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E-commerce business. technology. society. Kenneth C. Laudon

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1 E-commerce business. technology. society. Kenneth C. Laudon
Sixth Edition Kenneth C. Laudon Carol Guercio Traver Copyright © 2010 Pearson Education, Inc.

2 Chapter 6 E-commerce Marketing Concepts
Copyright © 2009 Pearson Education, Inc. Copyright © 2010 Pearson Education, Inc.

3 The Internet Audience and Consumer Behavior
Broadband audience vs. dial-up audience Purchasing behavior affected by neighborhood Lifestyle and sociological impacts Use of Internet by children, teens Use of Internet as substitute for other social activities Media choices Traditional media competes with Internet for attention Copyright © 2010 Pearson Education, Inc.

4 A General Model of Consumer Behavior
Figure 6.1, Page 351 SOURCE: Adapted from Kotler and Armstrong, 2009. Copyright © 2010 Pearson Education, Inc.

5 Background Demographic Factors
Culture: broadest impact Subculture (ethnicity, age, lifestyle, geography) Social Reference groups Direct reference groups Indirect reference groups Opinion leaders (viral influencers) Lifestyle groups Psychological Psychological profiles Copyright © 2010 Pearson Education, Inc.

6 The Online Purchasing Decision
Psychographic research Combines demographic and psychological data Divides market into groups based on social class, lifestyle, and/or personality characteristics Five stages in the consumer decision process: Awareness of need Search for more information Evaluation of alternatives Actual purchase decision Post-purchase contact with firm Copyright © 2010 Pearson Education, Inc.

7 The Consumer Decision Process and Supporting Communications
Figure 6.3, Page 355 Copyright © 2010 Pearson Education, Inc.

8 A Model of Online Consumer Behavior
Decision process similar for online and offline behavior General online behavior model Consumer skills Product characteristics Attitudes toward online purchasing Perceptions about control over Web environment Web site features Clickstream behavior: transaction log for consumer from search engine to purchase Copyright © 2010 Pearson Education, Inc.

9 A Model of Online Consumer Behavior
Figure 6.4, Page 356 Copyright © 2010 Pearson Education, Inc.

10 Shoppers: Browsers and Buyers
Shoppers: 86% of Internet users 70% buyers 16% browsers (purchase offline) One-third offline retail purchases influenced by online activities Online traffic also influenced by offline brands and shopping E-commerce and traditional commerce are coupled: part of a continuum of consuming behavior Copyright © 2010 Pearson Education, Inc.

11 Online Shoppers and Buyers
Figure 6.5, Page 358 SOURCE: Based on data from eMarketer, Inc., 2009b. Copyright © 2010 Pearson Education, Inc.

12 What Consumers Buy Online
Figure 6.6, Page 361 SOURCES: Internet Retailer, 2009a; eMarketer, Inc., 2009b; authors’ estimates. Copyright © 2010 Pearson Education, Inc.

13 Intentional Acts: How Shoppers Find Vendors Online
37% use search engines 33% go directly to site 17% use comparison shopping sites 15% use product rating sites Online shoppers are highly intentional, looking for specific products, companies, services Copyright © 2010 Pearson Education, Inc.

14 SOURCES: eMarketer, Inc., 2007b; Internet Retailer, 2006.
Table 6.6, Page 362 SOURCES: eMarketer, Inc., 2007b; Internet Retailer, 2006. Copyright © 2010 Pearson Education, Inc.

15 Trust, Utility, and Opportunism in Online Markets
Two most important factors shaping decision to purchase online: Utility: Better prices, convenience, speed Trust: Asymmetry of information can lead to opportunistic behavior by sellers Sellers can develop trust by building strong reputations for honesty, fairness, delivery Copyright © 2010 Pearson Education, Inc.

16 The Revolution in Internet Marketing Technologies
Three broad impacts: Scope of marketing communications broadened Richness of marketing communications increased Information intensity of marketplace expanded Internet marketing technologies: Web transaction logs Cookies and Web bugs Databases, data warehouses, data mining Advertising networks Customer relationship management systems Copyright © 2010 Pearson Education, Inc.

17 Web Transaction Logs Built into Web server software
Record user activity at Web site WebTrends: leading log analysis tool Provides much marketing data, especially combined with: Registration forms Shopping cart database Answers questions such as: What are major patterns of interest and purchase? After home page, where do users go first? Second? Copyright © 2010 Pearson Education, Inc.

18 Cookies and Web Bugs Cookies: Web bugs:
Small text file Web sites place on visitor’s PC every time they visit, as specific pages are accessed Provide Web marketers with very quick means of identifying customer and understanding prior behavior Web bugs: Tiny (one pixel) graphic files embedded in messages and on Web sites Used to automatically transmit information about user and page being viewed to monitoring server Copyright © 2010 Pearson Education, Inc.

