Pattern #33: Example Situations

Pattern #33  Tested 3 timesFirst tested by Sumantha Shankaranarayana Recently tested by Sorcha Mullis on Dec 14, 2022

Based on 3 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
Example Situations (Variant A) Example Situations (Variant B)

Expected Median Effects Of B

?

Progression

(1 tests)

?

Leads

(3 tests)

-

Signups

-

Engagement

-

Sales

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(3 tests)

Tested on

Tests

Pattern #33: Example Situations
Was Tested On Homewarrantyreviews.com by Sumantha Shankaranarayana

Replaced

Isolated

Test # 116 on Homewarrantyrevi... by Sumantha Shankaranarayana S. S.    Oct 01, 2017 Test link

Find Out How It Did With 5,581 Visitors

  • Measured by visits to next page

  • Measured by form completion on next screen

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

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The Same Pattern Was Also Tested Here

Added

Isolated

Test # 445 on Phorest.com by Sorcha Mullis Sorcha Mullis    Dec 14, 2022 Test link

Find Out How It Did With 132,525 Visitors

  • Measured by completed lead forms

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

In this experiment, five clickable feature elements were surfaced on the homepage. Clicking on any of these 5 elements launched an Instastory-like short 10 second video in full screen. These videos explained the key features of the software being offered. Impact on lead generation was measured.

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Added

Isolated

Test # 339 on Expertinstitute.... by Ardit Veliu Ardit Veliu    Feb 23, 2021 Test link

Find Out How It Did With 8,388 Visitors

  • Measured by form submits

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

In this experiment, a number of use cases examples were added to illustrate the situations in which experts could help. 

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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.