All Latest 610 A/B Tests

In this experiment, a lead form on a listing page showed whether an agent was recently online or not. The diplayed had two statuses: either indicating that someone is online now, or the most recent time they were online in minutes.

In this experiment, a dynamic number of job postings was displayed during the signup process - reinforcing the value of signing up for membership access.

In this experiment, a dynamic page title was generated and added at the top of the screen. The first few words from a property description were used to dynamically generate these titles. The effect on leads was measured.

In this experiment, three testimonials were added mid way though on a CMS landing page. At the end of the customer testimonials an additional trial signup button was also added - which was also the primary metric. 

In this experiment, the only change was an added message at the top of the pricing screen, clarifying that there is an active discount on a yearly plan. The discount was already communicated with a strike-through price on the control version as well. The variation simply emphasized this aggressively. 

In this experiment variation, the saved suppliers feature was surfaced in the global navigation.It was already possible to save supplier companies from listing and specific company pages. This experiment aimed to increase the saving functions visibility and possibly increase more leads. 

In this experiment, the B variation property prices were framed using higher and crossed out price points from 12 months ago - achieving a relative discount. A tooltip was also shown which explained the higher price point on hover. The example in the screenshot translates to "2% less compared to 12 months ago". This high-power experiment measured the number of leads that were generated on property (product) screens.

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 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 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, 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, 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, 3 additional course links with descriptions were added to the homepage. The idea was to increase course sales aside of the Saas subscription signups.