Product Marketing, Marelle Ellen

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Machine learning can be used in marketing in supervised and unsupervised ways to better target customers. Supervised learning uses labeled training data to classify customers, while unsupervised learning finds hidden patterns in unlabeled data. These techniques can help analyze existing customers, detect the most valuable ones, prevent customer churn, recommend the right products to buyers, and power personalized email campaigns and creative marketing strategies.

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This marketing presentation is a product of team of students from the University of Huddersfield, UK who mentored students from Kajire Secondary, Kenya in marketing, customer relations and business sustainability. Students communicated through skype and email in the first term of 2016. The cooperation was managed by student Chris Wainwright from the University of Huddersfield and Abuga Ezra, teacher and Sote ICT Club mentor at Kajire Secondary.

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