Customer AI Fabric — Audience Analytics & Activation

Segments, derived traits, trend insights, and activation — governed by the same Snowflake tables across every app in the fabric

Audiences at a glance

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Recent activations

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Look up a customer

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AI audience builder

Describe an audience in plain English. Claude generates a single, read-only query against a fixed set of known tables — nothing runs unless it's a plain SELECT that passes validation.

Audience

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Activate audience to a destination

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Activation history

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Event trend

Chart how an event is trending over time, optionally broken down by a profile attribute or static segment. No free text here — every option comes from a fixed, code-controlled list, so this runs as plain parameterized SQL.

Create a derived trait

Describe a per-customer value in plain English (e.g. "total number of completed orders" or "date of the most recent order"). Claude generates a validated, read-only aggregation query, runs it once, and the result is saved back to CUSTOMER_TRAITS — no recomputation needed on future reads.

Saved traits

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