Hook strength

Short-form platforms allocate distribution based on how long viewers watch. The first few seconds carry disproportionate weight: a viewer who scrolls past at second 2 trains the recommender that the clip is weak; a viewer who watches past second 3 trains it that the clip is worth surfacing to more people.

AI video clippers score hook strength to surface candidate clips whose openings will actually hold attention. Without that scoring, you're back to scrubbing every segment manually, which doesn't scale beyond a handful of source videos per week.

Strong hooks share three traits across every format we've measured:

• A specific, contrarian, or counterintuitive statement that creates a question in the viewer's mind.
• A clean visual cut into the speaker — no muddled lead-in, no walking up to the point.
• Audio that's intelligible on mute (caption-readable) within the first 1.5 seconds.

When clips underperform, the opening is usually the cause. Watch for:

• A polite preamble ("so today I want to talk about…") that delays the actual hook.
• A delayed visual ("please welcome to the show…") before the speaker is on screen.
• Captions that lag the audio — viewers on mute give up before the first sentence resolves.

Clipperz combines three signals to score the opening 1.5 seconds: language-model assessment of the spoken content's specificity and tension, transcript-level pace (whether the speaker is still warming up or actually delivering), and audio energy. The combined score feeds into the broader Satisfaction-per-Impression metric so candidate clips are ranked by likely outcome rather than by raw availability.