efox.cox.smu.edu
Transcript of efox.cox.smu.edu
Retail CRM (Consumer Relationship Management)
Retail CRM (Consumer Relationship Management)
RetailingMKTG 3346
Professor Edward Fox
Cox School of Business/SMU
Customer Relationship Management
Recognizes that the customer, rather than individual purchases or contracts, is the source of value to the firmFocuses on customer acquisition and retentionHighlights repeat purchase and loyalty over time as key
goalsRecognizes the importance of customer satisfactionRequires customer data to forecast their response to
potential offerings and manage customers over time
Customer Relationship Management
Relating with few customersEmphasizes sales forceUsually B-to-B
Relating with many customersEmphasis is on purchase historyOften, though not always B-to-C
With retail consumers (i.e., many customers)… The retailer must be able to customizecustomize the product or
price or service offering The retailer must be able to addressaddress consumers
individually
Customer Relationship ManagementOBJECTIVES
Create loyal purchase behavior Customize product and price offerings to target
customers
Increase customer lifetime valuecustomer lifetime value
Mass Marketing
Micro-Marketing
Consumer Targeting Continuum
Segment Marketing
Niche Marketing
Customer Relationship ManagementORGANIZATIONAL REQUIREMENTS
Performance measures Internal incentives Customer information / data architecture
Customer Relationship ManagementPROGRAMS
Card programsDiscountCreditMembership
Specific examplesCatalina coupons catalina marketing
Collaborative filtering (recommenders) amazon.com
Virtual model landsend.com
How can the retailer reward loyalty rather than purchase volume?
Customer Relationship Management LOYALTY PROGRAMS
Loyalty programsLoyalty programs are set up to reward customers with incentives such as discounts on purchases, free food, gifts, or even cruises or trips in return for their repeated business.
Retailers use them for three reasons: to retain loyal customers to increase loyalty of non-loyal customers to collect information about them and what they buy
Loyal customers are the source of most profitsLess price sensitiveMore purchases per customer – higher share-of-requirements
Customer Relationship Management RETAIL CUSTOMER DATA
Customer Relationship Management (CRM) is enabled by the gathering and warehousing of consumer data
Retailers gather customer data from:Frequent shopper or
shopper loyalty cardsStore credit cardsIdentifiable tender
Customer Relationship Management RETAIL CUSTOMER DATA
Retail customer databases are organized collections of data about individual consumers including:
Geographic
Demographic
Behavioral data
Purchase histories
Appended behaviors
Databases may enable retailers to gain a competitive advantage Adapted from Prentice Hall
Customer Relationship Management RETAIL CUSTOMER DATA
Most leading retailers use card programs89% of retail “leaders” in the practice of CRM use
card programs (Progressive Grocer, 2001) However, retailers are not using the resulting data
effectively “The retailers have collected all of this frequent
shopper data, but few, if any, attempts have been made to mine the opportunities that it probably presents.” (Shulman 2003)
IssuesHow can retailers better exploit consumer data?How can it be used for targeted marketing offers?
Customer Relationship Management DATA WAREHOUSING
Data warehousing is the coordinated and periodic copying of data from various sources, both inside and outside the enterprise, into an environment ready for analytical and informational processing
Wal-Mart makes good use of its data warehouse. It should. Experts estimate that it is second in size to that of the U.S. government
Customer Relationship Management DATA MINING
Data mining is the process by which insights are derived from vast amounts of data, such as that contained in a data warehouse.
Statistical algorithms are applied to customer data to identify merchandise buying patterns and relationships.
Customer Relationship Management MARKET BASKET ANALYSIS
A market-basket analysismarket-basket analysis is uses data mining techniques to determine what predominant categories individual consumers are buying.
Based on these analyses, Wal-Mart has changed the traditional locations of several items: Since bananas are the most common item in America’s
grocery carts, they sell bananas next to corn flakes (to help sell more cereal) as well as in the produce section.
Kleenex tissues are in the paper-goods aisle and also positioned among the cough and cold medicines.
Measuring spoons are in housewares and also hanging next to Crisco shortening.
RETAIL CRM ISSUES
How does the retailer respect the shopper’s privacy while gathering information to respond more effectively to that customer?
What does the retail shopper get out of CRM? Why should (s)he give is the retailer information about (her-)himself?
Should the retailer offer different levels of price or service? What is the advantage of uniformly high prices or customer service?
What is the appropriate level of customization? How much does the retailer gain by individual, rather than store-specific offers? At what cost?