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Analytics & KPI Framework.

A 6-week overhaul of event tracking and KPIs — cut vanity metrics, fix pipeline discrepancies, and build a decision-grade framework for games, apps, and MMPs.

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Built from reconciling product, MMP, ad network, and revenue data at portfolio scale.

What you leave with
  • Event Dictionary
  • KPI Hierarchy Map
  • Data Pipeline Audit
Good fit

BI leads, analytics heads, and product operators seeking reliable, decision-ready data stacks.

Not a fit

Not designed as a dashboard redesign when the underlying definitions and pipelines remain unresolved.

Duration 6 weeks
Engagement Shape Diagnostic Sprint / Advisory
Target Partner BI leads, analytics heads, and product operators seeking reliable, decision-ready data stacks.

Most product teams do not suffer from a lack of data; they suffer from data pollution. Having dozens of custom dashboards is useless if your team doesn’t trust the underlying queries or doesn’t know which metrics actually drive value. We build measurement systems that drive decisions — a discipline built reconciling analytics, MMP, and ad network data across a 575M+ download games portfolio, and equally applicable to apps, ad networks, and MMPs running the same kind of multi-source tracking.

Core Problems We Diagnose

The Deliverable Checklist

  1. The Event Dictionary: A unified, documented event tracking taxonomy that developers can easily maintain.
  2. KPI Hierarchy Map: A decision-grade tree linking low-level product events directly to top-line revenue drivers.
  3. Data Pipeline Audit: A detailed review identifying synchronization bottlenecks and leakage points in your analytics stack.
FAQ

Common questions.

What does the Analytics & KPI Framework engagement actually fix?

Most teams don't lack data, they lack trust in it. We clean up event taxonomy, remove vanity metrics that don't drive decisions, and reconcile discrepancies between client-side trackers, MMPs, ad network portals, and your internal database — then build a KPI hierarchy that ties product events to revenue.

Does this apply outside mobile games?

Yes. The methodology comes from building measurement systems across a 575M+ download games portfolio and reconciling data across MMPs and ad networks — the same taxonomy and pipeline-audit work applies to any app or platform running client-side tracking against third-party attribution and ad data.

What's the deliverable and timeline?

Six weeks. You get the Event Dictionary (a documented, developer-maintainable event taxonomy), a KPI Hierarchy Map linking product events to revenue drivers, and a Data Pipeline Audit identifying synchronization gaps and leakage points.

How does pricing work for this one?

It's scoped on the first call, not quoted upfront — the size of your event taxonomy and number of data sources varies too much for a fixed rate. That first call is 30 minutes, free, and there's no sales pitch attached.

Can this be done fully remote?

Yes. I work remote-first from Mumbai (IST) with clients across time zones, and the audit itself is largely data- and documentation-driven, so most of the work happens asynchronously with scheduled review calls.