champion-move-outreach

What it does

Tracks known buyers, champions, and power users for job changes. When someone who already knows your product moves to a new company, that signal is used to research the new company for ICP fit and draft personalized outreach that leverages the existing relationship.

How it works

• Step 0: Configuration (One-Time Setup): Collect preferences on people_source, tracked_categories, ICP fields, signal detection config, outreach tool, and your_company context. Store in a JSON config path.
• Step 1: Detect Job Changes: For each tracked person, use the configured detection_tool to verify if they moved from last_known_company. Output movers with new_company, new_title, start_date, and other move details; also record no_change and unable_to_verify cases. Human checkpoint summarizes tracked/moved/unchanged and prompts for proceeding with research.
• Step 2: Research New Company & Qualify Against ICP: For each mover, perform web research to describe the company and assess ICP fit against target_industries, target_company_size, target_geographies, disqualifiers, and minimum_deal_size. Assess authority, department fit, influence trajectory, and seniority. Determine outreach approach based on old category and new title. Output qualified_movers with comprehensive nested data: person, move, new_company_research, qualification, priority_tier, and disqualified_movers for those failing criteria. Tier definitions dictate urgency.
• Step 3: Find New Contact Details: For qualified movers, use contact_tool to locate new work emails or fall back to LinkedIn. Output contactable_movers with new_email and confidence, or email_not_found with LinkedIn fallback. Human checkpoint summarizes emails vs LinkedIn-only contacts.
• Step 4: Draft Personalized Outreach: Draft outreach that leverages the existing relationship rather than cold messaging (details beyond this excerpt are not provided in the supplied content). The process is designed to tailor messages to the mover’s new role and company context.

When to use it

Use when you have a set of known relationships (past buyers, champions, power users) and you want to monitor for job changes, then qualify those changes against ICP and prepare personalized outreach. It supports multiple tools for detection and outreach and is described as tool-agnostic.

What it can touch

• Detection tools: LinkedIn profile monitoring, Apollo job change data, Web search (tool-agnostic).
• Research and qualification: web search access, ICP fields, company data, and outreach planning data structures.
• Contact discovery: contact_tool (Apollo, Clearbit Prospector, Web search, LinkedIn).

Caveats

• Requires configuration data to function (input sources, ICP criteria, and outreach settings).
• Outcomes depend on successful data gathering from detection and contact tools; there are explicit output structures and human checkpoints to approve before drafting outreach.
• The workflow references several explicit data schemas (e.g., movers, qualified_movers) and requires consistent data formats as described in the steps.