Training-serving skew doesn't throw an error. The model gets worse.
Training counts "sessions in the last 7 days" by UTC day; production counts a rolling 7 days in local time. Two numbers, one customer.
Signals uses one attribute definition for both.
Add Signals to a web app with one prompt.
Install the Snowplow plugin in your coding agent and describe the outcome: "show a different banner to visitors who've viewed pricing twice this session." It proposes a plan and waits for your OK.
Create a single customer view, in real-time that is, flexible and simple, to drive better digital and agentic experiences.
Read more about real-time identity resolution in Signals: signals.snowplow.io/blog/identity-…
One person, three identifiers: an anonymous cookie, a login, a phone. Until now that meant three Signals profiles.
New in Signals: with Identities, attributes are calculated per person, and your app reads them by the cookie or user ID it already has.
