CRM: - PowerPoint PPT Presentation

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CRM:

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CRM: – PowerPoint PPT presentation

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Title: CRM:


1
Customer Relationship Management
  • CRM
  • Part of Chapter 4

2
Electronic Business Scope
????
B2C EC
????
KM
SCM
ERP
CRM
Supplier
Customer
BI
B2B EC
3
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

4
Why CRM ?
Twice the normal turnover
50 profit reduction
Profit
Customer segments
Source Manhattan Consulting Group
5
Customer Relationship
Focal Company
Customer
Channel
Focal Company
Customer
Channel
Salesmen
Focal Company
Customer
6
Changes in Relationship
7
CRM and Its Relationship with EC (cont.)
  • Classification of CRM programs
  • Loyalty program
  • Prospecting
  • Save or win back
  • Cross-sell/up-sell
  • eCRM Customer relationship management conducted
    electronically

8
CRM and Its Relationship with EC (cont.)
  • Scope of CRM
  • Foundation of service
  • Customer-centered services
  • Value-added services

CRM
9
CRM and Its Relationship with EC (cont.)
  • Extent of service
  • Customer acquisition (prepurchase support)
  • Customer support during purchase
  • Customer fulfillment (purchase dispatch)
  • Customer continuance support (postpurchase)

10
Components of CRM
  • Customer and Product centric services
  • Differential Marketing
  • Mass marketing
  • Focused marketing
  • One-to-one marketing
  • Customers are not born equal

Sales Managment
Marketing Management
Customer Management
Database Marketing
Service Management
11
CRM and Its Relationship with EC (cont.)
  • Benefits of CRM
  • Provides
  • choices of products and services
  • fast problem resolution and response
  • easy and quick access to information
  • Limitations of CRM
  • Requires integration with a companys other
    information systems which is costly
  • Difficult to support mobile employees

12
CRM and Its Relationship with EC (cont.)
  • CRM implementation issues
  • Steps in building EC strategy focused on
    customer
  • focus on the end customer
  • systems and business processes that are designed
    for ease of use and from the end customers point
    of view
  • efforts to foster customer loyalty

13
CRM and Its Relationship with EC (cont.)
  • Five factors required to implement a CRM program
    effectively
  • Customer-centric strategy
  • Commitments from people
  • Improved or redesigned processes
  • Software technology
  • Infrastructure

14
CRM and Its Relationship with EC (cont.)
  • Justifying customer service and CRM programs
  • Metrics Standards of performance may be
    quantitative or qualitative

15
CRM and Its Relationship with EC (cont.)
  • Web-related metrics a company uses to determine
    the appropriate level of customer support
  • Response time
  • Site availability
  • Download time
  • Timeliness
  • Security and privacy
  • On-time order fulfillment
  • Return policy
  • Navigability

16
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

17
CRM Applications and Tools (cont.)
  • Classifications of CRM applications
  • Customer-facing applications
  • Customer-touching applications
  • Customer-centric intelligence applications
  • Online networking and other applications

18
Formation of CRM
19
CRM Applications and Tools (cont.)
  • Customer-facing applications
  • Customer interaction center (CIC) A
    comprehensive service entity in which EC vendors
    address customer service issues communicated
    through various contact channels
  • Intelligent agents in customer service and call
    centers

20
CRM Applications and Tools (cont.)
21
CRM Applications and Tools (cont.)
22
CRM Applications and Tools (cont.)
  • Autoresponders 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

23
CRM Applications and Tools (cont.)
  • Customer-touching applications
  • Personalized Web Pages
  • E-Commerce Applications
  • Campaign Management

24
CRM Applications and Tools (cont.)
  • Web Self-Service
  • Activities conducted by users on the Web to
    provide answers to their questions (e.g.,
    tracking) or for product configuration
  • Self-tracking
  • Self-configuration and customization

25
CRM Applications and Tools (cont.)
  • Customer-centric applications
  • Data reports
  • Data warehouse
  • A single, server-based data repository that
    allows centralized analysis, security, and
    control over the data

26
CRM Applications and Tools (cont.)
  • Data analysis and mining
  • Analytic applications automate the processing and
    analysis of CRM data
  • can be used to analyze the performance,
    efficiency, and effectiveness of an operations
    CRM applications
  • Data mining involves sifting through an immense
    amount of data to discover previously unknown
    patterns

