What is a cohort?
A cohort is a defined group of products or sessions that share an attribute and can be analysed or activated together. Cohorts let merchandisers operate on slices of the catalogue at portfolio scale rather than product by product.
What can a cohort be built from?
Any shared attribute — a category, a collection, a price band, a lifecycle state, or a demand characteristic such as accelerating or at scarcity risk. Because the attributes are drawn from live demand as well as static catalogue data, a cohort can be behavioural (“everything trending in footwear this week”), not just structural (“everything in the footwear category”).
Why operate on cohorts instead of individual products?
Scale. A catalogue can have tens of thousands of products; deciding on each one individually does not work. Cohorts let a merchandiser reason about and act on meaningful groups at once — surface a message across everything at scarcity risk, or analyse how all newly launched products are performing — without losing the per-product detail underneath.
How do cohorts fit into demand intelligence?
Cohorts are the relationship dimension of the demand layer — the way the per-product demand model is grouped into portfolio-scale slices. They sit alongside the catalogue, demand and decision dimensions, turning a model of individual products into something operable across the whole store.
See cohorts in the platform
The platform builds cohorts from live behaviour and static catalogue data, so you can act on slices of the catalogue at once.