Benefit Segmentation: A Dedsion-oriented Research Tool
نویسنده
چکیده
According to this ar+icle, mos+ techniques of market segmentation rely only on DESCRIPTIVE factors pertaining to purchasers and are not efficient predictors of future buyer behavior. The author proposes an approach whereby market segments are delineated first on the basis of factors with a CAUSAL relationship to future purchase behavior. The belief underlying this segmentat ion strategy is that the benefits which people are seeking in consuming a given product are the basic reasons for the existence of true market segments.
منابع مشابه
Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملIdentification and Prioritization of Accident-Prone Segments using International Roughness Index
During last decades, owing to the increase in a number of vehicles, the rate of accident occurrence grows significantly. Efforts must be made to provide efficient tools to prioritize segments requiring safety improvement and identify influential factors on accidents. This objective of the research was to determine the safety oriented threshold of International Roughness Index (IRI) to recognize...
متن کاملCombining data mining and group decision making in retailer segmentation based on LRFMP variables
Data mining is a powerful tool for firms to extract knowledge from their customers’ transaction data. One of the useful applications of data mining is segmentation. Segmentation is an effective tool for managers to make right marketing strategies for right customer segments. In this study we have segmented retailers of a hygienic manufacture. Nowadays all manufactures do understand that for st...
متن کاملCluster-Based Image Segmentation Using Fuzzy Markov Random Field
Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...
متن کاملHelsinki University of Technology Title: Market Segmentation Approaches in the Mobile Service Business
helsinki university of technology abstract of the master's thesis As smartphones are becoming more common as end-user devices in mobile networks , new advanced mobile services are made accessible to a growing number of users. This broadening user base, however, exhibits a range of distinct needs, characteristics and behavior and therefore a single product or service cannot be expected to satisf...
متن کامل