# Pattern #93: Auto Next

### Pattern #93  Tested 2 timesTested by Andrey Andreev on Dec 15, 2023

Based on 2 Tests, Members See How Likely Version B Wins Or Loses And By How Much

LOSSES
-5
-4
-3
-2
-1
FLAT
+1
+2
+3
+4
+5
WINS

Measured by the sum of negative and positive tests.

A B

?

Progression

(1 tests)

-

-

Signups

-

Engagement

?

Sales

(2 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(2 tests)

# Pattern #93: Auto NextWas Tested On Online.metro-cc.ru by Andrey Andreev

Replaced

Isolated

Test # 508 on Online.metro-cc.... by Andrey Andreev    Dec 15, 2023 Test link

## Find Out How It Did With 514,834 Visitors

• Measured by clicks on adds to cart

• Measured by completed orders

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.

## The Same Pattern Was Also Tested Here

Replaced

Isolated

Test # 366 on Mvideo.ru by Andrey Andreev    Jul 14, 2021 Test link

## Find Out How It Did With 80,881 Visitors

• Measured by completed sales

In this experiment, the interaction on a product page was changed. In the control (A), after clicking "add to cart", the customer would remain on the product page with an updated basket and the button changing to "Go To Cart". The variation (B) however took customers forward automatically to the cart.

For each pattern, we measure three key data points derived from related tests:

REPEATABILITY - this is a measure of how often a given pattern has generated a positive or negative effect. The higher this number, the more likely the pattern will continue to repeat.

SHALLOW MEDIAN - this is a median effect measured with low intent actions such as initiating the first step of a lengthier process

DEEP MEDIAN - this is derived from the highest intent metrics that we have for a given test such as fully completed signups or sales.