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9781555582654

WebMining for Profit : E-Business Optimization

by
  • ISBN13:

    9781555582654

  • ISBN10:

    1555582656

  • Format: Paperback
  • Copyright: 2001-09-12
  • Publisher: Elsevier Science
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Summary

WebMining for Profitability provides a central reference to the components, issues, techniques and technologies for aggregating, enhancing, mining, and leveraging web data for personalization and profitability. This is the only book that provides guidance for categorizing the dozens of personalization products and services in the market or assessing their effectiveness. The book has a companion website that will be continuously updated. The site will enable readers to chat, mail sections to colleagues, and register for a newsletter on new profitability products, services, upgrades, announcements, and profitability case studies. This is a powerful manual for e-businesses on how to achieve profitability by leveraging web analytic tools, techniques, services, and strategies.

Table of Contents

Preface xi
Acknowledgments xiii
Introduction
1(18)
Marketing technology
7(1)
The e-business as profiler
8(1)
Every move they make
9(1)
The marketing technology marketplace
10(3)
Selecting your solution
13(1)
Rules rule
14(1)
An evolving technology
15(1)
What doesn't work
15(1)
Getting to know you
16(1)
Web mining
16(1)
The salesperson as an AI
17(1)
Privacy for value
17(2)
Web Data Components
19(14)
Design your data
20(2)
Log files
22(3)
Cookies
25(2)
Web bugs
27(2)
Forms
29(1)
Clickstream data
30(3)
Offline Demographics
33(24)
Offline demographics for online marketing
35(12)
Matching level of external data
47(2)
Firmographics for business-to-business applications
49(1)
Data preparation and cleansing service providers
50(3)
New service products
53(4)
Log Analyzers and Packet Sniffers
57(20)
Log analyzers
57(10)
Limitations of log analyzers
67(1)
Packet sniffers
67(8)
Questionable results
75(2)
Collaborative Filtering Software
77(12)
Collaborative filtering technology
77(10)
Limitations of collaborative filtering technology
87(2)
Data-Mining Suites
89(22)
Data-mining formats
89(5)
Text mining
94(2)
The suites
96(15)
Webhouses
111(16)
What they are and how they work
111(14)
Summary
125(2)
Web Ad Networks
127(20)
What they are and how they work
127(14)
The problems with ad networks
141(2)
The future of ad networks
143(4)
E-Mail Managers
147(18)
Engaging e-mail
147(2)
Data mining and e-mail
149(1)
E-mail managers: what they are and how they work
150(1)
E-mail service providers: who does what
151(2)
E-mail marketing system providers
153(8)
Selecting an e-mail manager: a checklist
161(1)
Beware of the killer app
162(3)
E-Commerce Suites
165(14)
E-commerce suite providers
167(10)
The online storefront
177(2)
eCRM (Electronic Customer Relationship Management) Systems
179(16)
eCRM providers
180(5)
Other eCRMs
185(7)
eCRMs and ROI
192(3)
Personalization Applications Service Providers (ASPs)
195(14)
Data-mining and personalization ASPs I
196(9)
Renting personalized service
205(1)
Selecting your ASP
206(3)
Personalization, Profitability, and Privacy
209(6)
Opt-in versus opt-out
210(1)
Privacy legislation
211(1)
Illegal bugs
212(1)
Be privacy compliant now
213(2)
A Personalization Case Study
215(20)
Getting to know your customers
215(1)
Who buys air conditioners online?
216(7)
Propensity to purchase offers
223(4)
Online marketing via offline catalogs
227(1)
Dynamic scoring
227(1)
Customer profiles
228(1)
Selling suits online
229(3)
Customer online service
232(1)
It's service not software
233(2)
Appendix 235(6)
Index 241

Supplemental Materials

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