Pattern #56: Hover Button Save Pattern Bookmark

Pattern Author: Rodrigo Maués - Head of Product Design @ Anheuser-Busch InBev

Based on 2 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
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-1
0
+1
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Almost Certain Winner
Hover Button

  1. Remove: Buttons Or Calls To Action

    The pattern first requires any calls to action or buttons to be hidden from repeating search result listings.

  2. Add: OnHover Buttons Attention Grabs

    Calls to actions or buttons are only shown during an onhover event on a listing component.

Median Effects

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Engagement

Ex: Any Action / Visit

(2 tests)

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Conversions

Ex: Signups, Leads

(1 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

Test #230 Tested on Goodui.org by Jakub Linowski Jakub Mar 09, 2019

Find Out How It Performed With 30,699 Visitors

Listing Desktop, Mobile

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  • Measured by clicks on list items (patterns)   |   p-val (?)

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

In this test we tested onhover buttons (variant) versus more traditional always exposed and visible ones.

Get Access To See The Test Results

Test #143 Tested on Vivareal.com.br by Rodrigo Maués Rodrigo Jan 14, 2018

Find Out How It Performed With 2,594,182 Visitors

Listing Desktop

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

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

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

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.