Customers are undeniably the lifeblood of any financial services provider, serving as the driving force behind their success. Historically, the primary focus of financial institutions has been acquiring new customers to strengthen and grow their deposit base. While the growth derived from new customer acquisition is valuable, it is equally critical to assess attrition risk,
In today’s market, retaining current deposit clients is crucial for maintaining stability, trust, and effective operations. However, retaining customers is difficult due to increased competition, evolving customer expectations, and a lack of differentiation among financial services providers, with the emergence of online banking platforms and mobile apps with self-service options that don’t require an in-person
A lot has changed since Salesforce first released Financial Services Cloud (FSC) in 2015. At first it was primarily a standardized data model with a couple of lightning web components to help illustrate relationships and an advisor’s daily view. Salesforce has iterated on it in the years since and added a host of new functionality,
The Consumer Financial Protection Bureau (CFPB) was recently found by a court to be unconstitutional. But regardless of the politics and legalities of the CFPB, the cause of protecting banking consumers should be a concern for everyone. This includes retail banks. A cynical observer might ask why a bank should care about consumers, but principles
Predictive Analytics has the power to revolutionize almost any industry. It’s especially useful for financial institutions like banks and fintech firms because they help gain access to the subconscious behavior of customers. This includes their spending and saving habits, social habits, and more. We can use this data to personalize service for customers and customize
Over the past few years, A.I. and machine learning have disrupted the entire landscape of how we consume products and services as customers. This trend continues as more companies are starting to realize the benefits of incorporating big data and machine learning into their business models and as a part of the services they offer.