Skip to content

Conversion

Download-to-paid (30 days)

Of downloads, the share that became paying subscribers within 30 days. A shorter window than the 35-day version, so it reads lower.

Reported by the same publisher in an earlier edition using a 30-day rather than 35-day window. Kept separate so the change of window is visible instead of being read as a fall in performance.

Denominator
downloads
Cohort
an install cohort
Time horizon
day 30
Sources
1
Observations
3

Compare your metric

Each source is compared against independently. Nothing here is averaged across sources, and there is no combined industry figure. This runs entirely in your browser. Your figures are never sent anywhere, never stored, and never included in analytics — only which metric you chose is counted.

View the benchmark data

Can these be compared?

Not directly comparable

Only one source in this dataset publishes this metric for this segment. That is a single reading, not a consensus.

These observations cannot be combined into one figure, so they are shown separately. Different statistics: Average vs Bottom quartile (P25). A percentile and a central estimate answer different questions and cannot be differenced.

RevenueCatState of Subscription Apps 2024

Published 2024-04-01 · 3 observations

Sample
Apps using RevenueCat for in-app subscription management, broken down by pricing, packaging, localisation, conversion and retention.
How it is aggregated
App-level metrics reported as quartiles and medians across the app population.
Measurement period
Primarily 2023, with 2022 comparisons.
Denominator
downloads

1.7%

Average

Evidence Sample, statistic and metric definition all stated by the publisher.

Methodology
Measured on a 30-day window. Later editions use 35 days, which is why this is a separate metric rather than the same series.
Comparability
Not comparable with the 35-day download-to-paid figures in the 2025 and 2026 editions: a shorter window necessarily reads lower.
As published
1.7% of downloads turned into paying subscribers in their first 30 days, which is slightly up from last report. The difference between lower quartile (.6%) and upper quartile (4.2%) remains striking.

RevenueCatState of Subscription Apps 2024Published 2024-04-01Conversion · Download-to-paid

0.6%

Bottom quartile (P25)

Evidence Sample, statistic and metric definition all stated by the publisher.

As published
The difference between lower quartile (.6%) and upper quartile (4.2%) remains striking.

RevenueCatState of Subscription Apps 2024Published 2024-04-01Conversion · Download-to-paid

4.2%

Top quartile (P75)

Evidence Sample, statistic and metric definition all stated by the publisher.

As published
The difference between lower quartile (.6%) and upper quartile (4.2%) remains striking.

RevenueCatState of Subscription Apps 2024Published 2024-04-01Conversion · Download-to-paid

Pairwise comparability

The verdict below is produced by a fixed set of rules, not a model. It looks at the metric definition, the denominator, the cohort, the statistic, the segment, the dataset and the publication dates, and reports every reason it found.

RevenueCat 2024 1.7%RevenueCat 2024 0.6%

Not directly comparable

These measure different quantities. Differencing them produces a number that means nothing.

  • Different statistics: Average vs Bottom quartile (P25). A percentile and a central estimate answer different questions and cannot be differenced.

RevenueCat 2024 1.7%RevenueCat 2024 4.2%

Not directly comparable

These measure different quantities. Differencing them produces a number that means nothing.

  • Different statistics: Average vs Top quartile (P75). A percentile and a central estimate answer different questions and cannot be differenced.

RevenueCat 2024 0.6%RevenueCat 2024 4.2%

Not directly comparable

These measure different quantities. Differencing them produces a number that means nothing.

  • Different statistics: Bottom quartile (P25) vs Top quartile (P75). A percentile and a central estimate answer different questions and cannot be differenced.

Related metrics

ConversionCompare your productMethodology and sourcesAll benchmarks