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E16: Should Match-3 Players Choose Their Difficulty? (w/Dr.Julian Runge)
Manage episode 377878160 series 3418463
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You won’t want to miss this episode of Game Economist Cast.
Guest! Finally! Dr.Julian Runge is here to add some much-needed seasoning to the regular crew, bringing the takes. We discuss the role of art, science, and academia, analytic organization structures, the role of flow in retention, the role of sales versus personalization, and the best theories of difficulty.
We cover a lot of PUBLICLY published research in this episode (most by Dr.Runge!) that most industry venters haven’t seen!
[1] Getting ML-Based App Personalization Right: The Engagement Engineering Framework
[2] Price Promotions for “Freemium” App Monetization
[3] Why Free-to-Play Apps Can Ignore the Old Rules About Cutting Prices
[4] Quantity discounts on a virtual good: The results of a massive pricing experiment at King
Chapters
1. Gaming Industry and Academic Research (00:00:00)
2. Science and Art in Games (00:04:55)
3. Organizational Approaches to Game Analytics (00:16:54)
4. The Impact and Potential of Gaming (00:28:44)
5. Flow State and Personalization in Gaming (00:35:44)
6. Personalized Gaming for Enhanced Experience (00:40:27)
7. Manipulation and Unintended Consequences in Gaming (00:49:45)
8. Inclusive Gaming and Personalized Apps (00:57:00)
9. Approaches in Discounting and Personalization in Games (01:00:42)
10. Personalization in Game Revenue (01:07:17)
11. Price Anchoring and Quality in Freemium Games (01:16:11)
12. Debating the Importance of Economics (01:19:13)
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