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Online User Profiling/ E-Commerce

I need help with the following:

- Describe the characteristics used to identify and profile online users and how those characteristics differ from descriptions of traditional consumers using physical and personal traits.
- Discuss the role of computer-mediated applications in digital consumer behavior, such as digital consumer decision support systems (CDSSs), intelligent agents, and how they result in different patterns of interaction than for traditional consumer engagement in the physical marketplace.
- Discuss how the e-business's digital customer behaviour for online services overlaps with the traditional customer behavior approach for services provided in physical interpersonal settings.

Solution Preview

Companies, organizations, and social media sites use characteristics to identify and profile online users. Google Analytics (google.com/analytics/) is the market leader for gathering information about users. It supplies website owners with information including where the customer was directed from (originating network), city, state, country of user, and previous visits. It also allows a company to build their own metrics dashboard based on the information they are interested in, such as clothing size, price preferences, or areas of interest. Google Analytics provides dashboards with key performance indicators to judge customer's behavior, and also drills down the information to visualize the path visitors take through the company's website. Online companies frequently offer customers a chance to sign in to request more information or be put on mailing lists. This information includes the customer's name, address, email, date of birth, and often more information. This is different information than you would typically have from a traditional ...

Solution Summary

This solution describes the characteristics used to identify and profile online users and how those characteristics differ from descriptions of traditional consumers using physical and personal traits. It also discusses the role of computer-mediated applications in digital consumer behavior, such as digital consumer decision support systems (CDSSs), intelligent agents, and how they result in different patterns of interaction than for traditional consumer engagement in the physical marketplace. In addition, it discusses how the e-business's digital customer behaviour for online services overlaps with the traditional customer behavior approach for services provided in physical interpersonal settings. Examples and APA references are included.

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