CLASSES ↑ beginner to advanced ↓

What is CRO? What is Split Testing?

Why Split Testing Matters: Outsized Returns

Crafting a Full CRO Process: Diagnose, Prescribe, Try

Generating Ideas from Live Chat Logs

Generating Ideas from Frontline Staff

Generating Ideas from Heatmaps and Click Maps

Advanced Analytics: Scroll Depth, Rage Clicks, and More

Generating Ideas from Surveys

Using AI for CRO Insights

Identifying What to Test First: Effort vs. Impact

Running Your First A/B Test: Step-by-Step

On Page Tests vs. Full-Page Tests

Basic Stats for CRO: Reading Test Results

Avoiding False Positives: Statistical Pitfalls

Segmenting Users for Tests: Device, Source, and Audience

Running Multiple Tests: Traffic Allocation and Overlap

Building a CRO Subscription Service: Delivering Ongoing Value

CONVERSION RATE ACADEMY

Advanced Analytics: Scroll Depth, Rage Clicks, and More

Basic analytics tells you what happened. Advanced behavior analytics tells you why it happened. This class covers key behavioral signals – scroll depth, rage clicks, dead clicks, and hesitation – and how to convert them into experiments.

A website feature grid with six cards, each describing a tool or benefit, overlaid with a heatmap showing where users have clicked or focused their attention.

Signals and what they usually mean:

  • Scroll depth drop-off: users aren’t reaching key info → move proof/pricing/CTA up.
  • Rage clicks: frustration or broken expectations → fix UI, make elements clickable, clarify steps.
  • Dead clicks: users think something should work → add links, buttons, or clearer affordances.
  • Hesitation loops: users don’t interact or browse pages for a long time → unclear offer or trust gap.
A website pricing page for a WordPress optimization suite with a heatmap overlay showing areas of frequent user clicks, especially on buttons and links.
Dead click map showing people clicking on elements of interest.

Turn a signal into a test:

  1. Identify the signal on a specific page/section.
  2. Confirm with session replays (what happens right before exit?).
  3. Decide the most direct fix (clarify, reposition, reduce choices, add proof).
  4. Test the smallest viable change first.

AB Split Test workflow: Use heatmaps + session replays to triangulate: where attention goes, where frustration happens, and what users do next. Ask the AI CRO chat to propose experiments specifically for the signal you found (“rage clicks on pricing toggle” → “add explanation + default recommended plan”).