Case Study: Ritual achieves scalable retail data visibility and cost savings with Crisp

With Crisp and Snowflake, Ritual formulates a data solution that bypasses build costs

Ritual, a science-backed vitamin brand that expanded from D2C into retail channels like Whole Foods and Target, needed a better way to unify complex retail data with its existing digital sales, 3PL, and advertising data in Snowflake. The team’s early attempts to pull Target data into Google Sheets and then via a custom API integration were unreliable, prone to schema drift, and difficult to scale, prompting Ritual to look for a retail data solution from Crisp.

Crisp provided Ritual with a fast, automated retail data share that delivered clean, organized data directly into Snowflake within hours, eliminating the need to maintain internal pipelines. With Crisp, Ritual saved 10+ hours per week on manual reporting, reduced up to $240K in annual pipeline maintenance and headcount costs, and created a single analytics view across D2C, Amazon, and retail data; Crisp also projected a potential +5% revenue lift, or about $500K, through better inventory and distribution visibility.

Ritual

Brett Trani

Director of Analytics