The Latest A/B Tests

In this experiment, a password field was removed on a contract cancellation form (Volders).

In the control version, users were required to enter their email address and a password. If the email address was associated with an existing account, then the password was used to authenticate the user (and validated). When users entered a new email address, then the password field was used to create a new account. 

In the variation, the password field was removed, as the authentication happened after the conversion itself using other backend mechanisms.

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. 

In this experiment, a sticky "Enroll" button was shown on a course landing page. The button lead to a payment funnel to allow enrolling/paying for a course. The exeperiment measured inital progression into this funnel as well as the deeper completed sales metric.

In this simple experiment, a text link to a join page was injected on an article page. The hypothesis was that more users would signup as a result of this subtle trigger.

In this experiment, blog article pages were hidden behind a registration wall - requing a signup to access. The registration wall would appear after the first paragraph using gradual opacity to cover the rest of the article. We have published the effects of this change on registrations (signups) and on engagement (users viewing other more important company detail pages).

In this experiment, plan properties on a pricing page were horizontally aligned (for easier comparison). More so, labels and values were also broken on separate lines.

In this experiment on a casting call site, pricing information was shown beside the application button. This change shows the effect of setting a price expectation and being more clear that the application process is not free.

The core hypothesis of this experiment was that by showing clear availabiltiy (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 (merasured a few steps further in the funnel).

This experiment was ran on the initial onboarding screens of the Elevate App - right after installing and launching the app for the first time. The change was the removal of subtle "skip" links that fast tracked users to the signup/login screen (Get Started). Hence in the variation, all users had to scroll through the 4 introductory messages before being asked to create an account.

In this experiment, the order of pricing plans was rearranged as to show the most expensive one first.

In this experiment, a simple pulldown menu (for US state selection) was replaced with all state options shown as selectable buttons. The states were also abbreviated.

In this experiment, customer logos (of universities attended by students using Kenhub) were placed on a homepage. The experiment tested for the effect on registration visits, and premium subscription starts.

In this experiment, a handful of customers and contributors from GoodUI were added on a pricing page to test the effect on sales.

In this experiment, a long contract cancellation landing page (control) was broken down into 4 steps with 1 final summary step (variation).

In this experiment, realtime social proof information has been added below an add-to-cart button. The variation shows how many users that have viewed, or placed a product into their basket. Translated to "4 visitors have this product in their shopping cart."

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, registered trial users were shown a 65 minute counter on multiple pages (dashboard, listing, quiz, articles) encouraging them to get a full subscription and study all content. Both A and B experiences offered the same limited content for trial users. After the 65 minutes came to an end, the B variation showed an additional "Go Premium" button on all pages, but continued to offer the same limited content.

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.