4. The Value of Customer Knowledge
Everything Depends on Data Quality
5. The Value of Customer Knowledge
What is Data Quality
Technical POV • Depth & Adherence to Specifications
Customer POV • Data leading to Better Service
Company PoV • Needs to Have Commercial Value
Intrinsic Quality of Data = Current x Complete x Correct x Unique
8. Data Quality
The Impact of Good Quality Data
Effective
Acquisition
Faster
Acquisition
Lower Costs
Higher Csat
Relationship
Development
9. 9
Data Sources
Whereabouts
Access to Data Quantity
Strategy
Disconnect
Accuracy
Need for New
data
Security &
Privacy Concerns
Data As an Asset
Utilizing Data – Challenges
Organisation Usage
10. Data Management
Stages of Organisation Evolution
• Individual effort
by Mktg
Pioneer
• Dbase Specialist
• Collection &
Organising
Data
Specialization
• Part of Profit
Centre
• Defined
Objectives
Multifunctional
Team
• IT Investment
• Multi Channel
• Two Way
System
Integration
Final Stage : One to One Communication
11. Data → Customer Knowledge
Creating a Customer Profile- Elements
11
14. Customer Knowledge
The Legal Aspects
14
Permissions based- Implicit & Explicit
Person/ Entities Responsible- Storage / Processing
Right to Inspect & Objection
In India Held as a Right under Right to Life by SC
17. Multi Channels
The Communications Continuum
17
One to Many One to One
Impersonal
Undifferentiated
Unaddressed
Differentiated
Addressed
Very Personal
Mass Media
Catalogues
Website
Emailer
Telephone Personal Sales
Service Employee
Independent of Time & Place
Content & Context Driven
18. Multi Channels
Power of Channels
18
Aim : To Create a Seamless Network of “ Touch Points” by using
Channels at different points of the Contact Process
Degree of
Interactivity
Degree of
“Personality”
No. of Senses
Activated/
Engaged
Dimensions
21. Deploying Multi Channels-B2C
Consumer Traits & Factors to Consider
21
Conservative
• Security, Familiarity
• Skeptical
Active
• Need for Control
Open
• Experimental, Knowledgeable
• Self Driven
Instrumental
• Purpose Driven
• Transactional
Social
• Relationship Oriented
• Face to face interactions
ToM
Awareness
Risk
Perception
Intrinsic
interest Time
Channel
Familiarity Product
Factors
26. Tech enabled Channels
Roles in Contact Process
26
• B2B
• Information
• Learn
• Advise
• Transact
• Support
• Relationship
building
• Acquire
• Information
• Transact
• Support
• Information
• Advice
• Learn
• Support
• Relationship
Building
Account
Manager Call Centre Social Media Internet Email
• Information
• Learn
• Advise
• Transact
• Support
• Information
• Advise
• Transact
• Support
• Relationship
building
Judicious deployment of Channels Post Purchase can open further
Upselling Opportunities and Lower Costs
34. Mass Individualisation
The Next Step
• Co-Creation at design level
• Involves all the stake holders
• Facilitated by interface for end-
user interaction
35. Individualised Customer Proposition
Custom Pricing Policy
Factors
Differential Value
among Customers
Time Value
Situation Value
Challenges
Customer
acceptance
Price Sensitivity
Competition
36. Individualised Customer Proposition
Custom Pricing Policy- Price sensitivity
• Alternates
• Cost of switching
• Product difference
• Transactional or Long term
relationship oriented
• Who’s Paying ?
• Is the buyer the end user
• Price & Quality relationship
• Accessibility
• Time constraint
37. Custom Pricing Policy
Internet enabled Pricing Strategies
Pricing Structures
• Bundling Vs Unbundling
• Discounts & Additional Compensation for additional Products/ Services
• Fixed Vs Dynamic Price – Time Value
• Price accepting Vs Price setting
• Price Tailoring
Freemium Auctions Pay Per View Pay as You Go
38. Revenue Management
Formulating a Revenue Policy-Steps
Segment buyers basis Price & Quality Preferences
Price Strategy Per Segment
Demand Forecast per Segment
Allocation of Capacity across Segments
Revenue Management = Maximising Yields by allocating different Capacities across different Prices
41. Designing Relationship Policy
By Relationship Phase
Exploratory Growth Maturity Decline
Transaction Low Growing Stable Declining
Commitment Avg. High Decreasing Maximum Low
Objective Both Higher Both Higher Retain Prevent/
Separation
Policy
Inform,
Differentiate,
Measure
Satisfaction
Interact, Appeal,
Cross- selling ,
Customisation,
Exceed expectations
Change
Routine
Cause analysis,
suggest
solutions.
42. Relationship Policy
Getting the Data Right
1. Which Customers ? Size & Quality.
2. Objectives from each Segment
3. Acquisition Plan for desired
Customers
4. Retention Plan
5. Recovery Plan
45. Relationship Policy
Phases & Communication Plan
• Welcome
Pack
• Questionnaire
• Transaction
Exploration
• Partnership
• Cross selling
opportunities
Growth
Phase • Customized
• Relationship
oriented
Maturity
Decline
• Interest
• Solutions
• Exit Interviews
Reasons to Communicate
1. New Launches
2. Customer Life Events
3. Building Familiarity
4. Legislative Changes
46. Relationship Policy
Loyalty Programmes
A Structured Marketing effort that encourages preferred buying behavior
which is beneficial to the issuing business entity
47. Loyalty Programs
Categories
Savings
Program
• Purchase
• Points & Gifts
• Increase spends
• Customer
Retention
• Free or additional
payment rewards
Club Program
• Registration
• Min Threshold for
acceptance
• Brand/Product
Oriented Comms.
• Increase Customer
Involvement
• Information,
Discounts etc.
Relationship
Marketing
Program
• Min no. of
Transactions
• Comms driven
towards Customer
usage , Brand
,Points & Gifts.
• Aim is to increase
mutual
involvement
• Generate long
term Commitment