Skip to main content
Erschienen in: Journal of the Academy of Marketing Science 4/2016

01.07.2016 | Original Empirical Research

Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity

verfasst von: Shuba Srinivasan, Oliver J. Rutz, Koen Pauwels

Erschienen in: Journal of the Academy of Marketing Science | Ausgabe 4/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This study investigates the effects of consumer activity in online media (paid, owned, and earned) on sales and their interdependencies with the traditional marketing mix elements of price, advertising and distribution. We develop an integrative conceptual framework that links marketing actions to online consumer activity metrics along the consumer’s path to purchase (P2P). Our framework proposes that the path to purchase has three basic stages–learning (cognitive), feeling (affective), behavior (conative)—and that these can be measured with novel online consumer activity metrics such as clicking on a paid search ads (cognitive) or Facebook likes and unlikes of the brand (affective). Our empirical analysis of a fast moving consumer good supports a know–feel–do pathway for the low–involvement product studied. We find, for example, that earned media can drive sales. However, we find that the news is not all good as it relates to online consumer activity: higher consumer activity on earned and owned media can lead to consumer disengagement in the form of unlikes. While traditional marketing such as distribution (60%) and price (20%) are the main drivers of sales variation for the studied brand, online owned (10%), (un)earned (3%), and paid (2%) media explain a substantial part of the path to purchase. It is noteworthy that TV advertising (5%) explains significantly less than online media in our case. Overall, our study should help strengthen marketers’ case for building share in consumers’ hearts and minds, as measured through consumer online activity and engagement.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Fußnoten
1
We use both the Augmented Dickey-Fuller test, which maintains evolution as the null hypothesis and the KPSS test which maintains stationarity as the null hypothesis (e.g., Pauwels and Weiss 2008).
 
2
We use the one standard error criterion to judge the statistical significance of each impulse response coefficient (Pesaran and Shin 1998). Standard errors are calculated using a Monte Carlo simulation approach with 1,000 runs in each case (see Horváth 2003).
 
3
To evaluate the accuracy of our GFEVD estimates, we obtain standard errors using Monte Carlo simulations (see Benkwitz et al. 2001).
 
4
Our non-disclosure agreement with the data provider does not allow us to specifically name the product category and brand.
 
5
Because only consumers that like a brand, can unlike it later, this causal relation is similar to that of marriage Granger causing divorce.
 
6
Each equation requires estimation of 9 parameters (the intercept and 1 lag of each endogenous variable). While we have 40 observations, we need to use 1 to take first differences and 1 to include lags, leaving 38 observations for parameter estimation.
 
