The Headless Semantic Layer forProduct-Led GTM

GrowthCues is a headless, warehouse-native semantic layer for Product-Led GTM. We provide the missing infrastructure that allows GTM Engineers to define B2B metrics, model customer journeys, and generate predictive signals—all without maintaining brittle SQL scripts. We are not a dashboard; we are the engine that enriches your data warehouse with activation-ready intelligence.

GrowthCues operates directly within your modern data stack in three steps:

1. Connect: You grant us secure read/write access to your warehouse (Snowflake, BigQuery, Redshift, Databricks, or Postgres). We read the raw event data collected by Rudderstack.
2. Model & Predict: Instead of writing complex SQL aggregations, you use our no-code semantic layer to define account milestones (like "Activation" or "PQL"). Our engine uses these definitions to calculate B2B metrics and generate AI-powered predictive scores for retention and conversion.
3. Enrich: We upsert these signals into a clean, dedicated schema in your warehouse. This ensures your GTM data remains fresh and queryable without generating countless new tables. This activation-ready data is now perfectly prepared for Rudderstack Reverse ETL to power your downstream GTM tools.

GrowthCues is built for the technical owners of revenue data:

• The GTM Engineer: Stop debugging 500-line SQL queries. Use a resilient framework to engineer scalable, automated growth systems.
• The Head of Data: We respect your governance. We operate natively on your warehouse, ensuring a single source of truth without creating new data silos.
• The Head of GTM / CRO: Move from reactive reporting to proactive automation. Get the predictive signals you need to trigger plays before a customer churns.

Conventional tools are "systems of insight"—dashboards that tell you what happened. GrowthCues is a "system of intelligence" that sits upstream of your activation tools.

• No Dashboard: We don't trap data in a UI. We write it back to your warehouse so it can be used by any tool (Salesforce, HubSpot, etc.).
• True B2B Context: Most analytics tools track users. We track Accounts, handling complex aggregations like "Account Stickiness" or "Team Activation" out of the box.
• Predictive vs. Descriptive: We don't just show charts; we generate forward-looking scores (e.g., "High Churn Risk") that trigger automation.

Security is foundational to our architecture. We are 100% warehouse-native in our output, meaning we do not create a new data silo for analytics.

• Incremental Processing Buffer: To minimize compute costs on your warehouse, we maintain a secure 60-day rolling buffer of event data. This allows us to perform incremental loading (processing only new events) rather than expensive full-table scans every time we sync.
• Data Residency: You choose whether this processing and buffering occurs in our EU or US environments to meet your compliance needs.
• Secure Access: We require only read access to your raw events and write access to a single, dedicated schema you control, following the principle of least privilege.

To use GrowthCues, your stack must include:

1. Rudderstack as your CDP for collecting product event data.
2. A supported cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks, or Postgres).

• ✅ Eliminate Brittle SQL: Free your engineers from maintaining complex, one-off SQL scripts for every new metric. Define logic once in our semantic layer and let the engine handle the maintenance.
• ✅ Move from Reactive to Proactive: Stop relying on backward-looking dashboards. Power your GTM motion with forward-looking predictive scores that tell your team which accounts to focus on today.
• ✅ Accelerate GTM Velocity: By upserting activation-ready signals directly to your warehouse, you dramatically reduce the time it takes to go from a data insight to a live GTM playbook in Rudderstack.
• ✅ Enforce a Single Source of Truth: Because we are warehouse-native, all your GTM intelligence lives alongside your raw data. This ensures consistency and governance across Sales, Marketing, and Product.

Monthly Tracked Accounts (MTAs) are our core pricing metric. We count the number of unique accounts that have had at least one active user within a rolling 30-day period.

• Note: We only count accounts, not users. If Account A has 50 users but only 1 was active, it counts as 1 MTA. This aligns our pricing with your B2B business model.

Every new signup starts with a 7-day free trial of the Pro plan. This allows you to model journeys, generate AI predictive scores, and test the hourly sync frequency.

After 7 days, if you don't upgrade, your account automatically switches to the Free plan. You lose the predictive AI and hourly syncs, but you keep the core B2B SaaS metrics and journey modeling features forever.