lead-generation

# Lead Generation **Find high-intent buyers from live social conversations.** Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit. ## Setup Run `xpoz-setup` skill. Verify: `mcporter call xpoz.checkAccessKeyStatus` ## 3-Phase Process ### Phase 1: Product Research (One-Time) Ask for product reference (website/GitHub/description). Use `web_fetch`/`web_search` to research. Build profile: product info, target audience, pain points, competitors, keywords. **Validate with user.** Generate 12-18 queries across: 1. Pain point queries — people expressing problems 2. Competitor frustration — complaints about alternatives 3. Tool/solution seeking — "recommend..." 4. Industry discussion — target audience Save to `data/lead-generation/product-profile.json` and `search-queries.json`. ### Phase 2: Lead Discovery (Repeatable) ```bash mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE" mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people ``` Repeat for Instagram/Reddit. ### Phase 3: Scoring & Output **Score (1-10):** - Explicitly asking for solution: +3 - Complaining about competitor: +2 - Project blocked by pain: +2 - Active in target community: +1 - High engagement (>10 likes/5 comments): +1 - Recent (<48h): +1 - Profile matches ICP: +1 - Selling competing solution: -3 **Tiers:** 8-10 Hot, 6-7 Warm, 5 Watchlist Deduplicate via `data/lead-generation/sent-leads.json` (key: `{platform}:{author}:{post_id}`). **Output:** Username, quote, URL, score, why fit, outreach draft, engagement, timestamp. **Outreach:** > "I had the same problem! Ended up using [Product] — it does [capability]. [URL] > (Disclosure: I work with [Product])" ## Tips - Save profile once, reuse daily - Quality > quantity - Always disclose affiliations - Draft only; user reviews/sends