Chapter 18 database and direct response marketing
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Transcript of Chapter 18 database and direct response marketing
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Prof. (Dr.) Kao Kveng Hong, PhD, D.Litt11-1
18
Chapter-18
Databaseand
Direct Response Marketing
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Levi Strauss• 1853, Bavarian immigrant• Four principles
• Empathy• Originality• Integrity• Courage
• Primary brands• Levi’s, Dockers, Levi Strauss Signature
• Dominant brand brand erosion• Database marketing program• 100,000 consumers - questionnaire• Five target groups – promotions
offered• Online shoppers – fashion messages
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Database andDirect Response Marketing
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
The 3 R’s• Recognition• Relationship• Rewards
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Database Marketing
DatabaseAnalytics
Direct Response Marketing
Database
Identifying customersBuilding relationships
Data-DrivenCommunications
Data-Driven Programs
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Tasks in Database Marketing
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F I G U R E 1 1 . 2
• Building a data warehouse• Database coding and analysis• Data mining• Data-driven marketing
communications• Data-driven marketing programs
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Building the DataWarehouse
• Operational database• Customer transactions• Follows accounting rules
• Marketing database• Current customer information• Former customer information• Prospect information
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Marketing Data Warehouse• 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
• Inquiries• Complaints• Returns
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Marketing Data Warehouse(continued)
• Customer survey results• Preferences and profiles supplied by the customer• Response history from marketing campaigns• Appended data
• Demographic and psychographic data(Knowledge Base Marketing or Claritas)
• Geocoding(CACI Coder Plus)
• Database coding through customer analyses• Lifetime value• Customer segment cluster• RFM (recency, frequency, monetary) analysis
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Trade Area Draw AnalysisSample CACI Report for a Proposed Store Site
Based on a customer profile presented to CACI, 50% of the firm’s target customers live within 2.32 miles of the proposed retail site. Of the 14,803 customers who live within 2.32 miles, only 985 (or 6.7%) are currently customers of this firm.
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Percentile
25%# of Customers
492Distance
0.99# of Households
1,992Penetration Rate
24.7%50% 985 2.32 14,803 6.7%75% 1,477 4.28 45,390 3.3%90% 1,772 8.48 97,382 1.8%99% 1,949 27.92 3,064,490 0.1%
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• Personalized communications• Marketing campaigns• Common forms of coding
• Lifetime value analysis• RFM analysis
Database Coding and Analysis
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Represents the profit revenue of a customer
throughout the lifetime of the relationship
• Individual lifetime value• Customer segment lifetime value• Key figures
• Revenue and costs• Retention rate• Visits or purchases per time period
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Lifetime Value Analysis
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Lifetime Value for Lilly Fashions
F I G U R E 1 1 . 3
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Year 1 Year 2 Year 3
Customers 3,200 1,600 960
Retention rate 50% 60% 70%
Visits/Year 4 5 6
Sales/Visit $78.00 $94.00 $110.00
Total Revenue $998,400 $752,000 $633,600
Variable costs % 60% 60% 60%
Variable costs $ $599,040 $451,200 $380,160
Acquisition costs ($72) $230,400
Database costs ($3) $9,600 $4,800 $2,880
Total costs $839,040 $456,000 $383,040
Gross Profit $159,360 $296,000 $250,560
Cumulative Gross Profit $159,360 $455,360 $705,920
Lifetime Value/customer $49.80 $142.30 $220.60
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• Recency
• Frequency
• Monetary
RFM AnalysisUsed to predict future customer behaviors.
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• Recency• Divide database into 5 equal parts based on date of
lastpurchase.
• 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.
RFM Analysis Procedure
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• Code of 235• 2 indicates has not made a recent purchase• 3 indicates has made an average number of
purchases• 5 indicates the total monetary value of the purchases
were among the top 20% of the firm’s customers
• Recency has most impact on future purchases• Frequency has second most impact• Monetary has least impact
RFM Analysis Results
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Data Mining• Building profiles of customer groups• Preparing models that predict future
purchase behavior• Examples
• First Horizon – profiles best prospects• American Eagle – price markdowns• Goody’s – shopper baskets• Staples – profiles of best customers
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Executives from Unica, a maker of marketing automation software, discuss the importance and use of data mining and management.
Click picture to view video.
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Data Mining and Data Coding• Marketing communications• Marketing programsDrives
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Why the Internet is Important in Customer 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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F I G U R E 1 1 . 4
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Why build a data warehouse?Why code data?
Why mine the data?
