Knowledge as a differentiator in a crowded market
The financial services sector is witnessing a shift in customer expectations, propelled by the proliferation of fintech companies offering novel products and interfaces. In this crowded marketplace, the brands that stand out are those that understand their customers the best and apply this knowledge effectively. The content of both digital and face-to-face interactions is highly valuable, and gathering data at each touchpoint is crucial for continuous improvement, as well as maintaining a competitive edge.
This shift is not just about offering a wider range of digital services; it’s about harnessing the power of customer data to create more personalized, engaging, and valuable experiences. For instance, many financial institutions now employ advanced analytics to understand customer behaviors and preferences, enabling them to offer tailored products and services. This allows them to progress beyond traditional customer segmentation techniques, using real-time data and predictive analytics to anticipate customer needs even before they arise — with personalization down to the individual level.
The strategic gathering of data at every customer interaction point creates a strong foundation for continuous improvement. Each interaction offers valuable insights into customer preferences, pain points, and potential opportunities for innovation. Through this data-centric approach, knowledge becomes a dynamic asset, continually refining and reshaping the customer experience in response to evolving market conditions and expectations.
Building knowledge without compromising CX
Of course, the idea of being continually monitored and surveyed is not necessarily an appealing one for customers. In the quest to build ever more detailed customer profiles, financial institutions face the challenge of maximizing data collection without interrupting the customer experience. The key lies in adopting low-profile data-gathering strategies that seamlessly integrate into each stage of the customer journey.
One effective approach is to gather data in a way that also delivers clear benefits to the customer — for example, interactive tools that provide personalized advice or recommendations based on the data collected. For instance, a mortgage calculator that suggests the best loan options based on the customer’s financial information can add value to the customer experience, while also providing the institution with insights into the customer’s financial status and preferences.
Getting this type of buy-in from customers is crucial — and transparency about how the data they provide will be used to enhance their experience can encourage customers to share more information. A recent article from Acquire reported that a majority of banking customers (63% of respondents) are happy to offer personal data in return for more tailored financial advice — and 40% would switch financial institutions for a more personalized service.