User clustering / grouping
Unlike traditional algorithms, clustering is an unsupervised machine learning technique that does not use any defined variables (dependent or independent).
Clustering algorithms aim to identify and aggregate groups of users, according to varying degrees of complexity in the cross-referencing of information.
This segmentation is characterised by:
- A strong consistency within each group
- Significant differences between groups
In other words, members of the same group are very similar and members of different groups are extremely different.
This technique allows digital marketers to adapt their content to the identified audiences.
AT Internet’s added value
How we’re changing the analytics game
Find out how AT Internet will empower you to skyrocket your acquisition, conversion and retention rates. Our advanced and powerful solution is trusted by 1000s of our customers, including, the BBC, Le Monde and Total. Drive your web analytics into the fast lane!
Discover AT Internet
Who are we?
We’re proud to be named a web analytics “Leader” by Forrester Research, Inc.!
Discover why thousands of customers, including some of the world’s biggest brands, trust us.
Discover 20 best practices essential to any analytics strategy and data-driven decision-making.
GET IN TOUCH
Interested in a demo of our solution? Want more info about our company (partnerships, press enquiries or other)? Our teams are available. Just leave us a few details in this form, and we’ll get back to you shortly.