All Latest 633 A/B Tests

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, standard $ signs and cents were formatted into a smaller superscript. Impact on add-to-cart and sales was measured.

In this product detail page experiment, reassurances under the add-to-cart button were rearranged. The control contained copy about: free shipping and free returns formatted as two gray boxes, with a variety of payment methods and their corresponding logos underneath.

The variation used a more convention bulleted, line-by-line format. It also contained free shipping and returns, but also elaborated with "100 day returns", an "anti-hole guarantee", and "purchase with invoice" (perhaps more popular in Germany?). Impact on sales was measured.

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, a more difficult step of a contract cancelation service flow was rearranged toward a later step. In the variation, the easier step (hypothetically) with personal details and address fields was placed as the first step. Whereas the step with contract or account numbers (hypothetically more difficult) were placed as the second step.

In this experiment, the call to action or button was raised above the legal text to be visible right away without scrolling. Additionally a error message was added for users that did not activate the checkbox to remind them that this is mandatory. Impact on signups and eventual follow-through to purchases (3 steps later) was measured.

This was a larger leap experiment with numerous changes to the header part of a design program landing page. One of the key changes however was a shift from a single to multiple call to actions for lead generation. In the control, all potential leads would first funnel through a single syllabus download flow. In the variation, users were given three visible choices: download syllabus, webinar signup and/or book a live call with admissions. Impact on overall generated leads was measured, as well as paid enrollments.

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).

Upon clicking the Add-To-Cart button, the button label changed to a cheering message which congratulated the user on his choice and ensuring that shipping is free. Translation: "Good choice. Your shipping and returns are free."

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.

In this experiment, a single step popup modal was tested against a 4 step sign up funnel. Users entered the experiment on the homepage and the behavior of the two buttons, book a demo and get a quote, was adjusted. Impact on leads was measured.

In this experiment, the complete buy box on a product detail page, floated along as users scrolled through the long screen. The variation made sure the product choice and order now button was always visible. Impact on adds-to-cart and sales was measured.

Fluke is an industrial manufacterer of measurement and calibration devices and they ran a test on their Amazon store for a series of their prodcts. Instead of using short product names, they tested longer and more descriptive ones. Impact was measured on sales.

In this experiment, pricing plans were laid out horizontally for easier comparison. In the variation, most of the plan benefits, features and differences were also referenced using a single lable that was left-aligned. The idea was to make the variables aligned and therefore more comparable.

This pricing table appeared at the bottom of a long design program landing page. Impact on leads and applications was measured.

CXL ran an interesting experiment that (1) added more specificity on a newsletter subscription page as well as (2) reinforced it consistently. Most visibly, an abstract or vague headline statement (control) was changed to a benefit oriented one - hinting that subscribers will eventually receive valuable case studies. This message was further reinforced with supporting copy that explained where these case studies are obtained from along with the frequency of the delivery. This same message was also reinforced with an image of actual case studies. The call to action button was also adjusted to mimic the benefit.

Impact on newsletter 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.  

Bottom aligned thumbnails were shifted to the left side on a product image. Doing so, also shifted the product descriptions a little higher. Impact on adds-to-cart and total transactions was measured.

In this experiment, the copy of an input textarea on a lead form was used to summarize a user's choices. Instead of showing using a generic "Message" statement, the variation use the following formula: "I'm a [Lead Type] located in [State] looking for [Expert Type]. Looking forward to hearing from you today. Thank You." Impact of leads was measured.

In this experiment, the pricing of three software plans was consistently framed into a more comparable monthly context. Whereas the control version only showed the total prices for each plan, the variation showed both the total and monthly prices. Impact on sales was measured. 

In this experiment, the annual plan was preselected instead of starting off unselected in the control. Impact on two metrics was measured: any plan and annual plan purchases.