How we built a YouTube Shorts analytics tool on top of our cache
Shorts data flows through the same stack, so we can explain what the algorithm wants and where teams should spend editing hours.
Shorts live inside the same cache, so we know exactly when the swipe rate, completion %, or view velocity crosses a threshold. That lets product marketing talk confidently about Shorts without guessing.
Because every search includes type filters, saved presets behave like a YouTube Shorts analytics tool—showing which hooks work within 15–30 seconds and which channels broke out overnight.
We sync these signals into monitor digests so editors know when to cut highlights, when to publish reactions, and when to pitch Shorts-specific sponsors.
Understanding the metric stack
Shorts tracking leans on the same virality ratio and the swipe-away stats we store alongside every record.
Alerts for spike detection
Monitors fire whenever a Short clears a view or ratio threshold, so social leads can react instantly.
Turning data into scripts
Exports include title, hook, ratio, and runtime so teams can draft scripts or briefs without hunting for context.
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