19:13

In this tutorial, Luke Iha (co‑founder of Genesis and Creative Cartel) explains why most creative strategists overlook two powerful sources of ad inspiration: the comments on a brand’s own ads and the reviews of competitor products. He walks through a live, hands‑on process for extracting actionable insights from these data streams. First, he outlines how to select relevant competitor products (direct competitors, outcome‑based alternatives, and ingredient‑specific items) and then demonstrates how to scrape Amazon reviews using tools like Apify’s Amazon Review Scraper and Claude Code. He shows how to manually or AI‑assist the analysis, looking for recurring objects, narrative arcs, body states, symbols, settings, identities, insider language, and other standout elements. Next, he applies the same framework to Facebook ad comments, using his Exodus app and manual review to surface questions, constraints, copy blocks, and quirky ideas (e.g., safety for puppies, use on cats, home‑remedy suggestions). Throughout, he emphasizes the importance of saturating one’s brain with raw audience language, iteratively organizing patterns, and then feeding the curated data back into AI for deeper pattern discovery. He repeats the process with a Sea Moss product’s Amazon reviews, extracting pain points, specific scenarios, and brand‑choice reasons. Luke concludes by recommending a repeatable workflow: onboard, analyze, wait, re‑analyze, and repeat, turning the audience’s own words into high‑performing ad hooks. He also promotes his community resources (Genesis, Creative Cartel, Exodus app, $27 Copy Blocks training) and invites viewers to book calls or ask questions.

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