Heatmaps visualise where visitors click and how far they scroll. Like any aggregate visualisation, they're only useful once you have enough samples to separate signal from noise. Below a healthy sample size, a single visitor's behaviour can dominate the picture.
How much data is "enough"?
There's no hard threshold built into the product, the heatmap shows whatever it has collected. So treat sample size as a judgement call:
- A few dozen clicks is enough to spot an obvious problem (everyone clicking a non-clickable heading), but not enough to trust subtle differences.
- A few hundred clicks on a page usually gives a stable, trustworthy picture of where attention lands.
- More is better. The more sessions feed a heatmap, the more the noise averages out and the clearer the hotspots become.
These are rules of thumb, not absolutes. A page with 200 clicks split across two clear hotspots gives you signal. A page with 200 clicks scattered across a hundred elements does not.
Click vs scroll
Zenovay heatmaps come in two views you can toggle between:
- Click shows where visitors tap and click as points on the page.
- Scroll shows how far down the page people get, as depth bands.
Scroll tends to stabilise faster than click, because every pageview contributes a scroll depth, whereas clicks only register when someone actually clicks something. If your click heatmap looks thin, the scroll view may already be telling you a clear story.
What if my page doesn't have enough data?
If a page has collected no data for the selected view in the selected date range, the heatmap shows an empty state ("No data collected for this type yet") over the page screenshot. If it's sparse rather than empty, you'll see a few scattered points, treat those as anecdotes, not patterns.
Options to gather more:
- Expand the date range. Use the period strip above the heatmap to widen the window: Pro can look back up to 60 days, Scale up to 120 days. (Heatmap history is shorter than your analytics retention, and periods beyond your plan's window appear locked with an upgrade prompt.)
- Pick a higher-traffic page. A landing page or a popular blog post will reach a usable sample far faster than a rarely-visited page.
- Drive traffic to the page. Push it through a campaign or experiment to accumulate samples faster.
Reading a heatmap with low data
When a heatmap is still thin, treat it as directional, not statistically significant:
- A clear cluster on a non-clickable element (e.g. a heading that looks like a button) is real and worth fixing, even with a modest sample.
- A single hot spot on an obscure element with a handful of clicks is probably one engaged visitor, not a pattern.