Better demand intelligence requires multiple perspectives.
Discuss legitimate commercial-intent, property, consumer, business, geographic, market, identity, advertising, or public-data inputs.
Evaluate provenance and permitted use
Provide a clear source category, collection or licensing basis, restrictions, available audience unit, and permitted purposes. A large dataset without a defensible use path is not sufficient.
Review quality and usefulness
Discuss recency, coverage, completeness, transparency, security, suppression, and activation utility. Quantified claims should have definitions, a measurement period, and supporting evidence.
Scope before transfer
Describe the schema and coverage first. Do not submit a dataset, confidential records, or credentials through the inquiry form. Any evaluation, secure transfer, or commercial relationship requires agreement.
Continue exploring
Demand intelligence requires more than one view of the market.
DemandVerified is designed to organize useful intelligence around a commercial question rather than present one database as a complete view of demand.
Explore Data Sourcing →Responsible Signal UseCommercial intelligence should be useful and responsible.
A relevance hypothesis is only useful when the purpose, data, and intended activation are appropriate.
Explore Responsible Signal Use →SecurityUnderstand the safeguards and the scope.
This page describes verified controls in the DemandVerified website and the questions to resolve before exchanging customer data for a program.
Explore Security →Your market. An informed next move.
Define your offer, geography, available data, and intended channels. We’ll scope the intelligence and activation options for your program.
Discuss Data Partnership ↗Signals indicate potential commercial relevance—not certainty that an individual will purchase. Coverage, permitted destinations, and refresh availability vary by program.