens

Context matters in customer journey mapping, especially in ZA. The 2024 General Household Survey found that 89.1% of households had access to a mobile phone, while internet access remained unequal. That changes how you interpret behaviour.

A desktop-first reading of the data can hide real friction. A user may discover your product on mobile, leave, return later on another device, or abandon because the network is unstable, the page is heavy, or payment feels awkward on a handset. Geography and connectivity also shape behaviour differently across audiences.

Field note: In South Africa, “high intent” doesn't always look like a smooth uninterrupted session. It can look like stop-start behaviour across devices, payment hesitation, and delayed return visits.

That's why strong maps account for mobile discovery, mobile payment, handoffs across devices, and lower-connectivity variants of the same journey. Without that layer, the map may look tidy while missing the experience many customers have.

Building Your Customer Journey Map Step by Step

Often, teams overcomplicate the work. They collect useful data, then try to build a master diagram that covers every audience, every edge case, and every internal workflow. The map becomes unreadable.

Keep it tighter than that.

A six-step infographic illustrating the process for creating a comprehensive customer journey map for business development.

Keep the structure simple enough to use

A strong mapping workflow is straightforward. Guidance from Harvard Business School notes using 4-7 personas at most, then following a sequence of defining the business goal, collecting data, mapping stages and touchpoints, capturing emotions and pain points, and tying each friction point to a measurable KPI and owner.

That sequence matters because it stops the map from becoming theatre.

A basic working structure usually includes these rows:

Row	What to capture
Stages	Awareness, consideration, purchase, service, loyalty, or your equivalent
Actions	What the customer is doing
Touchpoints	Where the interaction happens
Thoughts	What they're likely thinking
Emotions	Confidence, doubt, urgency, frustration, relief
Pain points	Specific friction or uncertainty
Opportunities	Changes worth testing or fixing
KPI and owner	How success is measured and who acts

Fill the map from the customer point of view

Don't start with internal channels. Start with the customer's job.

Take an eCommerce example. A shopper sees a Meta ad for a skincare bundle, taps through on mobile, lands on a product page, checks ingredients, scans reviews, adds to cart, hesitates at payment, then leaves. Later they return through branded search, complete checkout, and wonder when the parcel will arrive.

Now map that journey stage by stage:

Awareness

The customer notices the offer and asks, “Is this relevant to me?”

Consideration

They compare price, trust signals, product details, delivery expectations, and return confidence.

Purchase

They choose a payment method, complete forms, and decide whether the transaction feels safe and easy.

Post-purchase

They look for confirmation, delivery clarity, and reassurance that the order is progressing.

Repeat or refer

They decide whether the experience was smooth enough to buy again.
For each stage, write what the customer is doing in plain language. Then add the evidence. Not “user engages with funnel assets”. Write “reads reviews because the product claims feel bold”. Not “encounters onboarding barrier”. Write “stops setup because the integration instructions feel technical”.

Here's a good test. If support or sales wouldn't recognise the language, it's probably too abstract.

A short walkthrough can help if your team is new to the mechanics:

Turn observations into owned actions

A map becomes commercially useful when each pain point has somewhere to go.

If “payment feels risky on mobile” appears on the map, that should link to a real owner and a measurable next step. Maybe that means revising payment trust messaging, simplifying the form, testing wallet options, or changing the order of reassurance elements.

“Company-first maps look polished because they mirror internal structure. Customer-first maps are messier, but they reveal what actually blocks progression.”

A simple action format works well:

Section	Details
Pain point	Shoppers pause at payment because accepted methods aren't clear early enough.
Hypothesis	If payment options and trust cues appear earlier in the journey, more users will continue to checkout.
KPI	Checkout completion rate or payment-step progression.
Owner	CRO lead, eCommerce manager, or product owner.

That final column matters more than teams expect. Once a pain point has a KPI and an owner, the map stops being a workshop output and starts becoming an operating document.

Activating Your Map to Drive Business Results

Here lies most of the value, and many teams cease their efforts prematurely.

A customer journey map is not the deliverable. The deliverable is the set of decisions, tests, fixes, and operational changes that come out of it. If nobody changes media, messaging, UX, follow-up, fulfilment communication, or support flow, the business hasn't gained much.

A funnel diagram illustrating the four steps to activate a customer journey map for business results.

Translate friction into testable hypotheses

Every meaningful pain point on the map should become one of three things:

An experiment if the answer is uncertain and can be tested
A process fix if the issue is operational and obvious
A messaging change if trust or clarity is the gap

Examples by business model make this clearer. Looking at recent innovative marketing examples can also help teams identify creative ways to address customer friction across different stages of the journey.

For eCommerce
If shoppers hesitate after shipping is mentioned, test clearer delivery windows on product pages, cart, and checkout. If they ask the same pre-purchase questions in chat, move those answers higher up the journey.

