You can often improve an app’s speed without replacing its codebase. Start by measuring where users wait, then target the bottleneck: repeated downloads, oversized files, unnecessary work on the first screen, slow delivery across distance, or expensive data reads. Make one change at a time and check field metrics afterward; no technique guarantees a fixed speed increase for every app.
1. Measure the user experience before changing anything
First find out whether users are waiting for a page to appear, waiting for it to respond, or seeing it shift as it loads. Google’s Core Web Vitals guidance uses three measures:
- Largest Contentful Paint (LCP): how quickly the main content appears. Google’s recommended good target is 2.5 seconds or less.
- Interaction to Next Paint (INP): how quickly the page responds to user interactions. Google’s recommended good target is under 200 milliseconds.
- Cumulative Layout Shift (CLS): how much visible content shifts unexpectedly. Google’s recommended good target is below 0.1.
Use the device-segmented Core Web Vitals report in Google Search Console to see whether mobile and desktop users have different problems. Pair field data with lab diagnostics: field data shows what users experience, while lab tools help investigate likely causes. Record a baseline before making changes, and compare the same metrics afterward.
2. Set browser and server caching deliberately
Caching avoids retrieving or rebuilding data that can safely be reused. It can help with versioned static files such as CSS, JavaScript, fonts, and images, as well as responses whose contents do not need to be fresh on every request.
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Choose expiration rules according to how often each item changes, and define how cached copies are invalidated when it does. Versioned asset filenames make it practical to cache unchanged files for longer while publishing a new URL when an asset changes. For personalized or frequently changing responses, use a policy that reflects their freshness needs rather than reusing a potentially outdated copy.
Digital.gov recommends browser caching and cautions that overly long cache settings can leave users with old versions after an update. Test both sides of the trade-off: repeat visits should reuse eligible content, and a release should make changed content available without an unnecessarily stale copy.
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3. Compress and minify network payloads
Reduce the bytes the app sends, especially for text-based responses. Enable server-side compression for supported text content, and minify CSS and JavaScript by removing formatting and other unnecessary characters from production files. Also remove payload content the page does not need.
Digital.gov discusses gzip and lighter page resources as ways to improve delivery. The World Wide Web Consortium’s 2025 Web Sustainability Guidelines say server-side compression can reduce energy use and load times while saving bandwidth and improving performance. Check that compression is enabled for the response types your app actually serves, and verify the resulting transfer sizes rather than assuming every file benefits equally.
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4. Defer non-critical work without delaying the first screen
Pages with substantial below-the-fold media can avoid loading every image or iframe immediately. Lazy-load content that is not needed until a user approaches it, and defer scripts that are not required for the initial view or interaction.
Keep content that is visible at first load available promptly. Google describes lazy loading as a common performance and user-experience practice, but visible content still needs to load when it enters the viewport so users and crawlers can access it. In particular, do not automatically lazy-load the resource that determines initial LCP; test whether doing so delays the main content before adopting that change.
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5. Prioritize the largest and most expensive assets
Inspect the LCP element first. If it is a hero image, serve an appropriately sized, compressed image rather than making every visitor download a larger asset than their display needs. Apply the same scrutiny to other large files and to assets delivered repeatedly.
In its coverage of the 2024 Web Almanac from HTTP Archive, web.dev reports that an image was the LCP element on 73% of mobile pages in that analysis. It also reports that 33% of HTML document requests were served from a CDN. These are population-level figures, not predictions for a particular app. A CDN or edge cache is most relevant when geographic distance and repeated delivery are significant parts of the wait; it will not by itself fix slow application processing.
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6. Profile hot paths and cache safe data reads
If a page still waits after delivery costs are addressed, investigate the time spent in application code, database queries, and remote-service calls. Use an application profiler or platform diagnostics to find slow paths before changing infrastructure; otherwise, it is easy to optimize code that is not responsible for the delay.
For frequently accessed database or remote-service data, consider caching when a slightly stale result is acceptable. Microsoft’s ASP.NET Core performance guidance recommends profiling hot code paths and considering this kind of caching. Set freshness and invalidation rules to match the data’s risk: a small delay may be acceptable for some read-heavy content but not for information that must be current.
How to choose what to try first
Match the intervention to the observed bottleneck, then assess its freshness risk, implementation effort, rollback difficulty, geographic reach, and whether field data can show its effect.
| Observed constraint | Intervention to consider | Key trade-off or check |
|---|---|---|
| Repeated delivery of reusable assets or responses | Browser or server caching | Balance reuse against freshness and invalidation needs. |
| Large text-heavy transfers | Server-side compression and minification | Check supported response types and actual transfer sizes. |
| Pages with substantial below-the-fold media | Lazy-load below-the-fold images and iframes | Protect visible content and test the initial LCP resource. |
| Network distance or repeated delivery dominates | CDN or edge caching | Confirm that delivery distance, rather than processing time, is the constraint. |
| Slow database or remote-service reads | Profile hot paths; selectively cache data reads | Use caching only where its freshness is acceptable. |
Change one thing at a time where practical, retain a rollback path, and compare before-and-after field results for the same user-facing measures. The improvement depends on the app’s bottleneck, workload, device, and network; there is no universal percentage gain for these techniques.
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