Agentic Commerce Analytics and Attribution
Measure agent referrals and checkout behavior without inventing traffic, revenue or conversion claims.
Why it matters
Agentic commerce analytics begins with observable events and referrers rather than assumed AI influence. Capture source, event name, timestamp, entity identifiers and outcome fields consistently.
How it works
UTM parameters can help separate controlled campaign traffic, while server logs and analytics events can reveal referral patterns. Attribution models should clearly state their window and matching rules.
Practical takeaway
When there is no data, report no data. Do not manufacture conversion rates, AI traffic or revenue simply because the dashboard expects a number.
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