The Intent Revenue Engine
Catches buyers when they're actively searching, not when you happen to call
How It Works
The Intent Revenue Engine aggregates intent signals from multiple sources: job postings that indicate a pain point, visits to review sites for tools you compete with, technology stack changes, and keyword activity on social platforms. An AI scoring model combines these signals into an intent score. High-scoring accounts get routed to a sales priority queue with full context. Human reps review and act. No cold calling required.
Step-by-Step Flow
Connect intent data sources (G2, Bombora, LinkedIn, job boards)
Define intent signal weights based on your sales experience
AI model scores incoming accounts nightly
High-intent accounts surface in a prioritized review queue
Rep sees full context: which signals fired, why they matter, suggested angle
Rep approves outreach. AI tracks outcomes and improves scoring over time.
Best For
- B2B companies selling to other businesses with defined buying stages
- Sales teams who want to replace cold outbound with signal-based selling
- Companies already using tools like HubSpot, Salesforce, or Apollo
This is customized for your business.
Every node, tool, and logic path shown here gets adapted to your team structure, your CRM, and your existing workflows. What you see is the proven pattern. What we build together is built specifically for you.
Implementation Notes
Integrates with intent data providers including G2 Buyer Intent, Bombora, 6sense, and LinkedIn Sales Insights. Job posting signals are pulled via scraping or the LinkedIn Job Search API: specific job titles indicate buying intent, for example hiring a Director of Operations often signals a scaling pain point. Technology change signals come from Builtwith or Datanyze webhook alerts when a company adds or removes tools you compete with or complement. The intent scoring model runs nightly, pulling all signals from the prior seven days and applying configurable weights to each type. Score thresholds are typically set at 60 out of 100 for a soft alert and 80 out of 100 for priority routing. When an account crosses the threshold, it surfaces in a prioritized CRM view or Slack digest with a plain-language summary: which signals fired, what they suggest about buying stage, and a recommended first message angle. Works with HubSpot, Salesforce, and Apollo out of the box. Prerequisites: access to at least one intent data provider and a CRM with contact-level tracking.