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.
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.
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.
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.
Segmentation and CLTV analysis empower businesses to personalize customer experiences and maximize revenue.
We are happy to answer any questions regarding our services, your data, and how we could work together.
This project has indirectly received funding from the European Union’s Horizon 2020 research and innovation programme under project REACH Incubator (Grant Agreement no. 951981).
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