Business Scenarios

E-commerce & DTC Brands

Online brands live and die by unit economics — CAC, lifetime value, returns and incrementality are all measurable, and all fixable.

Direct-to-consumer is the most data-rich business there is, yet rising ad costs have pushed customer-acquisition cost up 40–60% in two years — so the brands that win are the ones that measure what actually pays. We work from your store, ad and subscription data to model true incremental ROAS, lifetime value, return rates and the discount depth that maximises profit, then move the spend and the merchandising to match.

The 5 e-commerce & DTC scenarios

Frequently asked questions

How can data-driven marketing help an e-commerce or DTC brand?
Online brands are the most data-rich businesses there are, but rising ad costs have pushed acquisition cost up 40–60%. We work from your store, ad and subscription data to model true incremental ROAS, lifetime value, returns and the discount depth that maximises profit, then move spend and merchandising to match.
Which DTC businesses are covered?
Five: a fashion/apparel store, a beauty/skincare brand, a supplements subscription, an online furniture brand and a specialty-food brand — each solved with a distinct method, from returns prediction to incrementality testing and LTV:CAC optimization.
Are the figures real client results?
The numbers are representative examples that illustrate the method and the kind of outcome it produces, not specific client data.

Curious what the math says about your store?

Send us your store and ad data and we will start from your real numbers.

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