All Latest 609 A/B Tests

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.

Should prices be displayed during an editing state on an add-to-cart screen (after adding-to-cart from a product detail page)? In this experiment, club pricing was added and shown in three areas after customers clicked on a small "edit details" links. The control did not have this pricing information (which was only shown on a product detail screen before).

Here is a very simple experiment where CDN currency copy was appended to prices being shown on a Canadian ecommerce site. Additional copy ("from Canada") was appended to an existing shipping message.  

Here is an experiment with an added "price per pair" in the context of products with multiple items (packs).A high contrast badge-like copy was appended underneath the price which translates to "only $X per item". Impact on sales 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, a two plan pricing plan (standalone product with a higher collection set) was tested against a single plan one (only a collection set). Impact on clicks and total sales was measured.

This experiment replaced a visible coupon field with a dynamic text link that would initially hide the form field. Only after clicking the text link would the coupon form field appear. The translation from German is "Do you have a coupon code? Click here to apply". Impact on completed transactions was measured.

In this experiment, the annual plan was standardized and framed in a monthly price context (during the iOS signup flow). This made the annual plan more comparable to the monthly plan price. Impact on overall sales and annual plan sales was measured.

In this experiment, the annual plan was standardized and framed in a monthly price context. This was more comparable with the monthly plan price above. Please also note that the annual billing price was also kept and clearly stated. Impact on overall sales and annual plan sales was measured.

In this experiment, a pricing plan selector was shifted from the very bottom of a long product page towards (almost) the top. Impact on any transactions or sales was measured.

In this experiment, a single focus signup was transformed into a pricing comparison table. Impact on signups was measured.

In this experiment, the variation added a second total price at the bottom of the checkout screen just above the checkout button. The impact on sales was measured.

This experiment tested the order of purchase plans. The control version sorted the purchase options by the least expensive while the variation sorted them by the most expensive first. Impact on sales and revenue was measured.

In this experiment, a 3 plan vs 2 plan pricing page was shown to potential customers. Impact on sales and revenue were measured.

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, 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 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, the order of pricing plans was rearranged as to show the most expensive one first.

In this experiment, all three prices of each plan were shifted higher for greater visibility.