Harness the Power of E-Mail Marketing - Essay Sample

Introduction

E-mail marketing is a system that can gain significant attention because it's reliable, cost-effective, and best method of advertising. The reason behind this report is to send a reminder that e-mail, marketing has been adopted by both big and small companies as their choice of marketing due to its extensive customer base, targeted market and the technological advancement (Sekaran, 2010). In this report, an evaluation is done and a summary of the data placed in three key factors of e-mail advertisement and why it should be implemented.

The Key Factors to Be Considered Under E-Mail Advertisement

The data presented in the above table was conducted to show the order of effect and cause relationship in our business process. As seen, it can be stated that the response rate should be higher to improve email advertisement. In other words, the response rate should be the key factor to facilitate the cause-and-effect relationship. This means that the response rate is determined by the email advertisement factors. However, in this case, the cause-and-effect link comes from a particular element that does not align the response rate with the email advertisement.

The table uses a display toll to show the result of the DOE as a linear graph under the representation of replicate one and two and the total derived between the two. The reason why the linear graph is used is to ensure that the data used in the study is represented. This is the reason why all the data points are linked to show how a company performs. The rationale behind this method is to show that apart from ensuring that the data is visually presented, a linear linkage is also represented to show the performance in the email advertisement. This indicates that the response rate will be a determining factor because of the cause-and-effect relationship against the response rate.

From this evaluation, the data collected concerns the process of email advertisement and the methods used to improve its response rate. The company needs to implement two actions to make sure that the response of e-mail advertisement increases (Creswell, 2014). In the summary data table, for instance, the three linear graphs show that the company needs to develop a new e-mail heading and body to ensure that the response rate grows higher. The rationale for this is that text e-mails derived from e-mail body and detailed e-mail derived from the heading have high levels of openings and response for the two replicates.

If the company adopted a linear regression model because of the cause-and-effect relationship, then only a single key factor would be compared, and this will not improve the response rate. This means that when it adapts the multiple regression model, then the strategy will be appropriate and this will make the company have the potential of increasing its response rate thus making the business process effective (Creswell, 2014). This proposal creates a rationale that the prediction of cause-and-effect on e-mail advertising will be sufficient.

For instance, if the company uses the design experiment to test the business processes as well as the cause-and-effect relationship, it means that it has to adopt the e-mail headings and the e-mail body to increase both its response rate and levels of opening. The multiple linear regression, in this case, will be of help to the cause-and-effect relationship as compared to when it is individually operated (Creswell, 2014). The reason behind using this method is to make sure that e-mail advertising uses specific vital factors for the company's growth.

Conclusion

The DOE can be used to test the cause-and-effect relationship in the processes the business users by using accurate graphical display tools and appropriate tools. When the company implements different actions, it's noticeable that the response rate increased. Since E-mail marketing is a system that can gain significant attention because its conveniency, cost-effective, and best method of advertising, the evaluation is done under the summary data placed in three key factors of e-mail advertisement. This means that the response rate is determined by the email advertisement factors. The company needs to implement two actions to make sure that the response of e-mail advertisement increases.

In other words, the response rate will be a determining factor because of the cause-and-effect relationship against the response rate. The multiple linear regression, in this case, will be of help to the cause-and-effect link as compared to when it is individually operated. The rationale for this is that text e-mails derived from e-mail body, detailed e-mail derived from the heading have high levels of openings and response for the two replicates. In short, the three critical factors of e-mail advertisement should be implemented for the business to grow.

References

Creswell, J.W. (2014). Research design: Qualitative and Quantitative approaches (3rd ed.). Thousand Oaks, California: Sage

Sekaran, U. (2010). Research Methods for Business. Hoboken, NJ: John Wiley & Sons, Inc