Pattern #11: Gradual Reassurance

Pattern #11  Tested 11 timesFirst tested by Louis Reingold Recently tested by Brian Sierakowski on Apr 30, 2021

Based on 11 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
Gradual Reassurance (Variant A) Gradual Reassurance (Variant B)

Expected Median Effects Of B

?

Progression

(5 tests)

?

Leads

(3 tests)

?

Signups

(5 tests)

-

Engagement

?

Sales

(2 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(11 tests)

Tested on

Tests

Pattern #11: Gradual Reassurance
Was Tested On Rollbar.com by Mike Smith

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Test # 103 on Rollbar.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Mike Smith    May 01, 2017 Test link

Find Out How It Did With 20,877 Visitors

  • Measured by actual signups

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

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The Same Pattern Was Also Tested Here

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Test # 351 on Baremetrics.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Brian Sierakowski    Apr 30, 2021 Test link

Find Out How It Did With 24,416 Visitors

  • Measured by visits to signup

  • Measured by actual signups

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

In this experiment, static integration logos were replaced with selectable ones that reassured users to signup. After clicking an integration logo, a comparison chart would appear showing how Baremetrics improves upon a selected payment processor, along with a call to signup. Impact on signups was measured.

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Test # 333 on Expertinstitute.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Ardit Veliu    Dec 31, 2020 Test link

Find Out How It Did With 11,258 Visitors

  • Measured by form completions

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

In this experiment, the variation broke up a lead form into two parts. In the first step users were asked for their state followed by a standard contact form on a second step. All of the states were shown as selectable options. In the control version, the landing page only showed a button which lead to the full form. The experiment measured impact on lead form submissions.

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Test # 321 Elevate App App by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Jesse Germinario    Oct 23, 2020 Test link

Find Out How It Did With 8,400 Visitors

  • Measured by "Rate Elevate" click (Google Play)

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

This experiment aimed to increase the number of application ratings from within the Elevate app. Success was measured by the number of users going towards Google Play to create the rating. The control version prompted users if they wanted to rate the app with a simple yes and no answer. The variation however presented the rating choice right away in the form of 5 stars - enabling users to express their choice sooner.

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Test # 313 on Trydesignlab.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Daniel Shapiro    Aug 19, 2020 Test link

Find Out How It Did With 13,231 Visitors

  • Measured by total leads for any program/course

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

In this experiment, instead of showing a single-focused lead form (for the UX Academy Program), users were asked to express a wider set of choices first (for the UX Academy or shortter set of skill-based courses). The experiment measured overall leads for both types of programs.

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Test # 172 on Trydesignlab.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Daniel Shapiro    May 08, 2018 Test link

Find Out How It Did With 16,341 Visitors

  • Measured by course enrollments (form submits)

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

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Test # 131 on Kenhub.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Niels Hapke    Dec 11, 2017 Test link

Find Out How It Did With 121,291 Visitors

  • Measured by visits to signup form

  • Measured by successful registrations

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

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Test # 27 on Adoramapix.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Herman Klein    Mar 01, 2016 Test link

Find Out How It Did With 1,244 Visitors

  • Measured by start of the process

  • Measured by visits to thank you page

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

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Added

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Test # 34 on Theorytestpro.co... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Henry Dillon    Mar 01, 2016 Test link

Find Out How It Did With 7,507 Visitors

  • Measured by visits to post-signup

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

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Test # 36 on Wpallimport.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Louis Reingold    May 01, 2015 Test link

Find Out How It Did With 20,239 Visitors

  • Measured by sale process starts

  • Measured by visits to post payment thank you

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

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Test # 25 on Nousdecor.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Heather Gillette    Jan 01, 2015 Test link

Find Out How It Did With 3,215 Visitors

  • Measured by visits to post-signup

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  • ?% (? 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.