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Replace Adjust RAM-only event queue

Replace Adjust with a RAM-only event queue

Migrate from Adjust to a RAM-only event queue. Zero bytes written to disk for analytics. Helps developers avoid collecting personal data.

Example Adjust call (the "before")

swift Respectlytics
import AdjustSdk

let config = ADJConfig(appToken: "YOUR_APP_TOKEN", environment: ADJEnvironmentProduction)
config?.logLevel = ADJLogLevelInfo
Adjust.appDidLaunch(config)

let event = ADJEvent(eventToken: "purchase_token")
event?.setRevenue(price, currency: "USD")
event?.addCallbackParameter("user_id", value: userId)
Adjust.trackEvent(event)

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 Adjust cleanly

  1. 1

    Remove the Adjust SDK from your build (Adjust / adjust-android / react-native-adjust / adjust_sdk)

  2. 2

    Remove Adjust.appDidLaunch(config) and Adjust.trackEvent(...) call sites

  3. 3

    Decide whether you still need ATT — if Adjust was your only ATT-triggering SDK, remove NSUserTrackingUsageDescription from Info.plist

  4. 4

    Remove the AD_ID permission from the merged Android manifest if no other SDK needs it

  5. 5

    Plan SKAdNetwork / Google Play Install Referrer as the first-party attribution replacement

Adjust vs Respectlytics — ram-only event queue

AdjustRespectlytics
Event queue persistenceSQLite / UserDefaults / SharedPreferencesIn-memory ring buffer
Disk usage for analytics0.5–10 MB typical0 bytes
Forensic data on jailbroken / rooted devicesPersistent identifiers + queued eventsNone
Survives force-quit before flushYesNo (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.

Related migration guides

Track what matters. Collect nothing you don't.

Five-field event schema, RAM-only event queue, no IDFA, no AAID, no persistent user IDs. Helps developers avoid collecting personal data in the first place.