For SaaS
If trial users sign up but don't activate, the map may show a gap between promise and first-use reality. That points to onboarding flow, setup guidance, in-app prompts, or lifecycle email changes.

For property
If leads submit forms but sales quality is poor, the map may reveal that ads and landing pages attract curiosity rather than purchase intent. That's a targeting and qualification problem, not just a form problem.

For healthcare
If patients register but do not complete intake forms, book follow-up appointments, or return to review care instructions, the map may reveal friction in onboarding, consent, document upload, or portal navigation. This is especially important for patient portal software, where trust, clarity, and smooth handoffs between patients and care teams shape adoption.

When teams start building a proper test backlog from these findings, tools for prioritisation, experiment tracking, and page analysis become useful. This review of conversion rate optimization tools is a good starting point if you need a tighter experimentation stack.

For luxury brands
For luxury brands, the customer journey is shaped by trust, exclusivity, and brand perception at every touchpoint. If high-value buyers engage with ads or landing pages but fail to enquire, the issue may be weak positioning, unclear value, or a lack of premium trust signals. Working with experienced Luxury Marketing Agencies can help brands refine messaging, improve digital experiences, and create campaigns that match the expectations of affluent customers.

Pay attention to post-purchase leaks

Generic guides often stop the map at conversion. That's a mistake, especially in South Africa.

Guidance on journey mapping best practices highlights an underserved ZA reality: delivery speed, payment choice, and trust strongly shape conversion and repeat purchase behaviour, yet many mainstream approaches fail to connect the map to these operational leaks after checkout. In practice, that means the most expensive problem may not be your ads or product page. It may be what happens after someone has already paid.

Common post-conversion friction includes:

Silence after payment that creates anxiety
Weak delivery communication that drives support volume
Unclear returns or fulfilment expectations that reduce repeat confidence
Payment method mismatch that blocks certain buyers before they finish

Businesses running WooCommerce stores can address payment friction directly with a dedicated WordPress payment solution like ConvesioPay, which offers branded payment links, multiple payment methods, and a streamlined checkout experience designed to reduce drop-off at this critical stage

This is one reason marketplace sellers often obsess over communication standards. If you want a useful example of how structured messaging affects trust and repeat behaviour in a marketplace setting, this piece on how to optimize Amazon communication strategy is worth reading.

Prioritise by commercial impact not by volume of complaints

Not every pain point deserves immediate work.

A smart prioritisation discussion asks:

Question	Why it matters
Does this friction block high-intent users?	Revenue impact tends to be higher
Is the issue repeated across channels?	Signals a systemic problem
Can we test or fix it quickly?	Fast wins build momentum
Who owns the change?	Unowned insights stall

Support may hear lots of minor complaints that don't affect buying behaviour much. Meanwhile, one underreported payment concern may be costing far more revenue. Good activation separates noise from critical insights.

The best maps create a ranked backlog, not a brainstorm wall.

Keeping Your Journey Map a Living Breathing Tool

A journey map goes stale faster than teams expect. New campaigns launch. Payment options change. The site gets redesigned. Delivery expectations shift. If the map stays frozen, people keep referencing an experience customers no longer have.

Build a review rhythm

Quarterly reviews are a sensible rhythm for active journeys, but the timing matters less than the discipline. Put the map back on the table when a KPI moves unexpectedly, when support themes change, or when a major product or funnel update goes live.

A useful review meeting is short and practical:

Check whether the mapped pain points still exist
Add new evidence from analytics, sales, and support
Retire fixes that have been resolved
Update owners and next actions where needed

Treat the map like an operating document

The map should live close to decision-making, not inside a forgotten slide deck. Product teams should refer to it when prioritising fixes. Media teams should use it to refine messaging and landing page alignment. Support and operations should use it to flag post-purchase friction before it becomes churn or lost repeat revenue.

The map is only “finished” on the day it stops reflecting reality.

This is the shift. Customer journey mapping works when it becomes part of how the business diagnoses problems and chooses what to improve next. Not a workshop. Not a ceremony. A working tool.

Top Fintech APIs for Startup

Zoe Rivera — Thu, 14 May 2026 13:03:34 +0000

Building a fintech product means making critical infrastructure decisions early. The APIs you choose determine your technical debt, compliance burden, and ability to scale for years to come.

Instead of listing 20 APIs with shallow descriptions, this guide breaks down the fintech API landscape by actual business need, explains the hidden integration trade-offs, and shows you when unified API solutions prevent the maintenance nightmare that derails most startups.

The Financial Impact of API Strategy

The global open banking market is projected to reach $135.17 billion by 2030. McKinsey estimates AI could enable $1 trillion in global banking revenue shifts by the same year. These projections drive the infrastructure decisions startups make today.

