Pattern #85: Benefit Button

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

Based on 4 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
Benefit Button
  1. Benefit Label Benefits

    The label of a button or text link is framed as a positive benefit or outcome to the user.

Median Effects

?

Engagement

Ex: Any Action / Visit

(4 tests)

?

Conversions

Ex: Signups, Leads

(1 tests)

?

Sales

Ex: Transactions, Upsells

(2 tests)

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Pattern #85: Benefit Button
Was Tested On Mt.com by Vito Mediavilla

Test 213 Tested on Mt.com by Vito Mediavilla Vito Dec 04, 2018

Find Out How It Performed With 26,639 Visitors

Screen: Signup Devices: Desktop, Mobile
  • Measured by lead form visits   |   p-val (?)

  • Measured by form submits   |   p-val (?)

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test 204 Tested on Kenhub.com by Niels Hapke Niels Oct 11, 2018

Find Out How It Performed With 171,904 Visitors

Screen: Sitewide Devices: Desktop, Mobile
  • Measured by clicks on "help" link   |   p-val (?)

  • Measured by subscriptions started   |   p-val (?)

Get Access To See The Test Results

Test 203 Tested on Driving-tests.or... by Andrei Zakhareuski Andrei Oct 10, 2018

Find Out How It Performed With 67,451 Visitors

Screen: Sitewide Devices: Desktop
  • Measured by visits to premium landing page   |   p-val (?)

  • Measured by actual sales   |   p-val (?)

Get Access To See The Test Results

Test 6 Tested on Runrun.it by Franklin Valadares Franklin Sep 15, 2015

Find Out How It Performed

Screen: Home & Landing Devices: Desktop, Mobile
  • Measured by visits to signup screen   |   p-val (?)

  •  

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.