Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity
Published Online:3 May 2016https://doi.org/10.1287/mksc.2015.0963
References
- (2009) Counting your customers one by one: A hierarchical Bayes extension to the Pareto/NBD model. Marketing Sci. 28(3):541–553.Link, Google Scholar
- (1999) A dynamic model of purchase timing with application to direct marketing. J. Amer. Statist. Assoc. 94(446):365–374.Crossref, Google Scholar
- (2005) The origin of bursts and heavy tails in human dynamics. Nature 435:207–211.Crossref, Google Scholar
- (2015) Predictive analytics for readmission of patients with congestive heart failure. Inform. Systems Res. 26(1):19–39.Link, Google Scholar
- (2007) Empirical validation and comparison of models for customer base analysis. Internat. J. Res. Marketing 24(3):201–209.Crossref, Google Scholar
- (2012) Modeling purchasing behavior with sudden death: A flexible customer lifetime model. Management Sci. 58(5):1012–1021.Link, Google Scholar
- (2008) Customer lifetime value measurement. Management Sci. 54(1):100–112.Link, Google Scholar
- (1973) A consumer purchasing model with Erlang inter-purchase time. J. Amer. Statist. Assoc. 68(344):828–835.Crossref, Google Scholar
- (1999) A stochastic RFM model. J. Interactive Marketing 13(3):2–12.Crossref, Google Scholar
- (2010) Customer-base analysis in noncontractual settings. Unpublished doctoral thesis, Northwestern University, Evanston, IL.Google Scholar
- (1983) An investigation of the assumptions of the NBD model as applied to purchasing at individual stores. Appl. Statist. 32(3):249–259.Crossref, Google Scholar
- (2014) BTYD: Implementing buy ’til you die models. http://CRAN.R-project.org/package=BTYD.Google Scholar
- (2011) Rcpp: Seamless R and C++ integration. J. Statist. Software 40(8):1–18.Crossref, Google Scholar
- (2013) Customer Centricity: Focus on the Right Customers for Strategic Advantage (Wharton Executive Essentials, Philadelphia).Google Scholar
- (2001) Forecasting repeat sales at CDNOW: A case study. Interfaces 31(3 suppl):S94–S107.Link, Google Scholar
- (2007) Incorporating time-invariant covariates into the Pareto/NBD and BG/NBD models. http://www.brucehardie.com/notes/019.Google Scholar
- (2009) Probability models for customer-base analysis. J. Interactive Marketing 23(1):61–69.Crossref, Google Scholar
- (2004) A dynamic changepoint model for new product sales forecasting. Marketing Sci. 23(1):50–65.Link, Google Scholar
- (2005a) “Counting your customers” the easy way: An alternative to the Pareto/NBD model. Marketing Sci. 24(2):275–284.Link, Google Scholar
- (2005b) RFM and CLV: Using ISO-value curves for customer base analysis. J. Marketing Res. 42(4):415–430.Crossref, Google Scholar
- (2010) Customer-base analysis in a discrete-time noncontractual setting. Marketing Sci. 29(6):1086–1108.Link, Google Scholar
- (1992) Inference from iterative simulation using multiple sequences. Statist. Sci. 7(5):457–472.Crossref, Google Scholar
- (1991) Stochastic models of interpurchase time with time-dependent covariates. J. Marketing Res. 28(1):1–15.Crossref, Google Scholar
- (2006) Modeling customer lifetime value. J. Service Res. 9(2):139–155.Crossref, Google Scholar
- (1971) A probabilistic market model of purchase timing and brand selection. Management Sci. 18(4):102–112.Link, Google Scholar
- (2007) Customer base analysis: The case for a central variant of the Betageometric/NBD model. Marketing ZFP–J. Res. Management 3(2):75–90.Crossref, Google Scholar
- (2011) New perspectives on customer “death” using a generalization of the Pareto/NBD model. Marketing Sci. 30(5):866–880.Link, Google Scholar
- (2008) Customer Lifetime Value: The Path to Profitability (Now Publishers, Hanover, MA).Google Scholar
- (2008) The power of CLV: Managing customer lifetime value at IBM. Marketing Sci. 27(4):585–599.Link, Google Scholar
