How Thesis Unified Data and Unlocked Personalization with Chord

Thesis, established in 2017 in New York City, pioneered personalized brain supplements. The company needed scalable data infrastructure to support multiple product lines and expanding customer numbers. Chord provided the foundation for connecting insights across products, reducing expenses, and delivering personalization at scale.

Data Disintegration: Thesis's separate product lines prevented measuring key metrics like retention across the entire business. Disconnected systems made cross-product analysis nearly impossible.

Unsatisfactory Data Solutions: Previous tools were either expensive or delivered results too slowly. Teams spent excessive time compiling reports rather than acting on insights.

“We've tried various tools in the past, and while many excel in one area, they falter when you attempt to merge different metrics. With everything set up in Snowflake through Chord, we're now equipped to perform deeper analyses.”

Unified Data Environment: Chord created a single Snowflake instance connecting both brands' data, providing visibility into retention, Lifetime Value, and critical metrics.

Custom Integrations: Chord built necessary integrations instead of requiring workarounds, removing implementation obstacles.

Data-Driven Personalization: Unified quiz responses, product reviews, and transaction data enabled personalized customer experiences at scale.