Modelling e-mail marketing effectiveness – An approach based on the theory of hierarchy-of-effects

Authors

  • Ángel José Lorente Páramo Universidad Politécnica de Madrid

DOI:

https://doi.org/10.1229/tecempresarialjournal.v17i1.37

Keywords:

Digital Marketing, E-mail Marketing, Hierarchy-of-effects, Online Advertising, Effectiveness, AIDA

Abstract

Despite the importance and pervasiveness of e-mail marketing, improving the effectiveness of e-mail marketing programs continues to be a priority for most businesses due to their revenue-generating potential. However, the study of e-mail marketing has been mostly neglected by academic research. More notably, the lack of holistic approaches and conceptual frameworks to tackle this challenge stand in the way of helping companies to better plan and deploy their e-mail marketing strategies and campaigns. This study addresses this issue by proposing a comprehensive model for the study of e-mail marketing effectiveness based on the hierarchy-of-effects theory. The effectiveness model is built by linking the stages of the AIDA (Attention, Interest, Desire, Action) model to the sequence of steps that consumers undergo when they interact with promotional e-mails. This approach allows identifying different partial effectiveness metrics associated with the cognitive, emotional and conative stages, which are later operationalized through key performance indicators with widespread adoption in the industry (open rate, clickthrough rate, retention rate and conversion rate). Thus, attention is linked to open effectiveness, interest is linked both to click effectiveness and subscriber retention effectiveness, and action is linked to conversion effectiveness. The stage of desire is dropped from the model because it usually takes place outside the e-mail marketing process. The study includes a practical illustration of the adequateness of the framework based on data and results from prior studies.

References

AMA, Deloitte and Duke University, 2017. The CMO Survey. Available at: https://cmosurvey.org/wp-content/uploads/sites/15/2017/08/The_ CMO_Survey-Highlights_and_Insights-Aug-2017.pdf (Accessed: 22 January 2018).

Andersson, M., Fredriksson, M. and Berndt, A., 2014. Open or dele-te: decision-makers attitudes towards e-mail marketing messages. Advances in Social Sciences Research Journal, 1(3), 133-144. doi: 10.14738/assrj.13.201.

Arnold, J., 2008. Email marketing for dummies. 2nd ed. Hoboken, NJ: Wi-ley Publishing, Inc.

Ashcroft, L. and Hoey, C., 2001. PR, marketing and the Internet: impli-cations for information professionals. Library Management. MCB UP Ltd, 22(1/2), 68-74. doi: 10.1108/01435120110358952.

Balakrishnan, R. and Parekh, R., 2015. Learning to predict subject-line opens for large-scale email marketing. Proceedings of the 2014 IEEE International Conference on Big Data, IEEE Bi Data 2014. Washin-gton, DC: IEEE, 57-584. doi: 10.1109/BigData.2014.7004277.

Barnham, C., 2008. Instantiation - Reframing brand communication. International Journal of Market Research, 50(2), 203-220. doi: 10.1177/147078530805000205.

Barry, T.E. and Howard, D.J., 1990. A review and critique of the hie-rarchy of effects in advertising. International Journal of Advertising, 9(2), 121-135. doi: 10.1080/02650487.1990.11107138.

Bauman, A., Bowles, H.R., Huhman, M., Heitzler, C.D., Owen, N., Smith, B.J. and Reger-Nash, B., 2008. Testing a Hierarchy-of-Effects Mo-del. Pathways from Awareness to Outcomes in the VERB Campaign 2002-2003. American Journal of Preventive Medicine. Elsevier, 34(6 SUPPL.), S249-S256. doi: 10.1016/j.amepre.2008.03.015.

Bawm, Z.L. and Nath, R.P.D., 2014. A Conceptual Model for effective email marketing. in 2014 17th International Conference on Compu-ter and Information Technology (ICCIT). Dhaka: IEEE, 250-256. doi: 10.1109/ICCITechn.2014.7073103.

Bonfrer, A. and Drèze, X., 2009. Real-Time Evaluation of E-mail Cam-paign Performance. Marketing Science, 28(2), 251-263. doi: 10.1287/ mksc.1080.0393.

Bruner, G.C. and Kumar, A., 2000. Web commercials and advertising hierarchy-of-effects. Journal of Advertising Research, 40(1-2), 35-42. doi: 10.2501/JAR-40-1-2-35-42.

Candent CG, 2017. 2017 Marketing Spend Study. Available at: http://ca-dentcg.com/wp-content/uploads/2017-Marketing-Spending-Study. pdf (Accessed: 22 January 2018).

Cases, A.S., Fournier, C., Dubois, P.L. and Tanner, J.F., 2010. Web Site spill over to email campaigns: The role of privacy, trust and sho-ppers’ attitudes. Journal of Business Research, 63(9-10), 993-999. doi: 10.1016/j.jbusres.2009.02.028.

Published

2022-01-04

How to Cite

Ángel José Lorente Páramo. (2022). Modelling e-mail marketing effectiveness – An approach based on the theory of hierarchy-of-effects. TEC EMPRESARIAL, 17(1), 14–26. https://doi.org/10.1229/tecempresarialjournal.v17i1.37