Improving Email Marketing Response: Case Study Case Study

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¶ … Cause-And-Effect Relationships Required: Use the data presented in Table 1 below to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business process for the company

Improving Email Response Rate

Run

Heading

Email Open

Replicate

Response Rate

Generic

Detailed

Generic

Detailed

Generic

HTML

Detailed

HTML

Generic

HTML

Detailed

HTML

Generic

Detailed

Generic

Detailed

Generic

HTML

Detailed

HTML

Generic

HTML

Detailed

HTML

Taking averages of the response rate in the repeat experiments, we end up with table 1.1 as shown below:

Run

Email Heading

Email Open

Email Body

Response Rate

Generic

No

Text

(46+38)/2

Detailed

No

Text

(34+38)/2

Generic

Yes

Text

(56+59)/2

Detailed

Yes

Text

74(68+80)/2

Generic

No

HTML

26(25+27)/2

Detailed

No

HTML

27(22+32)/2

Generic

Yes

HTML

22(21+23)/2

Detailed

Yes

HTML

26(19+33)/2

Coding the data in table 1.1 in the form of 1 and -1 for all the three key factors, where i) for the Email Heading factor (abbreviated as EH) 1 represents 'Generic' and -1 represents 'Detailed'; ii) for the Email Opening factor (abbreviated as EO) 1 represents 'No' and -1 represents 'Yes'; and iii) for the Email Body factor (abbreviated as EB) 1 represents 'Text' and -1 represents 'HTML', we end up with table 1.2:

Run

EH

EO

EB

Response Rate

1

1

1

1

42

2

-1

1

1

36

3

1

-1

1

57.5

4

-1

-1

1

74

5

1

1

-1

26

6

-1

1

-1

27

...

This implies that we could use the main effects scatter plot to determine the pareto levels of operation for the three factors (Morris, 2010). However, the interaction results show that there is some significant interaction among factors. Towards this end, rather than use the main effects plot, we could use the interactions effect…

Sources Used in Documents:

References

Manly, B.F. (1992). The Design and Analysis of Research Studies. New York, NY: Cambridge University Press.

Morris, M. (2010). Design of Experiments: an Introduction Based on Linear Education. Boca Raton, FL: Taylor & Francis

Roy, R.K. (2001). Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement. New York, NY: John Wiley & Sons.


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