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100 Gibson<br />
delivers 80 percent of the revenues. This is called the “80/20 Pareto Principle.” In<br />
addition, the top 20 percent of the customers deliver most of the profits. Moreover,<br />
the existing customers deliver up to 90 percent of revenues. All of these figures show<br />
that customer satisfaction and loyalty should be of utmost importance to every<br />
business (Curry, 2000).<br />
The database technology enables the online customer agents to acquire<br />
information about their customers in order to provide them a better and personalized<br />
service. Any type of information gathering whether it is from a simple shopping<br />
list for a collection of customer information is considered a customer database as<br />
long as it is computerized. This technology stores the information about the<br />
customers such as their transactions, interactions, profiles and purchase histories in<br />
order to provide them personalized customer service on the <strong>net</strong>. Data Warehousing<br />
and Data Mining are the two major technologies that are used in Customer<br />
Relationship Management that enable the online customer service agents to provide<br />
a better service to their customers (Coronel, 2000).<br />
Data Warehouses were developed as data storage facilities. These data<br />
warehouses receive data from the operational databases as well as other sources<br />
in order to provide a comprehensive data pool from which information can be<br />
selected. The most crucial aspect of data warehouses is that the data that is stored<br />
in structures is able to generate specific information (Gardner, 1998).<br />
Data mining is the process where the marketer tries to find trends and patterns<br />
in huge amounts of data. The goal of this process is to search through large quantities<br />
of data and discover new information that can be useful for the company. “The<br />
benefit of data mining is to turn this newfound knowledge into actionable results,<br />
such as increasing a customer’s likelihood to buy” (Groth, 2000). Data mining also<br />
enables the company access to detailed knowledge of customer profiles, and the<br />
ability to analyze customer satisfaction.<br />
There are also some essential components of online customer service that have<br />
to be in place regardless of the business. The website has to provide simple<br />
navigation, fast image download times, and fast access to information. The human<br />
aspect should also be of utmost importance such as quick e-mail responses, and<br />
toll-<strong>free</strong> phone numbers for customer service. Furthermore, the product information<br />
has to be detailed on the website, such as the descriptions, specifications,<br />
pricing, FAQs, smart shopping carts, and cross-purchasing suggestions. Another<br />
crucia1 component is the issue of incentives such as gift-wrapping, promotions,<br />
money-back and on-time delivery guarantees, and offers of <strong>free</strong> shipping and<br />
handling. Moreover, a trust has to be built between the site and the customer. This<br />
can be achieved by placing the explanations regarding the secure transactions, and<br />
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