Your Players Are Telling You Something. Are You Listening?
35% ARPU uplift for studios on our analytics stack. Predictive churn models that flag at-risk players 7–14 days before they leave — not after.
Most analytics implementations tell you what happened. We build systems that tell you what’s about to happen — and what to do about it. Acquisition, retention, monetisation, and live balance — all of it instrumented, visualised, and actioned using Tableau, Power BI, Google Analytics, and AI-powered predictive models built on gaming-specific data.
What we measure.
New user tracking by source — campaigns, ad networks, organic, referral. Feature-level attribution to identify what actually pulls your target audience in. Reduce acquisition costs by concentrating spend on channels that convert.
Session durations, event counts, day 1 / day 7 / day 28 retention rates. Drop-off point mapping across the full player journey — from FTUE to long-session. Dynamic difficulty and feature recommendations to keep players in the game longer.
Revenue stream analysis, transaction tracking, buyer behaviour segmentation. Strategic pricing and bundling insights driven by real purchase patterns — not assumptions. In-game economy health monitoring to catch inflation, exploit loops, and reward imbalance before they affect player trust.
AI-powered churn analysis identifies at-risk players 7–14 days before they disengage. Real-time intervention triggers — personalised offers, difficulty adjustments, re-engagement events — deployed before the player is already gone. 15–25% churn reduction for studios running our predictive stack.
Campaign performance, cohort analysis, attribution modelling. Identify which touchpoints drive conversions. Cut underperforming channels. Predict campaign outcomes before committing budget.
Automated event generation based on player engagement patterns. Real-time reward and difficulty balancing to sustain session quality across the live game lifecycle. 60% reduction in manual LiveOps time — events and balance adjustments that used to take weeks, generated in hours.
Sentiment analysis and fanbase discovery. Fraud detection and prevention. Customer Lifetime Value (CLV) modelling. Marketing mix modelling and real-time in-game analytics.
Our models are trained on gaming-specific datasets — player behaviour, economy patterns, session dynamics. The predictions are sharper because the context is right.
For studios running our AI analytics stack. Smarter monetisation, better retention, real-time balancing — the number reflects the outcome, not the capability.
We're part of a global AI and data engineering company with 20+ years of Fortune 500 data experience. That infrastructure sits behind every analytics engagement we run.
Churn flags 7–14 days early. LiveOps events generated from engagement patterns. Difficulty balanced in real time. We tell you what's coming — not just what happened.