Social proof on the product page. What brands are testing.

What it is

A shopper looking at one product cannot see the other people looking at it. Social proof makes them visible: a count of recent buyers or viewers, or a label that says the item is popular. It sits close to where the decision is made — by the price, on the photo, or next to the button.

Every experiment in this group sits on the product page. Where social proof turns into urgency — “going fast” rather than “popular” — it belongs to the low-stock and urgency pattern instead.

What brands tried

The experiments in the record fall into a few themes, all seen between June and October 2026. No brand is named in this section.

Counts. Most added a count line or badge: recent purchases (“N people purchased this week”) or recent views over the past day.

Labels. Several used a label instead of a count, or on top of one: “Trending”, “Popular”, “Bestseller”, “Fan Favourite”, “Top Subscription Product”.

Placement. Several tested where it sits: under the price, above the size picker, over the product photo, or by the add-to-bag button.

Buyers against viewers. A couple tested purchase counts head-to-head against view counts.

Examples from the record

Public examples from the record, with the page before and the version tested. The chip shows what the brand did next: Shipped means the tested version became the page; Rolled back means the original stayed.

Before

Tested

CotopaxiProduct page

Product page purchase-count popup

What changed Shows how many people bought the item in the last week.

Seen 4 Jul to 24 Jul 2026

Rolled back

What this page does not tell you

• Whether it works. There are no outcome rates here. Outcomes — whether each brand kept the change — are tracked per experiment and are part of the Intelligence plan.
• Whether it will work for you. Your shoppers, prices and range differ from the brands in the record. A change one brand kept can fail on another site.
• Why a brand decided. One experiment is one brand's decision. The record shows what the brand did next, not the measured lift behind it.

ABSee is experimentation intelligence for ecommerce: a record of real experiments run by 1,150+ brands, with the page before, the version tested, and whether it was kept. How the record is built.

How to use this

Treat this page as evidence for a hypothesis, not an answer.

• Bring it to your own hypothesis. Name the problem on your own product page that this change would address, and for which shoppers.
• Check the record for your category. Look for brands like yours, the version they tested, and what they did next.
• Test it yourself. Your own experiment is the only result that applies to your site.