Pattern #6: Customer Star Ratings

Pattern Author: Jakub Linowski - Founder & Editor @ GoodUI.org

Based on 3 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
Almost Certain Winner
Customer Star Ratings
  1. Customer Reviews Social Proof

    The patterns suggests to show a summary of customer reviews summed up with a star rating (or average number out typically ranked out of 5). Other elements which can be shown beside a customer review may include: a customer’s name, recency time stamp, the review itself, a badge/logo of the reviewer source and positive/negative review counts. It seems that the more information which is shown along with the review (similar to testimonials), the more credible and authentic the review may be perceived.

Median Effects

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Engagement

Ex: Any Action / Visit

(2 tests)

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Conversions

Ex: Signups, Leads

?

Sales

Ex: Transactions, Upsells

(2 tests)

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Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

Find Out How It Performed With 673,296 Visitors

Screen: Listing
Devices: Desktop
  •  

  • Measured by recipe page opens   |   p-val (?)

Get Access To See The Test Results Now

  • Test 43
  • Tested on Embracepetinsura... by Matt Aster
  • Aug 01, 2015

Find Out How It Performed With 69,436 Visitors

Screen: Home & Landing
  •  

  • Measured by visits to thank you page   |   p-val (?)

Get Access To See The Test Results Now

  • Test 53
  • Tested on An Anonymous Site
  • Aug 01, 2015

Find Out How It Performed With 117,360 Visitors

Screen: Home & Landing
  • Measured by adds to cart   |   p-val (?)

  • Measured by visits to thank you page   |   p-val (?)

Get Access To See The Test Results Now

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.