AtData

Is the identity data accurate, active, and safe to use?

Confirm whether an email address is deliverable, active, risky, toxic, or likely to damage downstream performance. Use validation at capture or across existing databases to prevent bad data from entering communications, analytics, fraud systems, and operational workflows.

Which records, identifiers, and interactions belong together?

Use email as a persistent anchor to connect fragmented customer records across systems, channels, devices, and moments in time. Improve recognition without relying entirely on transient identifiers or incomplete first-party records.

What can this identity reveal about the customer behind it?

Add demographic, household, activity, engagement, and behavioral context to first-party records. Give marketing, analytics, product, and data teams a more useful view of the customer without requiring another customer interaction to collect it.

Does this identity demonstrate credible history and behavior?

Evaluate identity longevity, recency, velocity, popularity, domain attributes, activity patterns, and other indicators of trust or manipulation. Introduce context earlier, when organizations still have the ability to approve, challenge, route, suppress, or investigate an interaction.