Pattern #16: Welcome Mat - Partial

Pattern #16  Tested 3 timesFirst tested by Nicholas Evans Recently tested by Ardit Veliu on Apr 29, 2021

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
Welcome Mat - Partial (Variant A) Welcome Mat - Partial (Variant B)

Expected Median Effects Of B

-

Progression

?

Leads

(1 tests)

?

Signups

(2 tests)

-

Engagement

-

Sales

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(3 tests)

Tested on

Tests

Pattern #16: Welcome Mat - Partial
Was Tested On Reverb.com by Nicholas Evans

Added

Isolated

Test # 149 on Reverb.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Nicholas Evans    Feb 07, 2018 Test link

Find Out How It Did With 726,088 Visitors

  • Measured by form submits on next page

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

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The Same Pattern Was Also Tested Here

Added

Isolated

Test # 350 on Expertinstitute.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Ardit Veliu    Apr 29, 2021 Test link

Find Out How It Did With 34,967 Visitors

  • Measured by total quote leads submitted

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

In this experiment, a lead generating section with a call to action (welcome mat) was appended at the top of article pages. Impact on lead generation was measured.

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Replaced

Isolated

Test # 76 on Goodui.org by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Jakub Linowski    Feb 01, 2017 Test link

Find Out How It Did With 11,330 Visitors

  • Measured by successful email signups

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

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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.