Boosting Customer Lifetime Value: A Data-Driven Approach for D2C Brands
Thesis, a personalized brain supplement company, overcame fragmented data by using Chord to create a single Snowflake instance.
By Linda Cereda · June 23, 2026
TL;DR
• Thesis, a personalized brain supplement company, needed to scale its data infrastructure for multiple product lines and growing customer numbers.
• Previous data solutions were expensive, slow, and couldn't unify data across brands, hindering crossproduct analysis and retention metrics.
• Chord established a single Snowflake instance, connecting all brand data for comprehensive visibility into key metrics like retention and LTV.
• Chord provided custom integrations, streamlining data consolidation and removing previous implementation hurdles.
• This unified data environment allowed Thesis to implement datadriven personalization at scale, utilizing quiz responses, reviews, and transaction data.
Table of Contents
• Background
• The Challenge
• The Solution
Background
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.
The Challenge
Data Disintegration: Thesis's separate product lines prevented measuring key metrics like retention across the entire business. Disconnected systems made crossproduct 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."
• Dan Freed, CoFounder, Thesis
The Solution
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.
DataDriven Personalization: Unified quiz responses, product reviews, and transaction data enabled personalized customer experiences at scale.
This content was generated with the assistance of artificial intelligence and has been reviewed for accuracy. It is provided for informational and educational purposes only and does not constitute professional, legal, financial, medical, or other regulated advice. Readers should consult qualified professionals for guidance specific to their circumstances. The publisher does not guarantee the completeness or applicability of this information to any individual situation.