Pattern #24: Visible Response Time 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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Almost Certain Winner
Visible Response Time

  1. Add: Response Time Indication Reassurances

    The pattern suggests to show a response time where people might expect a human interaction (ex: people trying to qualify as leads or waiting to receive a quote). An average time can be used and the time can be bolded for greater visibility. Sometimes a response rate can also be shown in addition to the response time.

Median Effects

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

(2 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 #24: Visible Response Time
Was Tested On 3dhubs.com by Rob Draaijer

Test #97 Tested on 3dhubs.com by Rob Draaijer Rob May 03, 2017

Find Out How It Performed With 13,441 Visitors

Listing

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

  • Measured by orders placed   |   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

The Same Pattern Was Also Tested Here

Test #102 Tested on Vivareal.com.br by Rodrigo Maués Rodrigo May 02, 2017

Find Out How It Performed With 250,533 Visitors

Product

  •  

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

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