But here's what those projections don't capture: most startups fail at integrations not because they chose the wrong APIs, but because they underestimated the maintenance burden.

Every API you integrate directly means authentication logic to maintain, rate limiting to handle, breaking changes to absorb, and data normalization to manage. A simple feature like "sync transactions" becomes a switch statement with fifteen cases when you're managing Stripe, Plaid, QuickBooks, and three other providers. Each case handles auth differently, maps fields uniquely, and fails in its own way.

Your codebase fragments into provider-specific branches. API providers don't coordinate their breaking changes. Plaid updates its transaction categorization. Stripe changes their webhook format. QuickBooks modifies its OAuth flow. Your test matrix explodes, but coverage remains incomplete because you can't predict every interaction.

The Money Movers: Payments and Transfers

Payment Processing

Stripe remains the default choice for startups. It handles card payments, ACH transfers, subscriptions, and payouts with a developer experience that sets the industry standard. The platform powers millions of businesses across 50+ countries, supporting companies from early-stage startups to enterprises like Amazon and Shopify.

Stripe's real advantage is the ecosystem. Stripe Treasury embeds banking features directly into products, including FDIC-insured deposits, cards, and interest-earning balances. Shopify, Lyft, and Deel use this infrastructure to manage financial accounts at scale. For startups building platforms, Stripe Connect handles marketplace payments and seller onboarding.

Adyen targets enterprise-grade needs with global payment processing across 200+ countries. For startups building for international markets from day one, Adyen's unified commerce approach handles in-person and online payments through a single integration. The tradeoff is complexity; Adyen's learning curve is steeper than Stripe's.

Square works well for startups serving physical retail or SMB markets with its point-of-sale integration and straightforward pricing. The hardware ecosystem (terminals, readers) makes it attractive for omnichannel commerce.

ACH and Bank Transfers

Dwolla excels at ACH payments with instant bank-to-bank transfers, wallet-based flows, and high-volume payouts. Payroll apps, lending platforms, and B2B marketplaces rely on this infrastructure. Dwolla handles the compliance complexity of moving money between bank accounts at scale.

Modern Treasury solves the reconciliation problem. When your startup handles large financial flows, matching payments to invoices across multiple sources becomes a full-time job. Modern Treasury automates payment ops, real-time reconciliation, and ledgering across ACH, RTP, and wire transfers. It's built for companies where money movement is core to the product.

The Data Layers: Banking Connectivity and Identity

Banking Data and Account Connectivity

Plaid dominates this category, connecting applications to thousands of banks and credit unions. Its API provides normalized financial data, including balance checks, transaction histories, account authentication, and identity verification. Personal finance apps use Plaid for spending insights, lenders use it for credit risk assessments, and neobanks integrate it for instant account verification. For teams tracking open banking APIs across different regions, the Open Banking Tracker provides data on 3,200+ open banking and PSD2 APIs globally. It helps understand coverage gaps when expanding internationally.
MX offers a strong alternative for data enrichment and transaction categorization. Personal finance management products benefit from MX's cleansing and analytics capabilities beyond basic connectivity.
TrueLayer focuses on open banking and PSD2-compliant services in Europe with instant account-to-account payments and financial insights. If your primary market is the UK or EU, TrueLayer's regional expertise matters.
Yodlee connects to over 16,000 global data sources. Wealth management apps integrate Yodlee for consolidated portfolio views, while lenders use it to assess customer liabilities before loan approval.

Identity Verification and KYC

Onfido handles government ID verification, facial recognition, liveness detection, and fraud detection. Regulatory compliance determines whether you can operate, making this category critical for any fintech handling customer funds.
Alloy powers automated risk checks by pulling data from bureaus and identity networks. Banks and neobanks use Alloy's risk engine to approve users with less manual review while maintaining compliance. The decisioning workflow builder lets you customize approval logic without code changes.
Sardine uses behavioral biometrics and machine learning to catch what traditional checks miss: suspicious login attempts, unusual spending patterns, device spoofing, and account takeovers. If your app handles money movement, Sardine adds a protection layer that document verification alone can't provide.

The Back Office: Accounting, ERP, and HRIS

This is where most startups underestimate complexity.
The challenge isn't just connecting to one accounting system. It's that your customers use different systems. QuickBooks, Xero, NetSuite, Sage, FreshBooks, and dozens of regional platforms each have distinct authentication flows, data models, rate limits, and field mapping requirements.
What looks like "add QuickBooks integration" on a roadmap becomes a three-month project. Then customers ask for Xero. Then, enterprise prospects require NetSuite. Each integration multiplies your maintenance burden. Your engineers become integration specialists rather than product developers.

