E Mail Marketing Response Rates Improvement Strategy Case Study

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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 response rates for the HTML emails opened are 96.

Fig 2: Sum of the Response Rate by Email Body and Email Heading

Similarly, the fig 2 shows that the company is able to generate higher response rates from both the detailed and generic TEXT emails than detailed and generic HTML emails.

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Fig 3: Sum of the Response Rate Email Heading and Email Open

As being revealed in Fig 3, the detailed emails had higher response rates than generic emails. 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….....

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"E Mail Marketing Response Rates Improvement Strategy" (2015, November 28) Retrieved May 19, 2024, from
https://www.aceyourpaper.com/essays/e-mail-marketing-response-rates-improvement-2159026

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"E Mail Marketing Response Rates Improvement Strategy" 28 November 2015. Web.19 May. 2024. <
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"E Mail Marketing Response Rates Improvement Strategy", 28 November 2015, Accessed.19 May. 2024,
https://www.aceyourpaper.com/essays/e-mail-marketing-response-rates-improvement-2159026
   

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