Slow cold start
Heavy work on the main thread at launch, too many SDKs initialized up front and large first-screen payloads keep users staring at a splash screen.
Mobile · Performance
Mobile app performance optimization based on measurements, not guesses
We profile your app on the kind of phones your users carry, find where time, memory and battery actually go, and fix the causes in order of impact.
What is App Performance Optimization?
Mobile app performance optimization is the practice of measuring and improving how fast, smooth and efficient an app is on real devices. It covers startup time, frame rendering (jank), memory use, battery consumption, network efficiency and download size, using profilers such as Android Studio's profilers, Perfetto, Xcode Instruments and Flutter DevTools. The goal is a measurable before-and-after for each problem, not a general sense that the app feels faster.
Performance problems usually build up quietly: another SDK initialized at startup, a list that rebuilds on every scroll, images downloaded at full size, a background task that wakes the phone too often. Developers testing on fast phones over office Wi-Fi rarely notice. Users on mid-range devices and mobile data do, and they respond with poor reviews and uninstalls. On Android, high crash and ANR rates in Android vitals can also reduce how prominently Google Play shows the app.
Where mobile apps lose speed
Jank and dropped frames
Scrolling stutters and animations hitch when frames take longer than the display's refresh interval, often from layout, image decoding or rebuild work.
Memory and battery drain
Leaked screens, oversized bitmaps, frequent wakeups and constant location polling lead to crashes on low-memory phones and complaints about battery.
Heavy network use and large downloads
Chatty APIs, uncompressed images and a bloated app binary hurt users on slow connections or limited data plans.
Our App Performance Optimization service
Performance audit
Baseline measurements on representative devices for startup, frame times, memory, battery, network and size, with a ranked list of findings.
Startup optimization
Deferring non-essential initialization, lazy loading, trimming the first-screen workload and, on Android, Baseline Profiles to speed up launch.
Rendering and jank fixes
Reducing overdraw and expensive layouts, fixing unnecessary rebuilds in Flutter or recompositions in Compose, and moving heavy work off the UI thread.
Memory and battery tuning
Fixing leaks, right-sizing images and caches, batching background work and using platform schedulers instead of constant polling.
Network efficiency
Smaller payloads, pagination, compression, caching headers and request batching, coordinated with back-end changes where needed.
App size reduction
Code shrinking, removing unused resources and libraries, modern image formats and per-device delivery through Android App Bundles.
Included capabilities
- Cold and warm start measurement
- Frame timing and jank analysis
- Memory leak detection
- Battery and wakeup profiling
- Network request audit
- App size breakdown
- Android Baseline Profiles
- Flutter rebuild and raster analysis
- Before-and-after benchmark report
- Performance checks in CI
What App Performance Optimization changes for your business
Users stay longer
Faster launches and smooth scrolling remove common reasons people abandon an app.
Better store standing
Lower crash and ANR rates help the app meet Google Play's Android vitals expectations.
Works on more devices
Lower memory and size requirements make the app usable on phones it struggled with before.
Evidence for every change
Before-and-after measurements show what improved, instead of relying on impressions.
Where it makes the biggest difference
Poor reviews about speed
Store reviews mention lag, freezing or long loading, and you need to find out which parts of the app are responsible.
Android vitals warnings
Play Console shows elevated crash or ANR rates, and the app needs to be brought back within Google's thresholds.
Apps for low-end devices
Audiences on entry-level phones and slower networks, where memory, size and data use decide whether the app is kept.
Flutter apps that feel sluggish
Flutter apps with excessive widget rebuilds, heavy build methods or oversized image decoding that cause stutter.
Measure, fix, verify
Every fix is checked against a recorded baseline on the same devices.
Agree the symptoms
User complaints, store reviews and vitals data turned into specific, measurable problems.
Choose test devices
A small set of devices representing your audience, including mid-range and older phones.
Baseline
Release-mode measurements recorded so every later change can be compared against them.
Profile
Traces collected with platform profilers to find the actual causes, not the suspected ones.
Fix by impact
Changes prioritized by how many users they affect and how much they improve.
Verify
Measurements repeated on the same devices to confirm each improvement.
Guard
Monitoring and, where practical, automated checks so regressions are caught in future releases.
What it connects to
App Performance Optimization
- Android Studio profilers
- Perfetto system tracing
- Xcode Instruments
- Flutter DevTools
- Firebase Performance Monitoring
- Google Play Android vitals
- MetricKit on iOS
Built with
What we measure and how
| Area | Android | iOS | Flutter |
|---|---|---|---|
| Startup time | Android Studio profilers, Macrobenchmark | Xcode Instruments (App Launch) | DevTools timeline, startup traces |
| Jank / frame drops | Perfetto, frame metrics | Instruments (Animation Hitches) | DevTools performance view |
| Memory | Memory Profiler, LeakCanary | Instruments (Allocations, Leaks) | DevTools memory view |
| Battery & background | Power profiler, Android vitals | Xcode Organizer energy reports, MetricKit | Platform tools on each OS |
| App size | APK Analyzer | Xcode app thinning size report | flutter build apk / ipa --analyze-size |
Security, quality and scale
Safe optimization
Caching and offline changes reviewed so sensitive data is not stored where it shouldn't be.
Release-mode profiling
Measurements taken on release or profile builds, never relying on debug builds that behave differently.
Controlled rollout
Performance changes released through staged rollouts and phased releases so regressions are caught early.
Server-side scalability
Slow screens caused by the API are traced to the back end and fixed there, with load in mind.
What working with us looks like
Platform and framework depth
We work in Kotlin, Swift and Flutter, so we can trace a problem through whichever layer is causing it.
Measurement first
Every engagement starts with a baseline and ends with the same measurements repeated.
Realistic test devices
We test on the kind of phones your users have, not only the newest flagships.
Front and back end
If a slow screen is really a slow API, we can fix the server side too.
What it costs
Fixed-price packages with the scope written down, paid stage by stage. Your project goes live once it's fully paid.
Related services, technologies and industries
Sources and further reading
Official documentation and guidance if you want to read more about this topic.
App Performance Optimization: questions we hear most
Why is my app slow when it was fine at launch?
Apps usually slow down gradually as features, SDKs and data are added. Each addition looks small, but together they add startup work, memory pressure and network calls; profiling shows which ones matter.
How do you measure app performance?
We measure release or profile builds on representative devices using platform profilers such as Android Studio's tools, Perfetto, Xcode Instruments and Flutter DevTools. We record startup time, frame times, memory, network and size as a baseline before changing anything.
Can you make a Flutter app faster?
Yes. Common Flutter fixes include reducing unnecessary widget rebuilds, using const constructors, lazily building long lists, resizing images before display and moving heavy computation into isolates.
How can we reduce our app's download size?
Size is reduced by shrinking and obfuscating code, removing unused libraries and resources, compressing images, and on Android publishing as an App Bundle so each device downloads only what it needs.
Do you promise a specific improvement?
No, because the possible gain depends on what is causing the problem. After the audit we share the measured baseline and which fixes we expect to matter most, then report the measured result after each change.
What is the difference between performance optimization and maintenance?
Performance optimization is focused work on speed, smoothness and efficiency. Maintenance keeps the app compatible with new OS versions and store requirements and fixes bugs; the two are often combined.
Next step
Find out what's slowing your app
Tell us what users complain about and which devices they use. We'll propose a performance audit with a measured baseline.