Case Study: Tiege Hanley saves $300K and powers proactive analytics with Polar Analytics

Tiege Hanley saves $300K with Polar Analytics

Tiege Hanley, a leading men's skincare brand, faced growing data complexity and high costs as it expanded across multiple platforms. They needed to move beyond basic dashboards to gain proactive insights but wanted to avoid the significant financial and technical burden of building an in-house data stack with tools like Snowflake and Fivetran. Their challenge included difficulties in tracking real-time subscription health, precise attribution modeling, and integrating offline data sources.

Polar Analytics provided Tiege Hanley with its SQL-ready data warehouse and unified semantic layer, which automated data pipelines from sources like Shopify and Google Ads. This solution enabled the team to build predictive models and run advanced analyses without technical overhead. As a result, Tiege Hanley achieved over $300k in annual savings by eliminating the need for complex infrastructure and empowered faster, more informed decision-making across the company.

Tiege Hanley