Strategy to Improve the E-Mail Marketing Response Rates
A company intends to improve its email marketing system to measure its response rates from its email advertisements by carrying out the evaluation process using different combination 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." (Email Attachment, 2015 p 1).
The objective of this paper is to develop the email advertising strategy to assist the company to increase the response rates.
Conducting a DOE ( design of experiment) to test a cause-and-effect relationship of the Company Business Processes
2.
Using the data in the table 1, the paper develops graphical illustrations to test relationships of the company's business process .
Fig 1: Sum of the Response Rate by Email Body and Email Open
As being revealed in Fig 1, the response rates for the TEXT emails are higher than the response rates for the HTML emails. Typically, the email receivers open larger number of emails sent through TEXT than through HTML. A sum of the response rates of TEXT email opened are 263 while the sum of the...
The sum of the response rates for the email opened for detailed emails are 200, however, the sum of the response rates for the generic emails are 159.
2. Determination of the Selected Graphical Display Tool
The paper uses the Pivot Chart to view the table 1. The benefits of the Pivot Chart is that it assists in analyzing the data in table 1 and assists in presenting the data in a graphical form. Moreover, the pivot chart is very easy to understand and assists in presenting the relationship of the factors affecting the email response rates.
Regression Analysis
The table 2 reveals the summary of the response rates of the Text, HTML, Generic and Detailed Emails. The sum of the response rates of text emails are higher than the sum of the response rates…
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
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