lead-gen-pipeline

name: lead-gen-pipeline description: Automated lead generation pipeline with AI-powered lead scoring and personalized follow-up generation. Score leads 0-100 with reasoning, generate context-aware follow-ups in multiple tones. Integrates with any CRM. Use for sales automation, cold outreach, and pipeline management. homepage: https://www.agxntsix.ai license: MIT compatibility: Python 3.10+, OpenRouter API key metadata: {"openclaw": {"emoji": "\ud83c\udfa3", "requires": {"env": ["OPENROUTER_API_KEY"]}, "primaryEnv": "OPENROUTER_API_KEY", "homepage": "https://www.agxntsix.ai"}}

销售线索生成流程

这是一个基于人工智能的销售线索生成系统，能够智能地评估线索的质量，生成个性化的跟进信息，并帮助您管理销售流程。

快速入门

export OPENROUTER_API_KEY="your-key"

# Score a lead
python3 {baseDir}/scripts/lead_scorer.py '{"name":"Jane Smith","company":"Acme Corp","title":"VP Marketing","source":"webinar","actions":["downloaded whitepaper","visited pricing page 3x","opened 5 emails"]}'

# Generate follow-up
python3 {baseDir}/scripts/followup_generator.py '{"name":"Jane Smith","company":"Acme Corp","context":"Attended our AI webinar, downloaded whitepaper","stage":"warm","tone":"professional"}'

线索评分

人工智能评分系统从多个维度对线索进行评估：

评分等级

• 80-100: 🔥 高热度线索 — 立即联系，购买意向强烈 |
• 60-79: 🟡 温和线索 — 通过针对性内容进行培养，安排电话沟通 |
• 40-59: 🟠 中等热度线索 — 添加到持续跟进序列中，监控互动情况 |
• 0-39: 🔵 低热度线索 — 优先级较低，需要长期培养 |

# Score with custom ICP
python3 {baseDir}/scripts/lead_scorer.py '{"name":"...","company":"...","icp":{"industries":["SaaS","fintech"],"minEmployees":50,"titles":["VP","Director","C-suite"]}}'

个性化跟进信息生成

系统可以为销售流程的各个阶段生成个性化的跟进信息：

# Professional follow-up after demo
python3 {baseDir}/scripts/followup_generator.py '{
  "name": "Jane Smith",
  "company": "Acme Corp",
  "context": "Had a 30-min demo, interested in enterprise plan, concerned about onboarding time",
  "stage": "post-demo",
  "tone": "professional",
  "channel": "email"
}'

# Casual SMS check-in
python3 {baseDir}/scripts/followup_generator.py '{
  "name": "Mike",
  "context": "Met at conference, exchanged cards, talked about AI automation",
  "stage": "initial",
  "tone": "casual",
  "channel": "sms"
}'

# Urgent closing message
python3 {baseDir}/scripts/followup_generator.py '{
  "name": "Sarah Johnson",
  "company": "TechFlow",
  "context": "Proposal sent 5 days ago, no response, deal worth $25k, quarter ending",
  "stage": "closing",
  "tone": "urgent",
  "channel": "email"
}'

支持的语气风格

• 专业 — 正式的商务沟通风格 |
• 随意 — 友善、对话式的沟通方式 |
• 紧急 — 强调时间紧迫性，需要立即采取行动 |
• 友好 — 以建立良好关系为目标 |
• 咨询式 — 以专家建议的形式提供指导 |

支持的沟通渠道

• 电子邮件 — 包含主题行的完整邮件 |
• 短信 — 简短精炼（少于160个字符） |
• WhatsApp — 适合对话式交流，支持表情符号 |
• LinkedIn — 适合专业社交场景的沟通方式 |

销售流程阶段

• 初始阶段 — 第一次联系/主动发起沟通 |
• 温和阶段 — 消费者表现出兴趣但尚未安排会议 |
• 预约会议阶段 — 预约了会议或演示 |
• 演示后阶段 — 演示结束后 |
• 提案阶段 — 发送提案 |
• 成交阶段 — 谈判/最终决策 |
• 重新激活阶段 — 重新联系冷落或失去联系的潜在客户 |

冷落线索的跟进模板

AIDA框架

1. 吸引注意 — 用客户关心的问题引起他们的兴趣 |
2. 激发兴趣 — 表明您了解他们的需求 |
3. 创造需求 — 描述解决方案 |
4. 引导行动 — 提供清晰、易于操作的购买提示 |

进阶沟通策略

• 第1天：发送初次沟通邮件，强调产品价值 |
• 第3天：通过案例研究或第三方推荐来增强信任 |
• 第7天：尝试不同的沟通方式（视频、语音留言、表情包） |
• 第14天：发送总结邮件，询问是否可以继续跟进 |

您可以根据需要生成上述任何一种跟进模板：

python3 {baseDir}/scripts/followup_generator.py '{"name":"...","stage":"initial","sequence_step":1}'
python3 {baseDir}/scripts/followup_generator.py '{"name":"...","stage":"initial","sequence_step":4}'

客户关系管理（CRM）集成

与GHL（GoHighLevel）集成

# 1. Score incoming lead
SCORE=$(python3 {baseDir}/scripts/lead_scorer.py '{"name":"...","source":"facebook_ad"}')

# 2. Create contact in GHL with score tag
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py contacts create '{"firstName":"...","tags":["score-85","hot-lead"]}'

# 3. Add to appropriate pipeline stage
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py opportunities create '{"pipelineId":"...","stageId":"hot-stage-id","contactId":"..."}'

# 4. Generate and send follow-up
MSG=$(python3 {baseDir}/scripts/followup_generator.py '{"name":"...","stage":"warm","channel":"sms"}')
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py conversations send-sms <contactId> "$MSG"

与任何CRM系统集成

系统生成的脚本会以JSON格式输出，可以直接导入任何CRM系统的API接口。线索评分结果及评估理由也可作为CRM备注保存。

回复处理

当潜在客户回复时，系统会根据新的信息重新评估线索的评分，并生成相应的回复内容：

python3 {baseDir}/scripts/lead_scorer.py '{"name":"Jane","company":"Acme","actions":["replied to email","asked about pricing","requested demo"]}'

开发者信息

本系统由M. Abidi和agxntsix.ai共同开发。 更多相关信息请访问YouTube和GitHub。 该系统是AgxntSix Skill Suite的一部分，专为OpenClaw代理设计。

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