Transcript Document

Database and Direct
Response Marketing
Chapter 11
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Chapter Objectives
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How can a marketing team match a
database program with an IMC program?
What is meant by “database-driven
marketing communications?”
Name the ways a company’s database can
be used to create permission marketing,
frequency marketing, and customer
relationship management programs.
Which direct response marketing programs
are most effective and least effective?
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Levi-Strauss
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1853, Bavarian immigrant
Four principles
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Empathy
Originality
Integrity
Courage
Primary brands: Levi’s, Dockers, Levi Strauss Signature
Brand erosion
Database marketing program
Five target groups – promotions offered
Online shoppers – fashion messages
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Chapter Overview
• Database marketing
• Building a data warehouse
• Database coding and analysis
• Data mining
• Database-driven marketing
• Communications
• Programs
• Customer relationship management
• Direct response marketing
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Developing Loyal Customers
• Recognition
• Relationship
• Rewards
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Database Marketing
• Database
 Identify customers
 Build relationships
• Database analytics
 Data-driven programs
 Data-driven communications
 Direct response marketing
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Tasks in Database Marketing
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Building a data warehouse
Database coding and analysis
Data mining
Data-driven marketing communications
Data-driven marketing programs
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Building the Data Warehouse
• Operational database
 Customer transactions
 Follows accounting rules
• Marketing database
 Current customer information
 Former customer information
 Prospect information
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The Marketing Data Warehouse
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Customer names and addresses
E-mail addresses
Record of visits to the firm’s Web site
History of every purchase transaction
History of customer interactions
Customer survey results
Preferences and profiles supplied by the customer
Response history from marketing campaigns
Appended data
Database coding through customer analyses
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Database Coding and Analysis
• Personalized communications
• Marketing campaigns
• Common forms of coding
 Lifetime value analysis
 RFM analysis
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Lifetime Value Analysis
• Individual lifetime value
• Customer segment lifetime value
• Key figures
 Revenue and costs
 Retention rate
 Visits or purchases per time period
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RFM Analysis
• Recency
 Divide database into 5 equal parts based on date of
last purchase.
 Code 5 to 1 with 5 the last 20% to purchase.
• Frequency
 Divide into 5 equal parts.
 Code 5 to 1 with 5 being the most frequent
• Monetary
 Divide into 5 equal parts
 Code 5 to 1 with 5 being the highest expenditures
• Codes range from 555 to 111.
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Data Mining
• Build profiles of customer groups.
• Prepare models for predicting
future behaviors.
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Internet Communications
• Low cost
• Available 24/7.
• Metric analysis
• If the message was read
• Time it was read
• How much time was spent
• Customers access to additional information
• Build a bond with customers.
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Data-Driven
Communications
• Identification codes
 Customer IDs/passwords
 Personalized greetings
 After-sale communications
• Customer profile information
• In-bound telemarketing
• Trawling
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Data-Driven
Marketing Programs
• Permission marketing
• Frequency/loyalty programs
• Customer relationship management
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Steps in Permission Marketing
 Obtain permission
 Offer a curriculum over time.
 Reinforce incentives to continue the relationship.
 Increase level of permission.
 Leverage the permission to benefit both parties.
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Successful Permission Marketing
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Ensure recipients have granted permission
Make e-mails relevant
Customize program
Track member activity
Empowerment
Reciprocity
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Frequency Programs
Objectives
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Maintain sales, margins, or profits.
Increase loyalty of existing customers.
Induce cross-selling to existing customers.
Differentiate a parity brand.
Preempt the entry of a new brand.
Preempt or match a competitor’s program.
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Principle in Building
Frequency Programs
• Design the program to enhance the
value of the product.
• Calculate the full cost of the program.
• Design a program that maximizes the
customer’s motivation.
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Customer Relationship
Management (CRM)
• Database technology
 Customize products
 Customize communications
• Many CRM programs failed
• Built on two primary metrics
 Lifetime value
 Share of customer
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Developing a CRM Program
• Identify customers.
• Differentiate customers
 Lifetime value
 Share of customer
• Interact with customers.
 Improve cost efficiencies
 Enhance effectiveness
• Customize goods and services.
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Reasons CRM Programs Fail
• Implementation before customer
strategy.
• Rolling out the CRM program before
changing the organization to match
the CRM program.
• Technology-driven instead of
customer-driven.
• Customers feel like they are being
stalked instead of wooed.
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Direct Response Marketing
• Direct Marketing Association
 Prospecting  60%
 Customer retention  40%
• Dell Computers
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Catalog
TV and radio ads
FSI inserts
Web site
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Methods of Direct Marketing
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Direct mail
E-mail
Catalogs
Direct response promotions
Alternative media
Telemarketing
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Direct Mail
• Most common form of direct marketing
• Types of lists
 Response list
 Compiled list
• Advantages
 Target mailings (consumer, b-to-b)
 Measurable
 Driver of online sales
• Disadvantages
 Clutter
 Costs
• Digital direct-to-press
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Catalogs
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Long-term impact
Low-pressure sales tactics
First stage in buying cycle
Database
Specialty catalogs
Business-to-business
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Direct Response Media
• Television
• Radio
• Magazines
• Newspapers
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Internet
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Direct response to ads
Cost-effective
Builds relationships
Personalization of communication
Customization of offer
Search engine ads
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Alternative Media
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Package insert programs (PIPs)
Ride-a-longs
Statement stuffers
Card packs
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Telemarketing
• Inbound telemarketing
 Cross-selling
• Outbound telemarketing
 Cold calling
 Database
 Prospects
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International Implications
• Differences in technology
• Laws and regulations
• Local customs
• Infrastructure
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