Literatur
Zurück zum Zitat Achrol, R. S., & Kotler, P. (2011). Frontiers of the marketing paradigm in the third millennium. Journal of the Academy of Marketing Science, 40, 35–52.CrossRef Achrol, R. S., & Kotler, P. (2011). Frontiers of the marketing paradigm in the third millennium. Journal of the Academy of Marketing Science, 40, 35–52.CrossRef
Zurück zum Zitat Ambler, T. (2003). Marketing and the bottom line. Harlow: Prentice Hall. Ambler, T. (2003). Marketing and the bottom line. Harlow: Prentice Hall.
Zurück zum Zitat Anderson, S. P., & Renault, R. (2006). Advertising content. The American Economic Review, 39(1), 305–326. Anderson, S. P., & Renault, R. (2006). Advertising content. The American Economic Review, 39(1), 305–326.
Zurück zum Zitat Benkwitz, A., Lutkepohl, H., & Wolters, J. (2001). Comparison of bootstrap confidence intervals for impulse responses of German monetary systems. Macroeconomic Dynamics, 5, 81–100.CrossRef Benkwitz, A., Lutkepohl, H., & Wolters, J. (2001). Comparison of bootstrap confidence intervals for impulse responses of German monetary systems. Macroeconomic Dynamics, 5, 81–100.CrossRef
Zurück zum Zitat Court, D., Elzinga, D., Mulder, S., &Vetvik, O.J. (2009). The Consumer Decision Journey. McKinsey Quarterly, June. Court, D., Elzinga, D., Mulder, S., &Vetvik, O.J. (2009). The Consumer Decision Journey. McKinsey Quarterly, June.
Zurück zum Zitat Danaher, P. J., & Dagger, T. S. (2013). Comparing the relative effectiveness of advertising channels: a case study of a multimedia blitz campaign. Journal of Marketing Research, 50(4), 517–534.CrossRef Danaher, P. J., & Dagger, T. S. (2013). Comparing the relative effectiveness of advertising channels: a case study of a multimedia blitz campaign. Journal of Marketing Research, 50(4), 517–534.CrossRef
Zurück zum Zitat De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36, 578–596.CrossRef De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36, 578–596.CrossRef
Zurück zum Zitat Dekimpe, M.G., & Hanssens, D.M. (1995). Empirical Generalizations About Market Evolution and Stationarity. Marketing Science, 14(summer, part 2), 109–121. Dekimpe, M.G., & Hanssens, D.M. (1995). Empirical Generalizations About Market Evolution and Stationarity. Marketing Science, 14(summer, part 2), 109–121.
Zurück zum Zitat Dekimpe, M. G., & Hanssens, D. M. (1999). Sustained spending and persistent response: A new look at long-term marketing profitability. Journal of Marketing Research, 36(4), 397-412. Dekimpe, M. G., & Hanssens, D. M. (1999). Sustained spending and persistent response: A new look at long-term marketing profitability. Journal of Marketing Research, 36(4), 397-412.
Zurück zum Zitat Evans, L., & Wells, G. M. (1983). An alternative approach to simulating VAR models. Economic Letters, 12(1), 23–29.CrossRef Evans, L., & Wells, G. M. (1983). An alternative approach to simulating VAR models. Economic Letters, 12(1), 23–29.CrossRef
Zurück zum Zitat Godes, D., Mayzlin, D., Chen, Y., Das, S., Dellarocas, C., Pfeiffer, B., Libai, B., Sen, S., Shi, M., & Verlegh, P. (2005). Firm’s management of social interactions. Marketing Letters, 16(3/4), 415–428. Godes, D., Mayzlin, D., Chen, Y., Das, S., Dellarocas, C., Pfeiffer, B., Libai, B., Sen, S., Shi, M., & Verlegh, P. (2005). Firm’s management of social interactions. Marketing Letters, 16(3/4), 415–428.
Zurück zum Zitat Hanssens, D.M. (2009). Advertising Impact Generalizations in a Marketing Mix Context. Journal of Advertising Research, June, 127–129. Hanssens, D.M. (2009). Advertising Impact Generalizations in a Marketing Mix Context. Journal of Advertising Research, June, 127–129.
Zurück zum Zitat Hanssens, D.M., Parsons, L.J., & Schultz, R.L. (2001). Market Response Models: Econometric and Time Series Analysis. 2nd Edition, Kluwer Academic Publishers. Hanssens, D.M., Parsons, L.J., & Schultz, R.L. (2001). Market Response Models: Econometric and Time Series Analysis. 2nd Edition, Kluwer Academic Publishers.
Zurück zum Zitat Hanssens, D., Pauwels, K., Srinivasan, S., Vanhuele, M., & Yildirim, G. (2014). Consumer attitude metrics for guiding marketing Mix decisions. Marketing Science, 33(4), 534–550.CrossRef Hanssens, D., Pauwels, K., Srinivasan, S., Vanhuele, M., & Yildirim, G. (2014). Consumer attitude metrics for guiding marketing Mix decisions. Marketing Science, 33(4), 534–550.CrossRef
Zurück zum Zitat Hirschman, A. O. (1970). Organizations, and States. Harvard: University press. Exit, Voice, and Loyalty: Responses to Decline in Firms. Hirschman, A. O. (1970). Organizations, and States. Harvard: University press. Exit, Voice, and Loyalty: Responses to Decline in Firms.
Zurück zum Zitat Horváth, C. (2003). Dynamic Analysis of Marketing Systems. Doctoral Thesis, University of Groningen, Alblasserdam: Labyrinth Publication. Horváth, C. (2003). Dynamic Analysis of Marketing Systems. Doctoral Thesis, University of Groningen, Alblasserdam: Labyrinth Publication.
Zurück zum Zitat Keller, K., & Lehmann, D. (2006). Brands and Branding: Research Findings and Future Priorities. Marketing Science, 25(November-December), 740–759. Keller, K., & Lehmann, D. (2006). Brands and Branding: Research Findings and Future Priorities. Marketing Science, 25(November-December), 740–759.
Zurück zum Zitat Kotler, P., & Keller, K. (2012). Marketing management (14th ed.). Upper Saddle: Pearson Prentice-Hall. Kotler, P., & Keller, K. (2012). Marketing management (14th ed.). Upper Saddle: Pearson Prentice-Hall.
