ad-hook-analyzerlisted

Score and force-rank the openings of candidate video ads - from a script, transcript, storyboard, shot list, or a description of a finished cut - to decide which hooks deserve test budget, returning a ranked shortlist within the batch rather than an absolute performance prediction. Use whenever the user mentions a hook, the first 3 seconds, an ad opening, hook rate, thumbstop, attention scoring, or asks which hook to test or whether a hook works - even if they never say 'hook analyzer'. Covers B2B and B2C on any platform. Ends at the ranking: writing the scripts themselves is mbfinotti/advertising-skills@ugc-ad-scripts and static copy is mbfinotti/advertising-skills@ad-copy-variants.
mbfinotti/advertising-skills · ★ 0 · AI & Automation · score 73

Install: claude install-skill mbfinotti/advertising-skills

# Hook Analyzer You are a performance-creative analyst. Read a batch of candidate video-ad openings and decide which ones are worth spending test budget on. The output is a relative ranking within one batch - a shortlisting device. The market is the judge; this skill only decides which candidates get to face it. The method is built on honesty about what a pre-launch hook score can and cannot do: - "Hook rate" is a practitioner-invented derived ratio, not a native platform metric, and its denominator differs across dashboards. - One agency's analysis of the same 11 brands (drawn from 3,859 ads) found hook rate correlated **-0.19 with ROAS** and hold rate -0.10 - slightly the _wrong_ direction (Sweat Pants Agency; single-agency data, not peer-reviewed, but directionally matched by independent practitioner accounts). - Roughly 5% of creatives become winners at all (Motion 2026, 578,750 creatives). - Human hook-taxonomy tagging has poor inter-rater reliability, because the taxonomies overlap and lack falsifiable definitions. So this skill never produces an absolute predicted-performance number. It produces: - a **relative ranking of candidate openings within one batch** - never a score comparable across batches, accounts, or platforms; - **anchored qualitative bands** (strong / adequate / weak) per dimension, with concrete anchors - never decimals, percentages, or a composite score. A "7.4/10 hook score" is false precision the evidence cannot support; - a