A Three-Stage Model of Industrial Trade Show Performance

Trade shows are an important but under-researched component of the promotion mix for most industrial products. In this paper, we develop a three-stage model of trade show performance, relying on different indices of performance at each stage: attraction, contact, and conversion efficiency. We model the impact of preshow promotion, booth space, use of attention-getting techniques, competition, number and training of booth salespeople on the extent of attraction, contact, and conversion. The results from an empirical application using data from 85 firms that participated in a major trade show in 1991 suggest significant and different impact of these variables. In addition, we illustrate how the model can be used to evaluate trade-offs among different decision variables. Finally, we develop some general results implied by our model concerning the optimal allocation of trade show resources.

[1]  Suzette Cavanaugh Setting Objectives and Evaluating the Effectiveness of Trade Show Exhibits , 1976 .

[2]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[3]  David A. Gautsch Specification of Patronage Models for Retail Center Choice , 1981 .

[4]  The use of consumer panels for brand share prediction , 1996 .

[5]  Robert E. Spekman,et al.  An Empirical Investigation of the Information Sources used during the Industrial Buying Process , 1984 .

[6]  G. Lilien,et al.  An International Comparison of the Determinants of Industrial Marketing Expenditures , 1984 .

[7]  Dominique M. Hanssens,et al.  The Effectiveness of Industrial Print Advertisements across Product Categories , 1980 .

[8]  Joseph A. Bellizzi,et al.  Managerial guidelines for trade show effectiveness , 1984 .

[9]  Gary L. Lilien,et al.  Exceptional Paper---ADVISOR 2: Modeling the Marketing Mix Decision for Industrial Products , 1979 .

[10]  Leonard M. Lodish,et al.  CALLPLAN: An Interactive Salesman’s Call Planning System , 1971 .

[11]  Ambar G. Rao,et al.  Modeling Response to Advertising and Pricing Changes for “V-8” Cocktail Vegetable Juice , 1986 .

[12]  P. Naert,et al.  SH.A.R.P.: Shelf Allocation for Retailers' Profit , 1988 .

[13]  A descriptive model of the trade-show budgeting decision process , 1983 .

[14]  J. Parfitt,et al.  Use of Consumer Panels for Brand-Share Prediction , 1968 .

[15]  Roger A. Kerin,et al.  Assessing Trade Show Functions and Performance: An Exploratory Study , 1987 .

[16]  Dominique M. Hanssens,et al.  Market Response Models: Econometric and Time Series Analysis , 1989 .

[17]  L. Lodish,et al.  Sales Force Sizing and Deployment Using a Decision Calculus Model at Syntex Laboratories , 1988 .

[18]  Rabikar Chatterjee,et al.  Analytical Models of Competition with Implications for Marketing: Issues, Findings, and Outlook , 1985 .

[19]  P. Kotler,et al.  Marketing management : analysis, planning, and control , 1973 .

[20]  L. Pol,et al.  Segmenting industrial markets , 1994 .

[21]  Daniel C. Bello Industrial buyer behavior at trade shows , 1992 .