Session
Leveling Up Gaming Analytics: How Supercell Evolved Player Experiences With Snowplow and Databricks
Overview
| Experience | In Person |
|---|---|
| Type | Lightning Talk |
| Track | Data Lakehouse Architecture and Implementation |
| Industry | Media and Entertainment |
| Technologies | AI/BI, Databricks Workflows, Mosaic AI |
| Skill Level | Intermediate |
| Duration | 20 min |
In the competitive gaming industry, understanding player behavior is key to delivering engaging experiences. Supercell, creators of Clash of Clans and Brawl Stars, faced challenges with fragmented data and limited visibility into user journeys. To address this, they partnered with Snowplow and Databricks to build a scalable, privacy-compliant data platform for real-time insights.
By leveraging Snowplow’s behavioral data collection and Databricks’ Lakehouse architecture, Supercell achieved:
- Cross-platform data unification: A unified view of player actions across web, mobile and in-game
- Real-time analytics: Streaming event data into Delta Lake for dynamic game balancing and engagement
- Scalable infrastructure: Supporting terabytes of data during launches and live events
- AI & ML use cases: Churn prediction and personalized in-game recommendations
This session explores Supercell’s data journey and AI-driven player engagement strategies.