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Database-Driven Communications
• Identification codes• Customer IDs/passwords• Personalized greetings• After-sale communications
• Customer profile information• In-bound telemarketing• Trawling
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F I G U R E 1 1 . 5
Segmenting Customers by Lifetime ValueGold
Silver
Bronze
Mass Customers
Losers11-23
Life
time
Valu
e
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Database-DrivenMarketing Programs
• Permission marketing• Frequency/loyalty programs• Customer relationship
management
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• Obtain permission• Offer a curriculum over time• Reinforce incentives to continue the relationship• Increase level of permission• Leverage the permission to benefit both parties
Source: Based on Seth Godin, “Permission Marketing: The Way to Make Advertising Work Again, Direct Marketing, (May 1999), Vol. 62, No. 1, pp. 41-43.
Steps in Building a Permission Marketing Program
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F I G U R E 1 1 . 6
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Successful Permission Marketing
• Ensure recipients have granted permission• Make e-mails relevant• Customize program by tracking member activity
Empowerment Reciprocity
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Reasons Consumers Opt into an E-mail Permission Program
F I G U R E 1 1 . 7
24%
Source: Based on Joseph Gatt, “Most Consumers Have Reached Permission E-mail Threshold,” Direct Marketing (December 2003), pp. 1-2.
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40%
38%
37%
41%
0% 5% 10% 15% 20% 25%30%
Percent of Respondents
35% 40%45%
Friend recommended
Already customer
E-mail required to access content
Found site randomly
Sweepstakes or chance to win
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Reasons Customers Remain Loyal to a Permissions Relationship
F I G U R E 1 1 . 8
27%
Source: Based on Joseph Gatt, “Most Consumers Have Reached Permission E-mail Threshold,” Direct Marketing (December 2003), pp. 1-2.
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34%
34%
35%
36%
0% 5% 10% 15% 20% 25%
Percent of Respondents
30% 35% 40%
Entertaining
Price bargains
Contests and sweepstakes
Account status updates
Interesting content
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Frequency Program Objectives
• 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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Source: Grahame R. Dowling and Mark Uncles, “Do Customer Loyalty Programs Really Work?” Sloan Management Review, (Summer 1997), Vol. 38, No. 4, pp. 71-82.
F I G U R E 1 1 . 9
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Goals of Frequency Programs
••• Develop customer loyalty
Matching or preempting the competitionTarget higher income households• Incomes of $125,000 plus - 92% enrolled• Incomes below $125,000 – 51% enrolled
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Principles FrequencyPrograms• 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
motivationto make the next purchase.
Sent letter to 4,000 offering $5 discount on dinner.
• Average visits increased• From 25 to 42 during promotion• From 25 to 29 after promotion
• Card holders visits increased• Incremental sales increased
•$17,100 during promotion•$4,700 after promotion
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Customer Relationship Management
• Database technology• Customize products• Customize communications
• Many CRM programs failed• Built on two primary metrics
• Lifetime value• Share of customer
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Customer Relationship ManagementSteps to Develop
• Identify the company’s customers• Differentiate customers in terms of
needs and value• Lifetime value• Share of customer
• Interact with customers• Improve cost efficiency• Enhance effectiveness of interaction
• Customize goods or services
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Share of a Customer• Company A - $ 27,000• Company B - $ 18,000• Company C - $ 15,000• Total expenditures -$60,000.• Share of customer
• Company A 45%• Company B 30%• Company C 25%
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Customer Relationship ManagementReasons for Failure
• Implemented before a solid customer strategy is created• Rolling out a CRM program before changing the organization to
match the CRM program• Becoming technology driven rather than customer driven• Customers feel like they are being stalked instead of being
wooed
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Direct Response Marketing
• Direct Marketing Association• Prospecting 60%• Customer retention 40%
• Dell Computers• Catalog• TV and radio ads• FSI ads• Web site
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Methods of Direct MarketingF I G U R E 1 1 . 1 0
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77%73%
0% 10% 20% 30% 40% 50% 60%
% of Companies Using Particular DM Methodology
70% 80% 90%
Source: Based on Richard H. Levy, “Prospects Look Good,” Direct, Vol. 16 (December 1, 2004), pp. 1-5.
Direct mail to
customers Direct mail
to prospects
Statement stuffers
16%
Catalogs 24%Direct response-promotions 21%
Direct response-radio 10%
Direct response-
TV Direct response-
Internet
8% 29%
Search engine marketing 22%
Search engine
optimization E-mail
to customers
17% 55%
E-mail to prospects 46%Inbound telemarketing 16%
Outbound telemarketing 24%
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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
Copyright © 2010 Pearson Education, Inc. publishing as Prentice Hall
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Catalogs• 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• Direct response to ads• Cost-effective• Builds relationships• Personalization of communication• Customization of offer• Search engine ads
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Alternative Media•••• Package insert programs (PIPs)
Ride-a-longsStatement 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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