▸Example Amplitude call (the "before")
import { Amplitude } from '@amplitude/analytics-react-native';
await Amplitude.init('YOUR_API_KEY', userId, {
trackingOptions: { ipAddress: true, language: true, platform: true },
});
await Amplitude.identify({
email: email,
plan: 'pro',
});
await Amplitude.track('Paywall Purchase', { value: price, currency: 'USD' });
Most analytics SDKs back the unsent event queue with SQLite or UserDefaults / SharedPreferences — so a phone that's been confiscated, jailbroken, or restored from backup still contains analytics state. Respectlytics's queue is RAM-only, flushed on a 30-second timer; unsent events on force-quit are lost by design, in exchange for zero on-device forensic surface.
☑Remove Amplitude cleanly
-
1
Remove the Amplitude SDK from your build (CocoaPods / SPM / Gradle / npm / pub)
-
2
Remove
Amplitude.initialize(...)andtrack(...)call sites — replace withRespectlytics.configure()andRespectlytics.track("event_name") -
3
Audit for
Identifyoperation usage — those set per-user properties; remove them -
4
If you used Amplitude Experiment for feature flags, plan a separate migration (e.g., GrowthBook or LaunchDarkly) — Respectlytics is analytics, not flagging
-
5
Confirm IDFA / AAID surfaces in your Info.plist + AndroidManifest are no longer needed by other SDKs before removing them
⇋Amplitude vs Respectlytics — ram-only event queue
| Amplitude | Respectlytics | |
|---|---|---|
| Event queue persistence | SQLite / UserDefaults / SharedPreferences | In-memory ring buffer |
| Disk usage for analytics | 0.5–10 MB typical | 0 bytes |
| Forensic data on jailbroken / rooted devices | Persistent identifiers + queued events | None |
| Survives force-quit before flush | Yes | No (events lost — by design) |
❓Frequently asked questions
Doesn't this reduce data quality?
Marginally — typical force-quit-before-flush event loss is 0.5–2% depending on platform. For aggregate metrics (funnel rates, feature adoption, release deltas) this is invisible. For per-event reconciliation it would be a problem, but per-event reconciliation isn't a use case Respectlytics supports.
What's the actual flush cadence?
30 seconds by default, plus a flush on applicationDidEnterBackground (iOS) / onPause (Android). Most events reach the network within seconds of being fired.
Is this safe for crash analytics?
Crash analytics is a separate concern — use Sentry, Crashlytics, or Bugsnag (with their own crash-aware queues). Respectlytics is product analytics; crash data has different recoverability requirements and lives in different tools.
Why is this a privacy feature?
Devices that are jailbroken, rooted, restored from backup, or forensically imaged routinely surface analytics artifacts — distinct_ids, queued events, user properties — that survive uninstall in some cases. RAM-only storage moves the dump-recovery surface to zero.