All Latest 615 A/B Tests

This experiment tested the presence of customer review (in the variation). As a result of adding customer reviews, the product page density decreased (requiring a bit more scrolling from longer product tiles). Impact on conversion was measured. 

Also the test originally ran as a "removal of customer reviews" test. However it was flipped here to align with the pattern.

In this experiment, the plus and minus quantity icons near the add to cart button were tested with different contrasts. The control had a higher contrast from a solid background color, and the variant was lower contrast. Impact on add to cart and sales was measured. (A/B test was inverted to B/A in order to fit the pattern).

In this experiment, left column filters (control) were tested against top-aligned and sticky filters (variation). The hypothesis was to increase their visibility. Impact on their use and progression to next step (product/tour detail page) were measured.

In this experiment, some side column filters were made more visible by being automatically expanded. These included: brand, price and country of manufacturing.

In this listing page experiment, color sets of the same product were tested against individual products with unique colors (with additional product tiles). Essentially, the A version here contained fewer product items (with color sets), while the B version contained more results and tiles (with grouped products). Impact on total sales was measured.

(The original control and variation was inverted, but was flipped to match the fewer or more results pattern).

In this experiment, an additional call to action (Whatsapp link) was added on a listing page of one of Brazil's largest real estate sites.In the variation the 3 calls to action include: a link that launched the phone interaction, a general contact lead form, and finally the Whatsapp link (added in the variant).  Impact on total lead starts and completions was measured.

In this experiment, an additional and alternative text based call to action link was added on real estate properity listings. Instead of only having "Ligar" ("Call"), "Enviar mensagem" was also appended ("Send Message"). This additional link lead to a lead-gen form. 

This experiment added a small nudge or callout to encourage more signups. Attention was directed towards the save function, which lead to the signup flow for anyone not signed it. Impact on signups was measured.

Similar to experiment 373, listing descriptions were shortened dynamically using exposable "more" links AND dates/location data was removed. This way, the variation showed shorter listings and therefore more listings per screens. Impact on listing clicks (progression) along with membership starts was measured.

In this experiment, listing descriptions were shortened dynamically using exposable "more" links. This way, the variation showed shorter listings and therefore more listings per screens. Impact on listing clicks (progression) along with membership starts was measured.

In this experiment, products which were out of stock were removed from listing pages and replaced with in stock ones (not visible in the screenshot). 

In this experiment on a listing page, the search was expanded to show more listings (variation B). Conditionally, if there were fewer than 36 results, set basic filters such as number bedrooms and bathrooms were expanded and appended to the results. Hence if someone chose 2 bedrooms and 2 bathrooms in variation A, they would only see listing with that filter. In variation B however they would first see the filtered results, and later they would also see results with 3 or more of each. 

In this experiment, multiple view detail links for a listing tile were turned into higher contrast buttons. 

The change in this experiment was an exposed SEO panel (B) with a number of clickable filter options. 

In this experiment, a different style for keyword highlighting was used.

In this test we tested onhover buttons (variant) versus more traditional always exposed and visible ones.

This experiment measured the effect of opening new listing (job applications) in a new tab, against opening them in the same window. The experiment A-B was inversed to match the pattern (in reality, the original already opened the tabs in a new window).

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 idea of this experiment was taking advantage of mobile browser behavior. When a link is open in a new tab on mobile browsers, and users hit the back button, the tab closes and users get back exactly where they were before without any new result page load.

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.