Choose your path
Choose the path that fits your business. You will start with a tailored topic report.
Reduce false positives in B2B intent signals with fit, identity, freshness, corroboration, suppression, and outcome feedback.
Use search-derived intent as an account-research trigger, then validate fit, identity, recency, contact roles, and downstream outcomes.
Standardize intent-data delivery around shared definitions, release gates, exceptions, and unit economics without flattening client strategy.
Manage intent data across agency clients with isolated workspaces, shared controls, client-specific rules, and portfolio-level unit economics.
Build intent-data service QA around signal, identity, activation, deliverable, and outcome gates with explicit release evidence.
Upsell intent-data modules only when adoption, an observable constraint, incremental value, and delivery margin support expansion.
Package buyer-intent evidence with verified prospecting, human-approved outreach, clear ownership, and accepted-pipeline measurement.
Control broad match with qualified conversions, query guardrails, intent evidence, and a feedback loop tied to B2B pipeline.
Use eligible buyer-intent evidence as a Performance Max hypothesis without mistaking audience signals for hard targeting.
Diagnose creative fatigue in small B2B audiences and refresh concepts using frequency, freshness, and qualified outcomes.
Design a defensible incrementality test for intent-based ads with a clear counterfactual, power plan, and causal limits.
Build B2B prospect lists by separating account intent, fit, identity, freshness, validation, and human-approved outreach.