- (2007) The MCMC approach for solving the Pareto/NBD model and possible extensions. Proc. Third Internat. Conf. Natural Comput., Vol. 2 (IEEE Computer Society, Los Alamitos, CA), 505–512.Crossref, Google Scholar
- (2001) Assessing the performance of direct marketing scoring models. J. Interactive Marketing 15(1):49–62.Crossref, Google Scholar
- (2009) The results from the lifetime value and customer equity modeling competition. J. Interactive Marketing 23(3):272–275.Crossref, Google Scholar
- (2005) Can we predict customer lifetime value? J. Interactive Marketing 19(1):2–16.Crossref, Google Scholar
- (1988) Generalizing the NBD model for customer purchases: What are the implications and is it worth the effort? J. Bus. Econom. Statist. 6(2):145–159.Crossref, Google Scholar
- (2003) Slice sampling. Ann. Statist. 31(3):705–741.Crossref, Google Scholar
- (2008) A hidden Markov model of customer relationship dynamics. Marketing Sci. 27(2):185–204.Link, Google Scholar
- (2015) A Bayesian non-parametric Pareto/NBD model: Individual and cluster analysis. Working paper, Pontificia Universidad Católica de Chile, Santiago, Chile.Google Scholar
- R Core Team (2014) R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna).Google Scholar
- (2000) On the profitability of long-life customers in a noncontractual setting: An empirical investigation and implications for marketing. J. Marketing 64(4):17–35.Crossref, Google Scholar
- (2003) Bayesian statistics and marketing. Marketing Sci. 22(3):304–328.Link, Google Scholar
- (1983) Prediction of future random events with the condensed negative binomial distribution. Internat. Amer. Statist. Assoc. 78(382):449–456.Crossref, Google Scholar
- (1994) Customer base analysis: An industrial purchase process application. Marketing Sci. 13(1):41–67.Link, Google Scholar
- (1987) Counting your customers: Who are they and what will they do next? Management Sci. 33(1):1–24.Link, Google Scholar
- (2014) Model selection using database characteristics: Developing a classification tree for longitudinal incidence data. Marketing Sci. 33(2):188–205.Link, Google Scholar
- (2009) Dynamic changepoints revisited: An evolving process model of new product sales. Internat. J. Res. Marketing 26(2):119–124.Crossref, Google Scholar
- (2013) Incorporating direct marketing activity into latent attrition models. Marketing Sci. 32(3):471–487.Link, Google Scholar
- (2011) Portfolio dynamics for customers of a multiservice provider. Management Sci. 57(3):471–486.Link, Google Scholar
- (2006) The path to customer centricity. J. Service Res. 9(2):113–124.Crossref, Google Scholar
- (2009) A generalized framework for estimating customer lifetime value when customer lifetimes are not observed. Quant. Marketing Econom. 7(2):181–205.Crossref, Google Scholar
- (1987) The calculation of posterior distributions by data augmentation. J. Amer. Statist. Assoc. 82(398):528–540.Crossref, Google Scholar
- (2007) Customer equity and lifetime management (CELM) Finnair case study. Marketing Sci. 26(4):553–565.Link, Google Scholar
- (1990) Estimating purchase regularity with two interpurchase times. J. Marketing Res. 27(1):87–93.Crossref, Google Scholar
- (2014) GPU accelerated MCMC for modeling terrorist activity. Comput. Statist. Data Anal. 71:643–651.Crossref, Google Scholar
- (2001) A framework for customer relationship management. California Management Rev. 43(4):89–105.Crossref, Google Scholar
- (2000) A consumer purchasing model with learning and departure behaviour. J. Oper. Res. Soc. 51(5):583–591.Crossref, Google Scholar
- (2008) Instant customer base analysis: Managerial heuristics often “get it right”. J. Marketing 72(3):82–93.Crossref, Google Scholar
- (2013) New measures of clumpiness for incidence data. J. Appl. Statist. 40(11):2533–2548.Crossref, Google Scholar
- (2015) Predicting customer value using clumpiness: From RFM to RFMC. Marketing Sci. 34(2):195–208.Link, Google Scholar

