All Latest 539 A/B Tests

In this experiment, conversational filters were tested at the top of some listing pages. Instead of showing one set of product filters, customers were shown three sets of product questions. After selecting each answer, product results would narrow and update further down on the page. Impact on adds to cart and sales were measured.

In this experiment, recently purchased products were appended at the top of the homepage. The test ran for loggedin users only. Impact on add-to-cart, sales and revenue was measured.

In this experiment, the variation remembered and prefilled user's size choices for the duration of the session. The control version always started with a fixed product size value (ex: XS). The variation prefilled them between products or screen refreshes. Impact on sales was measured.

In this experiment, up to 5 recently viewed product pages would appear on the left hand navigation. The idea was to make it easier for users get back to what they were looking at in case they were browsing. These recently viewed products were not visibile in the control. Impact on adds-to-cart and completed transactions was measured.

In this experiment, two app download buttons were tested against a single OS personalized one. In the control, both branded App Store and Google Play buttons were shown statically. Whereas in the variation a single download (stylized consistently with site wide button styles) button was shown depending on the user's operating system. Impact on application download was measured.

In this experiment, when customers viewed a product and returned to the homepage, they would then see the most recently viewed one - a delicate nudge. The experiment ran with full traffic and impact on sales was measured.

The idea of this test was to add a "Viewed" label on a listing page to indicate listings which have already been viewed by users.

The experiment goal was automatically applying filters the users have already done in our result page, during their navigation to the site. The variation always applied the filters in the same session and asked users on new sessions.

In this experiment, a lead form (with a syllabus) would transform into the next application step of "enrolling" after being submitted. More so, this surfacing of the next enrollment step was personalized and shown for users that also returned to the web site in future visits.