# Review Summary Placement A/B Test on Product Pages

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/review-summary-placement-ab-test-on-product-pages

## Hypothesis

With the rating and review count right below the price, shoppers see the social proof at the same moment as the price; below the description, they reach it only after reading about the product. The higher placement may deliver the higher purchase conversion rate (CR), but on mobile it could push the main CTA down and lose that edge.

## When to run this test

Heatmaps showing few visitors reach the end of the description, or session recordings of visitors hunting for the rating, suggest shoppers miss the review summary on the product page. If the below-price spot has the edge, shoppers who see the summary there size up the product faster, and add-to-cart and purchases rise in that arm. If the summary loads late or fails to appear, fix that display problem first. Also check that the rating is not rounded up and negative reviews are not hidden, or you will be testing inflated social proof.

## Primary metric

**Purchase conversion rate (CR)**: Compare purchases per assigned visitor when the review summary is moved higher on the page.

## Other metrics

- **Add-to-cart rate**: Check whether social proof changes the first purchase step.
- **Review section click-through rate**: Track visits to full reviews; a click does not prove the summary was noticed.
- **Return rate**: Track returns, but an unchanged rate does not prove expectations were accurate.
- **Page load time**: Make sure the added component does not harm LCP.

## What to check before and during the test

- **Placement**: Move the same summary between just below the price and just below the description.
- **Format**: Keep rating, count, wording and design unchanged.
- **Review volume**: Keep product eligibility fixed and review predefined groups by review count.
- **Navigation**: Keep the behavior for jumping to reviews unchanged.
- **Category**: Review results within product categories.

## What to watch when reading the result

- Choose the placement on purchase conversion rate; a rise in review clicks or add-to-cart alone is not enough to pick a placement. Review clicks measure trips to the full reviews, not whether the summary was noticed, and an unchanged return rate does not on its own prove that expectations were accurate.
- Split the read by device. If the summary box pushes the main CTA offscreen on mobile, the below-price arm's result reflects a hidden button rather than placement; also check that the summary does not hurt page load time or LCP. Review the effect within product categories and the predefined review-count groups.
- If the gap stays small, the two placements may simply perform about the same, so do not hunt for a winner in a category picked after the fact. Check the purchase gap against chance with the [A/B test significance calculator](https://alidemirbas.com.tr/en/calculators/ab-test); a non-significant result does not mean zero effect, so weigh mobile CTA visibility and page speed too.

## Frequently Asked Questions

### Do more review-section clicks establish that the summary was noticed?

Clicks measure navigation, not awareness directly. Use purchase conversion as the primary outcome and retain identical access to full reviews.

### What is the mobile risk of moving the summary below the price?

It can displace the CTA or cause layout movement if loaded late. Measure CLS for instability and LCP for main-content loading. Preserve the actual rating and review count.

### How should low-review products be handled?

Use fixed eligibility and predefined review-count groups. Do not infer accurate expectations from an unchanged return rate alone.