Pattern #10: Postponed Modal Forms Save Pattern Bookmark

Pattern Author: Justin Rondeau - Director of Marketing @ DigitalMarketer

Based on 4 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
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Almost Certain Winner
Postponed Modal Forms
  1. Replace: A Single Screen Form With A Modal Form Smaller Commitments

    This pattern suggest to place form fields onto a modal that is launched with a single button. The idea is to not to overwhelm people with too many fields and get them to commit to an action before hand. The additional benefit of this pattern is that typically the call to action or button is positioned higher and gains more visibility.

Median Effects

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Engagement

Ex: Any Action / Visit

(2 tests)

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Conversions

Ex: Signups, Leads

(4 tests)

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Sales

Ex: Transactions, Upsells

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Revenue

Ex: AOV, LTV

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Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

Pattern #10: Postponed Modal Forms
Was Tested On Mt.com by Vito Mediavilla

Test #38 Tested on Mt.com by Vito Mediavilla Vito May 01, 2016

Find Out How It Performed With 13,526 Visitors

Product
  • Measured by form fill starts   |   p-val (?)

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

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test #82 Tested on Poll-app.com by P. Olivier Martel Pierre Olivier Jan 17, 2017

Find Out How It Performed With 21,762 Visitors

Home & Landing Desktop, Mobile
  • Measured by visting next step (Step 1)   |   p-val (?)

  • Measured by adding of a question (Step 2)   |   p-val (?)

Get Access To See The Test Results

Test #69 Tested on Digitalmarketer.... by Justin Rondeau Justin Aug 01, 2016

Find Out How It Performed With 2,685 Visitors

Home & Landing Desktop, Mobile
  •  

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

Get Access To See The Test Results

Test #65 Tested on Digitalmarketer.... by Justin Rondeau Justin Mar 01, 2016

Find Out How It Performed With 5,788 Visitors

Home & Landing
  •  

  • Measured by form submits   |   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.