Case Study: Dollar Shave Club accelerates data analysis and personalizes customer experience with Amazon Web Services

Dollar Shave Club Uses AWS to Accelerate Data Analysis, Improve User Experience

Dollar Shave Club, the Venice, California ecommerce company behind millions of razor and grooming product deliveries, wanted deeper insight into customer trends and product performance to deliver a more personalized experience. Running its platform on Amazon Web Services, the company used Amazon Redshift for ad hoc analysis but needed a more scalable, cost-efficient way to handle rapidly growing data and improve reporting speed.

Amazon Web Services helped Dollar Shave Club adopt a lake house architecture using Amazon Redshift, Amazon S3, Redshift Spectrum, and AWS Glue Data Catalog to query and curate more than 60 terabytes of data without loading it. With AWS, reporting time dropped from at least 8 hours to 5 minutes, the company can produce multiple reports a day instead of 3–4 a week, and it saves about $300,000 annually while also improving personalization, website optimization, and marketing decisions.

Dollar Shave Club

Sergey Zavgorodni

Senior Data Architect