Intro
The challenge
Revenue uncertainty
The team suspected they were leaving money on the table with their current weekly rate, so wanted to test a higher price without risking their user base.
Hypothesis
They believed their value was high enough that a 43% price increase wouldn't deter conversion, but would increase revenue from every new customer.
Risk mitigation
Before deploying to their whole base, they needed an A/B testing environment to split traffic, test their hypothesis, and measure Proceeds Per User (PPU).
The solution
PropGPT executed a simple, but high-stakes, price point A/B test:
Control cohort
Saw the existing subscription price of $6.99.
Variant cohort
Saw the proposed new price of $9.99, with identical images and copy.
They A/B tested two distinct cohorts of users simultaneously, allowing them to measure the financial impact of the higher price on conversion and subsequent revenue.
The results
PPU soared
The variant cohort that saw the $9.99 price point delivered a 47.5% increase in PPU.
Hypothesis validated
Conversion rate erosion at the higher price was minimal, showing the trade-off was more than worth it.
Value maximized
By increasing price, PropGPT successfully captured the maximum possible value from their audience.
About Superwall
Superwall is the centralized monetization suite that converts data into revenue. It provides product, growth, and engineering teams with a unified platform to deploy paywalls, manage subscriptions, and ensure every experiment is a profitable, data-backed decision.
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