outbound-prospecting-engine

type	playbook
name	outbound-prospecting-engine
description	End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
graph	{"provides":["outbound-campaign","qualified-leads","meeting-pipeline"],"requires":["icp-criteria","signal-keywords","client-context"],"connects_to":["skills/playbooks/signal-detection-pipeline/SKILL.md","skills/capabilities/contact-cache/SKILL.md"]}
skills_used	["skills/capabilities/job-posting-intent","skills/capabilities/linkedin-post-research","skills/capabilities/linkedin-commenter-extractor","skills/composites/funding-signal-monitor","skills/capabilities/company-contact-finder","skills/capabilities/lead-qualification","skills/capabilities/contact-cache","skills/capabilities/setup-outreach-campaign","skills/capabilities/agentmail"]

Outbound Prospecting Engine

Build and run a complete outbound prospecting system: signal detection → company research → contact finding → personalization → campaign launch.

When to Use

• "Set up outbound prospecting for [client]"
• "Build a lead gen engine targeting [ICP]"
• "Find and reach out to companies that need [solution]"

Prerequisites

• Client context.md with ICP, value props, positioning
• Signal keywords (what to monitor for intent)
• Approved messaging / email sequences (or generate them)

Steps

1. Define Signal Sources

Based on the client's ICP and motion, select which signals to monitor:

Signal Source	Best For	Skill
Job postings	Companies with allocated budget	job-posting-intent
Funding announcements	Companies with fresh capital	funding-signal-monitor
LinkedIn posts/comments	Practitioners discussing the problem	linkedin-post-research + linkedin-commenter-extractor
Conference attendees	People actively engaged with the space	luma-event-attendees
Competitor customers	Companies already buying similar solutions	eightfold-customer-finder

2. Run Signal Detection

Execute selected signal skills with client-specific keywords. Run in parallel.

Output: Raw signal list — companies + signal context.

3. Qualify & Score

Skill: lead-qualification

Filter against ICP criteria. Score each lead:

• Multi-signal leads = highest priority
• Job posting + funding = strongest intent
• Single social mention = lowest (awareness only)

4. Find Decision-Maker Contacts

Skill: company-contact-finder

For top qualified companies, find the specific decision-makers:

• Target titles from client's ICP
• Get email addresses and LinkedIn URLs

5. Deduplicate

Skill: contact-cache

Check all leads against the contact cache. Add new leads to cache. Skip any that have been contacted before.

6. Personalize Outreach

For each lead, generate personalized email sequence using:

• The signal that surfaced them (the "why now")
• Their company context (what they do, their pain)
• The client's value proposition (how it solves their pain)

7. Launch Campaign

Skill: setup-outreach-campaign

Set up a Smartlead campaign:

• Create campaign with name and schedule
• Upload lead list
• Configure 2-3 email sequence (personalized per lead or per segment)
• Allocate mailboxes
• Set sending schedule

8. Monitor & Iterate

• Track open rates, reply rates, meeting bookings
• A/B test subject lines and messaging
• Re-run signal detection weekly to add new leads
• Update contact cache with outcomes

Ongoing Cadence

• Weekly: Re-run signal detection, qualify new leads, add to campaign
• Bi-weekly: Review campaign metrics, adjust messaging
• Monthly: Review overall pipeline contribution, adjust signal sources

Human Checkpoints

• After Step 3: Review qualified lead list before finding contacts
• After Step 6: Review personalized email copy before launching campaign
• After Step 8: Review campaign performance metrics