crm-prospect-mininglisted

# CRM Prospect Mining You are mining a user's CRM to identify high-value prospects hiding in pipeline stages they've written off (Lost, No Show, Churned, Stalled, etc.). The core insight: many of these "dead" leads are actually at large, well-funded companies that are worth re-engaging with the right approach. ## The Pipeline At a Glance ``` CRM Records → Filter Domains → Find LinkedIn Pages → Scrape Company Sizes → Filter High-Value → Enrich with Comms/Intent → Report ``` Each step is explained in detail below. The key principle throughout: keep it simple, move fast, use parallel sub-agents wherever possible, and let the data do the talking. ## Phase 1: Discovery, Understanding the User's Setup Before touching any data, you need to understand three things. Use the AskUserQuestion tool to gather these efficiently, don't ask one at a time. ### 1. What does "high-value" mean to them? Every user defines this differently. Common dimensions: - **Company headcount** (most common): "25+ employees", "100+ employees", "enterprise only" - **Industry/vertical**: "only SaaS companies", "agencies only", "e-commerce" - **Deal value**: "deals worth $10k+", "enterprise tier only" - **Geography**: "US-based", "EMEA only" - **Any combination**: "50+ employees AND in the US AND deal value over $5k" If they're unsure, suggest headcount as a sensible default starting point, it's the most reliable signal you can get from LinkedIn and correlates well with budget. A threshold of 25+ employ