Lead Intelligence

Buying Signal Pipeline: Turn Community Activity Into Qualified Leads

A practical pipeline to detect intent from GitHub, Discord, docs, and product events. Score, route, and close without spam.

Marcus Storm-Mollard
January 2026
11 min read

TL;DR

Buying signals are already in your product and community. The pipeline is about collecting them, scoring intent, and creating a lightweight weekly motion for follow-up.

What Counts as a Buying Signal?

Signals are actions that correlate with a real evaluation or rollout:

  • Multiple engineers from the same company joining your Discord
  • Repeated visits to pricing or enterprise docs
  • Questions about SOC2, SSO, or support SLAs
  • High-volume usage spikes from a new domain

Step 1: Capture Events Across Channels

You need a unified event stream. Start with:

  • github_star, repo_fork, issue_opened
  • joined_discord, asked_question
  • viewed_docs, viewed_pricing
  • api_call, sdk_install, workspace_created

Step 2: Enrich and De-duplicate

Raw events are noisy. Add company context and resolve identities:

  1. Map emails and GitHub handles to a company domain
  2. Merge duplicate users across channels
  3. Attach firmographic data (size, industry, region)

Step 3: Score Intent, Not Activity

Use a simple scoring model to avoid false positives:

  • +5 for pricing or enterprise docs views
  • +3 for org-level adoption events
  • +2 for repeated technical questions
  • -3 for student domains or hobby projects

Keep it simple, review weekly, and tune with real outcomes.

Weekly Motion

A lightweight weekly cadence works better than daily spam:

  1. Review top 10 accounts by intent score
  2. Read their activity timeline and questions
  3. Send a technical-first outreach with real context

Where to Go Next

If you want the support foundation that makes these signals clear, read the AI Support Playbook.

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