The Hotjar Guide for E-commerce Teams (2026)

Session recordings watched randomly, with no filter or research question

Heatmaps checked once after a redesign, then forgotten

Surveys that ask "was this helpful?" instead of "what stopped you?"

GA4 and Hotjar open with no connection between them.

They have behavioral data, but no system for turning it into hypotheses.

That's the gap.

And it's where most A/B testing programs quietly fail.

That's why I put together our Pre-Test Research Stack.

The qualitative research process you need.

It covers:

The 4 Hotjar layers and what each one tells you

How to turn scroll maps, recordings and surveys into ranked hypotheses

The prioritization formula we use to decide what to test first

The most common Hotjar mistakes (including one that cost a client €26K)

Every section includes the behavioral pattern to look for and the psychology behind it.

We built one of the largest A/B test databases in e-commerce: 4.3 million tests from 151,000 shops, since 2011.

On top of it we built our own testing tool, Apex.

Apex tells you which test wins before you build it, and runs your whole testing program in one place.

𝗪𝗮𝗻𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗴𝘂𝗶𝗱𝗲?

Let me know and I'll send it over.