You want to segment your customer data for marketing reseach purposes and identify homogeneous groups to build supervised models. What should you use to achieve this?
To segment your customer data for marketing research purposes and identify homogeneous groups to build supervised models, you should use clustering12.
Clustering is a type of unsupervised machine learning that groups data points based on their similarities in terms of features or attributes.Clustering can help discover the underlying structure of the data and reveal the natural segments or categories within it12.
Clustering can be useful for marketing research because it can help identify different types of customers based on their demographics, preferences, behaviors, or needs.Clustering can also help create customer profiles or personas that can be used to target specific segments with tailored marketing campaigns or offers12.
Clustering can also be used as a preliminary step for building supervised models, such as classification or regression.By using the cluster labels as an additional feature or a target variable, supervised models can learn from the cluster information and improve their accuracy or performance12.
Limited Time Offer
25%
Off
Dierdre
5 months agoLachelle
3 months agoCarli
3 months agoDaren
3 months agoJustine
3 months agoAlmeta
3 months agoDana
3 months agoSantos
4 months agoTracey
4 months agoElenore
4 months agoOretha
4 months agoLashandra
4 months agoMargo
4 months agoTerrilyn
5 months agoTeddy
4 months agoJavier
4 months agoKami
5 months agoHolley
5 months agoDonte
4 months agoYuette
4 months agoWai
4 months agoSelma
5 months agoKandis
5 months agoLouvenia
5 months agoMarilynn
5 months agoAnnelle
5 months agoErin
6 months agoAdolph
6 months agoRosendo
5 months agoPeter
5 months agoBenton
6 months agoKami
6 months ago