How Tiege Hanley Replaced a $300K In-House Data Stack with Polar

• Replacement of a $300K in-house data stack
• Shopify, Amazon and Meta data unified in one warehouse
• Semantic layer over the unified data
• Predictive models

Replacing Tiege Hanley's $300K in-house data stack

Tiege Hanley, which Polar Analytics describes as a leading men's skincare brand, used to run a $300K in-house data stack. The brand replaced it with Polar, which brings its Shopify, Amazon and Meta data together in one warehouse and semantic layer.

Predictive models from one Shopify, Amazon and Meta warehouse

According to Polar Analytics, moving to a single warehouse and semantic layer gave the Tiege Hanley team proactive analytics, real-time insights and predictive models in place of the in-house stack. Polar Analytics also reports that the move cut costs and sped up data-driven growth for the brand.

About the partner

Polar Analytics is based in Paris, France, serves merchants in France and the United States, and works in English and French. Its industries include Health and beauty.

Who set up Shopify analytics for the men's skincare brand Tiege Hanley?

Polar Analytics. It replaced Tiege Hanley's $300K in-house data stack with its own platform.

What data did Polar Analytics unify for Tiege Hanley's Shopify store?

Polar Analytics brought Tiege Hanley's Shopify, Amazon and Meta data into one warehouse and semantic layer. Polar reports that this gave the team proactive analytics, real-time insights and predictive models.

Where is Polar Analytics based, and which languages does it work in?

Polar Analytics is based in Paris, France, and works in English and French.