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Slide 1of 43 Electronic Customer Relationship Management E-CRM Electronic Customer Relationship Management E-CRM.

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Presentation on theme: "Slide 1of 43 Electronic Customer Relationship Management E-CRM Electronic Customer Relationship Management E-CRM."— Presentation transcript:

1 Slide 1of 43 Electronic Customer Relationship Management E-CRM Electronic Customer Relationship Management E-CRM

2 Slide 2of 43 1.New type of Customers & firms 2.Digital Firms and globalization 3.IS and researches 4.IT managers Introduction

3 Slide 3of 43 Introduction Today’s Customers Are sophisticated. Are price sensitive. Are demanding. Live time-compressed lives. Want their needs met. Want their products fast with greater convenience. Have unprecedented control.

4 Slide 4of 43 Introduction Today’s companies are: Are digital companies. Flatten (less hierarchy). Location Independent. Decentralization. Flexibility. Low transaction and coordinating cost. Using strong IT infrastructure ( Enterprise software, hardware, Internet, LAN,WAN etc....).

5 Slide 5of 43 Introduction Why the Need for Satisfied Customers n Cost up five to six times more to get new customers. n They buy more. n Take less time. n Bring in new customers. n Less price sensitive. n Great advertisers. n May be able to charge 10 percent more than competitors. n Dissatisfied customers tell others, as many as 20 others about there experience.

6 Slide 6of 43 Introduction Why the Need for Satisfied Customers FedEx promises customers to “absolutely, positively” get your package to its destination on time, and it delivers on its promise.

7 Slide 7of 43 Are you getting new customers? Are good customers leaving? What are you doing to keep customers loyal? Measuring Customer Satisfaction Response time, this should be targeted from 24 to 48 hours at most. Security and privacy, (secure payments, information). Return Policy, this will increase customer trust and loyalty. Ease return products of service will make customer more satisfaction. Navigability, Easy to navigate the firm Web site Quality assurance, every think must work properly

8 Slide 8of 43 Learning about Consumer Behavior Online Source : Temking 2002 Reasons for not making purchases

9 Slide 9of 43 Learning about Consumer Behavior Online Model of consumer behavior online Social variables—people are influenced by: Family members, friends, co-workers, “what’s in fashion this year” Cultural/community variables—where the consumer lives Other environmental variables: Available information, government regulations, legal constraints, situational factors

10 Slide 10of 43 Consumer Behavior Online

11 Slide 11of 43 Consumer Decision Making Process Roles people play in the decision making process Initiator Influencer Decider Buyer User The person who suggests buying a particular product of services The person whose advise carries some weight in making a final purchasing decision. The person who makes the buying decision The person who makes the actual purchase. The person who uses the product or service.

12 Slide 12of 43 Consumer Decision Model In WEB Purchasing 5 phases of the generic purchase decision model:

13 Slide 13of 43 Consumer Decision Making Process 1 Need Recognition 1 Need Recognition 2 Information Search 2 Information Search 3 Evaluation of Alternatives 3 Evaluation of Alternatives 4 Purchase 4 Purchase 5 Purchase Outcome 5 Purchase Outcome

14 Slide 14of 43 One-to-One Marketing and Personalization in EC One-to-one marketing: Marketing that treats each customer in a unique way Personalization—the matching of services, products, and advertising content to individual consumer

15 Slide 15of 43 One-to-One Marketing and Personalization in EC

16 Slide 16of 43 Market segmentation: The process of dividing a consumer market into logical groups for conducting marketing research, advertising, and sales Market research tools data mining data warehousing Market segmentation

17 Slide 17of 43 Tools for Gathering info. Web bugs: Tiny graphics files embedded on e-mail messages and in Web sites that transmit information about the user and their movements to a Web server Spyware: Software that gathers user information, through an Internet connection, without the user’s knowledge

18 Slide 18of 43 Company-Side Tools (push)Description CookiesCookies are small files written to the user’s hard drive after visiting a Web site. When the user returns to the site, the company’s server looks for the cookie file and uses it to personalize the site. Web log analysisEvery time a user accesses a Web site, the visit is recorded in the Web server’s log file. This file keeps track of which pages the user visits, how long he stays, and whether he purchases or not. Data miningData mining involves the extraction of hidden predictive information in large databases through statistical analysis. Real-time profilingReal-time profiling occurs when special software tracks a user’s movements through a Web site, then compiles and reports on the data at a moment’s notice. Collaborative filteringCollaborative filtering software gathers opinions of like-minded users and returns those opinions to the individual in real-time. Tools for Gathering info.

