Pattern #51: Shortcut Buttons

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

Based on 2 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
Shortcut Buttons

  1. Add: Shortcut Option Bypassing Steps Smaller Commitments

    The pattern suggests to offer a shortcut option that allows users to bypass additional steps. This can apply to bypassing landing pages and going straight to a checkout screen. Or this same pattern can also bypass a series of questions and shortcut to a final signup screen.

Median Effects

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

(1 tests)

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Sales

Ex: Transactions, Upsells

(1 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 1,335,347 Visitors

Screen: Signup
Devices: Desktop, Mobile

  •  

  • Measured by post signups page visits   |   p-val (?)

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

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Find Out How It Performed With 18,620 Visitors

Screen: Pricing

  • Measured by checkout page visits   |   p-val (?)

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

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

This test is a perfect example of pushing customers who might not be ready into a sale. The shallow metric of people clicking the "purchase" button and moving forward into a checkout screen has a highly significant 86% increase. However these people don't follow through with the actual sale, which is clear from a -16% decrease in sales. A great example of how pushing sales too hard can backfire.

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.