Case Study

iGaming Analytics: 12M Events/Min Processed, 28% Player Retention Lift

Gaming · iGaming Platform

The Challenge

A European iGaming operator needed real-time player behavior analytics across 15 game verticals - processing 12M+ events per minute with sub-second insight delivery for personalization engines and responsible gaming compliance reporting.

The Solution

NINtec built a real-time streaming analytics platform using Kafka and Apache Flink, with ML models predicting player churn risk and identifying at-risk behavior patterns for responsible gaming flags. Interactive dashboards deliver insights to product and compliance teams with sub-second latency.

Results

12M+

Events/Min Processed

28%

Player Retention Lift

<1s

Insight Latency

15

Game Verticals Covered

Technology Stack

Apache FlinkKafkaPythonReactClickHouseAWS

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