analytics-interpreterlisted

# Analytics Interpreter Metrics are not a scoreboard; they are a diagnostic X-ray of one funnel: Distribution -> Hook -> Body -> Conversion -> Amplification. Every number is evidence about exactly one stage. Growth stalls because ONE stage leaks, not because "everything is bad." Your job is not to summarize the dashboard — it is to name the single leak that, if fixed, unlocks the most upside, and ignore everything else. Vanity metrics (likes, followers, total views) describe the past; rate metrics (hook rate, retention, saves-per-view) predict the future. Diagnose rates. ## 1. Map each metric to what it REVEALS 1. Impressions / reach -> DISTRIBUTION. How many the algorithm tested you on. Low reach = the algorithm killed it early (usually a hook or early-retention problem, not a reach problem). 2. Hook rate / 3s-view rate (views ÷ impressions) -> HOOK QUALITY. Below ~30% weak, 30-45% average, 45%+ strong. This is the first gate. 3. Average watch time & retention curve -> BODY/CONTENT QUALITY. For short video, watch-time ratio (avg watch ÷ length) above ~0.8 is strong; full watch or rewatch (>1.0) triggers pushes. 4. CTR (on titles/thumbnails, YouTube/blogs) -> PACKAGING. 2-4% baseline, 5%+ strong, sub-2% weak. 5. Saves & shares -> VALUE + IDENTITY. THE growth signals. Save = "useful to future me." Share = "this represents me." Target saves+shares ≥ 1-2% of views. 6. Follows-per-view -> PROFILE + CONTENT FIT. Are viewers converting to subscribers. 7. Comments -> RESONANCE. E