How Evolve Went From Spreadsheet Dependency to 0 Spreadsheets for Data Analysis

Customer

Evolve Organic Beauty is a long-established clean beauty brand with a growing ecommerce business and a wide product catalog.

The Challenge

Answering deeper questions about customer behavior and product performance required extensive spreadsheet work. Analyses such as SKU-level repurchase rates, cohort behavior over time, and long-term performance trends meant working through thousands of rows in Excel.

These workflows were time-consuming, fragile, and often blocked progress. Running a new cut of analysis or following a new line of questioning meant rebuilding models or duplicating spreadsheets, slowing down decision-making and limiting how often the team could explore their data.

Evolve needed a way to run complex analysis without relying on heavy spreadsheet manipulation or specialist analyst skills.

How Evolve Used Menza

Evolve replaced spreadsheet-based analysis with conversational queries in Menza. Instead of building models manually, the ecommerce team asked questions directly about customer cohorts, repurchase behavior, and product performance.

Menza allowed the team to iterate on insights through follow-up questions in chat, making it easy to explore different cuts of the data without rebuilding spreadsheets or starting analyses from scratch.

Impact

• Eliminated reliance on Excel for complex ecommerce analysis
• Faster access to granular insights without analyst-level tooling
• Enabled more frequent and deeper exploration of customer and product data
• Reduced friction between questions and answers for the ecommerce team

Customer Quote

Since using Menza, I’ve basically stopped touching spreadsheets for heavy data analysis. — Beatrice Piazza, Head of Ecommerce