Abstract
Email marketing provides one of the best methods for direct communication with consumers. However, the success rate of an e-mail marketing campaign is often low because of its generic content and inadequate segmentation of customers. This paper aims to showcase the application of a two-step personalization process to improve effective open and click rates for email marketing campaigns. Consumer behaviour is monitored over a period of time in terms of email opens and click pattern. This behaviour is stream-lined into keywords sorted in order of user preference. The keywords are updated at regular intervals to account for behavioural changes in user preference. While sending the email, keywords relevant to the campaign are picked individually for each user. These keywords are used to form attractive subject lines using probabilistic language models such as noisy channel model (Mark and Charniak, Proceeedings of the 42nd annual meeting on association for computational linguistics, 2004) and hidden Markov model (Lawrence and Juang, Fundamentals of speech recognition, 1993).
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References
Bahl, L. R., Jelinek, F., & Mercer, R. L. (1983). A maximum likelihood approach to continuous speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(2), 179–190.
Baker, J. K. (1990). Stochastic modeling for automatic speech understanding. In A. Waibel & K. F. Lee (Eds.), Readings in Speech Recognition, pp. 297–307.
Brants, T., Popat, A. C., Xu, P., Och, F. J., & Dean, J. (2007). Large language models in machine translation. In EMNLP/CoNLL.
https://blog.kissmetrics.com/how-netflix-uses-analytics/, 20 Feb 2017.
http://www.internetlivestats.com/internet-users/india/, 20 Feb 2017.
Experian Marketing Services (2016). The 2016 Digital Marketer Survey.
Gomez-Uribe, C. A., & Hunt, N. (2016). The Netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems (TMIS) 6(4), 13.
http://www.business-standard.com/article/companies/flipkart-grows-user-base-to-100-million-116092100216_1.html, 20 Feb 2017.
http://www.huffingtonpost.com/2012/03/27/email-connects-the-world_n_1381854.html, 20 Feb 2017.
Jelinek, F. (1985). Markov source modeling of text generation. In The Impact of Processing Techniques on Communications. Springer, Netherlands, pp. 569–591.
Lawrence, L. R., & Juang, B. H. (1993). Fundamentals of speech recognition.
Mark, J., & Charniak, E. (2004). A TAG-based noisy channel model of speech repairs. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics.
Markov, A. A. (1913). Essai d’une recherche statistique sur le texte du roman “Eugene Onegin” illustrant la liaison des epreuve en chain (‘Example of a statistical investigation of the text of “Eugene Onegin” illustrating the dependence between samples in chain’). Izvistia Imperatorskoi Akademii Nauk (Bulletin de l’Acad´emie Imp´eriale des Sciences de St.-P´etersbourg), 7, 153–162.
Octane Marketing (2015). Inbox, Annual State of Marketing in India, Inbox-Report 2015.
Taylor, P., & Black, A. W. (1998). Assigning phrase breaks from part-of-speech sequences. Computer Speech & Language, 12, 99–117.
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Singh, G., Singh, H., Shriwastav, S. (2019). Improving Email Marketing Campaign Success Rate Using Personalization. In: Laha, A. (eds) Advances in Analytics and Applications. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1208-3_8
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DOI: https://doi.org/10.1007/978-981-13-1208-3_8
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