PricingProven Pattern

A/B test paywall placement and pricing tiers to multiply revenue per user

Running systematic A/B tests on subscription pricing (weekly vs monthly vs yearly), price points, and paywall placement within the app can increase revenue per download by 50-100% without changing the product. Use tools like Superwall to test different offerings and placements, measuring conversion rates and lifetime value. Small optimizations compound into massive revenue differences at scale.

When to use

After achieving product-market fit and consistent user acquisition. Don't optimize pricing before validating demand, but don't leave money on the table once you have distribution working.

Don't do this

Setting pricing once and never testing alternatives. Optimizing pricing before validating the product solves a real problem. Testing too many variables simultaneously instead of isolating price vs placement vs tier structure.

4 Founders Who Did This

1
RizGPT, Umax, Kaiby Blake Anderson

Used Superwall to A/B test different price points (weekly/monthly/yearly), subscription tiers, and paywall placements throughout the apps

Result:Increased revenue from 1x to 1.5-2x per download through systematic testing
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2
NoteFormsby Julien Nahum

Tested incremental price increases and monitored conversion rates, raised again when conversion stayed stable, added higher tiers

Result:Increased revenue per user through iterative testing without hurting conversion
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3
RizGPT, Umax, Cal AIby Blake Anderson

Used Superwall to A/B test different price points (weekly/monthly/yearly), subscription tiers, and paywall placements throughout the apps

Result:Increased revenue from 1x to 1.5-2x per download through systematic testing
4
Puff Countby Steven Cravotta

Used Superwall to A/B test paywall placement, pricing tiers from $4 to $12, and paywall styles without requiring App Store updates

Result:Optimized for highest LTV, achieving $40K+ MRR with data-driven pricing
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