signal-detection-pipeline

type	playbook
name	signal-detection-pipeline
description	Detect buying signals from multiple sources, qualify leads, and generate outreach context
graph	{"provides":["qualified-signal-leads","signal-intelligence"],"requires":["target-keywords","icp-criteria"],"connects_to":["skills/capabilities/company-contact-finder/SKILL.md","skills/capabilities/setup-outreach-campaign/SKILL.md"]}
skills_used	["skills/capabilities/job-posting-intent","skills/capabilities/luma-event-attendees","skills/capabilities/reddit-scraper","skills/capabilities/linkedin-post-research","skills/capabilities/linkedin-commenter-extractor","skills/composites/funding-signal-monitor","skills/capabilities/lead-qualification","skills/capabilities/contact-cache"]

Signal Detection Pipeline

Monitor multiple signal sources to find companies actively in-market for your client's solution. Combine signals for higher-confidence leads.

When to Use

• "Find companies that might need [our product]"
• "Run signal detection for [problem area]"
• "Find buying signals in [industry/topic]"

Signal Sources

Run the sources relevant to the client's ICP. Each is independent — run in parallel.

Job Posting Signals (Strongest)

Skill: job-posting-intent

Companies hiring for roles in the problem area = budget allocated and pain acknowledged.

• Input: Job keywords, ICP criteria
• Output: Qualified companies with outreach angles

Funding Signals

Skill: funding-signal-monitor

Recently funded companies = budget available, growth mandate.

• Input: Industry, funding stage filter
• Output: Funded companies with timing context

Conference Attendance Signals

Skill: luma-event-attendees

People attending events in the problem space = actively engaged.

• Input: Event URLs or topic search
• Output: Person/company list

Reddit Pain Signals

Skill: reddit-scraper

People complaining about or discussing the problem = experiencing the pain.

• Input: Keywords, relevant subreddits
• Output: Posts with authors, context

LinkedIn Content Signals

Skill: linkedin-post-research + linkedin-commenter-extractor

People posting about or engaging with the problem = thought leaders or practitioners.

• Input: Keywords, time frame
• Output: Posters and commenters with engagement data

Combining Signals

After running relevant sources:

1. Deduplicate companies appearing across multiple signals (multi-signal = strongest leads)
2. Score each lead: assign signal strength based on source quality and recency
   • Job posting + funding = highest intent
   • LinkedIn post + Reddit complaint = validated pain
   • Single conference attendance = lowest (awareness only)
3. Enrich top leads with web search for company details
4. Consolidate into a single Google Sheet: Company, Signal Sources, Signal Strength, Context, Outreach Angle
5. Prioritize companies with multiple signal types

Human Checkpoints

• After combining signals: Review consolidated list before outreach