Predictive Marketing Analytics for Fashion & Lifestyle

Collections, sale and season.
And your media running through it.

In fashion, revenue moves with the collection calendar, the weather and the sale periods, before a single euro of media is spent. Datafy models that inherent dynamic explicitly, so you see which campaigns truly drive sales and which are just riding along on the season.

Sale vs. media Discount effect modelled separately
On + offline E-commerce and store in one model
Weekly Budget advice per channel
Fashion & Lifestyle
Why fashion is different

Built on the dynamics of your market

Collection launches and sale as their own variables
01. The calendar

Collection launches and sale as their own variables

A new collection or the start of the sale affects revenue regardless of your media spend. Datafy includes those moments as events in the model, so a campaign during the sale does not wrongly get the credit for the discount.

E-commerce and in-store sales in one model
02. Every sales channel

E-commerce and in-store sales in one model

Social drives webshop sales, but also store visits, and the other way around. By modelling online and offline sales together you see the full effect of every campaign, instead of only the part that is digitally measurable.

Weather and season get their own share
03. Season & weather

Weather and season get their own share

An early summer sells dresses, a cold October sells coats, without your media doing anything for it. Temperature and seasonal patterns are standard model input, so the return on your campaigns does not move with the weather forecast.

Fashion & Lifestyle

Want to see which campaigns sell and which ride along?

Book a demo and we'll show you how collection, sale, weather and media are pulled apart.