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Structure agency guarantees around controlled delivery, quality evidence, client dependencies, and bounded remedies, not meetings, pipeline, revenue, or sales outcomes.
Publish the meaning, inputs, identity logic, validation, governance, and limits of an intent score while keeping confidential implementation details private.
Evaluate intent and lead-data vendors with a controlled sample, activation test, governance evidence, cost model, exit plan, and five-company agency shortlist.
Benchmark an intent-data service with transparent internal baselines across signal quality, activation, adoption, outcomes, delivery effort, margin, and trust.
Run intent-data QBRs as evidence-led decision reviews using a seven-part agenda, governed metric definitions, client actions, economics, and clear outcome limits.
A practical framework for agency discovery questions that test buying intent, protect trust, document qualification, and turn evidence into a responsible next decision.
A defensible intent-data attribution framework that separates association, influence, and incrementality with an evidence ledger, reconciliation process, and monthly decision model.
A release-gate checklist for lead and intent-data quality assurance, with acceptance tests, sampling, exceptions, pricing inputs, client reporting, and agent-ready review instructions.
A copyable agency SOP for recurring intent-data delivery, with roles, decision gates, QA, exceptions, change control, handoffs, pricing inputs, and agent-ready instructions.
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