SegmentStream

SegmentStream provides an AI‑native infrastructure that equips marketing‑focused agents with a measurement engine capable of real‑time attribution, incrementality testing, and budget allocation across multiple channels. By connecting to ad platforms, analytics services, CRMs, and data warehouses, it aggregates performance metrics and offers analyst‑grade answers through conversational interfaces such as Claude, Cursor, or any MCP client. The system delivers cross‑channel attribution, root‑cause analysis, and automated optimization recommendations, allowing teams to diagnose spend efficiency and adjust campaigns without manual data wrangling.

The platform is designed for marketing teams that employ generative AI tools and need a unified view of campaign effectiveness. It supports a wide range of integrations—including Google Ads, Meta Ads, TikTok, GA4, BigQuery, HubSpot, and Salesforce—enabling a single configuration line to feed data into the measurement engine. Users interact with the engine via a web dashboard or AI workspace, receiving reports on ROAS, CPA, lead scoring, LTV, and other key indicators.

SegmentStream’s distinctive aspect is its focus on embedding measurement expertise directly into AI agents, turning raw marketing data into actionable insights through natural language queries. The experimental service aims to streamline analysis, debugging, and optimization by leveraging a production‑grade measurement core that can be extended with custom analytics built on the same infrastructure.