AI Heatmaps: See Where Users Click (and Why They Don't Convert)

Most affiliate publishers, when conversion is too low, look for the problem in the offer, the creative, or the targeting. Rarely does anyone ask: maybe the user reaches the landing page, wants to sign up or click a link - and something on the page is stopping them or putting them off? Heatmap data shows that a UX problem is often more important than an offer problem.

AI-driven heatmaps turn user behavior analysis from a tedious, manual review of session recordings into an automated report with specific recommendations. Hotjar AI and Microsoft Clarity are tools that show not just where users click, but - thanks to AI - why your page isn't converting and what to change first. In this article, I'll show you how to use them in the context of MyLead affiliate campaigns.

What you'll learn from this article

• Why landing page UX often determines conversion more than the offer or creative

• How heatmaps work and what the AI layer adds to classic click analysis

• How Hotjar AI differs from Microsoft Clarity and when to choose which

• How to read heatmaps for mobile campaigns (mobile-first)

• 5 specific changes based on heatmap data with potential for significant conversion improvement

• How to implement a tool and draw your first optimization recommendation

Why UX kills conversion before the offer gets a chance

A user who lands on your landing page spends an average of 15-30 seconds there before making a decision: stay or leave. In that time they assess the page subconsciously - loading speed, readability, CTA button visibility, whether the form is intuitive. If anything raises doubts, the user leaves.

The problem is that the page creator sees it differently from the user. The creator knows where the CTA button is, understands the offer structure, and knows the context. The user sees the page for the first time, on a phone, often while doing something else. Heatmaps show you how the user really sees your page - not how you see it.

Three most common UX problems that destroy conversion on affiliate landing pages:

• CTA below the fold on mobile - the main button is only visible after scrolling. On a phone, most users never get there.

• Rage clicks - users click on elements that look clickable (underlined text, icons) but aren't. Frustration leads to leaving.

• Dead zones - sections of the page that the user's eye never reaches. If your key arguments are in a dead zone, they have zero influence on the decision.

How heatmaps work and what AI adds

A classic heatmap is a visualization of user behavior on a page: where they click (click map), how far they scroll (scroll map), where they pause the mouse (move map). Warm colors (red, orange) indicate areas of high activity; cool colors (blue) indicate ignored areas.

Classic heatmaps have one weakness: they require interpretation. You see the data, but you have to draw conclusions yourself: "Why isn't anyone clicking the CTA? Is it the button color, its position, the copy, or something else?" This is analytical work that requires experience and time.

AI adds an interpretation layer to heatmaps:

• Automatic problem identification - AI analyzes patterns and flags specific anomalies: "Your CTA button receives 40% fewer clicks than elements nearby - probable cause: lack of color contrast."

• Segmentation without configuration - AI automatically separates behavior across different user segments (mobile vs. desktop, new vs. returning) without any manual filter setup.

• Prioritized recommendations - instead of a list of problems to sort yourself, AI identifies which changes have the highest potential impact on conversion.

• Session summaries - AI generates text summaries of session recordings ("the user tried to click the form three times; the form wasn't responding on mobile"), which radically shortens recording review time.

Tools: Hotjar AI and Microsoft Clarity

Hotjar AI

Hotjar is one of the most popular platforms for user behavior analysis. It offers heatmaps, session recordings, surveys, and funnel analysis. The built-in AI (Hotjar AI) generates automatic session summaries, identifies rage clicks and dead clicks, and highlights page sections with the highest impact on conversion.

Strengths: The most complete UX analytics platform, integrations with Google Analytics, Segment, and popular CMSs. AI summaries are particularly useful for quickly reviewing dozens of session recordings without watching each one individually.

When to choose it: When you want a full UX platform with surveys, funnel analysis, and heatmaps in one place. Particularly useful for landing pages with forms, where it's important to understand at which form field users give up.

Pricing: Free plan with limits (35 daily sessions, 3 heatmaps). Paid plan from ~$39/month. For small landing pages with traffic up to a few hundred sessions per day, the free plan is sufficient for an initial analysis.

Pro tip: Enable the "Highlights" feature in Hotjar AI - it automatically extracts the most important moments from session recordings. Instead of watching 50 recordings at 3 minutes each, you get 10 key clips identified by AI.

