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Quantitative Marketing and Economics

, Volume 15, Issue 3, pp 241–278 | Cite as

The impact of advertising along the conversion funnel

  • Stephan SeilerEmail author
  • Song Yao
Article

Abstract

We assemble a unique data set that combines information on supermarket feature advertising with path-tracking data on consumers’ movement within the store as well as purchase information. Using these novel data, we trace out how advertising affects consumer behavior along the path-to-purchase. We find advertising has no significant effect on the number of consumers visiting the category being advertised. The null effect is precisely estimated. At the upper bound of the confidence interval, a one-standard-deviation shift in advertising increases category traffic by only 1.3%. We do find a significant effect at the lower end of the conversion funnel. A one-standard-deviation change in advertising (evaluated at the point estimate) increases category-level sales by 10%. We further decompose the impact on sales and find the increase is driven by the same number of consumers buying a larger number of products of the same brand. We find no evidence of spillover effects of advertising between categories that are stocked in proximity of each other, nor between different products in the same category. Two mechanisms are consistent with these patterns: consumers retrieve memory of the ad only when interacting with the category or only consumers wanting to purchase the brand choose to consume the ad.

Keywords

Advertising Conversion funnel Spillovers Path-tracking data 

JEL Classification

L81 M31 M37 

References

  1. Anderson, E., Malin, B.A., Nakamura, E., Simester, D., & Steinsson, J. (2016). Informational rigidities and the stickiness of temporary sales. Journal of Monetary Economics, forthcoming.Google Scholar
  2. Anderson, E.T., & Simester, D. (2013). Advertising in a competitive market: the role of product standards, customer learning, and switching costs. Journal of Marketing Research, 50, 489–504.CrossRefGoogle Scholar
  3. Bagwell, K. (2007). The economic analysis of advertising. In M. Armstrong, & R. Porter (Eds.), Handbook of industrial organization. Elsevier Science, (Vol. 3 pp. 1701–1844).Google Scholar
  4. Blattberg, R.C., & Neslin, S.A. (1990). Sales promotion: concepts, methods and strategies, 2nd edn. Prentice Hall.Google Scholar
  5. Bodapati, A.V., & Srinivasan, V. (2006). The impact of feature advertising on customer store choice. Working Paper.Google Scholar
  6. Bronnenberg, B.J., Kim, J.B., & Mela, C.F. (2016). Zooming in on choice: how do consumers search for cameras online? Marketing Science, 35, 693–712.CrossRefGoogle Scholar
  7. Bronnenberg, B.J., Kruger, M.W., & Mela, C.F. (2008). The IRI marketing data set. Marketing Science, 27, 745–748.CrossRefGoogle Scholar
  8. Cameron, A.C., Gelbach, J.B., & Miller, D.L. (2008). Bootstrap-based improvements for inference with clustered errors. The Review of Economics and Statistics, 3, 414–427.CrossRefGoogle Scholar
  9. Chan, T., Ma, Y., Narasimhan, C., & Singh, V. (2006). An empirical analysis of store competition. Working Paper.Google Scholar
  10. Chen, Y., & Yao, S. (2016). Sequential search with refinement: model and application with click-stream data. Management Science, forthcoming.Google Scholar
  11. De Los Santos, B.I., Hortacsu, A., & Wildenbeest, M. (2012). Testing models of consumer search using data on web browsing and purchasing behavior. American Economic Review, 102, 2955–2980.CrossRefGoogle Scholar
  12. Erdem, T., Imai, S., & Keane, M.P. (2003). Brand and quantity choice dynamics under price uncertainty. Quantitative Marketing and Economics, 1, 5–64.CrossRefGoogle Scholar
  13. Hendel, I., & Nevo, A. (2006). Measuring the implications of sales and consumer inventory behavior. Econometrica, 74, 1637–1673.CrossRefGoogle Scholar
  14. Honka, E., Hortacsu, A., & Vitorino, M.A. (2016). Advertising, consumer awareness and choice: Evidence from the U.S. Banking Industry. RAND Journal of Economics, forthcoming.Google Scholar