Accounting and ERP Integration

QuickBooks Online holds approximately 80% market share among US small businesses. If you're serving American SMBs, QuickBooks integration is expected. But Intuit's API has authentication quirks, sandbox limitations, and data models that require dedicated engineering time to handle correctly.
Xero dominates the SME market in Australia, the UK, and New Zealand. International expansion means another separate integration with different conventions.
NetSuite and Sage Intacct serve mid-market and enterprise customers with multi-entity structures and complex financial requirements. These integrations are significantly more complex than SMB accounting platforms. Multi-subsidiary consolidation, custom fields, and approval workflows add implementation time. For detailed guidance on accounting API selection, see Top 15 Accounting APIs to Integrate with in 2025.

The Unified API Alternative

This is where unified API platforms become relevant. Instead of building and maintaining separate integrations for each accounting system, unified APIs let you connect once and access multiple platforms through a standardized interface.

The approach trades some customization depth for dramatically reduced maintenance. You lose access to provider-specific advanced features, but you gain consistent data models, centralized authentication, and a single codebase instead of 15.

Apideck's Accounting API is one solution in this space alongside Kombo, Finch, and Merge, providing access to 20+ accounting systems through a single integration. For implementation details on handling expenses and bills across platforms, see Integrating Expenses and Bills with the Accounting API.

HRIS and Payroll Integration

Fintech products increasingly touch workforce data for payroll integrations, employee verification, or benefits administration. Gusto, ADP, BambooHR, Rippling, and Workday each require separate integrations with distinct APIs and authentication flows.

Unified HRIS APIs normalize employee data across these platforms. Payroll automation through standardized integrations allows companies to scale without additional engineering investment per provider.

Lending and Investment APIs

Lending and Credit

Experian provides credit scoring and risk assessment through its credit bureau database, delivering real-time credit histories and fraud checks. BNPL providers and underwriting platforms use it for risk-based decisioning.
Finicity (now part of Mastercard) offers cash flow analytics and income verification, replacing paper-based income proofs for mortgage lenders and personal loan providers. The shift to real-time income verification is accelerating across lending categories.

For startups building embedded lending workflows, accounts receivable tools can help automate invoice collection, cash-flow tracking, and financing operations. For more details, see From Accounts Receivable to Lending Automation.

Investment and Trading

Alpaca offers commission-free trading APIs for developers building trading apps and algorithmic platforms. Its startup-friendly approach and documentation quality make it accessible for early-stage fintech.
Polygon.io provides stock market data, news, and analysis for investment platforms and trading apps that need real-time market information.

Embedded Finance Considerations

Non-financial companies are embedding payments, lending, insurance, and banking features into their products. This isn't a future trend; it's the current expectation across industries.

Vertical SaaS platforms add financial workflows to increase stickiness and revenue per customer. Construction software embeds equipment financing tied to project milestones. Healthcare platforms offer working capital based on insurance receivables. Restaurant systems provide cash advances against future credit card sales.
Marketplaces offer seller financing and instant payouts to attract supply-side participants. HR platforms embed earned wage access and benefits management to differentiate their offerings.

Building embedded finance requires integrations across accounting, banking, payments, and lending APIs, supported by professional website development to ensure these systems work together securely and efficiently.

This is where unified APIs provide the most value by reducing the integration surface area while maintaining breadth of coverage. The technical burden extends beyond initial implementation; each category adds compliance surface area and ongoing maintenance.

When to Use Direct vs. Unified APIs

Every API integration increases your compliance surface area. Financial data requires SOC 2 compliance, data residency controls, and comprehensive audit trails. This context matters when evaluating the direct vs. unified decision.

Direct integrations make sense when:

Your entire business runs on one provider, and you need every advanced feature
You have dedicated integration engineers for long-term maintenance
You're pre-product-market-fit and only need one or two integrations
Your competitive advantage depends on deep optimization for a specific platform

Unified APIs make sense when:

Customers demand multiple integrations across a category
Engineering time goes to integration maintenance instead of product development
You need enterprise integrations (NetSuite, SAP, Workday) without enterprise engineering overhead
You're scaling rapidly and can't afford three-month integration projects for each new provider

For detailed analysis, see Unified APIs for Fintech: When Point Integrations Stop Scaling.

Recommended Stacks by Product Type

**Neobank: **Plaid + Unit or Stripe Treasury + Onfido + Unified Accounting API
Lending platform: Plaid + Experian/Finicity + Alloy + Dwolla + Unified Accounting API
Expense management: Stripe + Unified Accounting API + Unified HRIS API
Vertical SaaS with financial features: Stripe + Unified Accounting API + Unified HRIS API

Next Steps

Fintech API strategy isn't about choosing the "best" APIs. It's about building an integration architecture that scales without consuming engineering capacity.

Direct integrations make sense for core payment and banking infrastructure, where you need deep control. Unified APIs make sense for customer-facing integrations that require breadth without maintenance overhead.
The startups that scale treat integrations as strategic infrastructure rather than feature checkboxes.

