All Latest 615 A/B Tests

In this experiment, free shipping was a/b tested against free shipping with a 30€ purchase or higher. Hence, in the variation, customers needed to reach a cart amount total in order to be eligible for the free shipping. 

Instead of only displaying sort and filters at the top of a listing page, the variation always had them visible with a sticky/floating interaction. Impact on sales was measured.

In this experiment, social proof copy was added just below product photos. The copy emphasied that "3 million satisfied customers" and "10 million deliveries since 2003". Impact on sales was measured.

In this experiment, the earliest availability dates were displayed underneath product tiles on listing pages. This was a/b tested on a car rental service website. Impact on product adds-to-cart as well as transactions 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, infinite scrolling was a/b tested against a paginated one.

In this experiment, conversational filters were tested at the top of some listing pages. Instead of showing one set of product filters, customers were shown three sets of product questions. After selecting each answer, product results would narrow and update further down on the page. Impact on adds to cart and sales were measured.

In this experiment, copy related to payment duration types (paid in full or ongoing) was changed. In the the control, one of the option used the "Pay in Full" copy, whereas the variation changed this to "One-time payment". Impact on sales was measured.

In this experiment, a higher contrast search bar with a blue border and a filled blue button style was tested against a more feint style.  Impact on searches and purchases was measured. (A/B test was inverted to B/A in order to fit the filled-vs-ghost button pattern).

In this experiment, a club subscription duration was preselected to 6 in the variation. The control had no club durations preselected. As a result of preselecting a club duration, a more visible price also appeared at the top (sooner in the variation). Impact on sales was measured.

This experiment started when users would click add-to-cart on product detail pages. In both the control and variation, a modal would appear. In the control the modal contained a "View Cart and Checkout" button that lead users to the cart page. In the variation the modal showed separate "View Cart" and "Checkout" buttons. The a/b test variation also introduced a green confirmation message about the product being added to cart. Impact on transactions and revenue 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, people who saw an offer (in an email or popup) would see a more visible site wide reinforcement of their earned discount being active. In the control, the discount was only shown during checkout. In the variation, it was shown throughout the web site on the homepage and product detail pages.

In this experiment of a floor cleaning product, a reassurance about product uses was appended to two cleaning agent upsells. In the control users saw the 2 standard upsells for laminate and tiles. And in the variation the copy "Right for me. 100x Cleanings" (uses) was appended. 

In this experiment, free shipping was a/b tested against free shipping with a 40€ purchase or higher. Hence, in the variation, customers needed to reach a cart amount total in order to be eligible for the free shipping. 

In this experiment, the variation transformed an add-to-cart button into a shopping cart one (making it a two step process). The control had an interaction where an add-to-cart button would become a quantity selection and then a shopping cart action (a three step process). In a way, the control kept users in a "dead-end" quantity selection middle state that required clicking the back button to continue the sale. Whereas the variation automatically moved users into the next step (closer towards being able to make a purchase). Impact on sales was measured. 

In this experiment, product availabiltiy bars were shown on products with low stock. This was shown on listing pages. Impact on adds to cart and sales was measured.

In this experiments, reinforcing section tiles were replaced with additional customer testimonials. Impact on adds to cart and sales was measured.

In this experiment, a two column grid layout (control) was tested against single column layout (variation) with the product information shown to the right. Please note that the screenshot shows repeated products only because it's been sourced from a Figma design file. In reality, the products in the variation were equally diverse as in the control. 

(We've also flipped the A and B to match up with our grid pattern.)

In this experiment, instead of showing 12 products per screen (with pagination), the variation showed all 42 products on a single screen. Impact on adds to cart and completed orders was measured.