SegmentStream

SegmentStream is a marketing measurement engine designed to find where media spend stops working through cross-channel attribution, incrementality testing, marginal analytics, and automated budget allocation. The platform helps marketing teams move beyond basic last-click models by offering advanced attribution capabilities that account for long and complex customer journeys. Key features include an identity graph for stitching user interactions across sessions, devices, browsers, and CRM data using both deterministic and probabilistic matching.

Predictive attribution allows teams to measure recent campaigns on projected conversions rather than just historical data, while self-reported re-attribution helps close gaps by asking users how they discovered the brand. Furthermore, CRM funnel attribution connects offline conversions to digital touchpoints to evaluate revenue generation rather than just lead counts. The platform also features marginal analytics to show the performance of each additional dollar invested, scenario planning to find optimal budget distribution, and automated execution of budget adjustments across major ad networks.

Agencies can utilise the tool to manage multiple client projects in parallel, supported by Model Context Protocol tools that connect AI agents like Claude, Cursor, ChatGPT, and Gemini directly to marketing data and analytics. Data sources include ad platforms such as Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, X Ads, Pinterest, and Snapchat, alongside external data sources like GA4, BigQuery, HubSpot, Salesforce, and Heap.