How Smart Contracts Work (Without Coding Jargon)

Zoe Rivera — Fri, 24 Apr 2026 13:23:17 +0000

TL;DR:

Smart contracts are self-executing agreements written in code that automatically execute when certain conditions are met. They function on blockchain technology, removing the need for a middleman, as the terms are directly embedded in the code. Understanding how smart contracts work reveals how they securely and automatically enforce agreements without human intervention.

What is a Smart Contract?

A smart contract is a self-executing digital agreement that lives on a blockchain. Think of it like a vending machine for transactions: once the right input is provided, such as money, data, or an action, the contract automatically delivers the agreed outcome without needing human involvement.

It replaces the need for middlemen like banks or lawyers by using transparent, tamper-proof code that runs exactly as programmed. Once deployed, it can't be changed, making it a secure and trustworthy way to handle agreements online. In smart contracts, these conditions and actions are written in code, and once the conditions are met, the contract automatically executes without anyone needing to do anything manually.

How Does It Actually Work?

Here’s a step-by-step breakdown of how a smart contract works:

Agreement Made Between Two Parties

Two parties (Party A and Party B) decide to enter into an agreement. For instance, one party may agree to send a payment once the other party provides a service. Instead of using a third party to monitor this, they write down their agreement in a smart contract.

Smart Contract Code Is Created

The terms of the agreement (conditions and actions) are written in computer code by the parties. This code is stored on a blockchain, a digital ledger where all transactions are recorded. The smart contract is self-executing, meaning it will automatically trigger once the conditions are met.

Execution Happens Automatically

Once the specified conditions are met, the smart contract is automatically triggered. For instance, once the service is provided, Party A's payment will be automatically sent to Party B.

Blockchain Verifies Everything

The blockchain acts as a secure, transparent, and immutable record. It verifies the transaction, ensuring that once the conditions are met, the contract is executed, and the action cannot be undone or tampered with. This makes it highly secure.

Real-World Example: Renting an Apartment with a Smart Contract

Step 1: Agreement is Written

You and the landlord agree:
“If you pay 1 ETH (a type of cryptocurrency), you get the digital key to access the apartment.”
This rule is written into the smart contract and uploaded to the blockchain.

Step 2: It’s Live on the Blockchain

Once uploaded, the contract is stored publicly and securely. No one can change it, not even the landlord. It's like carving the rules into a digital stone.

Step 3: You Take Action

You send 1 ETH to the smart contract. It sees that you followed the rule (condition is met).

Step 4: Automatic Execution

The contract instantly sends you the digital key (or unlocks the smart lock on the door).
No landlord approval needed. It’s all automatic and trustless.

Step 5: Permanent Record

The whole process is recorded forever on the blockchain. It’s visible to anyone and can’t be changed. This makes it secure and tamper-proof.

Why Are Smart Contracts Important?

Smart contracts remove the need for a trusted third party, which is a major benefit across various industries. They fundamentally change the way agreements are made and enforced, offering a faster, cheaper, and more secure alternative to traditional methods.
Here’s why smart contracts matter so much:

Efficiency

Transactions are automated, reducing the time and administrative costs associated with traditional contracts.
Because there’s no need for intermediaries like lawyers, brokers, or banks, processes that once took days or weeks can now happen in seconds or minutes.
Smart contracts also reduce human error and delays that often come with manual processing.

Security

Smart contracts use blockchain technology, which makes transactions highly secure and resistant to tampering or hacking.
Every action taken by the contract is recorded immutably on the blockchain, providing a permanent and verifiable audit trail.
The decentralized nature of blockchain reduces the risk of a single point of failure.

Transparency

Because smart contracts are stored publicly on the blockchain, anyone with permission can view the terms and the execution history.
This full visibility builds trust among parties and removes the possibility of hidden clauses, manipulation, or misinterpretation.
It also makes disputes easier to resolve, since all records are publicly verifiable.

Trust

In traditional contracts, trust relies heavily on the integrity of intermediaries or counter-parties.
With smart contracts, trust is placed in the technology — the code executes actions only if the agreed-upon conditions are fulfilled, leaving no room for bias or deception.
Parties who have never met can do business confidently without fear of fraud.

Cost Savings

Eliminating middlemen like banks, legal advisors, and notaries significantly lowers transaction costs.
Smart contracts reduce overheads related to dispute resolution, contract management, and enforcement.

Accuracy

Since contracts are executed automatically based on exact inputs, there is less room for manual errors compared to paper-based or manually-enforced contracts.
Every step is precisely carried out according to the coded instructions.

Global Accessibility

Smart contracts aren’t bound by national borders — anyone with internet access and a crypto wallet can participate.
This opens up opportunities for businesses and individuals in underserved regions, reducing barriers to global trade and financial inclusion.

