Polar Analytics

Service partner
New to the directory

Active partner since February 2020

Polar Analytics

Price range for selected services

Contact for pricing

Social links

Primary location

Paris, France

Supported locations

France, United States

Languages

English, French

About

Business description

Polar is the AI and Data Platform for modern consumer brands. We help Shopify and omnichannel retailers centralize their data, analyze performance, and grow profitably across channels with powerful analytics and AI-driven insights.

Other services

Analytics and tracking, Custom apps and integrations, Systems integration, International expansion, Wholesale/B2B

Industries

Clothing and fashion, Consumer packaged goods, Health and beauty, Home and garden

Featured work

Why Aetrex Uses Polar Analytics to Cut Reporting Time by 63% and Unloc

Aetrex, a global leader in comfort footwear and orthotics, rebuilt its analytics stack on Polar after migrating to Shopify. With Polar’s Pixel and Demographic Enrichment, Aetrex gained 99% attribution accuracy, cut reporting time by 63%, and lifted repeat purchases by 17% through deeper customer insights.
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Why Schleich Uses Polar Analytics to Run Global DTC Reporting

Schleich, a global toy brand with 11 Shopify stores, unified its fragmented analytics with Polar. By connecting Shopify, Amazon, Meta, and Klaviyo into one platform, Schleich cut reporting time by 35 hours per month, achieved 95% attribution accuracy, and empowered 15+ teams to self-serve insights and drive global growth.
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How Tiege Hanley Replaced a $300K In-House Data Stack with Polar

Tiege Hanley, a leading men’s skincare brand, replaced a $300K in-house data stack with Polar. By unifying Shopify, Amazon, Meta, and Klaviyo data into one warehouse and semantic layer, the team gained proactive analytics, real-time insights, and predictive models—cutting costs and accelerating smarter, data-driven growth.
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WillPowders Finds Out What Really Happens When You Turn Off Brand Ads

WillPowders used Polar’s Incrementality Testing to measure the true impact of branded search ads. The experiment revealed zero incremental lift—paid clicks simply replaced organic ones. By cutting brand ad spend by 90%, the team redirected budget toward higher-impact growth while maintaining stable traffic and stronger ROI.
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How The Feed Optimized Brand Search Efficiency with Polar Analytics

The Feed used Polar’s Incrementality Testing to assess the true impact of $25K/month in Google brand search ads. Results showed only a 2% traffic lift with heavy organic cannibalization and a $950 CPA. With Polar, The Feed optimized brand search spend, saving thousands while focusing on higher-ROI growth channels.
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How Modular Closets Increased Browse Abandonment Revenue by 54%

Modular Closets used Polar’s Klaviyo Flow Enricher to recover lost email revenue after iOS privacy changes. By capturing up to 70% more abandonment events through Polar’s server-side pixel, they boosted Browse Abandonment Flow revenue by 54% in 28 days—recovering thousands in missed opportunities effortlessly.
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