Pattern #32: Condensed List Save Pattern Bookmark

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
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
Almost Certain Winner
Condensed List

  1. Remove: Explanations, Descriptions & Padding

    This pattern fits more links or listings per visible screen by decreasing the padding between items. It also suggests to remove some explanations or descriptions and show less information.

Median Effects

?

Engagement

Ex: Any Action / Visit

(2 tests)

?

Conversions

Ex: Signups, Leads

(2 tests)

?

Sales

Ex: Transactions, Upsells

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Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

Pattern #32: Condensed List
Was Tested On Thomasnet.com by Julian Gaviria

Test #262 Tested on Thomasnet.com by Julian Gaviria Julian Oct 03, 2019

Find Out How It Performed With 105,732 Visitors

Listing Desktop, Mobile

  • Measured by visits to company profile pages   |   p-val (?)

  • Measured by successful contact requests (Contact Supplier)   |   p-val (?)

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

In this experiment, the B version condensed the company listings. This was done by showing less of the description and introducing a "more" and "less" dynamic links that would expand and collapse the description.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test #114 Tested on Akademiafotograf... by Grzegorz Jancewicz Grzegorz Sep 01, 2017

Find Out How It Performed With 3,363 Visitors

Listing

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

  • Measured by form submits on next 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.