Innovation and New Business Models

They allow startups and industries to create more dynamic, user-driven systems that were impossible under traditional centralized models..
Smart contracts enable entirely new types of applications, like decentralized finance (DeFi), decentralized autonomous organizations (DAOs), NFTs, and blockchain-based supply chain tracking.

Conclusion

Smart contracts are more than just a buzzword. They represent a new way of handling agreements that’s faster, more secure, and more transparent than traditional methods. By eliminating the need for intermediaries and automating processes, they have the potential to transform industries such as real estate, supply chain management, and finance. As the world continues to shift toward decentralization, smart contracts will play a crucial role in shaping the future of business.

FAQs

Are smart contracts only used in blockchain?

Yes, smart contracts work within the blockchain ecosystem because they rely on its decentralized and secure nature, and without blockchain, they wouldn’t function the same way.

Can smart contracts be changed once deployed?

No, smart contracts are immutable once deployed on the blockchain, meaning no one can change them after they are put into place.

Do smart contracts need a middleman?

No, one of the main benefits of smart contracts is that they eliminate the need for middlemen like banks, lawyers, or notaries, because the contract automatically enforces itself once conditions are met.

What happens if there’s an error in the smart contract?

If there’s a mistake in the code, it could lead to unintended actions, which is why thorough testing and auditing are critical before deploying a smart contract.

Can smart contracts be used in any industry?

Yes, smart contracts have wide applications across industries such as finance, real estate, insurance, supply chain management, and many more.

Are there any risks with using smart contracts?

Yes, while they are secure, smart contracts can still have risks like bugs in the code or human errors when defining terms, so auditing and testing are essential.

10 Must-Use APIs for Your Next SaaS Project

Zoe Rivera — Fri, 17 Apr 2026 07:20:49 +0000

Building a SaaS product requires integrating various APIs to handle critical tasks such as payments, authentication, communication, and more. Here are 10 must-use APIsfor yournext SaaS development:

1. Stripe (Payments)

Stripe is the go-to API for processing payments in SaaS platforms. It allows you to handle one-time payments, subscriptions, invoicing, and international currencies.

you can find stripe here

2. SendGrid (Email Delivery)

sendGrid is used For transactional and marketing emails, SendGrid offers a robust email API. It ensures emails from your SaaS platform are delivered reliably to users.

you can find it here

3. Auth0 (Authentication & Authorization)

Auth0 simplifies authentication, allowing SaaS platforms to implement secure login flows with ease, supporting SSO, multifactor authentication, and social logins.

you can find it here

4. Mailtrap (Email Delivery)

Mailtrap is an email API for sending transactional and bulk emails at scale. It includes official SDKs for Node.js, Python, PHP, Ruby, Java, .NET, and Elixir, has an automatic SPF, DKIM, and DMARC setup, and real-time webhooks for delivery events.

You can find it here.

5. Twilio (Communication)

Twilio is widely used for SMS, voice, and video communication. It’s perfect for building features like two-factor authentication, customer support chat, or SMS notifications.

you can find it here

6. AWS S3 (File Storage)

If your SaaS platform involves file uploads or media storage, AWS S3 provides scalable cloud storage at low cost.

you can find it here

7. Firebase (Real-time Database & Hosting)

Firebase offers real-time databases, authentication, and serverless hosting. It’s ideal for SaaS products that need real-time data sync and cloud functions.

you can find it here

8. Zapier (Automation)

Zapier allows SaaS apps to connect with over 2,000 other services for automating workflows. Users can integrate your SaaS app with other tools like Google Sheets, Slack, or CRM systems.

you can find it here

9. Pusher (Real-time Notifications)

For real-time notifications, Pusher’s APIs allow you to implement in-app notifications, chat features, and collaboration tools easily.

you can find it here

10.Plaid (Banking & Financial Data)

Plaid allows you to connect user bank accounts to your SaaS platform, enabling services like payment processing, lending, or personal finance management.

you can find it here

11. New Relic (Monitoring & Analytics)

New Relic helps monitor your SaaS product’s performance, ensuring that you can identify issues before they impact users.

you can find it here

I Explored 30+ Free AI Website Builders — Here Are the 7 Absolute Best

Zoe Rivera — Fri, 03 Oct 2025 09:53:52 +0000

If you follow me, you probably know I started out as a web developer.

I've written tons of code to build websites from scratch — and let me tell you, it was not at all easy. The debate between using a website builder vs coding has always been a hot topic.

But things have changed.

Thanks to AI website builders, generating websites is now ridiculously easy - even if you have zero coding experience. And in the past 2 years, I've tried over 30 free AI website builders myself.

I used them to make websites for me and my clients, saved a lot of time, and yes, made some good money too.

The best part? Along the way, I've found out some of the best & free AI website builders, and that's what I want to share with you today.

Just so you know, most "free" AI website builders come with some limits.

