Subscription churn in low-PPP markets: what the data shows

Aggregate data from RevenueCat and Adapty 2026 H1 reports show churn rates in low-PPP markets are 2–3× higher than in high-PPP markets — but the cause is almost entirely price, not product fit.

Subscription apps that expand into low-PPP markets routinely see two surprising metrics: very high install volume (great), and very high churn (terrible). The default interpretation is that the product doesn't fit those markets. The data suggests something else entirely.

The churn pattern

RevenueCat and Adapty aggregate reports both show the same shape: in markets where the subscription price is >50% of the equivalent US price (i.e. not PPP-adjusted), monthly churn runs 12–18% in growth markets like India, Brazil, Indonesia, and Turkey. The same product priced at PPP-fair levels (~30–40% of US price) sees churn drop to 5–8% — closer to the global average.

What this means: churn at non-PPP prices isn't a signal that the product doesn't fit those users. It's a signal that you priced the product out of reach, the user subscribed because they wanted to try it, and then cancelled when the renewal hit a number they couldn't justify.

Why this matters operationally

If you treat churn-in-low-PPP-markets as a product problem, you spend engineering cycles on retention features that won't help. If you treat it as a pricing problem, the fix is one operational decision — drop the price 60–70%, watch the churn curve normalize.

The renewal sequence to watch

The clearest signal is the first-renewal-attempt success rate by market. Markets where first-renewal success drops below 70% are nearly always priced too high relative to local purchasing power. Markets where first-renewal success is above 85% are correctly priced.

What this means for app builders

Pull your subscription analytics by market. Sort by first-renewal success rate. Any market under 70% is a pricing problem disguised as a product problem. The fix is PPP-adjustment, not new features.