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Case Study: Improving E-Mail Marketing Response

Read the following case study.

A company wishes to improve its e-mail marketing process, as measured by an increase in the response rate to e-mail advertisements. The company has decided to study the process by evaluating all combinations of two options of the three key factors: E-Mail Heading (Detailed, Generic); Email Open (No, Yes); and E-Mail Body (Text, HTML). Each of the combinations in the design was repeated on two different occasions. The factors studied and the measured response rates are summarized in the following table.

Table: Improving E-Mail Response Rate Run Heading Email Open Body Replicate Response Rate 1 Generic No Text 1 46 2 Detailed No Text 1 34 3 Generic Yes Text 1 56 4 Detailed Yes Text 1 68 5 Generic No HTML 1 25 6 Detailed No HTML 1 22 7 Generic Yes HTML 1 21 8 Detailed Yes HTML 1 19 1 Generic No Text 2 38 2 Detailed No Text 2 38 3 Generic Yes Text 2 59 4 Detailed Yes Text 2 80 5 Generic No HTML 2 27 6 Detailed No HTML 2 32 7 Generic Yes HTML 2 23 8 Detailed Yes HTML 2 33

Write a two to three page paper in which you:

1.Use the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company..

2.Determine the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Provide a rationale for your response.

3.Recommend the main actions that the company could take in order to increase the response rate of its e-mail advertising. Provide a rationale for your response..

4.Propose one overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Provide a rationale for your response.

•Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.

Discussion Attachment Collapse

ASSIGNMENT

"One-factor-at-a-time (OFAAT) and Design of Experiment (DOE)" Please respond to the following:

•Per the textbook, trying to understand factors that impact the outcomes of business process is an important aspect of improving business operations. Conventional wisdom plans experiment one-factor-at-a-time (OFAAT). Compare and contrast the main advantages and disadvantages of OFAAT and DOE and select the approach (e.g., OFAAT or DOE) that you would use in order to obtain effective business process. Provide a rationale for your response.

Assignment

The experiment data in below table was to evaluate the effects of three variables on invoice errors for a company. Invoice errors had been a major contributor to lengthening the time that customers took to pay their invoices and increasing the accounts receivables for a major chemical company. It was conjectured that the errors might be due to the size of the customer (larger customers have more complex orders), the customer location (foreign orders are more complicated), and the type of product. A subset of the data is summarized in the following Table.

Table: Invoice Experiment Error

Customer Size

Customer Location

Product Type

Number of Errors

-

-

-

15

+

-

-

18

-

+

-

6

+

+

-

2

-

-

+

19

+

-

+

23

-

+

+

16

+

+

+

21

Customer Size: Small (-), Large (+)
Customer Location: Foreign (-), Domestic (+)
Product Type: Commodity (-), Specialty (=)

Reference: Moen, Nolan, and Provost (R. D. Moen, T. W. Nolan and L. P. Provost. Improving Quality through Planned Experimentation. New York: McGraw-Hill, 1991)

Use the date in table above and answer the following questions in the space provided below:

1. What is the nature of the effects of the factors studied in this experiment?

2. What strategy would you use to reduce invoice errors, given the results of this experiment?

Attachment:- Case_Study.rar

Marketing Management, Management Studies

  • Category:- Marketing Management
  • Reference No.:- M92215225
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