For modern banking services providers, understanding the customers is the foundation for a sustainable competitive advantage. The internal and external data sources available to banking services companies can be great sources for guiding product development, customer communication, innovation, and growth. This data can be further meticulously analyzed using advanced capabilities such as customer analytics through which banking services companies can get to know their customer at a more granular level. Furthermore, it can help in effective customer segmentation that reveals specific intelligence that could otherwise be obscured by the sheer volume of data. These insights aid banking services companies identify messaging strategies for marketing and customer service strategies and also gain a better understanding of the customer lifecycle and predict customer behavior.
Why is customer analytics important in banking services?
It is high time for banking services companies to up their game in customer analytics. Here’s why:
Analytics is the new normal
As a result of low-interest rates, moderate fee revenue, onerous regulation, and a less than robust economy, the banking services providers are expected to remain revenue challenged for the foreseeable future. So, it will be more important than ever for banking services providers and credit unions to focus on all possible strategies that would help them reduce costs and increase revenues. Some of these strategies that can be achieved by customer analytics include:
- Better management (and measurement) of sales leads across channels
- Inclusion of custom customer incentives/rewards to influence behavior
- Improved targeting of customer segments
- Moving from a product focus to a customer focus
Achieve customer centricity
Customer delivery and communication channels are expanding. This means that more customers interacting with their financial providers and banking services companies are using online and mobile channels, making it easier to gain insights into real-time sales and services. Analytics can respond to this rapid migration to digital channels by:
- Integrating sales and service tools within a new digital environment
- Improving branch efficiency and effectiveness
- Helping to drive high value, high touch traffic back to branches
Customer analytics is no longer a domain that can be used and accessed solely by highly skilled specialists. Today, these solutions can be easily accessed and used by marketers and other business users to answer complex inquiries. Improvements include:
- Increased number of specialized vendor solutions and expanded talent
- Collapsing of product silos and ability to process increased data sources
- Cloud-based solutions
Establishing analytics as a true business discipline can help banking services providers to grasp the enormous potential. Get in touch with us to know how we can help banking sector clients in establishing a customer analytics program to suit their organizational requirements.
How can customer analytics help banking services?
We at Quantzig have identified six levers that make customer analytics a core component for banking services companies to consider:
Most financial marketers are highly interested in the ability to gain a better insight on current customers. Demographics and current product ownership form the foundation of customer insight. However, behavioral and attitudinal insights are gaining in importance as channel selection and product use have become more differentiated. Take the instance of sentiment analysis and social media analysis that are helping companies analyze in-depth about their customer emotions on social platforms. Furthermore, scoring models such as FICO is especially useful for banking services companies to analyze consumers’ credit history, loan or credit applications, and other data to assess whether the consumer are likely to meet their payment obligations on time in the future.
Customer analytics proves to be highly useful in banking services companies for product and channel development as well as economic forecasting, business improvements, risk analysis, and financial modeling.
Managing customer experience
Using customer analytics for customer experience management (CEM) helps banking services providers in delivering personalized, contextual interactions that will assist customers with their daily financial needs. Moreover, if done correctly, customer analytics enables the real-time delivery of product or service offerings at the right time, thereby ensuring a better customer experience.
One of the more common uses of ‘big data’ today especially for banking services companies is in the area of risk and fraud management. The applications of data mining have expanded well beyond providing internal purchase and balanced insights. It now even includes transaction patterns and social media interactions that can provide a leading indicator of potential losses or fraud. The integration of structured and unstructured data in banking services can also be leveraged for traditional risk management including pricing decisions.
Another traditional use of customer analytics in financial services is the ability to increase the effectiveness and efficiency of sales and marketing. The ability to derive insights on the likelihood of purchase based on the available information on individual customers has ushered in a seismic shift in marketing from product centricity to customer centricity. Banking services companies and credit unions are now able to make unique, timely, and relevant offers based on available customer insight rather than offering products and services based on what the financial institution would like to sell. This allows banking services providers and financial marketers to significantly improve the efficiency of marketing spending and the close rate of sales leads.
To learn more about how Data analytics solutions work in banking sector companies, request a proposal.
Implementing customer analytics for banking services
The future is already here. The only drawback is that it is not evenly distributed. Banks services and companies in every other industry are already deploying advanced analytics to move their businesses forward. Quantzig has identified that almost every top bank lists advanced analytics among its top five priorities. Most plan to invest further in these techniques. A few banking services companies are already seeing the rewards. By establishing data lakes and centers of excellence and using machine-learning techniques these leaders have already built substantial foundations for their business.
How do you know what analytics capabilities to invest in for your business? All you need is an analytics expert that can guide you on leveraging the available data by avoiding pitfalls in banking services and accessing the broad set of opportunities. At Quantzig, we understand these needs of our clients and are committed to helping them bolster their analytics capabilities. Request a demo to know more about our analytics solutions.