  15. Hui, S.K., Bradlow, E.T., & Fader, P.S. (2009a). The traveling salesman goes shopping: the systematic deviations of grocery paths from TSP optimality. Marketing Science, 28, 566–572.Google Scholar
  16. Hui, S.K., Fader, P.S., & Bradlow, E.T. (2009b). Path data in marketing: an integrative framework and prospectus for model building. Marketing Science, 28, 320–335.Google Scholar
  17. Hui, S.K., Huang, Y., Suher, J., & Inman, J. (2013a). Deconstructing the first moment of truth: understanding unplanned consideration and purchase conversion using In-Store video tracking. Journal of Marketing Research, 50, 445–462.Google Scholar
  18. Hui, S.K., Inman, J., Huang, Y., & Suher, J. (2013b). Estimating the effect of travel distance on unplanned spending: applications to mobile promotion strategies. Journal of Marketing, 77, 1–16.Google Scholar
  19. Jedidi, K., Mela, C.F., & Gupta, S. (1999). Managing advertising and promotion for long-run profitability. Marketing Science, 18, 1–22.CrossRefGoogle Scholar
  20. Johnson, G.A., Lewis, R., & Nubbemeyer, E. (2016). The online display ad effectiveness funnel & carry-over: a meta-study of ghost ad experiments. Working Paper.Google Scholar
  21. Keller, K.L. (1987). Memory factors in advertising: the effect of advertising retrieval cues on brand evaluations. Journal of Consumer Research, 14, 316–333.CrossRefGoogle Scholar
  22. Kim, J.B., Albuquerque, P., & Bronnenberg, B.J. (2010). Online demand under limited consumer search. Marketing Science, 29, 1001–1023.CrossRefGoogle Scholar
  23. Lee, A.Y. (2002). Effects of implicit memory on memory-based versus stimulus-based brand choice. Journal of Marketing Research, 39, 440–454.CrossRefGoogle Scholar
  24. Lee, A.Y., & Labroo, A.A. (2004). The effect of conceptual and perceptual fluency on brand evaluation. Journal of Marketing Research, 41, 151–165.CrossRefGoogle Scholar
  25. Lewis, R.A., & Nguyen, D. (2014). A Samsung Ad for the iPad? Display advertising’s competitive spillovers to search. Working Paper.Google Scholar
  26. Lewis, R.A., & Rao, J.M. (2015). The unfavorable economics of measuring the returns to advertising*. The Quarterly Journal of Economics, 130, 1941.CrossRefGoogle Scholar
  27. Lewis, R.A., & Reiley, D.H. (2014). Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo! Quantitative Marketing and Economics, 12, 235–266.CrossRefGoogle Scholar
  28. Mela, C.F., Gupta, S., & Lehmann, D.R. (1997). The long-term impact of promotion and advertising on consumer brand choice. Journal of Marketing Research, 34, 248–261.CrossRefGoogle Scholar
  29. Osborne, M. (2011). Consumer learning, switching costs and heterogeneity: a structural examination. Quantitative Marketing and Economics, 9, 25–70.CrossRefGoogle Scholar
  30. Quelch, J.A., & Court, A.M. (1983). PROCTER & GAMBLE CO. (B). HBS Case, 584048.Google Scholar
  31. Rossi, P.E. (2014). Invited paper – even the rich can make themselves poor: a critical examination of IV methods in marketing applications. Marketing Science, 33, 655–672.CrossRefGoogle Scholar
  32. Sahni, N.S. (2016). Advertising spillovers: evidence from online field experiments and implications for returns on advertising. Journal of Marketing Research, 53, 459–478.CrossRefGoogle Scholar
  33. Sahni, N.S., Zou, D., & Chintagunta, P.K. (2016). Do targeted discount offers serve as advertising? Evidence from 70 field experiments. Management Science, forthcoming.Google Scholar
  34. Seiler, S., & Pinna, F. (2016). Estimating search benefits from path-tracking data: measurement and determinants. Marketing Science, forthcoming.Google Scholar
  35. Shapiro, B.T. (2016). Positive spillovers and free riding in advertising of prescription pharmaceuticals: The case of antidepressants. Journal of Political Economy, forthcoming.Google Scholar
  36. Sorensen, H. (2003). The science of shopping. Marketing Research, 15, 31–35.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Stanford UniversityStanfordUSA
  2. 2.Northwestern UniversityEvanstonUSA

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