Attribution

Attribution is a multi-touch marketing attribution software platform built for B2B, SaaS and ecommerce teams. It matches ad spend and revenue data directly to individual user journeys to provide precise metrics that reconcile with actual bank accounts. Unlike platform-reported estimates that often double-count conversions across channels, Attribution tracks user-level cost data to produce reliable per-user CAC, ROAS, CAC Payback and LTV to CAC metrics.

The platform features five multi-touch attribution models including first touch, last touch, linear, time decay and position-based, each configurable with four distinct traffic modes such as cutoff events tailored for product-led growth and trial-based businesses. A native Model Context Protocol server connects the platform to Claude, ChatGPT, Cursor and other AI assistants, enabling users to query attribution data, compare models and receive budget reallocation recommendations through natural language. Every number generated by the system is fully auditable, allowing marketers to drill down into the underlying users, clicks and revenue events.

Attribution includes bidirectional integrations with major CRM systems for lifecycle and closed-won revenue tracking, customer data platforms and analytics tools for unified user profiles, and specific connectors for ecommerce platforms like Shopify. It also pulls cost data directly from major ad platform APIs and connects to payment and subscription platforms for real revenue figures. Data teams can export full-fidelity, raw visit-level and user-level data through a built-in ETL service to destinations including Amazon S3, Google Cloud Storage, Azure Blob Storage, Amazon Redshift, Google BigQuery and Snowflake.