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Replace Kochava RAM-only event queue

Replace Kochava with a RAM-only event queue

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

Example Kochava call (the "before")

swift Respectlytics
import KochavaTracker

KochavaTracker.shared.registerWithAppGUID("YOUR_APP_GUID")

let event = KochavaEvent(eventTypeEnum: .purchase)
event.appStoreReceiptBase64EncodedString = receiptBase64
event.priceDoubleNumber = NSNumber(value: price)
event.currencyString = "USD"
event.userIdString = userId
KochavaTracker.shared.send(event: 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 Kochava cleanly

  1. 1

    Remove pod 'KochavaTracker' from Podfile

  2. 2

    Remove implementation 'com.kochava.tracker:tracker:...' from build.gradle

  3. 3

    Remove react-native-kochava-tracker from package.json if used

  4. 4

    Remove KochavaTracker.shared.registerWithAppGUID(...) and sendEvent(...) call sites

  5. 5

    Remove NSUserTrackingUsageDescription from Info.plist if Kochava was the only ATT-needing SDK

  6. 6

    Remove AD_ID permission from the merged Android manifest if no remaining SDK contributes it

Kochava vs Respectlytics — ram-only event queue

KochavaRespectlytics
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.