Microsoft Clarity

Microsoft Clarity is a free tool for heatmap and session recording analysis with no session limits or time limits. The built-in AI generates reports on rage clicks, dead clicks, excessive scrolling, and other user frustration signals.

Strengths: Completely free, no session limits, direct integration with Google Analytics and Microsoft Ads. The automatic "Insights" report flags user behavior anomalies without any configuration.

When to choose it: As a first layer of UX analysis - especially on a limited budget. Clarity is the ideal tool for publishers who have never used heatmaps before and want to start without cost or complex setup.

Pro tip: In Clarity, check the "Dead Clicks" and "Rage Clicks" tabs as your first two reports after installation. Rage clicks (repeated clicks in the same spot out of frustration) are the fastest way to identify critical UX problems without any additional analysis.

How to read heatmaps for mobile campaigns

Most affiliate traffic comes from mobile. This means that analyzing a desktop heatmap for an affiliate landing page is analyzing a minority of your traffic. Always analyze heatmaps separately for mobile and desktop - behaviors differ dramatically.

Key elements to analyze on a mobile heatmap:

• Fold line - the boundary below which the average user doesn't scroll. On mobile, the fold is significantly higher than on desktop. Check whether your main CTA is above the fold on mobile devices.

• Thumb zone - the area of the screen that the thumb can naturally reach while holding the phone in one hand. Key elements (CTA, main links) should be in this zone. Elements in the corners of the screen are hard to reach with one hand.

• Tap targets - elements that users try to click. If a tap target is too small (less than 44×44px per Apple guidelines) or too close to another element, users will rage-tap in frustration.

• Scroll depth - how far the average mobile user gets. If scroll depth stops at a specific point, that's where a blocking element is (overly long text, an unreadable graphic, a slow-loading element).

5 quick wins: changes that can significantly improve conversion

The examples below are potential effects of UX optimization based on commonly reported patterns in the industry. Actual impact on conversion depends on the specific page, niche, and target audience.

Move the CTA above the fold on mobile

If the scroll map shows that only 40% of users reach where your main CTA button is - 60% of users never see the call to action. Moving the CTA above the fold (or adding a sticky CTA that follows scrolling) is often the single biggest change affecting conversion.

How to check it: In Hotjar or Clarity, check the scroll map for mobile. Mark the CTA position. If fewer than 70% of users reach the CTA - move it higher or add a sticky version.

Fix rage click elements

Rage clicks (report available in both tools) are places where users click repeatedly in frustration - because an element looks clickable but isn't, or loads too slowly. Every rage click element is a potential lost user.

How to check it: The "Rage Clicks" report in Clarity or Hotjar. List of elements with the highest rage click counts. Fix or remove each of the top 5.

Shorten the form to a minimum

Funnel analysis in Hotjar shows at which form field users give up. In CPL campaigns, every additional form field lowers the completion rate. If heatmap data shows users reach the form but don't submit it - check how many fields are required and whether you can remove any that the advertiser doesn't need at the first step.

How to check it: Funnel analysis in Hotjar or session recordings filtered by "form abandoned without submission." Check which field users most often give up on.

Remove distractions around the CTA

The click map may show that users click on elements around the CTA (navigation links, images, text) instead of the button itself. This signals that the area around the CTA is too "cluttered" and the user's eye loses track.

How to check it: Compare the click map with the CTA position. If elements neighboring the CTA collect more clicks than the button itself - simplify the area around the CTA, increase the button size, or improve color contrast.

Speed up above-the-fold loading

If the scroll map shows users don't scroll at all - the problem often lies in loading time. The user sees a blank screen or a slowly loading image and leaves before the page finishes loading. Check Google PageSpeed Insights and optimize above-the-fold elements (lazy loading for images below the fold, size optimization for images above the fold).

How to check it: If scroll depth on mobile is 0% for a large share of sessions - check Core Web Vitals in Google Search Console and PageSpeed Insights. Loading time above 3 seconds on mobile causes a significant share of users to leave.

Workflow: from installation to your first optimization decision

1. Install the tool (15 minutes). Microsoft Clarity or Hotjar - paste the tracking code snippet into the <head> section of your landing page. If you use WordPress, both tools have plugins for installation without editing code.

