Presentation is loading. Please wait.

Presentation is loading. Please wait.

McGraw-Hill/Irwin Retailing Management, 6/e Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 11 Customer Relationship Management.

Similar presentations


Presentation on theme: "McGraw-Hill/Irwin Retailing Management, 6/e Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 11 Customer Relationship Management."— Presentation transcript:

1 McGraw-Hill/Irwin Retailing Management, 6/e Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 11 Customer Relationship Management

2 11-2 Information Systems Retailing Strategy Retail Market Strategy Financial StrategySite Location Retail Locations Customer Relationship Management Organizational Structure and HR Management

3 11-3 Customer Relationship Management A business philosophy and set of strategies, programs, and systems that focus on identifying and building loyalty with a retailer’s most valuable customers. What is loyalty? Is it the same thing as liking a retailer or frequently patronizing a retailer?

4 11-4 Customer Loyalty Committed to purchasing merchandise and services from a retailer Resist efforts of competitors to attract the loyal customer Emotional attachment to retailer –Personal attention –Memorable positive experiences –Brand building communications programs

5 11-5 Can Offering Discounts Achieve Customer Loyalty? No! Retail strategies like these can be copied by competitors These strategies encourage customers to be always looking for the best deal rather than developing a relationship with a retailer McGraw-Hill Companies, Inc./Gary He, photographer

6 11-6 CRM Process

7 11-7 Information About Each Customer in the Database History of purchases Purchase date, price paid, SKUs bought, whether or not the purchase was stimulated by a promotion Customer contacts by retailer (touch points) --visits to web site, inquires to call center, direct mail sent to customer Customer preferences Descriptive information about customer Customer’s responses to marketing activities

8 11-8 Approaches for Collecting Customer Information Need to connection contacts with a specific customer identifier Ask for identifying information –Telephone number, name and address Encourage use of frequent shopper cards Link checking account number and/or third party credit cards to customer

9 11-9 Privacy Concerns Control over Collection Do customers know what information is being collected? Do customers feel they can decide on the amount and type of information collected by retailers? Control over Use Do customers know how the information will be used by the retailer? Will the retailer share the information with third parties? Steve Cole/Getty Images

10 11-10 Frequent Shopper Cards Card is often squeezed out of wallet Customers forget to bring it to the store Might not even show it if in a hurry (c) image100/PunchStock

11 11-11 Heighten Concerns When Using Electronic Channel Information collected without the awareness of customers Collecting click stream data using cookies Similar to an invisible person videotaping a customer as they walk through a store Stockbyte/Punchstock Images

12 11-12 Customer’s Decision to Offer Information Balance benefits and risks Discounts Special Treatment Personal Attention Disclosure of Information Unwanted Sales Contacts

13 11-13 Consumer Protection Differences United States Limited protection in specific areas –Credit reporting –Video rentals –Banking –Medical records European Union Information only can only be collected for specific purposes Purpose must be disclosed to customer Information can only be used for specific purpose Information can not be exported to countries with less stringent regulations

14 11-14 FTC Guideline for Fair Information Practices Notice and awareness –comprehensive statement about information storage, manipulation, and dissemination Choice/consent –Opt-in and opt-out options Access/participation –Customer able to confirm accuracy Integrity/security –Controls for theft and tampering Enforcement/redress –Mechanism to insure compliance

15 11-15 J.Crew Security and Privacy Policy

16 11-16 Analyzing Customer Data Data Mining – technique used to identify patterns in data. Market Basket Analysis Identifying Market Segments Identifying Best Customers Ryan McVay/Getty Images

17 11-17 Market Basket Analysis Data analysis focusing on the composition of the customer’s market basket – what items are bought during a single shopping occasion Uses: -Adjacencies for displaying merchandise -Joint promotions Burke/Triolo Productions/Getty Images

18 11-18 Market Basket Analysis Taught Wal-Mart to Change! Product Placed Near Bananas cornflakes, produce Kleenex paper goods, cold medicine Measuring spoons housewares, Crisco shortening Flashlights hardware, Halloween costumes Little Debbie snack cakes coffee Bug spray hunting gear

19 11-19 Identifying Best Customers Estimating Lifetime Value Based on assumptions that the customer’s future purchase behaviors will be the same as they have been in the past Classifying Customers by recency, frequency, and monetary value of purchases (RFM Analysis) (c) Brand X Pictures/PunchStock

20 11-20 Which Customer Probably Has the Greatest Lifetime Value Purchases Over Last 10 Weeks

21 11-21 Customer Pyramid Platinum Best Most loyal Least price sensitive

22 11-22 Customer Pyramid Gold Next best Not as loyal

23 11-23 Customer Pyramid Iron Doesn’t deserve much attention

24 11-24 Customer Pyramid Lead Demands attention May have negative value

25 11-25 RFM Analysis

26 11-26 RFM Target Strategies

27 11-27 Illustration of RFM Application A catalog retailer is deciding which group of customers to send a catalog.. Based on experience and an RFM analysis of customer database: Average order size for customers in cell - $40 Contribution margin – 50% Response rate – 5% Cost of catalog and mailing -$.75 Will the retailer make a profit mailing to this RFM segment?

28 11-28 Illustration of RFM Application A catalog retailer is deciding which group of customers to send a catalog.. Based on experience and an RFM analysis of customer database: Average order size for customers in cell - $40 Contribution margin – 50% Response rate – 5% Cost of catalog and mailing -$.75 Will the retailer make a profit mailing to this RFM segment? $20.00 contribution x.05 response rate - $.75 cost = $.25 profit per catalog mailed

29 11-29 CRM Programs Retailing Best Customers Converting Good Customers to Best Customers Getting Rid of Unprofitable Customers

30 11-30 Customer Retention Programs Frequent Shopper Programs Special Customer Services Personalization 1-to1 Retailing Community Royalty-Free/CORBIS

31 11-31 Elements in Effective Frequent Shopper Programs Tier Based on Customer Value Offer Choices of Rewards –Non-monetary incentives Reward all Transactions Transparent and Simple

32 11-32 Issues with Effective Frequent Shopper Programs Expense Difficulty in Making Changes Impact on Loyalty Questionable Easily Duplicated – Difficult to Gain Competitive Advantage –Need to offer “invisible” benefits

33 11-33 Personalization Hello, Barton Weitz

34 11-34 Dealing with Unprofitable Customers Offer less approaches for dealing with these customers Charge customers for extra services demanded Don Farrall/Getty Images

35 11-35 Implementing CRM Programs Need systems, databases Close coordination between departments – marketing, MIS, store operations, HR Shift in orientation Product CentricCustomer Centric


Download ppt "McGraw-Hill/Irwin Retailing Management, 6/e Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 11 Customer Relationship Management."

Similar presentations


Ads by Google