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分类: 营销与增长无需 API Key

lead-generation

通过关键词搜索、个人资料分析和意图评分,从X/Twitter对话中发现并鉴定B2B潜在客户。结合MCP工具构建自动化潜在客户开发流程。适用于寻找潜在客户、发掘潜在顾客或从社交对话中挖掘销售线索时使用。

person作者: jakexiaohubgithub

Lead Generation

MCP-powered workflow for finding and qualifying B2B leads from X/Twitter conversations and profiles.

MCP Tools Used

| Tool | Purpose | |------|---------| | x_search_tweets | Find conversations by keyword/intent | | x_get_profile | Qualify leads with profile data | | x_get_tweets | Assess activity level and interests | | x_get_followers | Check audience size and quality | | x_get_following | Identify competitor usage / peer network |

Workflow

  1. Define search queries -- Build 3-5 keyword queries combining pain points, competitor names, or buying signals (e.g., "looking for {tool}", "anyone recommend {category}", "switching from {competitor}").
  2. Search conversations -- Call x_search_tweets for each query with limit: 30. Collect unique usernames.
  3. Qualify profiles -- Call x_get_profile for each. Filter by: has bio, followers > 100, account age > 6 months.
  4. Score intent -- Assign 1-5 score:
    • 5: Explicit buying intent ("need a tool for...", "budget approved")
    • 4: Comparing solutions ("X vs Y", "switching from")
    • 3: Pain point discussion ("struggling with...")
    • 2: Topic interest (engages with industry content)
    • 1: Tangential mention
  5. Gather context -- For top leads (4-5), call x_get_tweets with limit: 20.
  6. Check network -- Call x_get_following for high-value leads to see competitor follows.
  7. Export lead list -- Format as structured output.

Browser Script Integration

Enhance MCP workflows with browser scripts:

| Goal | Script | |------|--------| | Monitor keywords in real-time | src/keywordMonitor.js | | Analyze potential lead's audience | src/audienceDemographics.js | | Check overlap with your audience | src/audienceOverlap.js | | Engage with leads' content | src/engagementBooster.js | | Auto-follow qualified leads | src/automation/keywordFollow.js |

Output Template

## Lead List: {search_topic}
Generated: {date} | Total qualified: {count}

| Username | Score | Followers | Signal | Tweet URL |
|----------|-------|-----------|--------|-----------|
| @{user}  | {1-5} | {count}   | {type} | {url}     |

### High-Priority Leads (Score 4-5)

**@{username}** -- Score: {n}/5
- Signal: "{tweet excerpt}"
- Bio: {bio}
- Suggested approach: {personalized outreach note}

Tips

  • Run searches at different times to catch varied audiences
  • Refresh weekly -- buying signals are time-sensitive
  • Cross-reference with x_get_followers to find warm intros
  • Use src/keywordMonitor.js for ongoing keyword monitoring