Pattern #21: What It's Worth

Pattern Author: Jakub Linowski - Founder @ GoodUI

Based on 4 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
What It's Worth

  1. Add: Higher Price Point Reference Anchoring

    Sometimes the real value of a product of service is actually higher than the shown selling price. As an example, the product might be discounted or bundled with other products. In such situations, this patterns suggests to show the higher value amount (crossed out) beside the selling price in order to communicate to customers what it's really worth.

Median Effects

?

Progression

Ex: First Action

(2 tests)

?

Leads

Ex: Leads, Quotes

(1 tests)

?

Signups

Ex: Trials

?

Engagement

Ex: Future Action

?

Sales

Ex: Transactions

(2 tests)

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Test #301 Tested on Zapimoveis.com.b... by V. Barros Peixoto Vinicius May 31, 2020

Find Out How It Performed With 136,682 Visitors

Product Desktop, Mobile

  • Measured by successful lead form submits   |   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 variation property prices were framed using higher and crossed out price points from 12 months ago - achieving a relative discount. A tooltop was also shown which explained the higher price point on howver. The example in the screenshot translates to "2% less compared to 12 months ago". This high-power experiment measured the number of leads that were generated on property (product) screens.

Get Access To See The Test Results

Test #88 Tested on Ssdnodes.com by Matt Connor Mar 31, 2017

Find Out How It Performed

Shopping Cart

  • Measured by checkout page visits   |   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

Test #2 Tested on Wpallimport.com by Louis Reingold Jan 01, 2016

Find Out How It Performed With 7,009 Visitors

Pricing

  • Measured by visits to post-thank you page   |   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

Test #117 Tested on Ssdnodes.com by Matt Connor Oct 02, 2017

Find Out How It Performed With 4,000 Visitors

Shopping Cart Desktop

  • Measured by visits to next step of checkout   |   p-val (?)

  • Measured by visits to a thank you page   |   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.