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.

Data That Drives Decisions. Not Dashboards That Gather Dust.

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 Cover

What we measure. 

Player Acquisition Analytics

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.

Engagement & Retention Analytics

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.

Monetisation Analytics

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.

Predictive Churn Modelling

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.

Marketing Analytics

Campaign performance, cohort analysis, attribution modelling. Identify which touchpoints drive conversions. Cut underperforming channels. Predict campaign outcomes before committing budget.

LiveOps & Post-Launch Support

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.

Advanced Analytics

Sentiment analysis and fanbase discovery. Fraud detection and prevention. Customer Lifetime Value (CLV) modelling. Marketing mix modelling and real-time in-game analytics.

Traditional vs Advanced

WHY ADVANCED ANALYTICS WINS.

Traditional analytics runs on predefined APIs and canned reports — rigid, slow, and limited in scope. Advanced analytics means customised tracking, flexible data storage, and insights shaped around your game’s specific behaviour, not a generic template.

iXie delivers advanced analytics. The difference shows up in the numbers — and in the decisions you’re able to make.

Four Reasons Studios Trust Us With Their Automation.

Gaming data, not generic data science

Our models are trained on gaming-specific datasets — player behaviour, economy patterns, session dynamics. The predictions are sharper because the context is right.

35% ARPU uplift

For studios running our AI analytics stack. Smarter monetisation, better retention, real-time balancing — the number reflects the outcome, not the capability.

Indium's data engineering backbone

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.

Predictive, not just descriptive

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.

Ready to Make Your Data Work as Hard as Your Game?

Tell us where you’re losing players or leaving revenue on the table. We’ll show you exactly what the data says — and what to do about it.