The experiment, in brief

Let shoppers explore proof without losing the product

The challenge

The product page did not show how many reviews supported its rating. Visitors could see social proof, but lacked an immediate sense of its volume. The existing testimonial route also took shoppers away from the product page to read more. That separated reassurance from the decision it was meant to support. A shopper looking for another customer's experience had to interrupt the purchase journey and then find their way back.

Working hypothesis

A visible review count could give the rating more context. Opening the reviews in place could make that evidence easier to explore while preserving the product, price and purchase decision.

What changed

Wavesy placed review counts beside the star ratings and linked them to an in-page popup. Shoppers could investigate the reviews without being redirected to a separate testimonial page. The team also removed distracting off-page testimonial calls to action. Together, those changes made the review entry point clearer and kept the supporting content closer to the product under consideration.

The customer decision

How much customer experience is behind this rating?

Show the review volume and let the shopper explore the evidence without leaving the product context.

The reported outcome

The original article reports a 38% click-through-rate increase after adding review counts. It also describes longer engagement with reviews and reduced bounce, without providing raw measurements for those observations. The source's estimated conversion lift is not treated as a verified outcome.

How to interpret the result

Click-through rate describes a click behavior, not necessarily a purchase. The exact click event and eligible audience must be confirmed before the result can be translated into a commercial impact. The public report does not provide enough information to calculate additional orders or revenue.

What another team can learn

Social proof should be accessible and connected to the decision it supports. In a future experiment, define the click event before launch and track the downstream purchase journey separately. An increase in review interaction is useful evidence, but it should not automatically be described as an increase in sales.