19 Databases Database: stores records and attributes
Database Management System (DBMS): Software used to create, maintain, and access databases SQL (Structured Query Language): Industry-standard database query and manipulation language used in a relational database Relational database: Represents data as two-dimensional tables with records organized in rows and attributes in columns; data within different tables can be flexibly related as long as the tables share a common data element Copyright © 2010 Pearson Education, Inc.

20 A Relational Database View of E-commerce Customers
Figure 6.12, Page 381 Copyright © 2010 Pearson Education, Inc.

21 Data Warehouses and Data Mining
Collects firm’s transactional and customer data in single location for offline analysis by marketers and site managers Data mining: Analytical techniques to find patterns in data, model behavior of customers, develop customer profiles Query-driven data mining Model-driven data mining Rule-based data mining Collaborative filtering Copyright © 2010 Pearson Education, Inc.

22 Data Mining and Personalization
Figure 6.13, Page 382 SOURCE: Adomavicius and Tuzhilin, 2001b ©2001 IEEE. Copyright © 2010 Pearson Education, Inc.

23 Market Entry Strategies
Figure 6.15, Page 389 Copyright © 2010 Pearson Education, Inc.

24 Net Pricing Strategies
Integral part of marketing strategy Traditionally, prices based on: Fixed cost Variable costs Market’s demand curve Price discrimination Selling products to different people and groups based on willingness to pay Copyright © 2010 Pearson Education, Inc.

25 Net Pricing Strategies
Free and freemium Can be used to build market awareness Versioning Creating multiple versions of product and selling essentially same product to different market segments at different prices Bundling Offers consumers two or more goods for one price Dynamic pricing Auctions Yield management Copyright © 2010 Pearson Education, Inc.

26 Channel Management Strategies
Channels Different methods by which goods can be distributed and sold Channel conflict When new venue for selling products or services threatens or destroys existing sales venues E.g., online airline/travel services and traditional offline travel agencies Some manufacturers are using partnership model to avoid channel conflict Copyright © 2010 Pearson Education, Inc.

27 Family Lifestyle Advert
Copyright © 2010 Pearson Education, Inc.

28 Car Advertisement Copyright © 2010 Pearson Education, Inc.

29 Marketing Communications
Online marketing communications: Methods used by online firms to communicate with consumer and create strong brand expectations Promotional sales communications: Suggest consumer “buy now” and make offers to encourage immediate purchase Branding communications: Focus on extolling differentiable benefits of consuming product or service Copyright © 2010 Pearson Education, Inc.

30 Forms of Online Advertisements
Display ads Rich media Video ads Search engine advertising In-game ads Social network, blog, and game advertising Sponsorships Referrals (affiliate relationship marketing) marketing Online catalogs Copyright © 2010 Pearson Education, Inc.

31 Behavioral Targeting Web as “Database of Intentions”
Combines real-time information on visitors online behavior with offline identity, consumptive information Data analyzed to develop profiles Ads delivered based on profile Hundreds of versions of ad for different profile groups One of fastest growing online marketing techniques Raises privacy concerns Copyright © 2010 Pearson Education, Inc.

32 Mixing Offline and Online Marketing Communications
Most successful marketing campaigns incorporate both online and offline tactics Offline marketing Drive traffic to Web sites Increase awareness and build brand equity Consumer behavior increasingly multi-channel 60% of consumers research online before buying offline Copyright © 2010 Pearson Education, Inc.

33 How Well Does Online Advertising Work?
Ultimately measured by ROI on ad campaign Highest click-through rates: search engine ads, permission campaigns Rich media, video interaction rates high Online channels compare favorably with traditional channels Most powerful marketing campaigns use multiple channels, including online, catalog, TV, radio, newspapers, stores Copyright © 2010 Pearson Education, Inc.

34 Comparative Returns on Investment
Figure 7.10, Page 467 SOURCE: Industry sources; author estimates. Copyright © 2010 Pearson Education, Inc.

35 The Costs of Online Advertising
Pricing models Barter Cost per thousand (CPM) Cost per click (CPC) Cost per action (CPA) Online revenues only Sales can be directly correlated Both online/offline revenues Offline purchases cannot always be directly related to online campaign In general, online marketing more expensive on CPM basis, but more effective Copyright © 2010 Pearson Education, Inc.

36 Web Site Functionality
Main factors in effectiveness of interface Utility Ease of use Top factors in credibility of Web sites Design look Information design/structure Information focus Organization is important for first-time users, but declines in importance Information content becomes major factor attracting further visits Copyright © 2010 Pearson Education, Inc.

37 Factors in the Credibility of Web Sites
Figure 7.12, Page 477 SOURCE: Based on data from Fogg, et al, 2003. Copyright © 2010 Pearson Education, Inc.

38 Table 7.9, Page 478 Copyright © 2010 Pearson Education, Inc.

39 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America. Copyright © 2010 Pearson Education, Inc.   Publishing as Prentice Hall Copyright © 2010 Pearson Education, Inc.


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