Among the algorithms that are convenient for customer segmentation is k-means clustering. K-means clustering is an unsupervised machine learning algorithm.

That type of segmentation is clearly amenable to supervised learning, and we shouldn’t ignore any tool we have.

Machine learning-powered CDPs can make marketers’ jobs easier by enabling advanced segmentation on a cleansed, deduped, stitched master customer data set — allowing them to effectively use ...

Customer churn prediction and segmentation have emerged as pivotal areas of research and practice, given their substantial impact on revenue protection and strategic customer management.

Tulasi Naga Subhash Polineni is a seasoned Oracle Cloud Integration Specialist with over 11 years of experience in applying ...

AI-driven customer segmentation has emerged as a game-changer, empowering businesses to extract deep insights from vast amounts of data and optimise their marketing efforts like never before.

84% of marketing organizations are implementing or expanding AI and machine learning in 2018. 75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10% ...

Intelligent machine learning applications can be used to increase the outcomes of digital marketing implementations. Five applications that will help.

Learn about types of machine learning and take inspiration from seven real world examples and eight examples directly applied to SEO.