ad-angle-minerlisted

# Ad Angle Miner Dig through customer voice data — reviews, Reddit, support tickets, competitor ads — to extract the specific language, pain points, and outcome desires that make ads convert. The output is an angle bank your team can pull from for any campaign. **Core principle:** The best ad angles aren't invented in a brainstorm. They're extracted from what real people are already saying. This skill finds those angles and ranks them by strength of evidence. ## When to Use - "What angles should we run in our ads?" - "Find pain points we can use in ad copy" - "What are people complaining about with [competitors]?" - "Mine reviews for ad messaging" - "I need fresh ad angles — not the same tired stuff" ## Prerequisites - **Environment variable:** `APIFY_API_TOKEN` — required for review scraping and Reddit scraping - **Web search access** — your AI agent must support `web_search` or equivalent for Twitter/X and competitor ad lookups ## Phase 0: Intake 1. **Your product** — Name + what it does in one sentence 2. **Competitors** — 2-5 competitor names (for review mining) 3. **ICP** — Who are you targeting? (role, company stage, pain) 4. **Data sources to mine** (pick all that apply): - G2/Capterra/Trustpilot reviews (yours + competitors) - Reddit threads in relevant subreddits - Twitter/X complaints or praise - Support tickets or NPS comments (paste or file) - Competitor ads (Meta + Google) 5. **Any angles you've already tested?** — So we can skip those ##