Intent-Based Marketing: Turn Signals into Relevant Audiences
A five-gate workflow for turning intent signals into ad-ready audiences: fit conditions, signal windows, exclusions, owner review and platform eligibility.
Articles on where go-to-market data is going, playbooks you can run today, and reports on what the data says - written by the team building the agents that source, enrich, verify and deliver it.
Explore 64 guides to AI agents, prospecting, business data and reliable delivery, with examples and sources.
A five-gate workflow for turning intent signals into ad-ready audiences: fit conditions, signal windows, exclusions, owner review and platform eligibility.
Twelve questions to ask intent data providers before a pilot, plus a blind holdout design that tests the signal itself and keeps small-sample lift honest.
The two public signals that name a company’s stack and its next initiative, how to read each, the matrix that combines them into a ranked list, and the weekly machine that turns the list into verified people with an evidence-first opener.
A triage system for B2B buying signals: separate observed facts from hypotheses, screen for fit first, set expiry windows, and log kill conditions.
How to treat B2B intent data as evidence: separate fit from activity, record resolution confidence and signal age, and set explicit thresholds before acting.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.