27
CRM Applications and Tools (cont.)
  • Online networking and other applications
  • Forums
  • Chat rooms
  • Usenet groups
  • E-mail newsletters
  • Discussion lists

28
CRM Applications and Tools (cont.)
  • Mobile CRM
  • the delivery of CRM applications to any user,
    whenever and wherever needed
  • Voice communication
  • people are more comfortable talking with a
    person, even a virtual one, than they are
    interacting with machines. The smile and the
    clear pronunciation of the agents voice
    increases shoppers confidence and trust

29
CRM Applications and Tools (cont.)
30
CRM Applications and Tools (cont.)
  • Role of knowledge management and intelligent
    agents in CRM
  • Automating inquiry routing and answering queries
    requires knowledge
  • Generated from historical data and from human
    expertise and stored in knowledge bases for use
    whenever needed
  • Intelligent agents support the mechanics of
    inquiry routing, autoresponders, and so on

31
Internet Marketing in B2B
  • Organizational buyer behavior
  • number of organizational buyers is much smaller
    than the number of individual buyers
  • transaction volumes are far larger
  • terms of negotiations and purchasing are more
    complex

32
Internet Marketing in B2B (cont.)
33
Internet Marketing in B2B (cont.)
  • Methods for B2B online marketing
  • Targeting customers
  • contact all of its targeted customers
    individually when they are part of a well-defined
    group
  • affiliation service
  • advertising
  • Electronic wholesalers
  • intermediary sells directly to businesses, but
    does so exclusively online

34
Internet Marketing in B2B (cont.)
  • Affiliate programs
  • Placing banners on another vendors Web site
  • Content alliance program in which content is
    exchanged so that all can obtain some free
    content
  • Infomediaries
  • Online data mining services

35
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
    consumers
  • User profile The requirements, preferences,
    behaviors, and demographic traits of a particular
    customer

36
One-to-One Marketing and Personalization in EC
(cont.)
37
One-to-One Marketing and Personalization in EC
(cont.)
  • Major strategies used to compile user profiles
  • Solicit information directly from the user
  • Observe what people are doing online
  • Build from previous purchase patterns
  • Perform marketing research

38
One-to-One Marketing and Personalization in EC
(cont.)
  • Cookie A data file that is placed on a users
    hard drive by a Web server, frequently without
    disclosure or the users consent, that collects
    information about the users activities at a site

39
One-to-One Marketing and Personalization in EC
(cont.)
  • Collaborative filtering A personalization method
    that uses customer data to predict, based on
    formulas derived from behavioral sciences, what
    other products or services a customer may enjoy
    predictions can be extended to other customers
    with similar profiles

40
One-to-One Marketing and Personalization in EC
(cont.)
  • Variations of collaborative filtering
  • Rule-based filtering
  • Content-based filtering
  • Activity-based filtering
  • Legal and ethical issues in collaborative
    filtering
  • Invasion-of-privacy issues
  • Permission-based personalization tools to request
    customer permission

41
One-to-One Marketing and Personalization in EC
(cont.)
  • Customer loyalty
  • Customer loyalty Degree to which a customer will
    stay with a specific vendor or brand
  • Increased customer loyalty produces cost savings
    through
  • lower marketing costs
  • lower transaction costs
  • lower customer turnover expenses
  • lower failure costs
  • E-loyalty Customer loyalty to an e-tailer

42
One-to-One Marketing and Personalization in EC
(cont.)
  • Trust in EC
  • Trust The psychological status of involved
    parties who are willing to pursue further
    interaction to achieve a planned goal
  • Trust is influenced by many variables

43
One-to-One Marketing and Personalization in EC
(cont.)
44
One-to-One Marketing and Personalization in EC
(cont.)
  • How to increase EC trust
  • between buyers and sellers trust is determined
    by
  • degree of initial success that each party
    experienced with EC and with each other
  • well-defined roles and procedures for all parties
    involved
  • realistic expectations as to outcomes from EC

45
One-to-One Marketing and Personalization in EC
(cont.)
  • Issues in personalization
  • brand recognition
  • security mechanisms help solidify trust
  • disclose and update latest business status and
    practices to potential customers and to build
    transaction integrity into the system
  • guarantee information and protection privacy
    through various communication channels
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