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Apple Introduces Peer Group Benchmarks to Help Developers Track app Performance

Apple has introduced a new dashboard called “peer group benchmarks” that allows developers to track their apps’ performance in comparison to other similar apps. This new feature appears within App Analytics, a tool that is already offered as part of App Store Connect.

The dashboard offers percentile data on how an app compares in certain metrics, such as conversion rate, proceeds per paying user, crash rate, and retention. These metrics are displayed in weekly intervals. Apple automatically sorts an app into a peer group based on three criteria, according to a developer support document published by the company.

Firstly, the app is sorted with other apps that are listed in the same App Store category. Within that, it is also sorted with other apps with a similar business model. Apple has defined business models for this purpose, including free, freemium, paid, paymium, and subscriptions. Finally, apps are compared against others with a similar download volume, and Apple sorts apps into low, medium, or high download volume groups.

Apple’s peer group benchmarks are not a new concept; third-party analytics services have offered similar comparisons to app developers for some time. However, unlike those services, developers will not have to pay more than Apple’s annual developer account fee to access this data.

While the dashboard may not be as robust as what is offered by rivals, it is a welcome feature for small and growing developers who may not have the revenue to justify paying for a pricier service.

Apple claims that the data surfaced to other developers for comparison is anonymized, and only aggregated data will be seen. Developers will not be able to see exactly how a specific competitor is performing.

This new dashboard could provide valuable insights for app developers looking to improve their app’s performance and gain a competitive advantage in the App Store. With this new feature, developers can easily compare their app’s performance against similar apps, identify areas for improvement, and make data-driven decisions to optimize their app’s performance.

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