Not All Intent
Is Buying Intent.
We weight intent by reliability, recency decay, and fit—ensuring your budget targets accounts in an evaluation window, not broad research noise.
How We Calibrate Your Signals
Calibration Path: 3rd-Party Intent (G2 / Bombora)
We calibrate external intent surges by weighting them against historical conversion correlation—ensuring you don't burn budget on broad research spikes.
- 01 Map Intent Topic to Product Solution Cluster
- 02 Apply Recency Decay (Weighting decreases every 72 hours)
- 03 Correlate surge volume to historical SQL conversion
- 04 Write 'High Readiness' tags to CRM for Tier 1 clusters
Readiness Engine Output
Stop Chasing Noise
Broad intent triggers waste spend on accounts that will never convert. Decision-grade signals require recency and historical correlation.
A signal is decision-grade when it is source-reliable, ICP-fit, and correlated to stage movement.
AFTER: Calibrated Surge (Fit × Recency) → Stage-Gated activation
Precision Signal Alignment
Reliability Weighting Model
Score signal sources by historical conversion, not vendor claims.
View Protocol →Recency Decay + Cooldown
Decay stale signals and enforce cooldowns to prevent budget burn.
View Protocol →Fit × Signal Prioritization
Only unlock spend when fit and signal strength align.
View Protocol →Stage Inference Thresholds
Translate signals into stage tags that control sequencing.
View Protocol →