B2B Intent Data + AI: The Account Targeting Playbook
Stop chasing noise โ build a scoring model that finds ready-to-buy accounts before your competitors do
- How to classify and rank 1st-, 2nd-, and 3rd-party intent signals by actual predictive value
- A scoring model framework with variable weights, decay functions, and training data thresholds
- A 5-tier account prioritization system with specific activation plays for each tier
- The exact stack architecture connecting Bombora, Clay, HubSpot, and your own behavioral data
- A 6-week rollout timeline with measurable milestones at each phase
What's inside
A practical playbook built for B2B marketing and revenue ops leaders who are already purchasing intent data but struggling to translate signals into pipeline.
Why Intent Data Alone Fails: The Signal-to-Noise Problem
Why raw intent scores produce low conversion rates and how to reframe the problem correctly.
The Intent Signal Taxonomy: 1st-, 2nd-, and 3rd-Party Signals Ranked by Reliability
A ranked taxonomy of every signal type, from your own behavioral data down to third-party keyword surges.
Building the Scoring Model: Variables, Weights, and Training Data Requirements
How to design a scoring model that reflects actual buying behavior rather than vendor-provided scores.
The 5-Tier Account Prioritization Framework
A practical tier system that maps composite intent scores to specific SLA and activation plays.
Activation Playbook: Different Plays for Each Tier
The exact sequence structure, messaging approach, and channel mix for each intent tier.
Stack Architecture: Bombora + Clay + HubSpot + Your Own Data
How to connect the four core components into a unified intent data pipeline with minimal manual steps.
First-Party Signal Collection: The 12 On-Site and In-Product Signals Worth Capturing
The specific behavioral events you should be tracking on your own properties โ and how to capture them correctly.
Measuring Model Accuracy: Precision, Recall, and Business Impact
The metrics that tell you whether your intent model is actually working โ and how to calculate them.
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Stop chasing noise โ build a scoring model that finds ready-to-buy accounts before your competitors do
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