Case Study: Marley Spoon (meal-kit subscription service) achieves faster, more accurate cohort revenue modelling and saves 30 hours/month with Causal

How Marley Spoon levelled up their revenue modelling with Causal

Marley Spoon, the publicly listed direct‑to‑consumer meal‑kit company operating across the US, Europe and Australia, faced a scaling problem: their complex cohort‑based revenue model lived in brittle Excel files that took minutes to run, were disconnected from their data warehouse and Looker, hard to share or visualise, and contained millions of formulas and no good versioning. Looking for a platform that could handle bespoke cohort modelling, live data connections and scenario/version control, Marley Spoon adopted Causal to replace the spreadsheet bottleneck.

Causal implemented live data integrations to pull two years of weekly cohort data, automated weekly refreshes, and a detailed weekly‑granularity model spanning six years, eight countries and two brands, plus built‑in version and scenario management. The switch cut the model from ~6.5 million Excel formulas to a few hundred (≈10,000x reduction), saved about 30 hours per month, and delivered stronger auditability and confidence in the numbers—freeing Marley Spoon’s team to focus on strategic business partnering.

Marley Spoon

Dina Fok

Business Analysis Lead