Using Subscription App Benchmarks to Make Better Growth Decisions — Phil Carter, Elemental Growth

In the first 1-2 weeks with a client, a one-hour call fills a single spreadsheet with a couple dozen metrics, each averaged over the last 12 months to smooth seasonality (watch for big paywall or pricing changes in that window). Metrics cover value creation (sign-up rate, monthly retention at M1/M2/M3/M6/M12, annual retention Y1/Y2), value delivery (blended CPI, cost per trial, cost per subscriber) and value capture (trial start rate, trial conversion, install-to-paid, prices, plan mix, gross margin). Pick your category (11 options) and a percentile to compare against: P50 for indie or early apps, P75/P95 for funded startups. The red/green heat map shows gaps; first read LTV/CAC and payback, then drill into the biggest gaps. Then do deeper analysis and a subscriber survey to choose initiatives.

Benchmarks showed subscriber retention above the education P75 but low subscriber conversion, a higher price than category peers, and weak paid ad efficiency. The first three months went to: improving onboarding to turn more free users into trialers, improving the paywall to convert trialers, and optimizing pricing. A subscriber survey confirmed the diagnosis and showed what needed to change.

Benchmarks showed price and subscriber conversion both low vs peers. Ran a subscription survey of free users and subscribers about the free and premium value promises and willingness to pay for premium.

Annual subscriber retention beat the peer set while monthly retention trailed it, and the annual price was above peers. Plan: re-examine the annual price vs monthly, offer a more generous annual discount, and run paywall tests to move more users from monthly to annual.

The client's paid CPI, cost per trial and cost per subscriber were best-in-class on Facebook, but too much of its acquisition was paid. One of the first projects was growing word of mouth, SEO and other non-paid channels.

Most traffic comes from paid ads, bringing in lower-intent users; ads earn back spend by day 45, so profitable cohorts stack up over time even with ~30% annual retention.

Dating apps can't match other categories on subscriber retention, so they focus on converting new users quickly and offering several subscription tiers that capture as much willingness to pay as possible in the first 3-6 months.

Launched in 2011/2012 and focused only on the free experience, with no Duolingo Plus subscription until 2017. Now expanding into math and music to reach early adopters in new categories.

As a large company facing rising costs for each new user, Duolingo adds more ads to the free experience. This raises revenue from non-subscribers and pushes annoyed free users to pay for Duolingo Plus or Max.