Pattern #15: Bulleted Reassurances

Pattern #15  Tested 9 timesFirst tested by Martin Wong Recently tested by Frederik Fröhle on May 16, 2022

Based on 9 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
Bulleted Reassurances (Variant A) Bulleted Reassurances (Variant B)

Expected Median Effects Of B

?

Progression

(4 tests)

?

Leads

(3 tests)

?

Signups

(1 tests)

-

Engagement

?

Sales

(5 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(9 tests)

Tests

Pattern #15: Bulleted Reassurances
Was Tested On Snocks.com by Samuel Hess

Added

Isolated

Test #376 on Snocks.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Samuel Hess    Sep 29, 2021 Test link

Find Out How It Did With 136,126 Visitors

  • Measured by adds to cart

  • Measured by completed transactions

In this experiment, a series of reassurances were added just below the add to cart button. These included: "free shipping", "free returns" and an "anti-hole guarantee". The test ran on the product page of an socks ecommerce company. Impact on sales was measured.

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The Same Pattern Was Also Tested Here

Added

Isolated

Test #412 on Volders.de by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Frederik Fröhle    May 16, 2022 Test link

Find Out How It Did With 53,120 Visitors

  • Measured by successful cancellations

The Volders experimentation team assumed that adding information about how long it might take to get a cancellation confirmation near a CTA Button would result in higher cancellation requests (the paid service being offered).

The variation contained additional copy translated from German to: "Most of our users receive their cancellation confirmation from <vendor> within 14 days by email or letter."

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Replaced

Isolated

Test #104 on 3dhubs.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Rob Draaijer    Mar 31, 2021 Test link

Find Out How It Did With 50,698 Visitors

  • Measured by placed quotes

This experiment attempted to increase the number of leads on a lead-funnel. As the first step, users were being asked to upload a file. The control showed the file types that were allowed, whereas the variation changed the copy to show a number of benefits for taking that action. The text-based benefits included the: receiving feedback, prices and lead times.

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Added

Isolated

Test #152 on Reverb.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Nicholas Evans    Feb 13, 2018 Test link

Find Out How It Did With 487,851 Visitors

  • Measured by offers started

  • Measured by sales from offers & direct buys

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Added

Isolated

Test #106 on Examine.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Martin Wong    May 23, 2017 Test link

Find Out How It Did With 10,576 Visitors

  • Measured by checkout page visits

  • Measured by total sales

Three reassurances were added underneath each purchase button: Lifetime Updates, Works On All Devices and Money-Back Guarantee.

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Added

Isolated

Test #95 on Vivareal.com.br by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Rodrigo Maués    May 01, 2017 Test link

Find Out How It Did With 20,832 Visitors

  • Measured by successful form submits

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Added

Isolated

Test #87 on Vivareal.com.br by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Rodrigo Maués    Mar 01, 2017 Test link

Find Out How It Did With 102,305 Visitors

  • Measured by form submits

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Replaced

Isolated

Test #79 Tested on An Anonymous Site    Jan 10, 2017 Test link

Find Out How It Did With 11,006 Visitors

  • Measured by with total adds to cart

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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.