Pattern #135: Product Categories

Pattern #135  Tested 6 timesTested by Andrey Andreev on Dec 18, 2024

Based on 6 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
Product Categories (Variant A) Product Categories (Variant B)

Expected Median Effects Of B

-

Progression

-

Leads

-

Signups

-

Engagement

?

Sales

(7 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(6 tests)

Tested on

Tests

Pattern #135: Product Categories
Was Tested On Online.metro-cc.ru by Andrey Andreev

Added

Isolated

Test # 567 on Online.metro-cc.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Andrey Andreev    Dec 18, 2024 Test link

Find Out How It Did With 474,550 Visitors

  • Measured by sales (returning users)

  • Measured by sales (new users)

Zoom In
  • ?% (? successes out of ? visits)
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
  • ?% (? successes out of ? visits)
B
Home & Landing

In this experiment, the variation added popular categories with links at the top of the homepage. This was done for all sets of user segments: new and returning. Impact on transactions was measured.

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The Same Pattern Was Also Tested Here

Replaced

Isolated

Test # 539 on Snocks.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Melina Hess    Jun 24, 2024 Test link

Find Out How It Did With 1,075,901 Visitors

  • Measured by completed purchases

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Global

In this experiment, two different navigation defaults were tested against each other. In one version we can see 1) more popular products with 2) more categorical granularity being shown in the expanded state. In the other version we see "new products" being shown as the default (with a lot fewer product subcategories) to choose from.

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Added

Isolated

Test # 537 on Online.metro-cc.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Andrey Andreev    Jun 19, 2024 Test link

Find Out How It Did With 100,360 Visitors

  • Measured by completed purchases

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Product

In this experiment, a simple product category link was added on product detail pages. These links linked to listing pages with more of a similar product type. Impact on sales was measured.

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Added

Isolated

Test # 418 on Online.metro-cc.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Andrey Andreev    Jun 28, 2022 Test link

Find Out How It Did With 78,582 Visitors

  • Measured by completed sales

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Home & Landing

In this experiment, popular product category links were added near the bottom of the homepage of an online grocery store - Metro. Impact on completed sales was measured.

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Added

Isolated

Test # 368 on Mvideo.ru by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Andrey Andreev    Aug 02, 2021 Test link

Find Out How It Did With 2,278,698 Visitors

  • Measured by completed sales

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Home & Landing

In this experiment, popular categories were added at the bottom of a long ecommerce homepage. Impact on total sales was measured.

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Added

Isolated

Test # 356 on Mvideo.ru by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Andrey Andreev    May 29, 2021 Test link

Find Out How It Did With 5,469,900 Visitors

  • Measured by completed sales

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Home & Landing

In this experiment, popular search terms were added at the bottom of a long e-commerce homepage. Hence, the variation showed additional search triggers that lead to results pages. (Translated from Russian using Google Translate)

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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.