SegmentStream layers cross-channel attribution and budget optimization on top of Snowplow — reading raw enriched event data loaded by Snowplow's warehouse loaders into your data warehouse.
Snowplow collects, enriches, and loads behavioral event data into your own data warehouse. Once Snowplow is loading data, point SegmentStream at the same warehouse and SegmentStream reads the events from there.
Snowplow supports BigQuery, Snowflake, Redshift, Databricks, and the open lake formats Delta Lake and Apache Iceberg. SegmentStream connects to whichever one you use.
Snowplow's job is to collect and land high-quality, enriched behavioral data in your warehouse. SegmentStream then builds identity graph, cross-channel attribution, and budget optimization on top of those events. Snowplow's schema is read natively — no separate event mapping or transformation is required.
Snowplow loads data forward from when the pipeline starts running, and any enrichment changes can be re-applied. Historical replay of raw collector data depends on how your pipeline retains it — see Snowplow's loading-process documentation for retention and replay options.
Analytics platforms
Google Analytics 4
Ingest events, conversions, and audiences from your primary analytics.
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Adobe Analytics
Connect enterprise Adobe event streams to attribution.
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Heap by Contentsquare
Import auto-captured events and funnels for measurement.
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Amplitude
Bring product-analytics events into cross-channel measurement.
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Mixpanel
Enrich Mixpanel event data with paid-media attribution.
Analytics platforms
PostHog
Open-source product analytics, attribution-ready.
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.