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Intent-driven prospecting that generates pipeline without the founder

Signal monitoring infrastructure, AI-powered research, and automated outreach sequences that reach prospects at the moment of structural need. Built to run independently after handoff.

Signal-to-pipeline flow
Signal detected 240 AI researched 180 Outreach sent 120 Replied 24 Meeting booked 12

Volume-based outbound doesn't work for impact organizations

Traditional outbound is a numbers game. Send enough emails, and some percentage will respond. The math is simple: 1-2% response rates, high unsubscribe rates, and a reputation cost that accumulates with every generic message sent.

For impact organizations, this approach fails for three reasons.

First, the market is smaller.

A climate tech company selling to enterprise sustainability teams isn't reaching into a database of millions. The total addressable market might be 500 companies. Burning through that list with generic outreach means burning through the entire market.

Second, the buying cycle is longer.

Enterprise sustainability decisions, government procurement, hospital system evaluations, foundation grant cycles. These processes take months or years. A cold email arriving at the wrong moment gets deleted and forgotten.

Third, the relationship matters more.

Impact buyers evaluate mission alignment, organizational values, and long-term partnership potential. Generic sequences signal the opposite of what these buyers want to see.

Reach prospects at the moment their need becomes acute

Intent-driven prospecting inverts the traditional model. Instead of reaching out to everyone on a list and hoping for relevance, we monitor signals that indicate an organization has structural need, then initiate outreach at the moment that need becomes acute.

Climate Tech Signals

  • New sustainability mandates announced
  • Corporate ESG reporting requirements
  • Funding rounds at target accounts
  • Executive hires in sustainability roles
  • Regulatory changes affecting emissions

GovTech Signals

  • RFI publications on SAM.gov
  • Budget allocations in agency plans
  • Contract expirations approaching
  • GAO reports criticizing current systems
  • Modernization initiatives announced

Health Tech Signals

  • FDA clearances received
  • Hospital system expansion announcements
  • Digital health pilot completions
  • New CMS reimbursement codes
  • Value-based care transitions

Nonprofit Tech Signals

  • Foundation grant cycles opening
  • Federal funding changes affecting sector
  • Board composition shifts
  • New earned revenue programs launching
  • Strategic plan publications

When a signal fires, the system triggers:

01

AI-powered research on the account

02

Personalized outreach referencing the trigger

03

Multi-channel sequence across email and LinkedIn

04

Automated follow-up and response handling

Everything required for signal-based pipeline generation

Signal Taxonomy Development

Identifying which signals matter for your specific sector and ICP. Mapping signals that correlate with buying behavior, prioritizing by actionability.

Monitoring Infrastructure

Configuring Clay, LinkedIn Sales Navigator, Google Alerts, and custom scrapers to detect signals in real-time as opportunities emerge.

AI Research Workflows

Claude-powered account research that pulls context from news, SEC filings, LinkedIn activity, and company announcements.

TAM Mapping

Building named target account lists from closed-won analysis. Scoring accounts by fit signals. Enriching with contact data.

Multi-Channel Sequences

Email and LinkedIn sequences triggered by intent signals. Each sequence personalized to the signal that triggered it.

Email Infrastructure

Domain setup, warming protocols, deliverability monitoring, and reputation management built correctly from day one.

LinkedIn Automation

Connection requests, message sequences, and engagement workflows that operate within LinkedIn's guidelines.

Meeting Booking & Handoff

Calendar integration, qualification workflows, and handoff protocols with complete context for your sales team.

From signal taxonomy to independent operation

01

Discovery

ICP validation. Signal taxonomy development. Existing outreach audit. Tech stack assessment.

Week 1

02

Build

Monitoring setup. Email domain configuration. LinkedIn integration. CRM pipeline creation.

Weeks 2-4

03

Launch

First signals processed. First sequences activated. Response handling begins. Performance review.

Weeks 5-6

04

Handoff

Team training. Playbook documentation. Independence transition. Your team owns the system.

Weeks 7-8

Infrastructure you own and operate independently

  • 1.
    Signal taxonomy document

    Every signal mapped, prioritized, and documented with response playbooks

  • 2.
    Monitoring infrastructure

    Configured and active in Clay, LinkedIn Sales Nav, and custom sources

  • 3.
    AI research workflows

    Claude prompts and automation for account research at scale

  • 4.
    Target account list

    Named accounts, scored, segmented, and enriched with contacts

  • 5.
    Email infrastructure

    Domains configured, warmed, and monitored for deliverability

  • 6.
    Multi-channel sequences

    Email and LinkedIn sequences by signal type, loaded and ready

  • 7.
    Response playbooks

    Qualification criteria, objection handling, and handoff protocols

  • 8.
    Meeting booking automation

    Calendar integration with context transfer to sales team

  • 9.
    CRM integration

    Pipeline stages, lead routing, and reporting configured

  • 10.
    Team training

    Live sessions plus recorded training for future onboarding

  • 11.
    Operational playbooks

    Step-by-step documentation for ongoing operation

Signal infrastructure built for your market

4 Weeks

Signal Sprint

Signal taxonomy + monitoring setup + first sequences

$10-15K

6-8 Weeks

Full Build

Complete infrastructure through handoff

$18-25K

Ongoing

Revenue Partner

Monthly optimization, new signals, performance reporting

$3-5K/mo

Most organizations start with a Revenue Assessment ($5-7K) to diagnose current state and build the roadmap.

Pillar 03: Captivate

Sales/GTM executes Pillar 03 (Captivate) of The 100x Model. It builds on the revenue modeling from Pillar 01 (Model) and the ICP definition from Pillar 02 (Define).

The infrastructure integrates forward into Pillar 04 (Convert), where meetings booked flow into the CRM architecture built in RevOps. And the entire system is documented for handoff in Pillar 05 (Scale).

See The 100x Model™
01
Model
02
Define
03
Captivate
04
Convert
05
Scale

Start with a Revenue Assessment

Two weeks. A full diagnostic of your current outbound infrastructure, signal opportunities, and pipeline gaps. The assessment builds the roadmap for what to build and in what sequence.

30 minutes. No pitch. Just clarity.