Pattern #24: Visible Availability

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

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
Visible Availability
  1. Add: Response Time Indication Reassurances

    This pattern is measuring the effect of showing availability more visibly. For situations where people might expect a human interaction (ex: people trying to qualify as leads or waiting to receive a quote), some tests have displayed response times. Other experiments in this pattern have simply stated that some listing, product or offer is "available". 

Median Effects

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Engagement

Ex: Any Action / Visit

(2 tests)

?

Conversions

Ex: Signups, Leads

(2 tests)

?

Sales

Ex: Transactions, Upsells

(1 tests)

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Pattern #24: Visible Availability
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 (?)

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test #292 Tested on Backstage.com by Stanley Zuo Stanley Apr 13, 2020

Find Out How It Performed With 180,098 Visitors

Listing Desktop, Mobile
  • Measured by application process starts   |   p-val (?)

  • Measured by premium membership completions   |   p-val (?)

The core hypothesis of this experiment was that by showing clear availabiltiy (in green text) beside each casting call, more users would apply and become premium members. The experiment reports on two metrics: application starts (the first progression metric), and premium membership sales (merasured a few steps further in the funnel).

Get Access To See The Test Results

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 (?)

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.