How to optimize React Native app performance?

Christoph Pavlak connects performance to business outcomes, arguing that optimization helps companies get more from existing products. He cites examples that Amazon could lose $1.6 billion a year from one second of store lag, and Google could see 20% less traffic from an extra half-second of search loading. The host introduces five metrics: frames per second, time to interactive, app size, memory use, and CPU use.

The client faced falling app store ratings, rising support costs, shorter customer relationships, and difficulty acquiring new users. Many customers used low-end Android devices, where the app loaded slowly and ordering took too long. Adam reports scrolling at 40 FPS and long waits before screens and orders became usable.

The team recommends FlashList where appropriate, targeted memoization, and better networking and state management. They also describe fetching only needed data, running operations without blocking the interface, using lazy tabs, and splitting translations and features into downloadable chunks with Re.Pack. After optimization, scrolling reached 60 FPS, startup fell from 23 to 12 seconds, app size dropped to 10 MB, and the client reported a 4.5 rating and a 22% increase in new-client conversion.

Eduardo describes an audit report organized around analysis, suggestions, and expected results, with a summary of the most important issues. One example identifies hook dependencies causing extra renders; the proposed changes were expected to cut render time by about 40%. Callstack says the audit takes two to four weeks and includes a report presentation and Q&A.

The panel advises weighing new architecture support across an app's dependencies before migrating, and measuring performance both during development and with real users. For large screens, they suggest asking whether all data is needed, then fetching and rendering essential parts first. They recommend repeated profiling, low-end Android devices, and established tools such as Reassure, TanStack Query, and platform profilers.