Pattern #12: Payment First

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
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-3
-2
-1
0
+1
+2
+3
+4
+5
Almost Certain Winner
Payment First
  1. Less Visible Free Plan Choice

    The pattern suggests to de-prioritize the free plan by making it less visible (ex: as a smaller text link).

  2. More Prominent Payment Plans Recommending

    Plans which lead to a payment flow or credit-card trials are more visible.

Median Effects

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Engagement

Ex: Any Action / Visit

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Conversions

Ex: Signups, Leads

(2 tests)

?

Sales

Ex: Transactions, Upsells

(1 tests)

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Revenue

Ex: AOV, LTV

(1 tests)

?

Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

Pattern #12: Payment First
Was Tested On Volders.de by Alexander Krieger

Find Out How It Performed

Screen: Signup
Devices: Desktop, Mobile
  • Measured by total leads (free and paid)   |   p-val (?)

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

This test deprioritized the free option (kostenlos) of cancelling a contract. It did so by placing it under the paid options as small text link / radio option.

Get Access To See The Test Results Now

The Same Pattern Was Also Tested Here

  • Test 166
  • Tested on Olark.com by Sunir Shah
  • Apr 05, 2018

Find Out How It Performed With 61,916 Visitors

Screen: Home & Landing
Devices: Desktop, Mobile
  • Measured by account signups   |   p-val (?)

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

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.