The Data Driven Advantage: Optimizing VR Games with Analytics
summary
Workshop shows which exact metrics move retention and what was changed to prove it For a VR extraction shooter the key findings are concrete: 15% first‑session extraction, 50% play twice and 33% play three times, causes of death split 40% other players 17% bots So the team locks new players to the tutorial map for five matches and dials down bots accuracy Result is clear with extraction increased fourfold and measurable bumps in daily minutes and D1–D7 retention
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chapters (12)
- 0:00Introduction and Value of Analytics
- 1:35Tailoring Analytics to Product Design
- 2:31Player Segmentation and Behavior Expectations
- 4:40Case Study: New Player Segmentation in Extraction Shooters
- 6:51Mapping Analytics Back to Business KPIs
- 8:15Case Study Analysis: Contractors by Caveman Games
- 10:16Identifying Churn through Player Funnels and Win Rates
- 13:01Actionable Insights: Adjusting Bot Difficulty and Map Access
- 15:15Impact Results: Increased Extraction Rates and Engagement
- 18:28Building an Analytics Infrastructure
- 20:19Cost and Customization of Analytics Solutions
- 21:10Audience Q&A
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