Seurat Analytics

About Seurat
Seurat brings causal inference analysis to mid-market retailers so they can isolate the sales impact of strategic business moves they’ve already made, and size the impact of best practices observed elsewhere.

Once reserved for Fortune 100 retailers with teams of analyst-consultants, cheap cloud computing and open-source code opened these methods up to a broader market. We work from the sales data you already have. No new hardware, no integration. Most sales analysis benchmarks a store against its peers. We build each store its own likely sales trajectory so you can see how a site performs against a more relevant metric – its own potential.

We work in c-store, QSR, car wash, and EV charging, answering questions like:

Why are my foodservice sales down?
Our best store last quarter added staff, ran a loyalty promo, tested a new menu item, and the construction down the street ended. Which of these really caused our sales to increase, which should we replicate elsewhere, and why?
We’re losing foodservice traffic to the national chains opening nearby. How do we compete?

If your team is asking these questions, contact us for answers.