2006
DOI: 10.1016/j.ejor.2005.03.028
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Maximizing profit of a food retailing chain by targeting and promoting valuable customers using Loyalty Card and Scanner Data

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Cited by 29 publications
(19 citation statements)
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“…For the second of these options, the information that can be drawn from loyalty cards may be particularly useful. Pauler and Dick (2005), for example, present a model in which customer loyalty-card data are used to segment households, with a view to maximizing the profitability of pricing and promotion policies based on elasticity estimates across segments. Tao and Yeh (2003) also present a method that can be applied to improve customer retention in the credit card industry.…”
Section: Loyalty Cards and The Information They Provide For Retail Mamentioning
confidence: 99%
“…For the second of these options, the information that can be drawn from loyalty cards may be particularly useful. Pauler and Dick (2005), for example, present a model in which customer loyalty-card data are used to segment households, with a view to maximizing the profitability of pricing and promotion policies based on elasticity estimates across segments. Tao and Yeh (2003) also present a method that can be applied to improve customer retention in the credit card industry.…”
Section: Loyalty Cards and The Information They Provide For Retail Mamentioning
confidence: 99%
“…Uncles 1994;Sharp and Sharp 1997;Lal and Bell 2003;Mauri 2003) show that loyalty schemes are of value to the supply side as they establish long term customer relationships, increase revenues, and generate valuable information about customers' shopping behavior (e.g. Ziliani and Bellini 2004;Pauler and Dick 2006). Loyalty, in terms of the share of visits to a specific store, and profits are found to be positively correlated (e.g.…”
Section: Introductionmentioning
confidence: 95%
“…In RFM model, Frequency and Monetary are whole-time aggregates. In fact, they do not reflect the value of newly joined customers who have the potential to become big spenders [14] [2]. Consequently, RFM will undervalue these customers.…”
Section: Rfmg Modelmentioning
confidence: 99%
“…One is to build customer loyalty. The other is to provide a source of useful data on customer behavior that can later be used to aid future CRM efforts [2].…”
Section: Introductionmentioning
confidence: 99%