Polar Analytics

Polar Analytics is a data platform for ecommerce brands and agencies. It helps connect Shopify, ads, email, marketplace and other data sources into a single Snowflake warehouse, where definitions and business logic are governed so teams can query consistently. It enables AI-driven insights and automated actions across marketing, operations and finance without relying on a separate analytics team. The tool aims to give trusted data to multiple users across the organization.

Polar Analytics operates by providing a semantic layer and a set of AI agents that read from the governed data, allowing users to ask questions in natural language and receive traceable results. Data sources are brought together through connectors, and models and rules are defined to ensure that metrics align with how the business runs. Users can connect to BI tools and export data, with security and ownership retained by the user’s own Snowflake instance.

Polar Analytics offers a central data platform with an integrated AI layer. It supports attribution and ROAS calculations, provides a library of 400+ harmonized metrics and dimensions, and enables timeline-aligned, audited answers that trace back to specific definitions and queries.

Polar Analytics describes its plans, platforms and integrations as involving a Snowflake data warehouse owned by the user, a governed semantic layer, and connectors to a wide range of tools and platforms. It emphasizes that data stays in the user’s own warehouse, with AWS-hosted Snowflake by default and regional hosting on request, and notes available support and a dedicated success manager on higher plans.

Use cases

• Marketing: track revenue and ROAS, investigate performance drivers, and approve budget moves
• Finance: understand profit after costs and model fixes before implementing