Gerald Goodhardt

Gerald Goodhardt
Born 1930
Occupation Academic, Visiting Research Professor at University of South Australia, London South Bank University and Kingston University
Title Professor
Spouse(s) Valerie Goodhardt
Children Catherine, Ian
Notes
Fellow of the Royal Statistical Society: Chairman, General Applications Section (1976-78); Council Member (1978-81); Hon. Secretary (1982-88). Fellow of the Market Research Society: Gold Medal (1967); Chairman (1973-74); Vice-President (1974-77); New Gold Medal (“for an exceptional contribution to market research over very many years”) (1996).

Gerald Goodhardt (born 1930) is a marketing scientist.

Career

Professor Goodhardt began his career working as a statistician for Attwood Panels, and later Aske Research with Andrew Ehrenberg. From 1981-95 he was Sir John E Cohen Professor of Consumer Studies at The City University Business School.

Apart from being the Chairman of the Board at the Ehrenberg-Bass Institute for Marketing Science, Professor Gerald Goodhardt is Emeritus Professor, City University; Visiting Professor, Kingston University and also a Visiting Research Associate, South Bank University. Formerly Sir John E Cohen Professor of Consumer Studies, and Dean of the City University Business School, Gerald has spent 20 years in industry and commerce prior to 20 years as an academic. He has served as Chairman of the Market Research Society (Gold Medalist in 1969 and 1996) and as Honorary Secretary of the Royal Statistical Society. Gerald was also founding President of the Market Research Benevolent Association. Published extensively in marketing and statistical journals, mainly in quantitative aspects of consumer behaviour and the audience's use of broadcast media.

Research

In the early 1980s, with Andrew Ehrenberg and Chris Chatfield, he extended the NBD model to account for brand choices. Finally published in 1984[1] the NBD-Dirichlet model of brand choice successfully modeled the repeated category and brand purchases within a wide variety of markets. 'The Dirichlet', as it became known, accounts for a number of empirical generalisations, including Double Jeopardy, the Duplication of Purchase law, and Natural Monopoly.[2] It has been shown to hold over different product categories, countries, time, and for both subscription and repertoire repeat-purchase markets.[3] It has been described as one of the most famous empirical generalisations in marketing. Independently, Bemmaor [4][5] and Schmittlein, Bemmaor and Morrison[6] published the same model in Marketing Science and showed a variety of its statistical properties, in particular when it reduces to the simple NBD model. They labelled the univariate model as Beta Binomial/Negative Binomial Distribution (NBD/BB in Bemmaor 1981 and BB/NBD in Schmittlein, Bemmaor and Morrison 1985). The model has since been extensively applied both by academics and marketing research consultancy firms.

References

  1. ↑ Goodhardt, Gerald J., Andrew S.C. Ehrenberg, and Christopher Chatfield (1984), "The Dirichlet: A Comprehensive Model of Buying Behaviour," Journal of the Royal Statistical Society, 147 (part 5), 621-55.
  2. ↑ Ehrenberg, Andrew S.C., Mark D. Uncles, and Gerald G. Goodhardt (2004), "Understanding Brand Performance Measures: Using Dirichlet Benchmarks," Journal of Business Research, 57 (12), 1307-25.
  3. ↑ Sharp, Byron, Malcolm Wright, and Gerald Goodhardt (2002), "Purchase loyalty is polarised into either repertoire or subscription patterns," Australasian Marketing Journal, 10 (3), 7.
  4. ↑ Bemmaor, A. C.(1981a) "Stochastic Modeling of Consumer Purchase Behavior: I. Analytical Results", Working paper No. 81006, ESSEC Business School, Cergy-Pontoise, France.
  5. ↑ Bemmaor, A. C.(1981b) "Stochastic Modeling of Consumer Purchase Behavior: II. Applications", Working paper No. 81007, ESSEC Business School, Cergy-Pontoise, France.
  6. ↑ Schmittlein, D. C., A. C. Bemmaor and D. G. Morrison (1985) "Why Does the NBD Model Work? Robustness in Representing Product Purchases, Brand Purchases and Imperfectly Recorded Purchases," Marketing Science, Vol. 4, No. 3, 255-266.
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