Describe the signal precisely
Start by asking what was observed, at what level, over which period, and with what coverage. An account-level pattern, a content interaction, and a modeled audience segment are not interchangeable. A label such as intent does not establish what an individual searched for or whether they plan to buy.
Treat recency as context
A recent signal may be relevant to timing, but recency alone does not establish relevance or quality. Compare the signal with the product, market, buying process, and the evidence available. Keep the observation separate from the conclusion you would like to draw.
Check whether the intended use is supported
Research and activation are separate decisions. Before an export or campaign is proposed, the team needs to validate the source rights, required permissions, platform eligibility, and integration. A demonstration of a workflow does not establish that it is available for your organization.
Build a testable hypothesis
Define the audience, intended action, baseline, and outcome before spending. A useful test might compare qualified inquiry rates between eligible audience strategies while keeping the offer and measurement approach consistent. The purpose is to learn whether the signal helps the business, not simply whether a list can be delivered.
Follow the outcome beyond the click
Evaluate lead quality, qualification, meetings, opportunities, and revenue where those outcomes can be connected reliably. Keep unsupported attribution and incomplete data visible. A signal earns a role in the acquisition strategy through observed usefulness, not a claim of certainty.