Hook Machine: Scoring and Ranking 3-Second AI Ad Openers

Описание и применение

Hook Machine – инструмент для генерации, оценки и ранжирования 3‑секундных рекламных хуков, оптимизирующий время, бюджет и движение, а также автоматически обрабатывающий отклонения по политике контента.

Задача

Creating effective 3‑second ad hooks that capture attention within the first three seconds of a UGC ad, while keeping production cost low and ensuring compliance with content policies.

Результат

Hook Machine reduced cost per candidate from $1.50–$4.00 to $0.15–$0.80, enabled best‑first ranking, and automated content‑policy self‑healing, improving editor workflow and thumb‑stop rates.

Рабочий процесс

• 1. Define hook brief with product, tone, and word count.
• 2. Hook Machine routes brief to the cheapest suitable engine based on content profile.
• 3. Engine generates hook clip (≤3s, ≤15 words, motion in first frame).
• 4. Hook scorer analyzes signals (motion density, copy fit, first frame impact, audio peak timing, caption readability).
• 5. Hooks are scored and sorted best‑first.
• 6. Editor selects top candidate for full ad production.

Доказательства

Hook Machine is the tool I built on the video generation platform to generate, score, and rank 3-second ad openers

Источник

The scorer combines heuristic signals — no ML model training required

Источник

Content-policy self‑healing: when an engine rejects content (422 or policy block), the router automatically retries with the next engine in the fallback chain

Источник