Over the past two decades the banking environment has changed almost  beyond recognition. The advent of interstate banking has opened up   virtually every region of the nation to intense competition. Mergers and   acquisitions are redrawing the banking map of America. The proliferation of   financial products offered by banks and by their nonbank rivals threatens   to overwhelm an institution's ability to distinguish itself in the   marketplace.           
These revolutionary changes have shaken many of the assumptions and  conventions that once governed banking practice. Nowhere is this phenomenon   more apparent than in marketing. The old verities that guided past   marketing strategies are showing signs of wear. Some have proved too   general to shape the precise strategies required by more competitive   environments. Others are simply inaccurate or untrue.         
  
Over the past 12 years, our group has conducted exhaustive analyses of  data on nearly eight million commercial banking relationships. Our results   suggest that several criteria commonly used for targeting or evaluating   customers - such as annual sales - are not very useful in predicting demand   for a bank's products.       
These results also reveal new criteria that will more accurately  identify the profitable consumers of banking services. By adopting and   applying these new criteria, banks can significantly increase the return on   their marketing investments and generate new and more profitable revenues.     
  
Consider annual sales as an example. A commonly held belief is that  usage of banking products is somehow proportionate to the "size" of a given   business. In fact, the data show that there is almost no correlation   between the size of a business and the loans or deposits it generates.     
One reason is that sales or revenue size is a relative concept. A  wholesaler with $10 million in annual sales can be a relatively small   business in terms of financial product usage. Another firm with exactly the   same revenues might represent several times as much business to its   bankers.       
It therefore makes little sense for banks to define marketing structures  according to current revenue classifications, with the small-business   market being defined as under $10 million in annual sales, the middle   market as between $10 million and $100 million, and so forth. A more   logical method would be to define market size on the basis of financial   product needs and uses.         
  
Standard industry codes are commonly misapplied in the marketing  equation. Knowing the industry in which a business operates may be   important in evaluating credit risk, but such codes by themselves tell a   bank little about the banking requirements of a particular business.     
Discarding such traditional markers may cause discomfort at first. But  our data show that much better markers exist. These more accurate criteria   are visible and accessible. Used properly, they promise substantial rewards   to banks willing to look for them.     
One of the most important of these criteria is founded on the concept of  "life cycle." In its simplest form, the life cycle concept allows us to   separate growing, "young" businesses from more static, "mature" businesses.   
Businesses in a growth stage typically take out 50% more loans than  those in a mature stage. Mature businesses generate nearly twice the level   of deposits as their growth stage counterparts.   
  
A second and very productive indicator is operational complexity.  Businesses with multiple locations and complex organizational structures   use considerably more fee-based services than their single-location   counterparts. Businesses on the verge of expansion are also more likely to   require multiple services.       
Duration of growth may also identify outstanding prospective customers.  Businesses that have sustained above-average growth in a geographic area   over time are also likely to require multiple financial services.   
Risk category is often a powerful indicator of use. The data indicate  that businesses in higher risk categories are likely to use significantly   higher priced types of lending (such as leasing) than customers in less   risky categories.     
Competitive positioning can often identify a particularly desirable  prospect for certain types of products. For example, businesses that hold   dominant competitive positions within their geographic area are relatively   high generators of deposit products.     
Another indicator pertains to the management attitude of the business  owner. More aggressive owners tend to be higher-volume borrowers than less   aggressive ones.   
It is worth noting that our research also challenges a critical  traditional assumption in the area of risk assessment. Though credit   officers commonly discount the risk of bankruptcy for businesses that have   survived past the third year, data show that businesses are more likely to   undergo such changes between the fifth and seventh year.       
One truth that remains intact regardless of the criteria used to  evaluate prospective customers is that an existing customer base represents   a bank's most valuable and promising marketing opportunities. The data   clearly sustain the old maxim that a bank's best customers are the ones it   already has. Existing customers always deserve priority attention.       
Our research has documented the following related conclusions in regard  to existing customers: 
*The longer a business has been with a bank, the higher its balances and  uses of multiple products. 
*The higher a bank's share of customer wallet, the more significant its  profit. (On average, most banks have less than a 40% share of the   customer's total balances.)   
*Customers with both commercial and retail accounts at a given bank are,  on the average, 40% more profitable than those with commercial accounts   only.   
*Businesses that use three or more products at a given bank are five to  10 times more profitable than the average commercial customer, which uses   less than two.   
How reliable are these conclusions? Very. The data for the evaluations  have been distilled from a central proprietary data base that merges   information from more than 60 government and private sources. The research   has incorporated data regarding approximately 70% of all commercial banking   relationships in the United States. Conclusions have been reached through   advanced analytic and modeling techniques that include powerful new   developments in artificial intelligence and neural networks. The results   continue to be reaffirmed by new data every day.             
While our results invalidate some parts of banking's traditional wisdom  and confirm others, they represent good news for bank marketing   professionals. The identification and confirmation of accurate indicators   by empirical analysis offers marketing managers a new and more solid   foundation for their efforts.       
Bank managers may now devise and deploy new market segmentation and  targeting strategies that will dramatically increase marketing   effectiveness. Commercial lenders can now allocate marketing resources more   accurately than ever before.     
And that's important. Effective marketing is one of the principal  contributors to institutional survival. Financial institutions currently   compete more directly and aggressively than ever before, across larger and   more diversified franchises.     
If marketing professionals can target new business opportunities more  quickly and accurately than their rivals, they and their institutions will   prosper. If they lag behind, their organizations will soon be absorbed by   their more resourceful rivals.     
Mr. Brundage is executive vice president of Oxxford Information  Technology Ltd., a bank marketing consulting firm based in New York.