Case Study: Moneysupermarket Group achieves millions in incremental revenue through model-driven pricing with Domino Data Lab

Increasing Revenues by Millions with Model-Driven Pricing

Moneysupermarket Group, a UK consumer comparison business reaching over 13 million active users monthly, needed to scale its data science for pricing, recommendations and personalization. Teams faced friction accessing compute and data, difficulty reproducing experiments, and long lead times to move models into production, limiting their ability to iterate and deploy model‑driven pricing at scale.

They adopted Domino—a centralized, code‑first platform supporting Python, R, NLTK, R Shiny and Plotly on cloud infrastructure—which enabled reproducible workflows, experiment tracking, and faster model packaging and deployment. The outcome was dozens of production models, improved collaboration and governance, faster time‑to‑market and millions of pounds of incremental revenue from model‑driven pricing and personalization.

Moneysupermarket Group

Harvinder Atwal

Chief Data Officer