Pattern #68: Welcome Discount

Pattern #68  Tested 3 timesFirst tested by Viljo Vabrit Recently tested by Jakub Linowski on Apr 30, 2025

Based on 3 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
Welcome Discount (Variant A) Welcome Discount (Variant B)

Expected Median Effects Of B

X.X%

Progression

(2 tests)

-

Leads

X.X%

Signups

(1 tests)

-

Engagement

X.X%

Sales

(3 tests)

-

Revenue

-

Retention

-

Referrals

X.X%

ANY PRIMARY

(3 tests)

All 3 tests meta-analyzed: +X.X% combined effect (p-val X.XXXX)

44.3% of 90% cumulative power target at 2% MDE from 3 tests Help replicate this with an A/B test

90%
4.2% 38.1% 6.1%
Home & Landing 2 tests: X%
Product 1 test: X%

Tests

Pattern #68: Welcome Discount
Was Tested by Jakub Linowski

Added

Isolated

Test # 419 by Jakub LinowskiJakub Linowski Jun 29, 2022 Test link

Find Out How It Did With 196,639 Visitors

  • Measured by adds to cart

  • Measured by completed sales

  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
Zoom In
Welcome Discount - Variant A A
Welcome Discount - Variant B B
Statistical Power by Minimum Detectable Effect
6%0.5%
12.9%1%
38.1%2%
80%3.4%
98.5%5%
99.9%10%
99.9%15%
99.9%20%

In this experiment, the presence of a discount modal (bigger discount for larger purchases) was tested on home and product pages. The trigger happend after a scroll down, a few second pause, and a mouse scroll up interaction. Impact on sales was measured.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Added

Isolated

Test # 589 Apr 30, 2025 Test link

Find Out How It Did With 23,605 Visitors

  • Measured by adds to cart

  • Measured by completed sales

  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
Zoom In
Welcome Discount - Variant A A
Welcome Discount - Variant B B
Statistical Power by Minimum Detectable Effect
3%0.5%
4%1%
6.1%2%
17.5%5%
52.6%10%
80%14%
85.2%15%
97.7%20%

This experiment added one extra layer of persistence to an appearing welcome discount offer. In the variation, a welcome discount appeared on product pages after some inactivity behavior combined with a delay. In the variation, the only thing that was modified was the "collapse" behavior - basically creating a small floating micro modal in the bottom right. The micro modal allowed users to return to the larger modal or collaping it for good (with a second X collapse button). Impact on sales was measured.

Get Access To See The Test Results

Added

Isolated

Test # 162 on Bullymax.com by Viljo VabritViljo Vabrit Mar 20, 2018 Test link

Find Out How It Did With 14,865 Visitors

  • Measured by mailing list signups

  • Measured by thank you page visits

  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
  • XX.X% (XXX successes out of XXX,XXX visitors)
Zoom In
Welcome Discount - Variant A A
Welcome Discount - Variant B B
Statistical Power by Minimum Detectable Effect
3%0.5%
3.3%1%
4.2%2%
8.4%5%
20.7%10%
39.6%15%
60.9%20%
80%25.4%

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.