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Previous research in the area of distributor performance proposed different scales, mostly in western, developed country context. These studies also lacked the consideration of dynamic interaction between variables, which determine the distributor’s performance. This paper proposes a composite Distributor Performance Index (DPI) to evaluate distributors’ performance based on at the “Enables” and “Results”, taking a system dynamics approach. The model results have been discussed and validated, in business marketing channel. The context of this study is India, an emerging market.

Conjoint analysis is a class of techniques for analyzing consumers’ preferences and trade‐offs regarding their selection of products and services. Typically, conjoint analysis has been applied to established markets such as frequently purchased packaged goods, consumer durables, communication services, and business‐to‐business products. Recently, marketing researchers have extended conjoint methodology to cope with the measurement of buyer trade‐offs associated with “really new” products and services, for which there is little or no prior buyer knowledge or experience. The researcher’s task is twofold: to educate the potential buyer regarding the pros and cons of the new product/service while, at the same time, obtaining the respondent’s evaluation of the new product/service itself. This article describes the application of conjoint techniques to a new service, TrafficPulse, that enables subscribers to obtain continuous 24/7 updates on traffic conditions, travel times, and alternative routes, should congestion occur. In particular, describes how traditional conjoint analysis can be embellished to obtain relevant information about consumer evaluations of new goods and services prior to their actual use by prospective consumers. In short, the prospective consumer can be “educated” about the new product/service before obtaining evaluation of its potential worth. The paper also shows how conjoint analysis can be modified to accommodate restrictions on various attribute levels, how the use of BASES‐like norms can be incorporated, and how optimization algorithms can be used at either the single product or multiple product (i.e. product line) level.

Explores the application of expert systems in the field of services marketing. Describes the basics of the technology along with several hypothetical systems. Concludes with a brief examination of costs versus benefits, system design and implementation issues, together with the potential for other artificial intelligence technologies to contribute to the management of services marketing. Notes that advanced applications such as expert systems will dramatically change the competitive landscape of the future.

Examines the effectiveness of advertising in the light of the shift of marketing budgets in favour of promotions. Discusses the reasons for this shift and summarizes studies which show that advertising does work, especially during recessions. Concludes that advertising should not be neglected since, unlike promotions, it both raises sales in the short term and builds brands in the long term.

Considers the nature and extent of sales promotion activity. Examines promotions as a method of protecting a brand in the future, various promotion techniques, and how to prepare for the growth of a promotion. Surmises that the trends that have made promotion so prevalent will continue, so brands that utilize franchise and image‐building promotions will reap rewards in the future.

EuroPet S.A. was a multinational company operating gas stations in many European countries. There was a growing propensity for supermarkets to attach gas stations to their retail operations, which was developing into a major threat to EuroPet. As a result, in the mid-1990s, the company began to develop and brand its own convenience stores co-located with its gas stations. However, the company was spending much more on advertising the convenience stores than its competitors did. Management now had to decide if the increase in sales attributed to advertising efforts justified the advertising spend by analyzing the market data from one large metropolitan area: Marseille, France.

Students will learn: how to use cross-tabs and other marketing research tools to identify segmentation descriptors; how to analyze data and interpret results; and how these research results could guide new product development and positioning strategies in order to effectively target relevant customer segments.

This paper aims to test whether a structured application of persuasion principles might help improve advertising decisions. Evidence-based principles are currently used to improve decisions in other complex situations, such as those faced in engineering and medicine.

Scores were calculated from the ratings of 17 self-trained novices who rated 96 matched pairs of print advertisements for adherence to evidence-based persuasion principles. Predictions from traditional methods – 10,809 unaided judgments from novices and 2,764 judgments from people with some expertise in advertising and 288 copy-testing predictions – provided benchmarks.

A higher adherence-to-principles-score correctly predicted the more effective advertisement for 75 per cent of the pairs. Copy testing was correct for 59 per cent, and expert judgment was correct for 55 per cent. Guessing would provide 50 per cent accurate predictions. Combining judgmental predictions led to substantial improvements in accuracy.

Advertisements for high-involvement utilitarian products were tested on the assumption that persuasion principles would be more effective for such products. The measure of effectiveness that was available –day-after-recall – is a proxy for persuasion or behavioral measures.

Pretesting advertisements by assessing adherence to evidence-based persuasion principles in a structured way helps in deciding which advertisements would be best to run. That procedure also identifies how to make an advertisement more effective.

This is the first study in marketing, and in advertising specifically, to test the predictive validity of evidence-based principles. In addition, the study provides the first test of the predictive validity of the index method for a marketing problem.