19 Slide 19of 43 MyPoints Rewards Members for Time Spent Online Source: www.mypoints.com www.mypoints.com

20 Slide 20of 43 Learning about Consumer Behavior Online Source: WebTrends product. (www.webtrends.com)

21 Slide 21of 43 Example analysis from a WebTrends (www.webtrends.com Consumer Behavior Online

22 Slide 22of 43 American Airlines Offers Personalized Web Sites American Airlines (aa.com) unveiled a the most advanced personalized, one-to-one interactions and transactions on its Web site in 1998 Intelligent agents enable the generation of personalized Web pages for each of its 1 million registered, travel-planning customers Broadvision’s application dynamically matches customer profiles to a database Output of the matching process triggers the creation of a real-time customized Web page

23 Slide 23of 43 The use of intelligent-agent technology built a considerable edge over AA’s competitors Personalizing Web pages is becoming more important in: –Increasing customer loyalty –Cementing relationships with customers –Fostering the community of AA frequent flyers American Airlines Offers Personalized Web Sites

24 Slide 24of 43 Market Research for EC Process of gathering and analyzing information related to customers, and markets. Tools: –Observations –Surveys –Experiments –Interviews

25 Slide 25of 43 Market Research for EC (cont.) Aim of marketing research is to: discover marketing opportunities and issues establish marketing plans better understand the purchasing process evaluate marketing performance develop advertising strategy

26 Slide 26of 43 Market Research for EC (cont.) Limitations of online market research 1. There may be too much data available. 2. Responses may be inaccurate. 3. Technical problems may cause a loss of respondents. 4. There are ethical and legal considerations. 5. It is difficult to build representative samples

27 Slide 27of 43 CRM and Its Relationship with EC Customer relationship management (CRM): A customer service approach that focuses on building long-term and sustainable customer relationships that add value both for the customer and the company eCRM: Customer relationship management conducted electronically

28 Slide 28of 43 The goals of CRM Using existing relationships to grow revenue Using integrated information for excellent service Introducing consistent, replicable channel processes and procedures

29 Slide 29of 43 Managing the customer life cycle: the three phases of CRM Acquiring new customers Enhancing the profitability of existing customers Retaining profitable customers for life AcquireEnhanceRetain It costs six times more to sell to a new customer than to sell to an existing one, (Ravi k. et al, 2001)

30 Slide 30of 43 CRM Applications and Tools: Delivering Customer Service in Cyberspace CRM applications improve upon traditional customer service by means of easier communications and speedier resolution of customer problems Customer service adds value to products and services It is an integral part of a successful business

31 Slide 31of 43 CRM Applications and Tools (cont.) Classifications of CRM applications Customer-facing applications Customer-touching applications Customer-centric intelligence applications Data warehouse Data mining: Data mining: involves sifting through an immense amount of data to discover previously unknown patterns Auto responders: Automated e-mail reply systems (text files returned via e-mail), which provide answers to commonly asked questions Sales force automation (SFA): Software that automates the tasks performed by sales people in the field, such as data collection and its transmission

32 Slide 32of 43 CRM Applications

33 Slide 33of 43 CRM Applications- Databases Transactions tasks: This should include a complete purchase history with associated information such as: price paid, quantities, discounts, addresses, sales person, delivery date etc. Customer communications: Including sales calls, services requests or any customer links with the company. Descriptive information: For the sake of segmentation and data analysis purposes. Customers’ responses to marketing motivation. This information should contain the customer responded to a direct marketing program, a sales contact, or any other direct contact. The data must be updated and corrected when needed. An ideal database should contains the following information

34 Slide 34of 43 CRM Applications and Tools (cont.)

35 Slide 35of 43 CRM Applications and Tools (cont.)

36 Slide 36of 43 CRM Applications and Tools (cont.)

37 Slide 37of 43 CRM Applications and Tools (cont.)

38 Slide 38of 43 CRM Model from managerial and marketing perspective, Own Model.

39 Slide 39of 43 References: Business Today, Ninth Edition, Mescon, Bovee Thill, Prentice Hall Publishers Deitel, 2004, “E-business and e-commerce for managers”, Prentice hall. Example analysis from a WebTrends (www.webtrends.com MyPoints Rewards Members for Time Spent Online, : www.mypoints.comwww.mypoints.com Ravi k. et al, 2001, e-Business Roadmap for success, 2 nd edition, Prentice hall. Turban E. et al, 2004, “ electronic commerce a managerial perspective”, Prentice hall Terri c. et al, 2003, “E-business marketing:”,prentice hall, 2003 TRUSTe Builds User Trust : www.truste.orgwww.truste.org WebTrends product. (www.webtrends.com)www.webtrends.com http://www.emeraldinsight.com/rpsv/cgi-bin/linker?ext=i&ref=1080120308-23 http://docserver.emeraldinsight.com/deliver/cw/mcb/14637154/v9 n5/s2/p572.htm? http://docserver.emeraldinsight.com/deliver/cw/mcb/14637154/v9 n5/s2/p572.htm www.prenhall.com/turban http://www.emeraldinsight.com/rpsv/cgi- bin/linker?ext=i&ref=1080120308-21 http://www.emeraldinsight.com/rpsv/cgi- bin/linker?ext=i&ref=1080120308-21


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