Game Analytics Platform
D1/D7/D30 retention by cohort, match completion rate by skill bracket, progression funnel drop-off by level, and currency source/sink balance are game metrics that require an analytics platform designed around game data structures, not adapted from a web analytics tool. A custom game analytics platform is built around your game's event schema, the specific actions players take, the specific progression steps, and the specific economy events that determine whether the live service is healthy.
Game event tracking with schemas designed for your game's specific player actions
Retention cohort analysis by acquisition channel, player segment, and game version
Funnel analysis showing drop-off at each progression step
Economy health monitoring covering currency sources, sinks, and conversion metrics
Recent outcomes
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Multi-carrier shipping hub for Indonesian eCommerce
The problem
Retention data available but not segmented by acquisition channel, game version, or first session experience, so you know players are churning but not which players or why?
Economy health visible only in revenue numbers, with no view into the currency source/sink balance that shows inflation developing before it becomes a player complaint?
Short answer
RaftLabs builds custom game analytics platforms for game studios with player event tracking using custom schemas, retention cohort analysis, funnel reporting, economy health monitoring, matchmaking quality metrics, and live service dashboards. Most game analytics projects deliver in 8 to 14 weeks at a fixed cost.
Key takeaways
Trusted by
A custom game analytics platform answers the questions your game team actually asks rather than the generic questions a commercial dashboard makes easy to ask.
Capabilities
Event schemas designed for your game's specific actions, with server-side validation and a high-throughput pipeline that handles millions of events per second at peak load.
D1/D7/D30 cohort tracking sliced by acquisition channel and game version, with real-time aggregation via Flink so dashboards reflect the current cohort, not an overnight batch.
Step-by-step completion rates and time-to-complete distributions identify stalls versus quits, with statistically validated A/B test funnel comparisons.
Currency source/sink ratio tracking catches inflation drift early, with ARPU/ARPPU segment breakdowns and XGBoost-based churn risk scoring.
Live ops event impact measurement, matchmaking skill-differential and abandonment tracking, correlated with server performance metrics by region.
Scheduled report delivery to Slack or email, with a drag-and-drop custom report builder for non-engineering game team members.
How we work
We map your game type, player decisions your analytics needs to inform, and current data gaps. You leave week 1 with a written scope document and a fixed-price quote.
Event schema and ingestion architecture designed against your target concurrent player count.
Ingestion pipeline, retention analysis, and economy monitoring built in parallel, tested against real event volume.
Pipeline load tested against target volume and a 3x spike scenario before launch.
Why us
The engineers who assess your event volume also build the solution. No bait-and-switch, no offshore handoff after the contract is signed.
We scope the work, calculate the cost, and lock it in writing before any development starts.
Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. Track record building high-throughput data platforms.
Custom is justified by specificity needs, not recommended by default.
No vendor retention limits or export fees standing between you and your own events.
Tell us your game type, the player decisions your analytics needs to inform, and where your current data falls short. We'll scope the right platform and give you a fixed cost.
Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.
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How much does it cost to build a customer data platform?
Custom CDP development costs $120,000–$400,000 depending on scope. At 50,000+ monthly active users, that one-time build eliminates $50K–$200K per year in Segment or mParticle fees. Here is the full cost breakdown, build-vs-buy math, and what actually drives the price.
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Read moreCommercial platforms handle standard game metrics well but lack specificity for your game's unique event taxonomy, economy metrics, and matchmaking data. Custom analytics means you own raw event data in your own warehouse without vendor retention limits, and at high event volumes a custom pipeline is more economical than per-ingestion pricing.
The ingestion pipeline is designed for peak volume using Apache Kafka or AWS Kinesis, which handle millions of events per second and decouple ingest from downstream processing. Load testing against target volume and a 3x spike scenario is part of delivery before launch.
Yes. Event data can route to BigQuery, Snowflake, or Redshift alongside the custom platform, with BI tools like Looker or Tableau querying the warehouse directly once the schema is documented.
A platform covering event tracking, retention analysis, and funnel reporting typically runs $25,000 to $50,000. A more complete system with economy health monitoring, live service metrics, and matchmaking analytics typically runs $50,000 to $100,000.
Work with us
We scope Game Analytics Platform in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
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