Pattern #66: Complementary Upsell Save Pattern Bookmark

Pattern Author: Devesh Khanal - Founder & CEO of Growthrock.co

Based on 3 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
Almost Certain Winner
Complementary Upsell

  1. Product Recommendations Recommending

    The pattern suggests to show relevant products that are purchased together.

Median Effects

?

Engagement

Ex: Any Action / Visit

?

Conversions

Ex: Signups, Leads

?

Sales

Ex: Transactions, Upsells

(2 tests)

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Revenue

Ex: AOV, LTV

(1 tests)

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Pattern #66: Complementary Upsell
Was Tested by Jakub Linowski

Test #57 Tested on An Anonymous Site Jul 07, 2016

Find Out How It Performed With 6,079 Visitors

Checkout

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  • Measured by visits to thank you page   |   p-val (?)

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

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test #177 Tested on An Anonymous Site May 17, 2018

Find Out How It Performed

Shopping Cart

  •  

  • Measured by average order value   |   p-val (?)

Zoom In
  •  
  •  
A
  •  
  •  
B

Get Access To See The Test Results

Test #178 Tested on An Anonymous Site May 17, 2018

Find Out How It Performed With 63,410 Visitors

Product

  •  

  • Measured by visits to post payment page   |   p-val (?)

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

Get Access To See The Test Results

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.