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User Data Collection Methods on the Web

User Data Collection Methods on the Web. By Carlos A. Ramírez Introduction to Internet Business Systems IBSN510 Prof. Anna Story. Introduction . Why internet user data collection? Internet marketing. Customer relationship management. Personalization. Is ethical to collect data on the web?

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User Data Collection Methods on the Web

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  1. User Data Collection Methods on the Web By Carlos A. Ramírez Introduction to Internet Business Systems IBSN510 Prof. Anna Story

  2. Introduction • Why internet user data collection? • Internet marketing. • Customer relationship management. • Personalization. • Is ethical to collect data on the web? • Data collection while user navigates the web. • Internet and privacy.

  3. Principal Methods Used Online • Monitoring: • Log files and site visits. • Banners, Web bugs and gifs files. • http://personal.bellsouth.net/sdf/m/n/mnxian/webbugs.html

  4. Principal Methods Used Online • Data mining and statistics: • Finding patterns and statistics and Segmentation. • Improving marketing and CRM http://www.webtrends.com/reports/reports.asp? • Customer registration. • www.Expedia.com • www.excite.com • Cookies. • http://www.uwyo.edu/comm/WILTSE/3530/cookies.htm • www.yahoo.com

  5. Other Methodologies • Personalization. • www.amazon.com. • www.bn.com. • Call centers: • Call center house, 800 numbers. • E-contact center. • http://www.3com.com/products/en_US/prodlist.jsp?tab=cat&pathtype=support and contact advantage (voice IP, chat, email).

  6. Other Methodologies • E-surveys. • http://www.logo.com/pinpoint/pinpoint_range/what_is_esurveys/nutshell/stage1.html. • http://www.guidestarco.com/. • Intelligent agents: • www.Priceline.com. • www.bn.com.

  7. Overview • Data collection on the web is a fact. • Shall we allow track devices to keep records of our visits and movements on the internet? • Who can rule over privacy on the web? • http://www.privacyfoundation.org/

  8. Overview • Competition for getting information have no boundaries? • Measure effectiveness of advertisement. • International legal issues and privacy. • Europe, • South America, • Asia.

  9. Overview • Information is power. • Customer information as a value. • www.bah.com/viewpoints/insights/cmt_clv_2.html.

  10. Vocabulary • Log file. • Web bugs and GIF files. • Data mining. • Intelligent agents. • Cookies. • E-surveys.

  11. Summary • User Data Collection on the web for Marketing, Customer Relationship Management, Personalization, etc. • Methodologies used: • Monitoring: Log files, Web bugs and GIF’s in email. • Data Mining and Statistical Reports. • Customer Registration, User ID and Password. • Cookies, storing text files in User PC for tracking and reference.

  12. Summary • Personalization and customization. • Call centers and e-call centers. • E-surveys, internally and externally. • Intelligent agents and customizing the online experience. • Thank you.

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