2. Collect data (minimum 7 days). Don't analyze heatmaps with a small sample. A minimum of 200-300 sessions per platform (mobile/desktop separately) gives a statistically reliable picture. With lower traffic - collect data for longer.

3. Check AI reports (30 minutes). In Clarity: the "Insights" tab → automatically detected anomalies. In Hotjar: the "Highlights" tab → AI summaries of key sessions. This is a starting point, not a complete analysis.

4. Review heatmaps separately for mobile and desktop (30 minutes). Scroll map, click map, move map. For each, answer: Is the CTA above the fold? Are there rage click elements? Are the key arguments in a high-activity zone?

5. Identify the top 3 problems and their potential impact. Prioritize changes based on how many sessions are affected by each problem and how close it is to the conversion path. A rage click on the form is more important than a rage click in the footer.

6. Implement one change and measure for 14 days. Don't implement all changes at once - you won't know which one affected the result. One change, 14 days of observation, decision on the next step.

Most common mistakes in heatmap interpretation

• Aggregate analysis without separating mobile and desktop. An aggregated heatmap for a page with 70% mobile traffic and 30% desktop shows an "averaged" picture that doesn't reflect the reality of either group. Always analyze separately.

• Too small a data sample. A heatmap from 30 sessions is random noise, not a pattern. A minimum of 200 sessions per platform before drawing any conclusions.

• Implementing all changes simultaneously. If you change the CTA position, button color, and shorten the form at the same time, you won't know what affected the conversion change. Test iteratively, one change at a time.

• Ignoring traffic context. A heatmap for Facebook ad traffic will look different from a heatmap for organic SEO traffic. A user from an ad has a different intent and engagement level. Segment data by traffic source.

• Optimizing the page instead of the path. A heatmap shows behavior on a specific page - but an affiliate conversion often requires several steps (landing page → click on link → advertiser's page → conversion). Landing page optimization is just one element of the full path.

Summary - heatmap analysis checklist

• I installed the tool (Clarity or Hotjar) and collected a minimum of 200 sessions per platform

• I checked the AI reports (Insights in Clarity, Highlights in Hotjar) as a starting point

• I analyzed the scroll map for mobile - the CTA is above the fold

• I checked the rage clicks and dead clicks report - fixed the top 5 elements

• I identified dead zones - key arguments are outside dead zones

• I verified loading time (PageSpeed Insights) - under 3 seconds on mobile

• I chose one change to implement and am measuring results for 14 days

• I have the next iteration planned after collecting data

FAQ

Is Microsoft Clarity really free with no limits?

Yes - Microsoft Clarity is completely free and has no limits on the number of sessions, recordings, or heatmaps. Microsoft funds the tool as part of its analytics ecosystem (integration with Microsoft Ads and Bing). For most affiliate publishers, Clarity is sufficient at no cost.

How many sessions should I collect before analyzing heatmaps?

A minimum of 200-300 sessions per platform (mobile and desktop separately). With lower traffic, collect data over 2-4 weeks rather than a few days. Conclusions drawn from 30-50 sessions are statistically unreliable and can lead to incorrect optimization decisions.

Do heatmaps work on single-page affiliate landing pages?

Yes - this is actually an ideal use case. A single-page landing page is a simple path to analyze: all traffic lands on one page, one conversion goal, no complex navigation. Heatmaps are more readable here than on multi-page websites with many subpages.

What are rage clicks and why do they matter?

Rage clicks are rapid, repeated clicks in the same spot - a signal of user frustration. Most common causes: an element looks clickable but doesn't respond; an element responds too slowly; a JavaScript error blocking interaction. Every rage click element is a potential lost conversion and should be fixed as a priority.

How often should I analyze heatmaps for my landing pages?

For active campaigns - at minimum once a month. After every major change to the page - once 200+ sessions have been collected with the new version. Heatmaps are dynamic data: a change in traffic (new source, new creative) can change user behavior patterns, so a one-time analysis isn't enough.

Have a landing page with a MyLead affiliate campaign and want to know where you're losing conversions? Log in to your account and contact your Affiliate Manager - they'll help you identify campaigns with the highest optimization potential and advise on conversion path configuration.