All Latest 644 A/B Tests

In this experiment, a preset coupon code with -15% amount and an easy to "apply" button was shown to new users who have never made a purchase. In the variation, the an empty coupon field was shown. Impact and transactions and revenue was measured.

In this experiment, a less visible (ghost button style) legal confirmation box, was tested against a more visible one (filled state with higher contrast). Impact on error rates (from submitting an incomplete form) and sales was measured.

In this experiment, the order of the checkout flow was rearranged. In the control the first step of the checkout flow started with the shipping information step, followed by greeting card selection. In the variation this was rearranged (hypothesis was that the greeting card step was easier). Impact on sales was measured.

In this experiment, the font of the euro cents amount was made smaller. Additional copy was also added underneath the price reinforcing that tax was already included in the price. Impact on transactions was measured.

In this experiment, copy around an upsell was changed from using "optional" to "our recommendation for you". The idea was to recommend two upsells with more confidence. Impact on the two upsells (secure, and express) as well as overall transactions was measured.

This was an experiment on the first checkout step where users would enter shipping information. The control had a longer footer with more additional sitewide links and a call to action to a newsletter. The variation removed these elements and kept the focus on the shipping information task. Impact on progression to next step and sales was measured.

In this experiment, a "most popular" badge ("am beliebsten") was appended to the middle plan of a contract cancellation service. Impact on overall purchases and revenue was measured.

In this experiment, a thanking confirmation message was appended at the top of the checkout screen of a local food delivery service. Impact on completed transactions was measured.

In this experiment, selling points and benefits of a subscription were placed as bullets at the top of a checkout page. The benefits highlighted things such as: unlimited applications, access to vetted jobs and the ability to cancel anytime. Impact on sales was measured.

In this experiment, the choice of adding a product to cart was confirmed with a further positive message in the header of the next step (on the add to cart page). Once users left the product detail page, instead of simply stating the product name, the title was rephrased as "Product [X] Makes a Great Gift. They'll Love It!". I view this as a higher "intensity" experiment, given that the add-to-cart page was in some way already confirming the choice. Impact on sales was measured.

In this experiment, a list of benefits were shown for each of the 3 plans on the last step of a contract cancelation service. Benefit items not included in the lower plans were also shown with grayed out styles (and an "x"). Clearly the higher paid plan had all the benefits listed. Impact on transactions was measured. 

In this experiment, a list of benefits were shown for each of the 3 plans on the last step of a contract cancelation service. The lowest plan only had one benefit, whereas the highest plan had 3. Impact on transactions was measured. 

This experiment explored a pricing layout that enabled more feature comparisons. It also conveyed more clearly which features were missing between plans. The test has been inspired by this Netflix experiment. Impact on sales was measured.

In this experiment, a cancelation guarantee was added believing it would make users feel safer while canceling their contracts with Volders (the paid service being offered). The variation appended a Guarantee in the headline as a hyperlink with an explanatory tooltip shown on hover. This variation change was added to multiple screens throughout the checkout flow (a 5 step process).

In this experiment, a count down timer was added near the top of a checkout page. The timer was only shown before 1pm and clarified that the serivce (contract cancellation) will be initiated on the same day if users act before a cut off time. Impact on completed payments was measured.

In this experiment, a question about a customer's reason for purchase was broken out into a separate step and moved earlier in the process. In the control, this question was asked in the final checkout step along with a plan selection (Step 4 of 4). In the variation, this question was shifted as a standalone first step (Step 1 of 5). Impact on completed purchases was measured (for a contract cancellation service in this case).

In this experiment, the course enrollment start date was moved from step 2 to step 1 of an enrollment / checkout flow. The test was run by Designlab - that offers design courses and education with a strong element of mentorship. Impact on progression to next step and completed transactions were measured.

Do fewer confirmation form fields matter? In this experiment, redundant password and email confirmation fields were removed during a signup / checkout funnel. Impact on signups was measured.

Does adding Google's address auto complete functionality to an address field help with higher form completions? This auto fill feature has been tested in the variation of a contract cancellation funnel. After selecting an auto completed address from a pulldown menu, the following fields were preselected: house number, zip code, city and country (potentially lowering friction?). Impact on successful form completions (contract cancellations) has been measured. Notice how the form also expanded progressively upon selecting the complete address in the variation.  

The Volders experimentation team assumed that adding information about how long it might take to get a cancellation confirmation near a CTA Button would result in higher cancellation requests (the paid service being offered).

The variation contained additional copy translated from German to: "Most of our users receive their cancellation confirmation from <vendor> within 14 days by email or letter."