Pattern #46: Pay Later

Pattern Author: Daniel Shapiro - Co-Founder @ Designlab

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
Pay Later

Pattern Properties

  1. Add: No Payment Today Message Reassurances

    Assuming that a payment isn't collected immediately the time of filling out the form, this pattern suggests to clarify this. One way to do this is simply with text in proximity to the form, stating that money will not be withdrawn today.

  2. Add: When Will Payment Occur Reassurances

    The second part of this pattern also suggests to inform customers when the payment will actually happen.

Pattern #46: Pay Later
Was Tested On Trydesignlab.com by Daniel Shapiro

  • Test 137
  • Tested on Trydesignlab.com by Daniel Shapiro
  • Dec 22, 2017

Find Out How It Performed
With 2,218 Visitors
Screen: Checkout

  • Measured by visits to thank you page

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

  • Measured by visits to billing screen

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

A
B

Get Access To Full Test Results

The Same Pattern Was Also Tested Here:

  • Test 183
  • Tested on Trydesignlab.com by Daniel Shapiro
  • Jun 19, 2018

Find Out How It Performed
With 5,495 Visitors
Screen: Product
Devices: Desktop, Mobile

  • Measured by visits enrollment form

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

  • Measured by visits to course pages

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

A
B

Get Access To Full Test Results

  • Test 140
  • Tested on Akademiafotograf... by Grzegorz Jancewicz
  • Jan 05, 2018

Find Out How It Performed
With 30,991 Visitors
Screen: Product

  • Measured by form submits

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

A
B

Get Access To Full 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.

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