Seacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya. As banking services move online, it’s critical for banks to get a clear view of their most loyal customers to answer questions like: What’s the lifetime value of a customer? What’s driving that profitability? And what’s the best opportunity to increase that value?
Banks have a lot of customer data, given their role as financial intermediaries. The challenge is tapping into it to understand customer value and, ultimately, find new ways to better serve, retain and acquire customers.
With plenty of customer data at hand, Seacoast Bank turned to SAS to gain insights into customer wants and needs. The first step: wrangling the data from different sources to make it useful in a consistent, trusted manner. With that done, Seacoast uses machine learning to better understand its customers, and SAS Visual Analytics on SAS Viya to make that insight readily available to employees.
Machine learning delivers personalization at scale
Improving the customer experience through advanced analytics is necessary for modern banks to stay competitive. Seacoast excels in this arena due to its proprietary customer analytics platform, which is powered by the SAS Platform and used to unearth customer insight for many purposes.
After aggregating and contextualizing its data for analytics, the bank used SAS Enterprise Miner to build a customer lifetime value (CLTV) model, which looks at every customer, measures their value, and specifies why they’re valuable. Calculating the CLTV is critical for estimating a customer’s potential and how much the bank should invest in reaching and serving that customer to receive maximum ROI.
See the full customer success story of how SAS and Seacoast Bank are finding the best customers with machine learning. Visit [ Ссылка ].
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