# Tutorial: user session analysis with dbt

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Having raw event data in your warehouse is wonderful, both because it’s comprehensive and because you have the flexibility to run any kind of analysis you can imagine.

One common use case among our customers is analyzing their users’ website and app usage to understand how they can build better customer experiences. Inevitably, the question of sessionization comes up: how do you collect a user’s behaviors into distinct sessions, especially with raw data?

We actually have the answer ready for you via a dbt model that gives you baseline sessionization for RudderStack event data (yes you can download it!).

Our customers love using this model because it makes sessionization both transparent and customizable (as opposed to being locked into session definitions from 3rd-party analytics tools.

Dig into this step-by-step guide that breaks down the dbt model and how you can use it to build your own sessionization analytics.

Want to talk more about sessionization? Let's chat! Reply to this email or Book a Free Demo

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