// Case studies
Unified product analytics, GA4, Mixpanel, and warehouse bridge
Conflicting activation metrics across tools, event dictionary, dbt models, and executive dashboard aligned growth and engineering.
By Simplileap · Published July 8, 2025 · 8 min read
An edtech platform, marketing used GA4, product used Mixpanel, finance used warehouse exports, reported three different activation numbers in the same leadership meeting.
Simplileap instrumentation plan: canonical event dictionary in Notion with owner per event; Segment-style taxonomy implemented via RudderStack; dbt models in Snowflake as source of truth; Looker dashboard for exec KPIs.
Problems: legacy events fired pre-consent, Consent Mode alignment; mobile app version skew, schema versioning with JSON schema CI check; Mixpanel historical data not backfillable, documented cutoff date in dashboard footnotes.
Alerting: anomaly detection on daily signup funnel with PagerDuty to growth engineer on-call.
Outcome: single activation definition adopted in QBR; experiment analysis time down 40%; data team tickets on "which number is right" near zero. Edtech platform anonymized.
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