Insights

Device-level Analytics from BigQuery. Not product accounts. Use People for ledger and Life stage.

Last Analytics day: 27 Sept 2026. Export gap ~Apr–Jul 2026. Purchase events ≠ cash.

DAU (devices)

BQ

1

WAU

BQ

3

MAU

BQ

13

DAU / MAU

BQ

7.7%

Daily active devices (30d)

Onboarding funnel (30d events)

All users (devices)13
Onboarding started8(61.5%)
Onboarding completed8(100.0%)
First tx event9(112.5%)
Activated (3+ tx events)10(111.1%)

Analytics devices

One row per device. Linked UID opens classic person tools; prefer People for product truth. Session counts here should match Person when opened by UID (all devices).

Analytics devices (5 / 42)

Source: BigQuery only · one row per device pseudo-id · last 90d export · Active D-1≈1 · D-7≈5

Device / userLifeLast activeSessTx evtAIPaywallScoreCountryDeviceLinked
Stéphanie Sottas
2z59hdjtpv@privaterelay.appleid.com
new2026-09-271320132SwitzerlandiPhone 14UID
Liliana Costa
lilianamelanie85@gmail.com
activated2026-09-243d ago930027SwitzerlandiPhone 13 Pro MaxUID
Boris Becarevic
becarevicboki@gmail.com
activated2026-09-234d ago571033SwitzerlandiPhone 17 Pro MaxUID
Alexandra Telychko
72np2g2txq@privaterelay.appleid.com
power2026-09-207d ago816000342United StatesiPhone 17UID
Rinedie Mbimba
t5zd2whskh@privaterelay.appleid.com
power2026-09-207d ago14143076SwitzerlandiPad (11th gen)UID

Tx evt / AI / paywall = Analytics event counts (not Firestore ledger). Linked UID = app set user_id → can open product profile. Anon = never linked to Firebase Auth in export window.

Retention heatmaps, AI event catalogs, and raw logs remain on the classic dashboard under Behavior until migrated.