Email Heat Map: What It Is & How It Works
An email heat map is a visual tool that shows exactly how recipients interact with your email — where they click, how far they scroll, and which parts of the layout they ignore entirely. Instead of staring at a spreadsheet of click data, you see it rendered as a colour-coded overlay on top of the actual email.
It uses colour-coding to show areas of high and low engagement — warmer colours like red and orange indicate areas with high engagement, while cooler colours like blue and green indicate lower engagement. The result is an instant, readable picture of what’s working and what’s being skipped. No digging through raw numbers required.
The term gets used interchangeably with email click map, though technically a click map focuses specifically on link clicks, while a broader heat map can also capture scroll depth, attention patterns, and mouse movement, depending on the tool.
What an Email Heat Map Actually Shows
At its core, a heat map answers a question most email marketers have but rarely get a clean answer to: which parts of this email did people actually engage with?
The map shows which links are most popular and the percentage of email subscribers that clicked each link — with a colour overlay added to each hyperlinked section, where warmer colours mean higher clicks. Beyond clicks, some tools also track:
- Scroll depth — how far down recipients actually read before dropping off
- Attention patterns — which sections hold attention longest
- Device behaviour — whether mobile and desktop users interact differently with the same layout
Heat mapping shows that email visitors tend to scan information rather than read every paragraph, and that images draw significantly more attention than text, with people clicking through much more often. Those aren’t assumptions — they’re patterns that show up consistently in the data.
Types of Email Heat Maps
Not all heat maps measure the same thing. The most common types in email marketing:
- Click heat maps — the most widely used. Show which links, buttons, and images received clicks and at what rate
- Scroll heat maps — reveal where readers stop scrolling, helping identify if key content is sitting too far below the fold
- Attention heat maps — use eye-tracking or AI-based prediction to estimate where recipients are actually looking, not just clicking
These types vary based on the kind of interaction being tracked — clicks, scroll depth, mouse hover, and focus — giving email marketers a layered view of how recipients move through an email. Most email platforms offer click maps at a minimum. Scroll and attention maps tend to require more specialised tools.
Why Email Heat Maps Matter
Open rates tell you an email was opened. Click-through rate tells you someone clicked something. A heat map tells you what, where, and — with some interpretation — why.
Email heat mapping reveals patterns related to the layout or design of a campaign that make it easier to identify what’s working and what isn’t — and helps marketers understand which elements are performing well, which need improvement, and where further opportunities exist.
A CTA button getting zero clicks isn’t just a performance problem. It might be buried too far down the email, styled too similarly to surrounding content, or competing with three other links that are pulling attention away. A heat map makes that visible at a glance — something click-through rate data alone never could.
Key Takeaways
- An email heat map is a colour-coded visual showing where recipients click, scroll, and engage within an email — warmer colours signal higher activity, cooler colours signal lower activity.
- The most common type is a click heat map, which tracks which links and buttons get clicked and at what percentage.
- Heat maps go beyond open rates and CTR by revealing where engagement is happening inside the email — not just whether it happened.
- They consistently surface the same pattern: recipients scan rather than read, and images attract far more clicks than text.
- Used alongside A/B testing, heat maps become a practical tool for improving layout, CTA placement, and content hierarchy — based on real behaviour, not assumptions.
