Predictive Marketing Analytics for Fashion & Lifestyle

Assessing campaigns
without forgetting the season

In fashion and lifestyle, sales are influenced by collections, promotions, holidays, the weather and changing consumer preferences. That makes it hard to attribute a rise in revenue directly to the most recent campaign.

Sale vs. media Discount effect modelled separately
On + offline E-commerce and store in one model
Scenario analysis Budget choices calculated in advance
Fashion & Lifestyle
Why fashion is different

Built on the dynamics of your market

Understand how brand and performance work together
01. Brand and performance

Understand how brand and performance work together

An inspiring campaign can drive search traffic or direct purchases later on. A conversion-focused ad then often gets the measurable sale to its name. Datafy aims to assess these effects together, so the return on brand activity does not drop out of view from the start.

Choose more deliberately between campaigns and channels
02. Budget choices

Choose more deliberately between campaigns and channels

By calculating budget scenarios, you can compare what different allocations of your resources are expected to deliver. That helps you align marketing with your commercial periods, without steering on the last click alone.

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.