Banks Need To Reassess Cross-Selling Efforts

For decades, cross-selling has been a strategic priority of banks and credit unions since earning more business from current customers is the most efficient way to achieve growth. Despite this focus, a new study indicates that many financial institutions may be far from realizing the full potential of cross-selling.

In fact, according to the study, only 19 percent of retail bank customers owned three or more products in addition to a checking account with their primary bank compared to 49 percent who have three or more products with other financial institutions.

A just released Deloitte report entitled, 'Kicking It Up a Notch: Taking Retail Bank Cross-Selling to the Next Level' supports the view that success in cross-selling targeting may need to move beyond traditional product ownership, satisfaction and tenure parameters to include a behavior segmentation approach that takes into account perceptions based on total account holdings. 

While the Deloitte survey shows that banks have generally achieved long tenure and a high degree of satisfaction with customers, this success has not translated into multiple product relationships. In fact, the study found that there is a positive correlation between the number of products a customer uses and their desire to use multiple institutions.

Source: Deloitte Center for Financial Services

According to the study, customers only turned to their primary financial institution for a savings account on a consistent basis. In fact, while 75 percent of respondents owned credit cards, only 33 percent had one that was issued by their primary bank. Obviously, this could be the result of an inferior offer, poor marketing and/or the absence of a primary bank offered credit card, but it still illustrates a major opportunity gap.

Some of the other 'opportunity gaps' may be caused by poor cross-selling at the time of account initiation, poor customer education on the benefits of relationship consolidation or even beliefs that a primary bank is not the best place to build a specific relationship (wealth management or insurance products).

Source: Deloitte Center for Financial Services

Demographics No Longer Effective For Financial Direct Marketing

Bank and credit union marketers have traditionally relied on the use of demographic segmentation as a means of targeting customers for product and service communication. 

Recent studies, however, provide growing evidence that changes in product delivery, communication channels and competition may have made a demographic-based targeting approach much less effective compared to other approaches that use additional data sources.

Marketing segmentation is one of the most widely used marketing tools and has long played a crucial role in identifying and treating differences among customers. For decades, bank and credit union marketers have used demographic segmentation for product development, product positioning, marketing communication and results measurement. Traditionally, this segmentation has been done based on characteristics such as age, income, gender, family life stage, occupation, education, race, etc.

The reason for using demographic segmentation is that it is relatively easy to use for most financial institutions due to relatively accessible customer databases and because this form of segmentation is continuously referenced by both academic and trade literature. While it is still true that there are differences in the use of financial services across demographic segments, however, research as far back as the 1960s has suggested that demographic variables are only remote proxies for differences in buying styles, decision processes or sensitivity to promotional influences (A Two Dimensional Concept of Brand Loyalty).

A more recent research paper in the Journal of Financial Services Marketing entitled, Suboptimal Segmentation: Assessing The Use of Demographics In Financial Services Advertising found that there is little support for the reliance on demographic variables for bank marketing. Despite continuing popularity, the research found that while demographics can explain broad behaviors, they play a weak role in explaining brand preference, product purchasing, innovation adoption, channel use and technology uptake.