All Latest 556 A/B Tests

In this experiment, an extra step was prepended at the beginning of a multiple step signup modal flow. The signup modal would appear on listing pages after requests to contact a listed company. The idea was to prime users with benefits of signing up in order to increase their motivation to do so. The experiment measured the impact on the initial progression (to the step with the email form).

In this experiment, at the bottom of a search results screen, a membership join button was added along with 3 encouraging reasons. The experiment measured membership funnel starts, as well as paid membership transactions (sales).

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. 

The core hypothesis of this experiment was that by showing clear availability (in green text) beside each casting call, more users would apply and become premium members. The experiment reports on two metrics: application starts (the first progression metric), and premium membership sales (measured a few steps further in the funnel).

In this experiment, structured data tags were displayed on a listing page to help potential buyers make better decisions. The additional information about the listed companies included: annual revenue, employee count, and year of establishment.

In this experiment, a contact button was added to a listing / search results page to make it faster to contact a company. This same button was also visible on the company detail page.

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

In this experiment, a list view was tested against a grid view.

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

In this experiment, the B version condensed the company listings. This was done by showing less of the description and introducing a "more" and "less" dynamic links that would expand and collapse the description.

In this experiment, two different positions of the View Catalog button were compared. In version A the button was smaller and on the right. In version B the button was wider and more central. (The actual test was inverted before publishing to match the A-B of the pattern.)

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.

In this variation, a number of social proof references were added to a signup modal.

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.

In this variation, the button labels were changed from "Profile" to "View Supplier".

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.