You usually have to pay if you want to use your own domain name, get rid of ads, or try out extra features.

Note: In this post, I'm going to show how the free AI website builders generate some great website designs. I'm not going to edit them further, since I want to focus purely on the generation. Also, this post contains a few affiliate links. If you choose to become a paid member through them, I may earn a small commission - at no extra cost to you.

With that said, let's get started.

The problem with most "free AI website builders"

If you Google "free AI website builder", you'll actually find tons of options.

But after testing 30+ of them myself, I can confidently say - most of them are simply useless.

Some just provide you with generic pre-made templates and call it "AI". And others generate weird, broken designs that no one in their right mind would ever use.

So yeah, I'm not here to waste your time talking about those.

I'm going to share some AI website builders that can make good-looking websites just from the prompt you write. They're simple to edit, and you can publish your site with a free subdomain too.

The only catch? Most of them include some branding or ads unless you pay to remove it.

And in this post, I'm focusing on the 7 best free AI website builders that:

Are genuinely easy to use
Generate modern, responsive designs based on your prompt
Let you customize the website further without writing code
Allow free publishing (at least with a subdomain)
With that said, let's dive into the recommendations.

With that said, let's dive into the recommendations.

1. Fiverr Website Development Service

I know this is not technically an AI website builder, but I need to include it here just to save your time and frustration.

Let me be honest - most of the free AI website builders are not actually free. You need to pay to connect to a custom domain, remove the branding, or use some features.

And also, you need to spend your time finding the best AI website builder, and then design the website for hours, and then pay to get it live.

Instead, you can simply head over to Fiverr (since it's trusted and affordable platform), search for "website development", and then hire an expert at an affordable price.

Sure, you can even search for "wordpress website", "wix website", "shopify website", and more.

And then apply the filters to find the specific freelancers based on different categories, budget, and more.

Lastly, see the ratings and reviews of the selected freelancers, and then hire the one that you prefer.

If you want, here are some of the best freelancers you can hire (I've been hiring web developers for more than 3 years, so I'm recommending them to you):

Suhag A (for custom web app)
Alex Jason (for custom web app)
Waqar H (for WordPress website)
Khalid M (for WordPress website)
Shabir (for Shopify website)

Well, this will actually save your time, and you will get your own personalised website from an expert rather than an AI website builder that is not so smart.

2. Butternut AI

Now, this website builder claims that you can generate your dream website within 20 seconds, and you can get started for free.

I’m talking about Butternut AI.

You just need to visit their website, and then write a specific prompt about what you want to generate, along with the name of your business.

I’ve written this prompt:

Create a clean and modern personal portfolio website for a freelance content writer named Nitin Sharma. The homepage should include an introduction, writing samples, testimonials, and a contact form. Make it SEO-optimized and mobile-responsive. Use a minimalist design style with a black and white color palette, and include links to Substack, LinkedIn, and Twitter.

And here’s what it generated:

And the best part?

I can regenerate the complete website, build a new section with AI, ask AI for more, and edit everything easily by the intuitive editing functionalities. The coolest thing I liked was that you can use the ‘Ask with AI’ feature, and it does everything for you.

Talking about the pricing, you can get started for free to try it out, and your free website remains live for 5 days and when you’re ready to take it live, you can upgrade to a paid plan.

As you can see, with the $20 per month plan, you can link one custom domain, create unlimited edits and customizations, generate unlimited pages, get automated SEO, and more.

After seeing these features and the insane website it generated, I need to say it’s one of the best AI website builders for those who want to build their dream website with ease.

3. Durable

Most of you may have heard about this one since it is already very popular, and so far has generated over 10 million websites since launching. This website builder is known for being the fastest website builder, giving you a fully functioning site in under 30 seconds.

And besides being a website builder, it also gives the ability to generate articles and content for a blog and provides products like a brand builder and even an invoice builder.

Essentially, it helps you to start and run your entire business from within the Durable dashboard.

I’m talking about the Durable AI Website Builder.

To get started, simply visit the Durable website and write about the website you want to generate.

I tried by writing a simple prompt, i.e.,

I run a content writing business that helps founders, creators, and companies grow with high-value articles, newsletters, and blog posts.

I write clear, engaging, SEO-friendly content that ranks on Google, goes viral on Medium/Dev.to, and builds loyal audiences on Substack.

My focus is on results.

Website should include:
• A strong headline showing authority in content + growth
• About Me: writer with proven results (viral posts, ranked articles)
• Services: blog writing, newsletters, SEO content
• Why Work With Me: trust, traffic, sales
• Contact/Hire Me call-to-action

Tone: Professional, direct, and impact-driven.
Design: Clean, minimal, easy to read.

And based on this prompt, here’s what it generated:

Insane, right?

And the best part? I haven’t edited anything in the above outputs, it’s all generated by AI.

