ABSTRACT
The supermarkets often use sales promotions to attract customers and create brand loyalty. They would often like to know if their promotions are effective for various customers, so that better timing and more suitable rate can be planned in the future. Given a transaction data set collected by an Australian national supermarket chain, in this paper we conduct a case study aimed at discovering customers' long-term purchase patterns, which may be induced by preference changes, as well as short-term purchase patterns, which may be induced by promotions. Since purchase events of individual customers may be too sparse to model, we propose to discover a number of latent purchase patterns from the data. The latent purchase patterns are modeled via a mixture of non-homogeneous Poisson processes where each Poisson intensity function is composed by long-term and short-term components. Through the case study, 1) we validate that our model can accurately estimate the occurrences of purchase events; 2) we discover easy-to-interpret long-term gradual changes and short-term periodic changes in different customer groups; 3) we identify the customers who are receptive to promotions through the correlation between behavior patterns and the promotions, which is particularly worthwhile for target marketing.
- P. Adamopoulos and V. Todri. The effectiveness of marketing strategies in social media: Evidence from promotional events. In Proceedings of the 21th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, pages 1641--1650. ACM, 2015. Google ScholarDigital Library
- G. M. Allenby, R. P. Leone, and L. Jen. A dynamic model of purchase timing with application to direct marketing. Journal of the American Statistical Association, 94(446):365--374, 1999.Google ScholarCross Ref
- R. E. Bucklin, S. Gupta, and S. Siddarth. Determining segmentation in sales response across consumer purchase behaviors. Journal of Marketing Research, pages 189--197, 1998.Google Scholar
- C. Chatfield and G. J. Goodhardt. A consumer purchasing model with erlang inter-purchase times. Journal of the American Statistical Association, 68(344):828--835, 1973.Google Scholar
- D. Dong and H. M. Kaiser. Studying household purchasing and nonpurchasing behaviour for a frequently consumed commodity: two models. Applied Economics, 40(15):1941--1951, 2008.Google ScholarCross Ref
- A. S. Ehrenberg. The pattern of consumer purchases. Applied Statistics, pages 26--41, 1959.Google Scholar
- T. Iwata, S. Watanabe, T. Yamada, and N. Ueda. Topic tracking model for analyzing consumer purchase behavior. In Proc. of the 22nd Int'l Joint Conf. on Artificial Intelligence, pages 1427--143. AAAI Press, 2009. Google ScholarDigital Library
- H. Kim, N. Takaya, and H. Sawada. Tracking temporal dynamics of purchase decisions via hierarchical time-rescaling model. In Proc. of the 23rd ACM Int'l Conf. on Information and Knowledge Management, pages 1389--1398. ACM, 2014. Google ScholarDigital Library
- K. Kopperschmidt and W. Stute. Purchase timing models in marketing: a review. AStA Advances in Statistical Analysis, 93(2):123--149, 2009.Google ScholarCross Ref
- P. Kotler and G. Armstrong. Principles of marketing. pearson education, 2010.Google Scholar
- B. Li, X. Zhu, R. Li, C. Zhang, X. Xue, and X. Wu. Cross-domain collaborative filtering over time. In Proc. of the 22nd Int'l Joint Conf. on Artificial Intelligence, pages 2293--2298. AAAI Press, 2011. Google ScholarDigital Library
- L. Luo, B. Li, I. Koprinska, S. Berkovsky, and F. Chen. Who will be affected by supermarket health programs? Tracking customer behavior changes via preference modeling. In Pacific Asia Conference on Knowledge Discovery and Data Mining, volume 9651, pages 527--539. Springer, 2016.Google ScholarCross Ref
- D. G. Morrison and D. C. Schmittlein. Generalizing the NBD model for customer purchases: What are the implications and is it worth the effort? Journal of Business & Economic Statistics, 6(2):145--159, 1988.Google Scholar
- P. E. Rossi, R. E. McCulloch, and G. M. Allenby. The value of purchase history data in target marketing. Marketing Science, 15(4):321--340, 1996. Google ScholarDigital Library
- J. N. Sheth, B. Mittal, and B. I. Newman. Customer behavior: consumer behavior and beyond. Dryden Press Fort Worth, TX., 1999.Google Scholar
Index Terms
- Discovering Temporal Purchase Patterns with Different Responses to Promotions
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