Outbound Prospecting & Signal Engine
An automated account intelligence system that discovers and enriches target accounts, evaluates ICP fit and buying signals, identifies the buying committee, scores personas and automatically prioritizes accounts for outbound.
The Business Problem
Outbound teams often spend significant time manually researching accounts before they can determine whether an account is worth pursuing.
Account lists alone don't answer the most important GTM questions:
- •Is this company actually a good ICP fit?
- •Is there evidence that the account may be entering a buying window?
- •Who is the most relevant person to contact?
- •Which accounts deserve immediate attention?
- •What outbound motion should the account enter?
Without a consistent system, prioritization becomes dependent on manual research and individual rep judgment.
"Which accounts should sales pursue right now, who should they contact, and why?"
The Solution
I built an automated outbound prospecting and signal engine that transforms raw target accounts into enriched, scored and prioritized sales opportunities.
The workflow uses account intelligence, buying signals and persona data to calculate a unified Account Priority Score before automatically routing the account into the appropriate outbound motion.
- • Company size
- • Industry
- • Geography
- • Recent funding
- • Headcount growth
- • Funding stage
- • Revenue leadership
- • RevOps
- • Sales leadership
- • Adjacent GTM stakeholders
System Architecture
The production n8n workflow. Click to enlarge.
Account Enrichment
Each target account is enriched through Apollo before entering the scoring system. Firmographic, organizational and growth data is normalized into a consistent structure for downstream GTM logic.
Multi-Layer Account Scoring
Account Priority · fictional demo data
Finding the Right Buyer
Account qualification alone isn't enough. The workflow searches each organization for relevant buying committee members and scores potential contacts based on their role and seniority.
From Intelligence to Action
Highest-priority accounts.
High-touch research, personalization and outbound activation.
Strong target accounts.
Targeted outbound sequences and account-specific personalization.
Lower-priority or incomplete accounts.
Lower-touch nurture or future signal monitoring.
Revenue Team Output
- Account
- Northstar AI
- Priority
- 74 / 100
- Tier
- B · Target
- ICP Fit
- 40 / 40
- Buying Signals
- 12 / 35
- Persona Fit
- 22 / 25
- Best Contact
- Demo Contact · Head of Sales
- Next Action
- Targeted outbound
Strong ICP fit + relevant buying signals + senior target buyer identified
What This Automates
- Account list
- → Manual company research
- → Manual ICP qualification
- → Manual signal research
- → LinkedIn prospecting
- → Persona selection
- → Manual prioritization
- → Outreach
- Target Account
- → Automated enrichment
- → ICP scoring
- → Buying signal scoring
- → Buying committee discovery
- → Persona ranking
- → Priority score
- → Tier routing
- → Outbound activation
The sales rep receives a prioritized account and recommended buyer instead of starting with a company name and an empty browser tab.
Technical Skills Demonstrated
Built With
All examples on this page use fictional demo data. Credentials, tokens and private identifiers are never shown.