This study establishes a theoretical framework and provides empirical evidence related to the motivations and benefits sought by store-loyal customers. From a theoretical perspective, the proposed framework distinguishes utilitarian benefits, such as monetary and time savings, from hedonic benefits, such as shopping enjoyment, inno-vativeness and impulsiveness. From a methodological perspective...

The paper analyzes the decision made by firms to issue one-time coupons as a means of attracting new deal-prone customers. Given the structure of the market and the share of loyal customers, we derive boundaries for the value of the coupon, as well as the optimal face value of the coupon. The main variables which determine the coupon value are: the size of deal-prone and loyal market segments, ...

With the increase of living standards and the sustainable changing patterns of people’s lives, nowadays, hairdressing services have been widely used by people. This paper adopts data mining techniques by combining self-organizing maps (SOM) and K-means methods to apply in RFM (recency, frequency, and monetary) model for a hair salon in Taiwan to segment customers and develop marketing strategie...

Loyalty of customers to a supermarket can be measured in a variety of ways. If a customer tends to buy from certain categories of products, it is likely that the customer is loyal to the supermarket. Another indication of loyalty is based on the tendency of customers to visit the supermarket over a number of weeks. Regular visitors and spenders are more likely to be loyal to the supermarket. Ne...

Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...