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 (2) options of the three (3) 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 (2) different occasions. The factors studied and the measured response rates are summarized in the following table.
Run heading email body replicate response rates
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 genetic yes HTML 1 21
8 detailed yes HTML 1 19
1 genetic no text 2 38
2 detail no text 2 38
3 genetic yes text 2 59
4 detailed yes text 2 80
5 genetic no HTML 2 27
6 detailed no HTML 2 32
7 generic yes HTML 2 23
8 detailed yes HTML 2 33
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.
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.
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.
Propose one (1) 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.
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