文档介绍：毕业论文(设计)外文翻译
A practical yet meaningful approach to customer segmentation
原文:
Introduction
There are many analytic methods for market segmentation. Demographic Segmentation is the most traditional approach to segmentation. Newer approaches have also taken into consideration buyer attitudes, motivations, patterns of usage and preferences. Companies that capture customer and purchase information use such information to analyze and market to their customer base. This practice e to be known as database marketing. In the past decade, declining costs of technology along with a desire to better understand customers and to enhance and measure marketing efforts have rapidly expanded the use of database marketing across a variety of industries. Indeed, analysis of customer and purchase information has e the foundation of database marketing practice.
A deeper understanding of customers has validated the value of focusing on them. It is now generally accepted that it costs about five times more to gain a new customer than to keep an existing one, and ten times more to get a dissatisfied customer back (Massnick, 1997). Studies across numerous industries have also shown that a five-point increase in customer retention can increase profits by more than 25 percent (Reichheld, 1996). With numbers like these, it is no wonder that database marketing is quickly ing a powerful tool for mainstream businesses. It is expected that the overall market for software and services using data mining technology will grow from approximately $ billion in 1996, to more than $8 billion by 2001 (Meta Group, 1997). Driving such rapid growth are database marketing applications such as:
• Customer retention;
• Cross-selling and up-selling;
• Campaign management;
• Market, channel, and pricing analysis; and customer segmentation analysis.
While the availability of customer purchase information has allowed marketers to develop richer, more sophisticated customer segmentation schemes, simplicit