In conclusion, we note that the potential importance and/or irrelevance of variables to market segmentation problems depend strongly on individual cases. The simple illustration which was used here is a case in point. Classification of buyers as specialist or nonspecialist within a profession was all that was needed to deal effectively with both media readership and product usage. A large pool of additional socioeconomic variables could contribute little useful new information. In the media market segments which were discussed in the first section of this paper, consumers could be placed in groups which yielded a diffuse set of potentially useful descriptive variables. Some of these have been noted. In general, we would be surprised to find media market segments for consumer goods with very simple structures. More surprising would be segments that were most effectively defined exclusively by socioeconomic variables of the traditional type. Sets of variables that can be related to potential marketing actions are needed. For this purpose, socioeconomic variables hold only modest promise since they are indirectly connected to market motivation and behavior. The arty, fashion-conscious consumer appears in many age and income levels. So do skiing buffs, weight watchers, and sports-car enthusiasts. It is not easy to deny the relevance of these activities and attitudes to selected types of purchase and use patterns and to the marketing strategies designed to influence buying decisions. Starting with thoughtfully developed media market segments, sets of allied descriptive variables should follow naturally from consideration of the product's characteristics and the relevant media exposure patterns. Furthermore, it is natural to assess the effectiveness of media in relation to the consumers in a media market segment. The subjective estimates of effectiveness and media climate will be more realistic, and relatively few estimates are required. The facts underline intuitive appeal and simplicity of the model and the data. In the future, we hope that detailed readership, viewing, and listening data will be gathered in conjunction with market-related attitude, interest, and opinion data (AIO). Also, data on product usage, life-style, and market-connected personality and skill characteristics of consumers should be obtained along with the full range of demographic measures. It seems clear that analysts are now finding ways to process this broad information base in a way which will markedly assist managers in making more thoughtful strategic advertising decisions. The usual measures of media reach, frequency, duplicated audiences, demographic composition of audiences, cost per exposure, etc., disappear as critical dimensions of the allocation problem. Instead, results are expressed, as they should be, in terms of dollars of new sales produced per additional dollar efficiently spent on media purchases. [ABSTRACT FROM AUTHOR]