Lead Gen Pipeline

AI-powered lead generation pipeline. Score leads intelligently, generate personalized follow-ups, and manage your sales pipeline.

Quick Start

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"}'

Lead Scoring

The AI scorer evaluates leads on multiple dimensions:

Factor	Weight	Description
Fit	30%	Does the lead match your ICP? (title, company size, industry)
Intent	30%	Behavioral signals (page visits, downloads, email engagement)
Engagement	20%	How actively are they interacting? (recency, frequency)
Source Quality	20%	Where did they come from? (referral > webinar > cold)

Score Ranges

• 80-100: 🔥 Hot — reach out immediately, high buying intent
• 60-79: 🟡 Warm — nurture with targeted content, book a call
• 40-59: 🟠 Cool — add to drip sequence, monitor engagement
• 0-39: 🔵 Cold — low priority, long-term nurture only

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

Follow-Up Generation

Generate personalized follow-up messages for any pipeline stage:

# 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"
}'

Supported Tones

• professional — formal business communication
• casual — friendly, conversational
• urgent — time-sensitive, action-oriented
• friendly — warm, relationship-focused
• consultative — expert advice framing

Supported Channels

• email — full email with subject line
• sms — short, punchy (< 160 chars)
• whatsapp — conversational, emoji-friendly
• linkedin — professional networking tone

Pipeline Stages

• initial — first contact / cold outreach
• warm — engaged but no meeting yet
• booked — meeting/demo scheduled
• post-demo — after initial call/demo
• proposal — proposal sent
• closing — negotiation / final decision
• revival — re-engaging cold/lost lead

Cold Outreach Templates

The AIDA Framework

1. Attention — Hook with relevant pain point
2. Interest — Show you understand their world
3. Desire — Paint the outcome
4. Action — Clear, low-friction CTA

Outreach Sequences

Day 1: Initial value-first email Day 3: Follow-up with case study / social proof Day 7: Different angle (video, voice note, meme) Day 14: Break-up email ("Should I close your file?")

Generate any of these:

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

CRM Integration Patterns

With GHL (GoHighLevel)

# 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"

With Any CRM

The scripts output JSON — pipe into any CRM API wrapper. Lead scores include reasoning that can be stored as CRM notes.

Response Handling

When a lead replies, re-score with updated context:

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

Then generate contextual response:

python3 {baseDir}/scripts/followup_generator.py '{"name":"Jane","context":"She asked about pricing and wants a demo","stage":"warm","tone":"professional"}'

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

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