# Polar Analytics > Analytics and AI platform purpose-built for high-growth DTC ecommerce brands. The first ecommerce analytics platform with native Claude MCP integration. Polar consolidates data from 45+ sources (Shopify, Meta Ads, Google Ads, Klaviyo, TikTok, Amazon, etc.) into a dedicated Snowflake data warehouse with AI-powered agents, no-code BI dashboards, first-party attribution, and live ecommerce benchmarks. ## Core product - [Home](https://www.polaranalytics.com): Product overview - [Polar AI](https://www.polaranalytics.com/ai): AI agents for ecommerce — data analyst, email marketer, media buyer, inventory planner - [Polar MCP](https://www.polaranalytics.com/ai/mcp): Free Claude MCP integration to query your ecommerce data with natural language - [Pricing](https://www.polaranalytics.com/pricing): Two plans — Polar BI (dashboards, analytics, Pixel, MCP) and Polar AI (adds AI agents, CAPI Enhancer, Activations). GMV-based pricing tiers, transparent, flexible contracts. - [Connectors](https://www.polaranalytics.com/connectors): All 45+ data integrations ## AI agents & capabilities - [Ask Polar](https://www.polaranalytics.com/ask-polar): Multi-agent AI chat system — builds dashboards, generates static reports, and runs deep analysis through natural language. Four specialized agents: Default, Dashboard, Static Report, and Analysis. - [AI Email Marketer for Klaviyo](https://www.polaranalytics.com/ai-email-marketer-for-klaviyo): AI agent that enriches Klaviyo flows and sends data back to improve email revenue. - [Inventory Planner Agent](https://www.polaranalytics.com/ai/inventory): Ambient AI agent that reacts to inventory signals and helps order at the right time. - [Media Buyer Agent](https://www.polaranalytics.com/ai/media-buyer): Ambient AI agent focused on improving ROAS through media buying optimization. - [Polar MCP](https://www.polaranalytics.com/ai/mcp): MCP protocol for external AI access — works with Claude, ChatGPT, and n8n for scheduled AI reports. - [Workflow Audit](https://www.polaranalytics.com/ai/workflow-audit): No-fluff sprint to uncover what's slowing your team down — delivers a 90-day roadmap to automate high-impact tasks using AI. ## Key capabilities - [Semantic Layer](https://www.polaranalytics.com/semantic-layer): Unified data model across all sources — metrics like Contribution Margin, LTV, and CAC are accurate, governed, and ready out-of-the-box. - [Data Warehouse](https://www.polaranalytics.com/data-warehouse): Native Snowflake warehouse per tenant for ecommerce. SQL access available as add-on. - [Business Intelligence](https://www.polaranalytics.com/business-intelligence): No-code BI for DTC brands — custom reports (table & chart builder), custom dashboards, custom metrics (formula-based), and custom dimensions. - [Polar Pixel & Lifetime ID](https://www.polaranalytics.com/features/polar-pixel-and-lifetime-id): First-party server-side tracking pixel with in-house attribution. Captures cross-device journeys, bounce sessions, and 70% longer tracking windows vs competitors. Imports 2+ years of historical data from Shopify/Meta/Google on day one. - [Polar CAPI Enhancer](https://www.polaranalytics.com/features/polar-conversion-api-capi-enhancer): Conversion API integration sending enriched first-party data to Meta, Google Ads, and TikTok. Ensures 100% event delivery with full customer and order details. Case study: The Frankie Shop achieved -22% Cost Per Purchase and +30% ROAS in one week. - [Increase Retention & LTV](https://www.polaranalytics.com/solutions/increase-retention-and-ltv): Cohort analysis and customer lifetime value tracking — cohort tables, gateway product analysis, purchase frequency, and LTV by acquisition period. - [Optimize Customer Acquisition](https://www.polaranalytics.com/solutions/optimize-customer-acquisition): Channel performance, campaign insights, blended overview, and creative studio for analyzing ad creative performance across TikTok, Meta, and more. - [Smart Alerts](https://www.polaranalytics.com/features/smart-alerts): Threshold-based metric alerting (email/Slack) and scheduled reports via email, Slack, or Notion. - [Causal Lift](https://www.polaranalytics.com/l/causal-lift): GeoLift / causal inference for measuring true campaign impact (add-on). - [AI Personas](https://www.polaranalytics.com/l/personas): AI customer segmentation powered by Faraday (add-on). ## Connectors (45+) - **Sales channels**: Shopify, Recharge, Amazon Seller Central, Amazon Vendor Central, Walmart - **Analytics & attribution**: GA4, Google Search Console, Polar Pixel, Fairing - **Advertising**: Facebook Ads, Google Ads, TikTok Ads, Snapchat Ads, Pinterest Ads, Bing Ads, Criteo, Amazon Ads - **Email & SMS**: Klaviyo, Attentive, Omnisend - **Helpdesk**: Gorgias - **Other**: Google Sheets (custom data), custom connectors via professional services ## Benchmarks (free, public) - [Ecommerce Benchmarks](https://www.polaranalytics.com/ecommerce-benchmarks): Live industry benchmarks for CVR, AOV, CAC, ROAS, ATC across 11 industries, GMV tiers, and AOV tiers. Updated weekly with data from Polar's customer base. Benchmark data shows 25th percentile (low), median, and 75th percentile (high). ## Comparisons - [vs Triple Whale](https://www.polaranalytics.com/vs/triple-whale): TW is a marketing dashboard on third-party tracking; Polar is a BI platform on first-party data. Proven attribution superiority in head-to-head audits (e.g., Caba Designs Sept 2025). TW has forward-looking-only pixel; Polar imports historical data day one. - [vs Northbeam](https://www.polaranalytics.com/vs/northbeam): Polar offers full-stack BI + attribution + inventory + profit analytics in one view. Supports importing historical Northbeam data for migration. - [vs Lifetimely](https://www.polaranalytics.com/vs/lifetimely): Polar provides full BI and attribution stack vs Lifetimely's narrower P&L/LTV focus — broader use case coverage in one platform. - [vs Lebesgue](https://www.polaranalytics.com/vs/lebesgue): Polar includes Pixel natively vs expensive add-on; advanced analytics (GeoLift, Custom BI) vs basic surface-level insights. - [All competitors](https://www.polaranalytics.com/vs): Full comparison hub. ## Resources - [Blog](https://www.polaranalytics.com/blog): Product updates and ecommerce analytics insights. - [Case Studies](https://www.polaranalytics.com/case-studies): Case studies from DTC brands. - [Contact / Book a Demo](https://www.polaranalytics.com/contact): Schedule a personalized demo. - [Help Center](https://intercom.help/polar-app/en/): Support documentation. ## About Polar Analytics Polar Analytics is the analytics and AI platform of choice for high-growth DTC brands. 45+ native connectors ingesting data into a dedicated Snowflake warehouse, first-party server-side Pixel with in-house attribution, CAPI Enhancer for Meta/Google/TikTok, AI agents (Ask Polar 2.0, Email Marketer, Media Buyer, Inventory Planner), no-code BI with custom reports and dashboards, industry benchmarks updated weekly, and Claude MCP integration for agent-first workflows. Two plans: Polar BI for analytics and reporting, Polar AI for the full suite including agents and data activation. GMV-based pricing — transparent, no hidden fees, flexible contracts.