agentleFS
Frontal-soFrontal-so/outbound-skills/skills/buying-signals-6/SKILL.md

buying-signals-6

Skill8 starsChanged 4 months agoMITView on GitHub

6 buying signals ranked by purchase correlation - Former Customers, New Leadership, High-Intent Website, Tech Stack Change, Expansion, and Hiring/Downsizing. Use when prioritizing outreach, building signal-based campaigns, or setting up intent tracking.

2 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

The file

Files
SKILL.md

6 Buying Signals (Ranked by Purchase Correlation)

1. Former Customers & Alumni Users (Highest Correlation)

Why it works:

  • Trust already established + known playbook
  • Faster proof of value

Query: Previous users of your product at new companies

Outreach timing: Immediately upon detection


2. New Leadership ≤90 days

Why it works:

  • Mandate for early wins
  • Vendor amnesty period
  • Budget air cover for new initiatives

Query: LinkedIn job changes, press releases

Outreach timing: Days 14-45 (peak engagement window)


3. High-Intent Website & Content

Why it works:

  • BOFU pages: pricing, competitor comparisons, demo, integrations
  • Shows active evaluation

Query: Website visitor tracking, content downloads

Outreach timing: Within 24-48 hours (highest intent signal)

Reply rate: 25-30% (they know you)


4. Tech Stack Change

Why it works:

  • Active change project indicates openness
  • Fresh pain from transition
  • New gaps in workflow

Query: BuiltWith, job postings mentioning new tools

Outreach timing: 1-2 weeks after detection


5. Expansion (Raise, New Region/Product)

Why it works:

  • Board targets create urgency
  • Scale pain emerges
  • Standardization moment

Query: Crunchbase, press releases, job postings

Outreach timing: 2-4 weeks after announcement


6. Hiring or Downsizing

Why it works:

  • Hiring = ramp pressure, need efficiency
  • Downsizing = do-more-with-less mandate

Query: LinkedIn company growth, layoff news

Outreach timing: 1-2 weeks after pattern detected


Signal Performance Benchmarks

Outreach TypeReply Rate
Cold outreach6-8%
Signal-based18-22%
Multi-signal stacked35-40%

Key insight: Signal-based outreach = 3-4x higher contract values


Combines with

SkillWhy
clay-buying-signals-5Implement signals in Clay workflows
gtm-plays-11Match signals to specific GTM plays
cold-email-4-sequenceBuild sequences around each signal
bridgebound-in-market-20Deep-dive on in-market triggers

Example prompts

Which buying signal should I prioritize for a $50K ACV enterprise deal?
Create an outreach strategy combining job change + funding signals for fintech companies.
How do I detect tech stack changes for companies using Salesforce?

Part of Frontal — free, open GTM skills for your AI agent. Browse the library →

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.