Pattern #19: Benefit Testimonials

Pattern #19  Tested 3 timesFirst tested by Jaymie Friesen Recently tested by Niels Hapke on Jun 11, 2019

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
Benefit Testimonials (Variant A) Benefit Testimonials (Variant B)

Expected Median Effects Of B

?

Progression

(2 tests)

-

Leads

?

Signups

(1 tests)

-

Engagement

?

Sales

(2 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(3 tests)

Tests

Pattern #19: Benefit Testimonials
Was Tested On Kenhub.com by Niels Hapke

Replaced

Isolated

Test #245 on Kenhub.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Niels Hapke    Jun 11, 2019 Test link

Find Out How It Did With 130,872 Visitors

  • Measured by successful registrations

In this experiment a more elaborate and authentic testimonial was used instead of three more generic ones from social media sites.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Added

Isolated

Test #83 on Onlinefaxes.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Jaymie Friesen    Mar 02, 2017 Test link

Find Out How It Did With 25,482 Visitors

  • Measured by starting the signup funnel

  • Measured by visits to thank you page (3 more steps)

Get Access To See The Test Results

Added

Isolated

Test #48 on Adoramapix.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Herman Klein    Oct 01, 2016 Test link

Find Out How It Did With 19,399 Visitors

  • Measured by customization starts

  • Measured by visits to thank you page

Get Access To See The Test Results

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.