# Lead Generation

> Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.

- Skill: `phy041/lead-generation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add phy041/lead-generation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/phy041/lead-generation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: PHY041 (https://skillmd.com/u/phy041)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/phy041/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 to authenticate. 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 description
- Target audience / ICP
- Pain points addressed
- Competitors
- Keywords

**Validate with user before proceeding.**

Generate 12-18 search queries across:
1. **Pain point queries** — people expressing problems your product solves
2. **Competitor frustration** — complaints about alternatives
3. **Tool/solution seeking** — "recommend a tool for..."
4. **Industry discussion** — target audience conversations

Save to `data/lead-generation/product-profile.json` and `data/lead-generation/search-queries.json`.

### Phase 2: Lead Discovery (Repeatable)

```bash
# Twitter posts (highest intent signal)
mcporter call xpoz.getTwitterPostsByKeywords query="QUERY" startDate="DATE"

# Poll for results (every 5s until completed)
mcporter call xpoz.checkOperationStatus operationId="op_..."

# Find relevant people
mcporter call xpoz.getTwitterUsersByKeywords query="..."

# Reddit posts (good for tool comparison threads)
mcporter call xpoz.getRedditPostsByKeywords query="QUERY" limit=10
```

### Phase 3: Scoring & Output

**Score (1-10):**

| Signal | Points |
|--------|--------|
| Explicitly asking for tool/solution | +3 |
| Complaining about named competitor | +2 |
| Project blocked by pain point | +2 |
| Active in target community | +1 |
| High engagement (>10 likes / 5 comments) | +1 |
| Recent (<48h) | +1 |
| Profile matches ICP | +1 |
| Is selling a competing product | -3 |
| Is a KOL/content creator (not a buyer) | -2 |

**Tiers:** 8-10 = 🔴 Hot (outreach now), 6-7 = 🟠 Warm (monitor), 5 = Watchlist, <5 = Skip

Deduplicate via `data/lead-generation/sent-leads.json` (key: `{platform}:{author}:{post_id}`).

**Output format for each lead:**

```
🔴 HOT LEAD (Score: 8/10)
@username | Job Title | Platform
"Quote from their post..."
URL: https://...
Posted: X days ago | Y likes, Z replies

Why: [Signal breakdown]

Outreach draft:
"Had the exact same problem — we ended up building [solution].
Happy to share what worked. (Disclosure: I work on [Product])"
```

## Query Limitations (Xpoz)

**Xpoz uses split-word matching, NOT phrase matching.**

- "brand voice" → matches "brand" OR "voice" → noisy results
- **FIX**: Use domain-specific compound terms with unique identifiers
- **Competitor queries work best** because competitor names are unique

## Tips

- Save product profile once, reuse daily
- Quality > quantity — filter aggressively
- Always disclose affiliations in outreach drafts
- Drafts only — user reviews before sending
- Daily budget: ~6 queries/day on free tier (~5,000 credits total)