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Leveraging purchase regularity for predicting customer behavior the easy way · Study

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ArticleLeveraging purchase regularity for predicting customer behavior the easy way

Thomas Reutterer2020

Article2020

Leveraging purchase regularity for predicting customer behavior the easy way

Thomas Reutterer · Michael Platzer · Nadine Schröder

27 citations·0/0 files stored·International Journal of Research in Marketing

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Customer churn and segmentation Customer Service Quality and Loyalty Consumer Market Behavior and Pricing

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References

2000On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing 1988Impact of Sales Promotions on When, What, and How Much to Buy 2006Modeling Customer Lifetime Value 1987Counting Your Customers: Who-Are They and What Will They Do Next?2005RFM and CLV: Using Iso-Value Curves for Customer Base Analysis 2005“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model 2009Probability Models for Customer-Base Analysis 1988Generalizing the NBD Model for Customer Purchases: What Are the Implications and Is It Worth the Effort?

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2024Understanding consumer behavior during and after a Pandemic: Implications for customer lifetime value prediction models 2022Two Decades of Research on Consumer Behaviour and Analytics 2023Maximizing Online Revisiting and Purchasing: A Clickstream-Based Approach to Enhancing Customer Lifetime Value 2024An interpretable data-driven approach for customer purchase prediction using cost-sensitive learning 2025A data-driven approach to customer lifetime value prediction using probability and machine learning models

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2016Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activityarticle · 14 shared references 2022Customer base analysis with recurrent neural networksarticle · 12 shared references 2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learningarticle · 11 shared references 2017Marketing Models for the Customer-Centric Firmchapter · 11 shared references 2021The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysisarticle · 11 shared references 2014A multi-category customer base analysisarticle · 11 shared references

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Year2020

Typearticle

Published2020-09-12

VenueInternational Journal of Research in Marketing

ISSN-L0167-8116

Languageen

Citations27

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/j.ijresmar.2020.09.002

openalex_workW3086963313

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