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Impact of advertizing on brand’s market-shares in the automobile market:: a multi-channel attraction model with competition and carry-over effects

Author

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  • Morais, Joanna
  • Thomas-Agnan, Christine
  • Simioni, Michel

Abstract

This article presents a new approach to measure the impact of multi-channel advertising investments on brands’ market shares in the main segment of the French automobile market. We propose a multi-channel attraction model with adstock, in order to take into account the advertising carryover effect and the competition. This model allows to distinguish between short term and long term effect of the advertising. As, from a mathematical point of view, a vector of market shares is a composition belonging to the simplex space, i.e. subject to positivity and summing up to one contraints, we take benefit from the compositional data analysis (CODA) literature to estimate properly this model. We show how to determine the carryover parameters for each channel (outdoor, press, radio and television) in a multivariate way. We consider several model specifications with more or less complexity (cross effects between brands), including Dirichlet models, and we compare them using goodness-of-fit and prediction accuracy measures. We explain how to built confidence and prediction ellipsoids in the space of market shares. The impact of each channel on market shares is measured in terms of direct and cross elasticities. We conclude that in this market, radio only has a contemporaneous impact whereas outdoor, press and television have a large decay effect. Moreover, the advertising elasticities vary across brands and channels, and can be negative. It also turns out that positive interactions do exist between certain brands for certain media.

Suggested Citation

  • Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2018. "Impact of advertizing on brand’s market-shares in the automobile market:: a multi-channel attraction model with competition and carry-over effects," TSE Working Papers 18-878, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:32347
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    References listed on IDEAS

    as
    1. Joanna Morais & Christine Thomas-Agnan & Michel Simioni, 2018. "Using compositional and Dirichlet models for market share regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(9), pages 1670-1689, July.
    2. Leonard M. Lodish & Magid M. Abraham & Jeanne Livelsberger & Beth Lubetkin & Bruce Richardson & Mary Ellen Stevens, 1995. "A Summary of Fifty-Five In-Market Experimental Estimates of the Long-Term Effect of TV Advertising," Marketing Science, INFORMS, vol. 14(3_supplem), pages 133-140.
    3. Joanna Morais & Christine Thomas-Agnan & Michel Simioni, 2017. "Interpretation of explanatory variables impacts in compositional regression models," Working Papers hal-01563362, HAL.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Market response model; fully extended multiplicative competitive interaction model; carryover effect; adstock; Koyck model; compositional data analysis; automobile market; multi channel advertising;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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