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Product page attention: what changed when we recoloured the buy button

On a fictional product page, turning the add-to-bag button into the product colour barely moved the predicted map. The title and description kept the strongest region, and the product photo stayed cool both times. Three one-change experiments, compared.

By the Heatpoints team. Published . 4 minute read.

Compare two product pages
Predicted attention on a fictional product page
Fictional design, real model output. Colours are relative to this image only. Provenance

The two versions

Version A is a fictional kettle product page: thumbnails on the left, a large product photo, then the title, a short description, the price, colour swatches and a dark add-to-bag button. Version B changes one thing: the button takes the product's rust colour. Everything else is identical. Both were captured at 1280 by 720 and run through UNISAL with the same settings.

Version A of the fictional product page with its attention mapVersion B, with the add-to-bag button in the product colour
Version A, dark button, and version B, rust button. The strongest region is the title and description in both.

References: Provenance, hashes and metrics

What the model reported

Version A scores 25 and version B 24. The dominant cell is top-centre in both, over the title and description. Attention intensity is 5 in both, focus 52 and 53, coverage 4 percent in both. The hierarchy metric moved from 6 to 3, which means the second-strongest region got slightly closer to the first, not that the button became a hotspot. In the grid, the cell holding the button moved from 2 to 3 out of 100.

In the overlay, the recoloured button shows no warm region at all. The map is nearly the same image.

Version A and version B of the fictional product page.
MetricVersion A, dark buttonVersion B, rust button
Composite score2524
Attention55
Focus5253
Hierarchy63
Coverage4%4%
Strongest cellTop centreTop centre
Metrics of version A and version B of the fictional product page
The five metrics side by side. Only hierarchy moves, from 6 to 3.

Three one-change experiments side by side

This site has run the same kind of experiment on three fictional designs: a product page, a square ad and a video thumbnail. Each B version changes exactly one thing. The table puts them together, because the pattern across the three is the useful part.

Recolouring a button did almost nothing. Shrinking a headline and moving the product name and action up next to the product on the ad changed the ranking, with the action now inside a warm region. Shrinking the headline on the thumbnail raised the score from 32 to 42 because the remaining headline dominated more clearly, while the room, the thing the thumbnail was about, stayed cool. Size and position moved the maps. Colour did not.

Composite score and hierarchy metric before and after one change, on three fictional designs.
DesignThe one changeScore AScore BHierarchy AHierarchy BWhat moved
Product pageBuy button in the product colour252463Almost nothing
Square adSmaller headline; product name and action moved up56498778Action entered a warm region; score fell
Video thumbnailSmaller headline, nothing else32422366Headline dominated more; the subject stayed cool

References: Provenance of the ad and thumbnail experiments · The thumbnail experiment on the home page

What that means for the page

The model reads contrast, edges and text as salient. A large block of flat colour in a calm layout does not create a strong region on its own, whatever its hue. On this page, the text block carries the emphasis and the photo, a large flat shape, stays cool in both versions.

If the goal was to make the product photo more present, recolouring the button was the wrong variable. A photo with more detail, a tighter crop, or a smaller title would be the next things to try, because those are the variables that moved the maps in the other two experiments.

Close-up on the buy button in both versions, with the attention map
The button region in both versions. No warm region appears on it.

How to run this on your own product page

Keep one variable per comparison. Recolour, resize or move one element, then compare the maps in Championship, which shows the metrics side by side. Read where the emphasis sits before reading the score, and check that the product, the price and the action are in or near a strong region.

  1. Capture the first screen at a realistic width.
  2. State which element should lead: product, price or action.
  3. Change one element and export the new capture.
  4. Compare both maps and metrics with the same model.
  5. If the map did not move, you have learned something too: try the next variable.

References: Compare variants

What stays outside the prediction

Whether shoppers trust the delivery promise, understand the options or want the product cannot be read from a saliency map. A button's colour may still matter to them for reasons the model cannot see, such as consistency with the rest of the store. Once the page is live, an experiment on the real store answers what a prediction only frames.