▸Example Flurry call (the "before")
import Flurry_iOS_SDK
let builder = FlurrySessionBuilder.init()
.withAppVersion("1.0")
.withLogLevel(FlurryLogLevelAll)
.withCrashReporting(true)
Flurry.startSession(apiKey: "YOUR_FLURRY_KEY", sessionBuilder: builder)
Flurry.log(eventName: "Purchase", parameters: [
"user_id": userId,
"value": String(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 Flurry cleanly
-
1
Remove
pod 'Flurry-iOS-SDK/FlurrySDK'fromPodfile -
2
Remove
implementation 'com.flurry.android:analytics:...'frombuild.gradle -
3
Remove
react-native-flurry-analyticsfrompackage.jsonif used -
4
Remove
Flurry.builder().build(...)initialisation andFlurry.logEvent(...)call sites -
5
If you used Flurry's Configuration Provider for remote config, plan a separate migration (e.g., Firebase Remote Config, GrowthBook)
-
6
Delete the Flurry app entry once events stop flowing (the dashboard may already be sunset by the time you migrate)
⇋Flurry vs Respectlytics — ram-only event queue
| Flurry | 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.