Sales Pipeline

---
name: sales-pipeline
category: business-productivity
description: 销售管道自动化，匿名访客转化、沉睡交易激活与 ICP 学习
version: 1.0.1
display_name: "sales-pipeline"
display_name_en: "Sales Pipeline"
description_zh: "销售管道自动化，匿名访客转化、沉睡交易激活与 ICP 学习"
description_en: "Sales pipeline automation: anonymous visitor routing, deal resurrection, ICP learning"
visibility: "public"
---
# AI Sales Pipeline

## Preamble (runs on skill start)

```bash
# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true

# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || true
```

> **Privacy:** This skill logs usage locally to `~/.ai-marketing-skills/analytics/`. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See `telemetry/README.md`.

---

Complete AI-powered sales pipeline automation: website visitor identification → intent scoring → suppression → campaign routing → dead deal resurrection → trigger prospecting → self-learning ICP optimization.

## When to Use

Use this skill when:
- Setting up automated outbound from website visitor identification (RB2B)
- Running suppression checks before cold outreach
- Routing leads to the right cold email campaigns
- Reviving closed-lost deals from HubSpot
- Finding companies showing buying signals (new hires, funding, job postings)
- Analyzing prospect approve/reject patterns to improve ICP targeting

## Tools

### RB2B Pipeline (visitor → outbound)

| Script | Purpose | Key Command |
|--------|---------|-------------|
| `rb2b_webhook_ingest.py` | Webhook server + intent scoring | `python3 rb2b_webhook_ingest.py --serve --port 4100` |
| `rb2b_suppression_pipeline.py` | 5-layer suppression checks | `python3 rb2b_suppression_pipeline.py --email user@example.com` |
| `rb2b_instantly_router.py` | Full pipeline: score → suppress → route → enroll | `python3 rb2b_instantly_router.py --serve --port 4100` |

### Deal Intelligence

| Script | Purpose | Key Command |
|--------|---------|-------------|
| `deal_resurrector.py` | 3-layer dead deal revival (time decay + POC expansion + champion tracking) | `python3 deal_resurrector.py --top 10 --dry-run` |
| `trigger_prospector.py` | Web signal monitoring (new hires, funding, agency searches) | `python3 trigger_prospector.py --days 7 --top 15` |
| `icp_learning_analyzer.py` | Learn from approve/reject decisions, recommend ICP changes | `python3 icp_learning_analyzer.py` |

## Configuration

All scripts use environment variables for API keys and configuration. Copy `.env.example` to `.env` and fill in your values.

### Required Environment Variables

- `HUBSPOT_API_KEY` — HubSpot private app token (Deal Resurrector, Suppression)
- `INSTANTLY_API_KEY` — Instantly API key (Router, Suppression)
- `BRAVE_API_KEY` — Brave Search API key (Trigger Prospector)
- `DATABASE_URL` — PostgreSQL connection string (ICP Analyzer only)

### Key Customization Points

- **Intent scoring**: Edit `PAGE_INTENT_SCORES` dict in webhook_ingest to match your URL patterns
- **Agency detection**: Edit `AGENCY_KEYWORDS_*` in router for your market
- **Loss reason scoring**: Edit `LOSS_REASON_BONUS` in deal_resurrector for your close reasons
- **Signal queries**: Edit `SEARCH_QUERIES` in trigger_prospector for your target market
- **Campaign routing**: Edit `data/campaigns.json` with your Instantly campaign UUIDs

## Data Flow

```
RB2B Webhook → Ingest (score) → Suppress (5 layers) → Route (classify) → Instantly
HubSpot CRM  → Deal Resurrector (score + draft emails) → Review Queue
Brave Search → Trigger Prospector (score + enrich) → Outreach Queue
Prospect DB  → ICP Analyzer (learn patterns) → Filter Recommendations
```

## Dependencies

- Python 3.9+
- `requests` (for HubSpot API)
- `psycopg2-binary` (for ICP Analyzer only)
- No other external dependencies — scripts use stdlib HTTP server and urllib