Understand customers behaviors to improve sales
Use unsupervised learning to segment and understand customer behaviours.
Understand the most important factors that impact customer churn and prescribe an actionable strategy.
Identify associated product groups to “recommend” products for cross-selling.
Analyze structured and unstructured survey data to deepen your customer understanding .
Discover Graphext endless value and see first hand how it can change your business.
Attempting to discover the most influential features of a loan application when considering risk, our team built a model using the features of a loan application to predict whether an applicant would have a good or bad risk rating.
Our team set out to build an exceptional football team for less than 100M Euros. Using data provided in the FIFA 2020/2021 dataset - the video game - we built a prediction model in order to find the key performance attributes for each position. Then, we used this to pick out a team of excellent but undervalued players.
We built a model clustering 233 Superbowl ads using data from FiveThirtyEight in order to work out what content brands use to sell their products during America's most-watched sporting event.
Exploring how Graphext's data-driven approach might be used to identify the characteristics of successful salespeople.
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