Pattern #128: Standard Or Superscript Price Format

Pattern #128  Tested 2 timesFirst tested by Jakub Linowski Recently tested by Katharina Lay on May 03, 2024

Based on 2 Tests, Members See How Likely Version B Wins Or Loses And By How Much

LOSSES
-5
-4
-3
-2
-1
FLAT
+1
+2
+3
+4
+5
WINS

Measured by the sum of negative and positive tests.

A B
Standard Or Superscript Price Format (Variant A) Standard Or Superscript Price Format (Variant B)

Expected Median Effects Of B

?

Progression

(1 tests)

-

Leads

-

Signups

-

Engagement

?

Sales

(2 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(2 tests)

Tests

Pattern #128: Standard Or Superscript Price Format
Was Tested by Jakub Linowski

Replaced

Isolated

Test # 462 Mar 24, 2023 Test link

Find Out How It Did With 46,737 Visitors

  • Measured by adds to cart

  • Measured by completed sales

In this experiment, standard $ signs and cents were formatted into a smaller superscript. Impact on add-to-cart and sales was measured.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Replaced

Isolated

Test # 531 on Aboalarm.de by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Katharina Lay    May 03, 2024 Test link

Find Out How It Did With 175,677 Visitors

  • Measured by completed orders

In this experiment, the font of the euro cents amount was made smaller. Additional copy was also added underneath the price reinforcing that tax was already included in the price. Impact on transactions was measured.

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.