lead-generation

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Original

English
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Translation

Chinese

Lead Generation

销售线索生成

MCP-powered workflow for finding and qualifying B2B leads from X/Twitter conversations and profiles.
基于MCP的工作流,用于从X/Twitter对话和个人资料中寻找并筛选B2B销售线索。

MCP Tools Used

使用的MCP工具

ToolPurpose
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
工具用途
x_search_tweets
通过关键词/意向查找对话
x_get_profile
利用个人资料数据筛选线索
x_get_tweets
评估活跃度和兴趣方向
x_get_followers
检查受众规模与质量
x_get_following
识别竞品使用情况/同行网络

Workflow

工作流

  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.
  1. 定义搜索查询 -- 构建3-5个结合痛点、竞品名称或购买信号的关键词查询(例如:"looking for {tool}"、"anyone recommend {category}"、"switching from {competitor}")。
  2. 搜索对话 -- 为每个查询调用
    x_search_tweets
    ,设置
    limit: 30
    。收集唯一用户名。
  3. 筛选个人资料 -- 为每个用户名调用
    x_get_profile
    。筛选条件:包含个人简介、粉丝数>100、账号注册时长>6个月。
  4. 意向评分 -- 给出1-5分的评分:
    • 5分:明确购买意向(例如:"need a tool for..."、"budget approved")
    • 4分:对比解决方案(例如:"X vs Y"、"switching from")
    • 3分:讨论痛点(例如:"struggling with...")
    • 2分:对话题感兴趣(参与行业内容互动)
    • 1分:提及内容关联性较弱
  5. 收集背景信息 -- 针对高分线索(4-5分),调用
    x_get_tweets
    并设置
    limit: 20
  6. 检查社交网络 -- 针对高价值线索调用
    x_get_following
    ,查看其关注的竞品账号。
  7. 导出线索列表 -- 整理为结构化输出格式。

Browser Script Integration

浏览器脚本集成

Enhance MCP workflows with browser scripts:
GoalScript
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
通过浏览器脚本增强MCP工作流:
目标脚本
实时监控关键词
src/keywordMonitor.js
分析潜在线索的受众群体
src/audienceDemographics.js
检查与自身受众的重叠度
src/audienceOverlap.js
与线索内容互动
src/engagementBooster.js
自动关注合格线索
src/automation/keywordFollow.js

Output Template

输出模板

undefined
undefined

Lead List: {search_topic}

Lead List: {search_topic}

Generated: {date} | Total qualified: {count}
UsernameScoreFollowersSignalTweet URL
@{user}{1-5}{count}{type}{url}
Generated: {date} | Total qualified: {count}
UsernameScoreFollowersSignalTweet URL
@{user}{1-5}{count}{type}{url}

High-Priority Leads (Score 4-5)

High-Priority Leads (Score 4-5)

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

Tips

提示

  • 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
  • 在不同时段执行搜索,覆盖更多受众
  • 每周更新——购买信号具有时效性
  • 结合
    x_get_followers
    查找暖场介绍机会
  • 使用
    src/keywordMonitor.js
    进行持续关键词监控