SegmentStream
Warehouse-native marketing measurement and server-side conversion delivery for cross-channel attribution.
What it does
SegmentStream is a warehouse-native marketing measurement and attribution platform used by analytics and media teams to centralize conversion data, run multi-touch and ML attribution, test incrementality, and forward conversions to ad platforms. Warehouse-native measurement Runs identity resolution, attribution and lifetime value logic against data in your own warehouse (BigQuery, Snowflake, Databricks) and writes results back as tables you control. Teams use these tables to integrate attribution outputs into existing BI reports and downstream pipelines rather than relying solely on vendor dashboards. Server-side conversion forwarding Collects first-party events server-side and forwards qualifying conversions to major ad platforms via their APIs (for example Meta Conversions API, Google Enhanced Conversions, TikTok Events API, Pinterest, Snapchat, LinkedIn). This centralizes conversion delivery and can include hashed CRM identifiers to improve matching. Multi-touch and ML visit-scoring Supports configurable fractional multi-touch models and ML-based visit-scoring that predicts how immature cohorts will mature over time. Marketers use visit-scoring to assign fractional credit across touchpoints and to generate richer value signals for reporting or automated allocation processes. Incrementality testing and marginal analytics Provides support for incrementality experiments such as geo holdouts and outputs marginal-return analytics to measure causal lift. Media teams run these experiments to quantify incremental impact and to inform spend reallocation decisions based on measured returns.



