Analytics tuning — Pak R1

Practical analytics tuning for mobile titles in Pakistan: event taxonomy, funnel hygiene, signals for retention and LTV, and lightweight dashboarding tailored for local UA channels.

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Analytics overview

Overview

Focus areas for this tuning round (R1): event taxonomy cleanup, reliable install attribution checks, session & retention signals, funnel conversion stability, and dashboard KPIs for rapid iteration in Pak market conditions.

Events
Taxonomy & deduplication
Funnels
Stability & guardrails
Signals
Early retention & engagement

Methodology — actionable steps

Stepwise actions the analytics team recommends for R1 tuning.

Remove deprecated events, standardize names, add version tags, and ensure critical events include session_id & player_id for dedup checks.

Stabilize critical funnels (install→tutorial→first win). Add timeouts, max-attempt caps, and validation steps to reduce false drop-offs.

Identify early predictors (day-1, session-depth, tutorial completion) and build a minimal dashboard for daily monitoring. Use thresholds for alerts.

Datasets & instrumentation

Key datasets to validate during R1. Confirm event naming, payload completeness, and attribution signal freshness.

Event stream sample
Payload validation
  • Raw event stream (ingest layer)
  • Processed user timeline (sessionized)
  • Attribution joins (install/UA source)

Dashboards — what to watch daily

Minimal dashboard widgets to track through R1: DAU, Day-1 retention, Tutorial completion rate, Key funnel conversion, Signal health (event volume & schema errors).

Dashboard KPI

Alert thresholds

Set soft alerts for 15% delta day-over-day and hard alerts for 30%+ deviations on critical metrics.

Creative notes UA checklist

Case study snapshot

Analyst face

Analyst: Lead analyst — Lahore office. Quick iteration using a trimmed event model led to 12% uplift in day-7 retention after fixing duplicated install attributions.

Lessons: invest 1 sprint in taxonomy, add automated schema checks, and publish a 1‑page dashboard for ops.

Appendix & resources

Quick links and sample checks to run during R1.

  • Event checklist: presence, types, ids
  • Attribution freshness test: rolling 24h comparison
  • Sessionization sanity: time-gap and session count
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FAQ

Typical R1 cycle: 2–3 sprints (4–6 weeks) with daily checks for critical KPIs.

Use your preferred analytics stack; we recommend a lightweight pipeline with schema checks and a BI layer for dashboards. Prioritize data hygiene over tool complexity.
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