The client was struggling to gain a granular understanding of their customers’ wants and needs to increase conversion rates and sales. The client wanted to monetize the existing in-house data, but thought it was unstructured and incomplete.
Case Study
Customer segmentation
The Business Challenge
The Solution
We used machine learning modeling to segment customers in clusters, based on the purchasing/usage patterns, demographics, and psychographics. We linked the result with customer satisfaction scores to micro-segment the customer pool.
Deliverables
Cluster analysis putting the customer into 7 clear segments with specific characteristics
A predictive model to segment new customers based on the available clusters
Compelling visual representation of segments’ satisfaction metrics
Business impact
We improved the client’s NPS score by 3 points and boosted sales, through the delivered cluster analysis. Data-driven segmentation also enriched the client’s classical market research.
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Segmentation / Customer Lifetime Value
Segmentation and CLTV analysis empower businesses to personalize customer experiences and maximize revenue.
