Slide 9.1 Dave Chaffey, E-Business and E-Commerce Management, 4 th Edition, © Marketing Insights...
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Transcript of Slide 9.1 Dave Chaffey, E-Business and E-Commerce Management, 4 th Edition, © Marketing Insights...
Slide 9.1
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Customer relationship management
Slide 9.2
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Learning outcomes
• Outline different methods of acquiring customers via electronic media
• Evaluate different buyer behaviour amongst online customers
• Describe techniques for retaining customers and cross- and up-selling using new media.
Slide 9.3
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Management issues
• What are the practical success factors digital media need to make customer acquisition more effective?
• What technologies can be used to build and maintain the online relationship?
• How do we deliver superior service quality to build and maintain relationships?
Slide 9.4
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
What is CRM?
• You have a job interview for Centrica(AA, British Gas, Goldfish) working in the CRM team www.theaa.co.uk, www.house.co.uk
• How would you explain the terms:– CRM– E-CRM
• Why does Centrica have a CRM function?– Why is CRM different? – What are benefits of this approach?
Slide 9.5
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
E-CRM – a definition
• E-CRM is:
• Applying…Internet and other digital technology… (web, e-mail, wireless, iTV, databases)
• to… acquire and retain customers (through a multi-channel buying process and customer lifecycle)
• by…improving customer knowledge, targeting,service delivery and satisfaction
Slide 9.6
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Marketing applications of CRM
• A CRM system supports the following marketing applications:• Sales force automation (SFA). Sales representatives
are supported in their account management through tools to arrange and record customer visits
• Customer service management. Representatives in contact centres respond to customer requests for information by using an intranet to access databases containing information on the customer, products and previous queries
• Managing the sales process. This can be achieved through e-commerce sites, or in a B2B context by supporting sales representatives by recording the sales process (SFA)
Slide 9.7
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Marketing applications of CRM(Continued)
• Campaign management. Managing ad, direct mail, e-mail and other campaigns
• Analysis. Through technologies such as data warehouses and approaches such as data mining, which are explained further later in the chapter, customers characteristics, their purchase behaviour and campaigns can be analysed in order to optimize the marketing mix
Slide 9.8
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.1 The four classic marketing activities of customer relationship management
Slide 9.9
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.2 A summary of an effective process of online relationship building
Slide 9.10
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.3 A summary of how the Internet can impact on the buying process for anew purchaser
Slide 9.11
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.4 A model of the relationship between different aspects of trust andconsumer response based on the categories of Bart et al. (2005)
Slide 9.12
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.5 Percentage who consider the different information sources as importantwhen researching/considering a product or serviceSource: BrandNewWorld: AOL UK/Anne Molen (Cranfield School of Management)/Henley Centre, 2004
Slide 9.13
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.6 Online and offline communications techniques for e-commerce
Slide 9.14
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.7 Measures used for setting campaign objectives or assessing campaignsuccess increasing in sophistication from bottom to top
Slide 9.15
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.8 An example of effectiveness measures for an online ad campaign
Slide 9.16
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Which are the ranking factors affecting position In Google SERPs?
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• On-page optimization– Document meta data– Document content– Creation of new pages
• Off-page optimization– Link-building
• External links – ‘Links In’– ‘Backlinks’– ‘Inbound links’
• AND Internal links
• Behavioural– Popularity of sites from toolbar
• Google’s search spam filters
Slide 9.17
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Which SEO ranking factors should I focus on?
• On page optimization:• <title> tag = 4.9/5• Keyword frequency and density = 3.7/5• Keyword in headings = <h1> = 3.1, <h2> = 2.8
• Keyword in document name = 2.8• Meta name description = 2/5• Meta name keywords = 1/5
• Off-page optimization:• More backlinks (higher PageRank)= 4/5 • Link anchor text contains keyword = 4.4/5
• Page assessed as a hub = 3.5/5• Page assessed as an authority = 3.5/5• Link velocity (rate at which changes) = 3.5/5
See http://www.seomoz.org/article/search-ranking-factorshttp://docs.google.com/Present?docid=dc3qhbxg_1217d9mwjwg3
Slide 9.18
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Which factors affect returnsfrom paid search?
• Distribution of daily budget
• Amount bid (Max CPC)
• * Clickthrough rate
• * Creative quality including creative testing
• * Campaign structure
• * Match types especially negative matches
• Use of content network
• Time-of-day (day parting)
• Landing page quality
• Click fraud!
• * In Google AdWords, Live Search and Yahoo! Quality Score especially important
Slide 9.19
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.9 Search engine results page showing the two main methods for achievingvisibilitySource: Screenshot reprinted by permission of Google, Inc
Slide 9.20
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.10 Stages in producing natural search engine listings
Slide 9.21
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.11 Online PR categories and activities
Slide 9.22
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.12 The affiliate marketing model (note that the tracking software and feepayment may be managed through an independent affiliate network manager)
Slide 9.23
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.13 E-mail response figuresSource: Provided by SmartFOCUS Digital (www.smartfocusdigital.com), an e-mail service provider that send e-mails to UK and European organizations such as publishers and retailers
Slide 9.24
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.14 TopTable (www.toptable.co.uk)
Slide 9.25
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.15 Schematic of the relationship between satisfaction and loyaltySource: Adapted and reprinted by permission of Harvard Business Review from graph on p. 167 from ‘Putting the service-profit chain to work,’ by Heskett, J., Jones, T., Loveman, G.,Sasser, W. and Schlesinger, E., in Harvard Business Review, March–April 1994. Copyright © 1994 by the Harvard Business School Publishing Corporation, all rights reserved
Slide 9.26
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.16 UTalkMarketing example of a professional online communitySource: www.utalkmarketing.com, the UK’s leading community website for client side marketers
Slide 9.27
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.17 Activity segmentation of a site requiring registration
Slide 9.28
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.18 Different representations of lifetime value calculation
Slide 9.29
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.19 An example of an LTV-based segmentation plan
Slide 9.30
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.20 Customer lifecycle segmentation
Slide 9.31
Dave Chaffey, E-Business and E-Commerce Management, 4th Edition, © Marketing Insights Limited 2009
Figure 9.21 RFM analysis