Pattern #7: Social Counts Save Pattern Bookmark

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

Based on 7 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
Social Counts

  1. Add: Usage Numbers Social Proof

    Show how many customer or users there are for a given product or application.

Median Effects

?

Engagement

Ex: Any Action / Visit

(2 tests)

?

Conversions

Ex: Signups, Leads

(5 tests)

?

Sales

Ex: Transactions, Upsells

(2 tests)

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Test #242 Tested on An Anonymous Site May 27, 2019

Find Out How It Performed With 79,012 Visitors

Signup Desktop, Mobile

  •  

  • Measured by successful signups   |   p-val (?)

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

Get Access To See The Test Results

Test #222 Tested on Thomasnet.com by Julian Gaviria Julian Feb 01, 2019

Find Out How It Performed With 34,676 Visitors

Listing Desktop

  • Measured by next step visits (form step 2)   |   p-val (?)

  • Measured by successful registration (from step 2)   |   p-val (?)

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

Get Access To See The Test Results

Test #201 Tested on An Anonymous Site Sep 19, 2018

Find Out How It Performed With 59,003 Visitors

Thank You Desktop, Mobile

  •  

  • Measured by total upsells   |   p-val (?)

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

In this test the upsell modal had an added text box with number of people that day who took the offer. The test hypothesis was that social proof will add motivation to take an action and the offer.

Get Access To See The Test Results

Test #189 Tested on Yummly.com by Kimberly Cheung Kimberly Jul 23, 2018

Find Out How It Performed With 259,933 Visitors

Signup Desktop, Mobile

  •  

  • Measured by successful signups   |   p-val (?)

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

Get Access To See The Test Results

Test #181 Tested on Yummly.com by Kimberly Cheung Kimberly Jun 04, 2018

Find Out How It Performed With 175,247 Visitors

Signup Desktop, Mobile

  •  

  • Measured by signup funnel registrations   |   p-val (?)

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

Get Access To See The Test Results

Test #54 Tested on An Anonymous Site Aug 11, 2016

Find Out How It Performed With 95,073 Visitors

Product

  •  

  • Measured by clicks on buttons   |   p-val (?)

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

Client background (e.g. industry, business model):

This client is a healthcare company: their website is designed for lead generation. This company collects leads for their kidney-focused programs and ultimately provides kidney dialysis for those who decide to become patients.

 

Experiment background:

This experiment was focused on a right rail and the goal was to encourage more users to sign up to download the client’s free diabetes-friendly cookbook.

Get Access To See The Test Results

Test #84 Tested on Onlinefaxes.com by Jaymie Friesen Mar 02, 2017

Find Out How It Performed With 25,610 Visitors

Home & Landing

  • Measured by starting the signup funnel   |   p-val (?)

  • Measured by visits to thank you page (3 more steps)   |   p-val (?)

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

Get Access To See The Test Results

Leaks

Leak #32 from Airbnb.com   |   Nov 11, 2019 Home & Landing

Airbnb A/B Tests And Rejects Both Of These Social Proof Statements

A - Sep 25, 2019
B - Sep 25, 2019 REJECTED
C - Sep 25, 2019 REJECTED

Many companies have already tried and tested the pattern of displaying numerical social proof in some form or another. In this leaked experiment from Airbnb on their host signup landing page, we managed to detect two social proof statements that were eventually rejected. Here are some potential explanations as to possibly why they failed to deliver on an improvement. View Leak

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.