Discovery Decoded: Your Guide to the Meta Horizon Store

on YouTube ↗33m

" summary

Explains how discovery actually works on Meta Quest: automated ranking prioritizes relevance and engagement (signals include query match, past behavior, session time and repeat sessions) while manual placements use four filters — star rating/quality, community/press, audience engagement, and novelty. Recent platform changes: worlds removed from the Store and Horizon Feed retired, visual PDP and full‑width spotlight updates, achievement-based trials in beta, a deals pill, August taxonomy update, and instant search indexing replacing multi‑day delays. Actionable levers: retention, fresh assets, multi‑channel marketing, price A/B and App Ads.

AI-written summary · about

" chapters (22)

1. 0:00Introduction
2. 1:06Understanding Content Discovery
3. 2:33Major Vehicles: Store and Search
4. 3:00User Behavior and Cold Boot
5. 3:56Search Intent and Capabilities
6. 4:36The Store and Conversion
7. 5:13Automated Ranking Methods
8. 5:49Relevance and Past User Behavior
9. 6:35Measuring Positive Engagement
10. 7:48Manual Content Selection Criteria
11. 8:38Optimizing Distribution
12. 12:19Recent Changes and Work in Progress
13. 13:43Updates to Worlds and Horizon Feed
14. 14:45Visual Improvements to the Meta Quest Store
15. 15:45Optimizing Product Detail Pages (PDP)
16. 16:18Editorial Approach and Curated Collections
17. 16:55Builder Profiles and Community Engagement
18. 17:31Developer Posts and Analytics
19. 18:16New Achievement-Based Trials
20. 19:02Search Improvements
21. 20:10Taxonomy Updates and Search Indexing
22. 21:52Audience Q&A

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