Pattern #85: Benefit Button

Pattern Author: Jakub Linowski - Founder & Editor @

Based on 5 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
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



Ex: Any Action / Visit

(5 tests)



Ex: Signups, Leads

(1 tests)



Ex: Transactions, Upsells

(3 tests)






Ex: Return Visits



Ex: Social Shares


Pattern #85: Benefit Button
Was Tested On by Franklin Valadares

Test 6 Tested on by Franklin Valadares Franklin Sep 15, 2015

Find Out How It Performed

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


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The Same Pattern Was Also Tested Here

Test 40 Tested on by Herman Klein Aug 13, 2019

Find Out How It Performed With 13,454 Visitors

Product Desktop
  • Measured by order starts   |   p-val (?)

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

In this experiment only the button label changed. The control had a more immediate (next step-oriented) button label of "Upload Your Photos Now". The variation tried a more benefit-oriented button of "Order Now" (hinting at paying and obtaining the product).

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Test 213 Tested on by Vito Mediavilla Vito Dec 04, 2018

Find Out How It Performed With 26,639 Visitors

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

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

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Test 204 Tested on by Niels Hapke Niels Oct 11, 2018

Find Out How It Performed With 171,904 Visitors

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

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

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

Find Out How It Performed With 67,451 Visitors

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

  • Measured by actual sales   |   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.