Sure, I can further customize it the way I want.

Talking about the pricing, you can generate your websites and customize them for free, but to publish and use more advanced features, you need to upgrade to one of their paid plans.

4. Wix AI Website Builder

Now, let's talk about one of my favorite, and one of the best AI website builders out there.

I'm talking about Wix AI Website Builder, and the company behind it started adding AI features over 5 years ago.

And to be honest, when they launched the "AI Website Builder" - maybe in the year 2024 - I was one of the first to use this feature.

So far, I've made at least 25 to 30 websites using this AI website builder for my clients, and it made some of the best website designs.

But how to get started?

You just need to visit their AI website builder page and click on the button "Create with AI".

You then need to sign up, and then it will chat with you to get to know what you want to create.

It asked me about what I want to create, the name, the goal, the target audience, and then it got all the info, as you can see on the right side.

And then based on that, here's what it created:

I liked it, and it published the website with a free subdomain of Wix, with a bit of ad at the top, and it's completely free.

And sure, I can further customize it the way I want.

Talking about the pricing for to get custom domain and more features, the plans start from $17 per month and go up to $159 per month.

5. Framer

Well, I'm actually a big fan of Framer, and I've even advertised them in some of my previous posts for free.

And after building a ton of websites with Framer, I need to say they are one of the best in generating websites with AI.

But how do you get started?

Well, you just need to visit their website, and then click on the button "Start for free".

And then you need to create an account using Google or through email.

After that, you will be redirected to a project, where you just need to go to "Main Menu → File → Generate Page" to generate with AI, as you can see below.

You can even search for "Generate Page" using "Ctrl/Cmd + K," and then write the prompt.

Here's a simple prompt that I wrote:

I want to build a portfolio website for me as a content writer so that clients can see my blogs, the platforms where I wrote, and can contact me for some work.

And here's what it generated:

Generated by Framer

Insane, right?

Talking about the pricing for to get custom domain and more features, the personal plans start from $5 per month and go up to $30 per month.

DEV Community: Zoe Rivera

How Businesses Can Protect Their Cloud Environment

What Is Cloud Security?

Understanding the Shared Responsibility Model

Identity and Access Management

Securing Cloud Data

Preventing Misconfigurations

Monitoring Cloud Environments

Protecting Cloud Applications

Managing Third-Party Access

Backup and Recovery

Cloud Security and Compliance

Conclusion

Influencer marketing for legal and professional services firms

Why influencer marketing works for fintech

How to find and vet fintech creators who convert

Prioritize financial intent over follower count

Micro vs. macro creators for fintech ROI

Vet creators for compliance readiness and credibility

Plan and run fintech influencer campaigns that perform

Campaign architecture for always-on vs. burst programs

Match content formats to banking, payments, and investing goals

Structure performance-based compensation for extended sales cycles

Build compliance guardrails that protect your brand

Set disclosure standards and content approval workflows

Prevent inaccurate claims without scripting every word

Measure fintech influencer ROI beyond vanity metrics

KPI map for funded accounts, deposits, and activations

Attribution stack and incrementality testing

Dashboards and cohort quality reporting

Scale into an always-on fintech creator program

Portfolio mix and operating cadence

Repurpose top-performing content with paid amplification

How to Build and Launch an Ecommerce App in 2026 Without Starting from Scratch

Why Apps Are Outpacing Mobile Websites

Two Routes to Building Your App

Ready-Made App Scripts and Clone Solutions

Custom Development

The Features Your App Needs in 2026

Getting Revenue and Billing Right as You Scale

Marketing the App After Launch

Link Retargeting and Smart URL Management

Product Seeding and Micro-Influencers

Attribution That Shows What Actually Works

Your Website Still Matters

Mistakes That Sink Ecommerce Apps

Launching Without Enough Testing

Treating Launch as the Finish Line

Underinvesting in Checkout

Ignoring Retention Until It Hurts

Final Thoughts

How Do Small Companies Do Contract Management with SharePoint?

Microsoft SharePoint as contract management software

Contract creation workflow

Contract templates

Approval workflow

E-signature integration

Contract search

Alarms and updates

Microsoft SharePoint Online contract administration: benefits for small businesses

Comfort.

Ease of use.

Scalability.

Integration.

Security.

Cost.

Afterthought

How We Built an AI-Powered Landing Page Personalization Engine

The Core Problem: Static Pages in a Dynamic Funnel

What We Tried First

What Actually Changed on Our End

Outcomes Worth Naming

What We'd Tell Anyone Starting From Scratch

How Businesses Can Build a Better Customer Journey in 2026

Table of Contents

Beyond the Pretty Picture Why Journey Mapping Matters

A journey map is not a UX ornament

What works and what wastes time

Laying the Groundwork Before You Map

Start with one commercial problem