The Managed PLG Engine for Your Data Warehouse

GrowthCues is the Managed PLG Engine for your modern data stack. We provide a high-performance, managed compute layer that sits securely on top of your data warehouse. It allows GTM Engineers to define No-Code Milestones, model Multi-Step Customer Journeys, and generate actionable momentum signals, all without maintaining brittle SQL scripts. We are not a dashboard; we are the external engine that offloads heavy time-series math and enriches your warehouse with activation-ready intelligence.

GrowthCues operates securely on top of your modern data stack in three steps:

1. Connect: You grant us secure, read-only access to your raw events (collected by Segment or Rudderstack) in Snowflake or BigQuery. We maintain a secure, rolling 60-day buffer using lightweight, incremental reads after the initial sync.
2. Process: Instead of writing complex SQL window functions, you use our visual builder to define account milestones and stateful journeys. Our external engine processes this logic in a fraction of the time it takes native SQL, calculating rolling 7/14/30-day trends and previous-month baselines.
3. Upsert: We write these calculated signals directly back into a clean, dedicated schema in your warehouse. This activation-ready data is now perfectly prepared for Reverse ETL tools (Hightouch, Census, Rudderstack) to map to your downstream GTM tools.

GrowthCues is built for the technical owners of revenue data:

• The GTM Engineer / Analytics Engineer: Stop debugging 500-line SQL queries. Use a resilient framework to engineer scalable, automated growth systems without fighting race conditions.
• The Head of Data: We respect your governance and your budget. We process the heavy math externally to save your Snowflake/BigQuery compute credits, and we never create isolated data silos.
• The Head of RevOps / GTM: Move from reactive reporting to proactive automation. Get deterministic, transparent signals to trigger plays the exact day an account hits an activation milestone.

We calculate the clean signals; your Reverse ETL tool moves them. GrowthCues outputs "Activation-Ready" tables that are perfectly structured for syncing. You can use any Reverse ETL tool, including Hightouch, Census, or Rudderstack, to map our columns (like journey_is_completed or account_momentum) directly to fields in your CRM or marketing automation platforms.

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

• No Dashboard Trap: We don't trap data in a UI. We write it back to your warehouse so it can actually be used by any tool in your stack.
• True B2B Context: Most analytics tools track individual users. We track Accounts, handling complex aggregations like "Account Momentum" or "Top 25% Usage Quartiles" out of the box.
• Actionable Signals vs. Raw Charts: We don't show graphs; we translate complex behavioral math into clear, robust signals and categorical traits (e.g., "Accelerating" or "Declining") that you can actually use to trigger automation.

Yes. This is a core part of our philosophy. When GrowthCues generates tables in your warehouse, we also generate a portable schema.yml file (AI-Ready Context). This file contains rich, prompt-optimized descriptions of every metric and column you have selected (including metrics about your milestones and journeys). You can feed this file directly to an internal LLM as context, effectively teaching it your specific business logic so it can answer natural language queries accurately without hallucinating.

No, you don't need dbt. We generate the data directly in your warehouse (Snowflake/BigQuery). However, if you do use dbt, our output is 100% compatible. We provide the schema files that drop right into your existing project, making documentation and downstream modeling seamless.

Security and compliance are foundational to our architecture. We are warehouse-native in our output, meaning we do not create a new, disconnected data silo.

• Incremental Processing Buffer: To eliminate massive full-table scans and save on your warehouse egress costs, we maintain a secure 60-day rolling buffer of event data. This allows us to perform lightweight, incremental processing while still calculating accurate Current vs. Previous Month baselines.
• Data Residency: You choose whether this processing and buffering occurs in our EU or US environments to meet your exact compliance needs.
• Secure Access: We require only read access to your raw events and write access to a single, dedicated schema you control, strictly following the principle of least privilege.

To use GrowthCues, your stack must include:

1. Event Collection: A tool to collect product event data (we support Segment and Rudderstack schemas out of the box).
2. Data Warehouse: A supported cloud data warehouse (Snowflake or Google BigQuery).

• ✅ Eliminate Brittle SQL: Free your engineers from maintaining complex, one-off SQL scripts for every new metric. Define logic once and let our engine handle the time-series math.
• ✅ Slash Warehouse Compute Costs: Stop running expensive window functions natively in your warehouse. We offload the heaviest data processing to our highly optimized PLG Engine.
• ✅ Accelerate GTM Velocity: By upserting activation-ready signals directly to your warehouse, you dramatically reduce the time it takes to go from a data request to a live GTM playbook.
• ✅ Trust the Math: No black-box AI predictions. We provide transparent, deterministic trends and baselines so your sales team actually trusts the signals they receive.
• ✅ Make Your Data AI-Ready: Automatically generate rich, prompt-optimized schema.yml context files with every run, empowering your internal LLMs and agents to query your warehouse without hallucinating.

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 ensures your costs scale with your actual B2B customer base, not your raw event volume.

Every new signup starts with a 7-day free trial of the Pro plan, but the clock doesn't start ticking until you successfully connect your data warehouse. Take your time getting your credentials ready; you won't lose a single minute of your trial during setup.

After 7 days, you can choose to stay on the Pro plan to keep orchestrating Multi-Step Journeys and intra-day syncs, or select the Starter plan to maintain daily No-Code Milestone tracking. If no plan is selected, your automated warehouse syncs will simply pause until you subscribe.