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In this experiment, the order of two signup pages was tested: plan selection vs account creation. Here we have the account creation step first in the control and the the plan selection step first in the variation. (I flipped these around to match the pattern). Impact on signups was measured.

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 feint gray background search bar was replaced with a higher contrast one containing a blue border and a filled blue color button style.  Impact on searches and purchases was measured. (Inverted 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.

In this desktop experiment, 4 product tiles per page (control) were tested against 6. 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.
 

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.

In this experiment, a one large product photo (control) was tested against a two-column layout with two smaller images (variation). Impact on sales was measured.

In this experiment, the click area of job listing tiles was expanded to the size of the full job tile. In the control, the click area was smaller - mostly only the job headline, along with additional "view more" links on the right hand column. Clicking the tile or headline would open up a new job details page in both control and variation. Impact on progression and membership sales was measured.

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, users that did not complete a purchase and came back to the homepage were shown two different experiences. In the control, users would see the homepage (essentially having to restart the purchase flow). Whereas, in the variation, users would be shown a "Welcome Back" summary view with the completed steps shown as completed and a quick resume button to the next incomplete step. Impact on completed sales was measured.

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

In this experiment, new paywall copy and messaging was used to encourage more users to signup and pay for access to a mental health app. The variation reinforced that users would be receiving a full featured application, with reminders about the upcoming billing. It reinforced that users will have a full week to decide and potentially cancel their application. Impact on lagging +7 day later transactions 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.

In this experiment two sections of a form on a single page (control) were broken out into 2 separate steps (variation). The two sections included personal details and shipping information. This step appeared after having received a product recommendation when filling out a questionnaire for a skin care product. Impact on next step progression and purchases was measured.

This experiment was technically a larger multi-change one that ran on product detail pages. The control showed an automatically applied coupon (for people opening up targeted emails with the discount). The variation attempted to make this better with the following changes:

1. The discount message shifted closer towards the price / product selection (above the buy box)
2. Removal of sale discount amounts and messages tied to longer durations (6 and 12 month duration)
3. Reinforcing that the actual discount will be calculated further on checkout

In this experiment, a section dedicated to choosing gift messages was taken out and separated into its own individial step. The change happened on the first step of a checkout flow and increased the flow by an additional step. Impact on checkouts and total sales was measured.