Content Scoring
summary
Red Hat builds a content-scoring system that uses Adobe Analytics data to rate downloadable assets on four weighted subscores — volume, complete (download rate), trajectory (3‑month slope) and recency — combined into a 0–100 score. Example math: a 60 volume percentile, 44% completion and declining visits yields an overall 45, compared to content averages like 32 or 60. The model is live, requires evangelism, and surfaces action points (promote, fix landing page, retire).
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chapters (7)
- 0:00Content chaos at Red Hat
- 1:55Developing a scoring model
- 4:04Measuring volume and completion
- 6:42Trajectory and recency
- 9:03Weighted scoring system
- 11:46Evangelizing the data
- 14:00From production to insights
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