GrowthCues 2.0 – Headless semantic layer for product-led GTM data

Summary: GrowthCues 2.0 transforms raw Rudderstack event data into predictive signals like product-qualified accounts and churn risk within your data warehouse, eliminating the need for SQL. It acts as a logic layer between event data and GTM tools, enabling automated, data-driven growth operations.

What it does

GrowthCues ingests raw event data from Rudderstack, lets users define key metrics such as Activation and PQLs via a no-code editor, and generates AI-powered health scores that are written back to the warehouse. These clean signals can then be activated through Rudderstack ETL to power GTM automations.

Who it's for

It is designed for GTM engineers, RevOps leaders, and CROs seeking to replace complex SQL scripts and manual data exports with automated, predictive data infrastructure for product-led growth.

Why it matters

GrowthCues addresses the need for robust, actionable signals from product usage data to enable efficient, automated GTM processes without creating additional data silos or relying on reactive manual efforts.