|Customer :||E-Commerce (Italy)|
|Category :||Customer analysis|
|Tags :||clustering, personalization|
Segmentation and clustering of e-commerce users according to different variables in order to offer them a personalized homepage based on their interests and to send them high-performance newsletters.
Study of the behaviour of the users on the website and the effectiveness of entrance channels in terms of conversion to purchasing over time.
– Improved AB testing
– Personalized recommendation algorithm
– Users clustering
– Behavior analysis
– Supply and demand match
– Dedicated search engines