SegmentStream layers cross-channel attribution and budget optimization on top of Mixpanel — reading raw event data exported by Mixpanel Data Pipelines into your data warehouse, not the Mixpanel reporting interface.
Mixpanel Data Pipelines export raw event data, user profiles, and identity mappings into your own data warehouse on a continuous schedule. Once that export is configured, point SegmentStream at the same warehouse and SegmentStream reads the events from there.
Mixpanel Data Pipelines support BigQuery, Snowflake, Databricks, Redshift Spectrum, AWS S3, GCS, and Azure Blob Storage. SegmentStream connects to whichever one you use.
SegmentStream does notuse Mixpanel's query / reporting API. That API exposes only processed data with Mixpanel's own session and identity model. SegmentStream consumes the raw exported events and builds attribution using its own identity graph and algorithms.
On initial connection, Mixpanel can export historical events into the warehouse alongside the ongoing pipeline. SegmentStream becomes able to use that history as soon as the warehouse is reachable. Data Pipelines is an Enterprise / Growth add-on; see Mixpanel's Data Pipelines documentation for retention and access details.
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Not a problem. If your platform has an API, we can build a new connector quickly — connectors ship fast based on demand. And if there's no API, there's always a path: ad platforms can export their data into a Google Sheet and we import it from there; CRMs can export to a data warehouse and we pull it from there, or send data over webhooks.