Page 317 - Introduction to Business
P. 317

CHAPTER 8   Marketing Basics  291


                 ways to collect the information it wants. It could use personal interviews, a mail
                 questionnaire, or a telephone survey. We will assume that the firm elected to use
                 telephone interviews in which skilled interviewers would question former users as
                 to why they no longer use the product.
                    In  data analysis, the major findings of the study are summarized, usually in
                 tables. In the floor cleaning example, lets assume the following results from the 200
                 people interviewed over the telephone:
                                                           Number of       Percentage of
                                                           Respondents     Respondents
                     Reasons for Not Purchasing            Indicating      Indicating
                     the Cleaning Product                  Reason          Reason
                     The product did not do a good job
                       of cleaning the floors.              10               5.0
                     The product has a bad odor.           100              50.0
                     The product’s price was too high.       5               2.5
                     The product’s package was too
                       difficult to open.                   25              12.5
                     The product’s package was not
                       attractive.                          10               5.0
                     I found another product I liked better.  25            12.5
                     The product often was not available
                       at the store where I shopped.        25              12.5
                     Total                                 200             100.0

                    Once the marketer has data to look at, conclusions can be drawn as to whether
                 the hypothesis tested can be accepted. In this example, half of the people interviewed
                 stated that the offensive odor was the reason they stopped buying the product, and
                 all other reasons were indicated by much lower percentages of the respondents.
                 Thus, the company can confidently conclude that the product’s smell very likely
                 explains why its sales have been dropping.
                    Recommendations flow from the conclusions. In this example, the marketing
                 researchers would probably recommend that the company find some way to make
                 the cleaning product’s odor more acceptable.


                 Databases

                 Databases are banks of information companies have about their individual cus-  databases Banks of information that
                 tomers. They reflect the realization by many companies that they no longer can be  companies have about their individual
                                                                                          customers
                 successful by believing that all customers are equally valuable to them. Customer
                 databases are considered to be one of a company’s most important assets. As such,
                 they are viewed as a necessary investment. While current customers are the most
                 significant focus, prospects and former customers should also be included. Basic
                 information that should be in the database for current customers are name,
                 address, telephone number, products they have purchased, the value of their pur-
                 chases, and whether the purchase was in response to any promotional program.
                 With this information, companies can obtain three crucial measures of the value of
                 customers: recency of purchase, frequency of purchase, and dollar amount of total
                 purchases. Commonly referred to as RFM, recency, frequency, and dollar amount
                 are the data needed to calculate the lifetime value (LTV) of customers. The higher  lifetime value (LTV) The future value of
                 the lifetime value, the more valuable a customer.                        a customer based on recency,
                                                                                          frequency, and dollar amount of past
                    By knowing how specific customers have responded to previous promotions,
                                                                                          purchases
                 companies can tailor future promotions to them. These data will indicate what
                 types of products and services should be offered, whether customers should
                 Copyright 2010 Cengage Learning, Inc. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part.
   312   313   314   315   316   317   318   319   320   321   322