Click Heatmap vs Scroll Heatmap vs Move Heatmap: What Each One Shows and When to Use It

If you are trying to improve Activation in a SaaS PLG funnel, heatmaps can feel like three versions of the same answer: “users clicked here,” “users scrolled this far,” “users moved their cursor there.” The real value is knowing which map to open first for the problem you have, and how to validate the signal before you ship a change.

In this guide, you will learn what each heatmap type actually measures, what it cannot prove, and a practical sequence for using heatmaps plus replay to diagnose activation drop-offs. If you are evaluating tools, start with the FullSession heatmaps product page: FullSession Heatmaps.

  • If the problem is low clicks or mis-clicks, start with a click heatmap (action and intent).
  • If the problem is users not reaching key content, start with a scroll heatmap (visibility and exposure).
  • If the problem is confusion or scattered attention, use a move heatmap last (attention proxy), then validate with replay.

A reliable workflow is: Click (action), then Scroll (visibility), then Move (attention proxy), and finally Replay (ground truth). Pairing heatmaps with session replay is where teams stop guessing and start confirming: Session Replay.

A heatmap is an aggregate visualization of user interaction on a page or screen. It helps you answer questions like: where users try to act, what content is actually seen, and what areas might pull attention (cautiously for move maps). The key is to match the map to the kind of evidence you need: action, visibility, or attention proxy.

What it shows

A click heatmap aggregates where users click or tap. For activation work, it is strongest when you suspect users are trying to progress but failing, hesitating, or choosing the wrong path.

  • Primary CTA clicks
  • Navigation and secondary action clicks
  • Dead clicks (depending on tooling)
  • Rage clicks (depending on tooling)

What it does not prove

Click heatmaps do not tell you why a user clicked, whether a click led to a successful outcome, or whether the user saw the content before clicking. Treat clicks as intent signals, then confirm outcomes with funnel steps or replay.

What it shows

A scroll heatmap summarizes how far users scroll. It is most useful when activation depends on content that is below the initial view, such as setup guidance, proof, or the next step module.

  • Scroll depth distribution (who reaches 25%, 50%, 75%, 100%)
  • Fold and viewport interpretation hints
  • False bottoms where users stop because the page looks finished

What it does not prove

Scroll depth is not reading. Treat scroll as visibility and exposure, not engagement. Confirm real behavior with replay, segmented by device.

What it shows

Move heatmaps visualize cursor movement patterns on desktop. They can suggest exploration and deliberation areas, but they are best used as hypothesis generators.

What it does not prove

Cursor movement is not eye tracking. It can be distorted by device type, user habits, and the absence of a cursor on mobile. Use move maps cautiously, and validate with click, scroll, and replay.

“Users are not converting on the CTA”

Start with a click heatmap. Look for primary CTA share, dead clicks, and click dispersion. Then confirm the drop-off step using Funnels and Conversions.

“Users do not seem to see the thing we need them to see”

Start with a scroll heatmap. Look for early stop zones and false bottoms. Validate behavior with Session Replay, segmented by device.

“Users look lost or distracted”

Start with click, then scroll, then move (last). Confirm confusion patterns on replay, and check whether errors are involved with Errors and Alerts.

This sequence turns heatmaps into a decision system for activation work.

Step 1: Define the page job and success event

Action label: Define the activation micro-conversion. Choose one success event, such as “Connect integration,” “Create first project,” or “Invite teammate.”

Step 2: Segment before you interpret

Action label: Split by device and intent context. At minimum segment by device, new vs returning, and traffic source or entry path.

Step 3: Open the click heatmap first

Action label: Find intent and friction clicks. Look for CTA share, dead clicks on UI, and click dispersion that implies uncertainty.

Step 4: Use the scroll heatmap to confirm exposure

Action label: Check whether key modules were seen. Look for depth drop-offs and false bottoms created by layout cues.

Step 5: Use move heatmap only to form hypotheses

Action label: Spot attention hotspots carefully. If the hotspot is meaningful, you should see clicks nearby or replay evidence of deliberation.

Step 6: Validate with session replay before changing UI

Action label: Confirm the story in real sessions. Heatmaps show what happens in aggregate. Replay shows how it happens. Start with FullSession Heatmaps, then validate with Session Replay.

Misread: “Scroll to 80% means they read it”

Fix: Treat scroll as visibility, not engagement. Validate with replay and downstream events.

Misread: “Move heatmap is attention”

Fix: Treat movement as a proxy. Confirm with corresponding clicks or replay evidence of hesitation.

Misread: “Click heatmap proves the CTA is bad”

Fix: Clicks do not equal outcomes. Pair with funnel outcomes and error signals using Errors and Alerts.

Are move heatmaps useful on mobile?

Not directly. Mobile lacks cursor movement, so use click or tap maps, scroll exposure, and replay for mobile behavior.

Should I start with scroll heatmaps for landing pages?

Only if your main question is visibility. If the issue is action, start with click heatmaps.

What is the difference between dead clicks and rage clicks?

Dead clicks are clicks on non-interactive elements. Rage clicks are repeated clicks in a small area in a short time window. Replay is the best way to confirm the cause.

How many sessions do I need before trusting a heatmap?

Enough to represent the segment you care about. Use heatmaps for direction, then validate with targeted replay samples and conversion outcomes.

If you want heatmaps to drive activation improvements, treat them as a system: click for intent, scroll for visibility, move for hypotheses, and replay for validation. Start with FullSession Heatmaps, confirm behavior in Session Replay, and route the work into your activation program via PLG Activation Solutions.