Semantic Layer
The Polar ecommerce semantic layer transforms raw data into unified, business-ready metrics. It reconciles naming, formatting, and structure for platform-specific fields, enabling consistent, cross-channel reporting without manual cleanup.
It supports calculated fields, custom metrics and dimensions, and reusable logic for reporting, ensuring every team works from the same definitions.
Semantic model for Blended CAC
Features
Cross-Channel Compatibility
Eliminates manual mapping and cross-referencing by standardizing naming conventions and schemas across Meta, Google, TikTok, and more.
Structured and Unified Metrics
Automatically transforms raw data into clean, consistent, and business-ready fields.
Customizable Metrics and Dimensions
Start with hundreds of standardized metrics and dimensions. Then customize with if/then logic, filters, and formulas, for precise and brand-aligned reporting.
No Code Team Wide Access
Let anyone query trusted metrics without SQL or data wrangling.
Cross-Channel Compatibility
Eliminates manual mapping and cross-referencing by standardizing naming conventions and schemas across Meta, Google, TikTok, and more.
Structured and Unified Metrics
Automatically transforms raw data into clean, consistent, and business-ready fields.
Customizable Metrics and Dimensions
Run advanced SQL queries to explore, segment, analyze data, and generate reports that answer any business question.
No Code Team Wide Access
Let anyone query trusted metrics without SQL or data wrangling.
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