Statistical Analyses

The role of database is to help select names for modeling, implement the results of the modeling process by scoring names and assigning them to the appropriate decile, and selecting names by decile and other criteria for marketing programs. Most companies use statistical analysis for two principal reasons: a) segmentation, and b) predictive modeling.

Segmentation techniques are used to identify and profile groups of customers whose characteristics are similar. If the objective is to segment customers based on their performance, then the procedure is to group people according to their performance characteristics and then develop profiles of each performance group. Typical segmentation variables are performance measures such as recency, frequency, and monetary value of purchases; types of products purchased; or types of promotions responded to.

By linking this data with customer performance data, marketers can analyze who buys what and use the profiles of customers in each segment as a means of finding other customers like them.

Once the segments have been created, individual customers will be assigned to segments and these assignments will be recorded in the database. This makes subsequent selection of individuals for promotion based on the segmentation criteria relatively simple.

Predictive Modeling, based on previous purchase history, based on recency, frequency, and monetary value, models can be developed to predict who is most likely and least likely to purchase at the next opportunity. This scoring model would be used to determine who should be promoted and what they should be promoted with.

Once scoring models have been executed and customers assigned to deciles, this information is recorded in the database so that subsequent selection of customers who have the highest probability of responding to a promotion is easily accomplished.

End users would use a selection menu in which they would indicate which scoring model they wish to use and either a specific cutoff score or a desired number of names to select. The database would then perform the selection and produce an output file to the specific medium. This would either be a file, a magnetic tape, or mailing labels. A file could either be used for further analysis, or in many cases, the file could be combined with a patterned letter file to produce personalized mailings.

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The Changing Face of Customer Service

Excellent customer service—the daily, ongoing support of a company’s offerings—is critical in creating brand identity and ultimate success. It includes answering questions, taking orders, dealing with billing issues, handling complaints, scheduling appointments, and similar activities. These essential functions can make or break an organization’s relationships with its customers. The quality of customer care can significantly impact brand identity for service, manufacturing, and consumer products companies. Because of its importance in creating impressions and sustaining customer relationships, customer service has sometimes been called the “front door” of the organization or its “face.”


So how has the “face” of customer service changed with the influx of technology? Long ago all customer service was provided face-to-face through direct personal interaction between employees and customers. To get service you had to visit stores or service providers in person. The telephone changed this, allowing customers to call companies and speak directly with employees. Customer service became less personal, but without a doubt more efficient, through use of the telephone. With the evolution of computer technology, customer service representatives (CSRs) became even more efficient. Through computer information systems and customer data files, CSRs are able to call up customer records at their workstations to answer questions on the spot.


Over time, because communication and computer technologies allowed it, large organizations began to centralize their customer service functions, consolidating into a few large call centers that could be located anywhere in the country or world. But still, in these types of call centers, customer service is for the most part an international event with customers talking directly, one-on-one with an employee.


The advent and rapid proliferation of the efficient, but much maligned, automated voice response systems have changed personal customer service in many organizations into menu-driven, automated exchanges. In almost every industry and any business context consumers encounter these types of systems, and many are quite frustrating—for example, when a system has a long confusing set of menu options or when no menu options seems to fit the purpose of the call. Similarly, consumers become angered when they cannot get out of the automated system easily, or when there is no option to speak to a live person.


Some companies have overcome these obstacles, however, and have well-designed automated telephone systems that work well for customers. This is accomplished through a form of natural-language speech recognition technology that allows customers to easily interact through the telephone in ways that are much like talking to a real person. Further, a human contact is always easy to get to if needed. Customer satisfaction is rated among the highest in any industry. One of the keys may be that the vice president of retail voice technology occupies a senior management position, showing importance placed on this function. In general, satisfaction levels for automated speech recognition systems are higher than satisfaction with touch-tone systems and in some cases are higher than for live agents.


Beyond automated telecom systems, explosion of the internet is also dramatically changing customer service for many companies. Service can now be provided on the internet via e-mail, website robots, FAQs, and online chat. In these cases there is no direct human interaction, and customers actually perform their own service. At Ford Motor Company’s technology that allows dealership customers to set their own service appointments, send messages regarding their specific repair needs, and monitor the status of their vehicles, all online.


With the relentless proliferation of technology solutions, firms are finding that expectations for customer service have changed. Customers are demanding choices in how they get customer service, whether it be over the phone, automated voice systems, via fax or email, or through internet self-service. However, while customers often enjoy technology-based service and even demand it in many cases, they dislike it when it doesn’t work reliably (a common problem), when it doesn’t seem to have any advantages over the interpersonal service alternatives, and when there are no systems in place to recover from failures. Interestingly, when things don’t work as they are supposed to on an internet site or through an automated response system, customers are quick to look for more traditional interpersonal (in person or via telephone) options, coming full circle to where we started.


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