Pattern #66: Complementary Upsell

Pattern #66  Tested 4 timesFirst tested by Devesh Khanal Recently tested by Stanley Zuo on Sep 30, 2022

Based on 4 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
Complementary Upsell (Variant A) Complementary Upsell (Variant B)

Expected Median Effects Of B

-

Progression

-

Leads

?

Signups

(2 tests)

-

Engagement

?

Sales

(2 tests)

?

Revenue

(1 tests)

-

Retention

-

Referrals

?

ANY PRIMARY

(4 tests)

Tested on

Tests

Added

Isolated

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

Find Out How It Did

  • Measured by average order value

Zoom In
A
B
Shopping Cart

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Added

Isolated

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

Find Out How It Did With 63,410 Visitors

  • Measured by visits to post payment page

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

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Added

Isolated

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

Find Out How It Did With 6,079 Visitors

  • Measured by visits to thank you page

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

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Added

Isolated

Test #434 on Learnwithhomer.c... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Stanley Zuo    Sep 30, 2022 Test link

Find Out How It Did With 6,098 Visitors

  • Measured by total trials

  • Measured by annual trials

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

In this experiment, an upsell modal appeared during a signup funnel. In the variation, if users did not select a monthly plan, they were nudged to an annual one. Impact on overall and annual signups was measured.

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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.