User Data Collection Methods on the Web

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User Data Collection Methods on the Web

• By Carlos A. Ramírez
• Introduction to Internet Business Systems IBSN510
• Prof. Anna Story

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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.

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Principal Methods Used Online

• Monitoring
• Log files and site visits.
• Banners, Web bugs and gifs files.
• http//personal.bellsouth.net/sdf/m/n/mnxian/webbu
  gs.html

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Principal Methods Used Online

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

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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?ta
  bcatpathtypesupport and contact advantage
  (voice IP, chat, email).

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Other Methodologies

• E-surveys.
• http//www.logo.com/pinpoint/pinpoint_range/what_i
  s_esurveys/nutshell/stage1.html.
• http//www.guidestarco.com/.
• Intelligent agents
• www.Priceline.com.
• www.bn.com.

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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/

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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.

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Vocabulary

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

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Summary

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

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Summary

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