~/talk

Optimizing Mobile Game LiveOps with Data-Driven Decisions

Talkat DSC Europe 24 · 2024-11-18..11-22· [data-science, game-development]
links:none on file
slides:none on file

Nanobit shares concrete LiveOps playbooks: RFM segmentation finds >35% of payers hibernating so targeted reactivation packs fail while a segmented seasonal discount drive raises revenue by 19%. Time-limited birthday events use Google’s causal impact analysis to show a 16% revenue bump in the first three days before returning to baseline. So-called chain offers and content updates produce repeatable lifts (one test +10%), and a formal success metric % gems spent (3 days) predicts which NPC updates to prioritize.

AI-written summary · about

  1. 0:00Welcome
  2. 2:14Nanobit and LiveOps
  3. 4:41RFM for pricing
  4. 7:13Testing seasonal offers
  5. 8:38Causal impact analysis
  6. 11:06Chain offers revenue
  7. 12:34Content updates engagement
  8. 15:47Prioritizing updates
  9. 17:15Key takeaways
  10. 19:03Q&A
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