Zurück zum Zitat Lautman, M. R., & Pauwels, K. (2009). What is important? identifying metrics that matter. Journal of Advertising Research, 49(3), 339–359.CrossRef Lautman, M. R., & Pauwels, K. (2009). What is important? identifying metrics that matter. Journal of Advertising Research, 49(3), 339–359.CrossRef
Zurück zum Zitat Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: an empirical model and a field experiment. Journal of Marketing Research, 51(1), 40–56.CrossRef Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: an empirical model and a field experiment. Journal of Marketing Research, 51(1), 40–56.CrossRef
Zurück zum Zitat Moe, W., & Schweidel, D. (2012). Online product opinions: Incidence, evaluation, and evolution. Marketing Science, 31(3), 372–386.CrossRef Moe, W., & Schweidel, D. (2012). Online product opinions: Incidence, evaluation, and evolution. Marketing Science, 31(3), 372–386.CrossRef
Zurück zum Zitat Naik, P., & Peters, K. (2009). A hierarchical marketing communications model of online and offline media synergies. Journal of Interactive Marketing, 23(4), 288–299.CrossRef Naik, P., & Peters, K. (2009). A hierarchical marketing communications model of online and offline media synergies. Journal of Interactive Marketing, 23(4), 288–299.CrossRef
Zurück zum Zitat Ofcom (2013). Communications Market Report 2013. White paper. Ofcom (2013). Communications Market Report 2013. White paper.
Zurück zum Zitat Onishi, H., & Manchanda, P. (2012). Marketing activity, blogging, and sales. International Journal of Research in Marketing, 29(3), 221–234.CrossRef Onishi, H., & Manchanda, P. (2012). Marketing activity, blogging, and sales. International Journal of Research in Marketing, 29(3), 221–234.CrossRef
Zurück zum Zitat Pauwels, K., & Hanssens, D. M. (2007). Performance regimes and marketing policy shifts. Marketing Science, 26(3), 293–311.CrossRef Pauwels, K., & Hanssens, D. M. (2007). Performance regimes and marketing policy shifts. Marketing Science, 26(3), 293–311.CrossRef
Zurück zum Zitat Pauwels, K., & van Ewijk, B. (2014). Do Online Behavior Tracking or Attitude Survey Metrics Drive Brand Sales? An Integrative Model of Attitudes and Actions on the Consumer Boulevard. Marketing Science Institute, Working Paper #13-118. Pauwels, K., & van Ewijk, B. (2014). Do Online Behavior Tracking or Attitude Survey Metrics Drive Brand Sales? An Integrative Model of Attitudes and Actions on the Consumer Boulevard. Marketing Science Institute, Working Paper #13-118.
Zurück zum Zitat Pauwels, K., & Weiss, A. M. (2008). Moving from free to Fee: How marketing can stimulate gains and stem losses for an online content provider. Journal of Marketing, 72(3), 14–31.CrossRef Pauwels, K., & Weiss, A. M. (2008). Moving from free to Fee: How marketing can stimulate gains and stem losses for an online content provider. Journal of Marketing, 72(3), 14–31.CrossRef
Zurück zum Zitat Pesaran, M. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58, 17–29.CrossRef Pesaran, M. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58, 17–29.CrossRef
Zurück zum Zitat Sonnier, G. P., McAlister, L., & Rutz, O. J. (2011). A dynamic model of the effect of online communications on firm sales. Marketing Science, 30(4), 702–716.CrossRef Sonnier, G. P., McAlister, L., & Rutz, O. J. (2011). A dynamic model of the effect of online communications on firm sales. Marketing Science, 30(4), 702–716.CrossRef
Zurück zum Zitat Srinivasan, S., Vanhuele, M., & Pauwels, K. (2010). Mind-set metrics in market response models: an integrative approach. Journal of Marketing Research, 47(4), 672–684.CrossRef Srinivasan, S., Vanhuele, M., & Pauwels, K. (2010). Mind-set metrics in market response models: an integrative approach. Journal of Marketing Research, 47(4), 672–684.CrossRef
Zurück zum Zitat Stephen, A. T., & Galak, J. (2012). The effect of traditional and social earned media on sales: an application to a microlending marketplace. Journal of Marketing Research, 49(5), 624–639.CrossRef Stephen, A. T., & Galak, J. (2012). The effect of traditional and social earned media on sales: an application to a microlending marketplace. Journal of Marketing Research, 49(5), 624–639.CrossRef
Zurück zum Zitat Tellis, G. (2004). Effective advertising: How, when, and Why advertising works. Thousand Oaks: Sage Publications. Tellis, G. (2004). Effective advertising: How, when, and Why advertising works. Thousand Oaks: Sage Publications.
Zurück zum Zitat Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site. Journal of Marketing, 73(September), 90–102.CrossRef Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site. Journal of Marketing, 73(September), 90–102.CrossRef
Zurück zum Zitat Vakratsas, D., & Ambler, T. (1999). How advertising works: what Do We really know? Journal of Marketing, 63(January), 26–43.CrossRef Vakratsas, D., & Ambler, T. (1999). How advertising works: what Do We really know? Journal of Marketing, 63(January), 26–43.CrossRef
Zurück zum Zitat Wiesel, T., Pauwels, K., & Arts, J. (2011). Marketing’s profit impact: quantifying online and Off-line funnel progression. Marketing Science, 30(4), 604–611.CrossRef Wiesel, T., Pauwels, K., & Arts, J. (2011). Marketing’s profit impact: quantifying online and Off-line funnel progression. Marketing Science, 30(4), 604–611.CrossRef
Zurück zum Zitat Zigmond, D., & Stipp, H. (2011). Multitaskers may be advertisers’ best audience. Harvard Business Review, 12(1/2), 32–33. Zigmond, D., & Stipp, H. (2011). Multitaskers may be advertisers’ best audience. Harvard Business Review, 12(1/2), 32–33.
Metadaten
Titel
Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity
verfasst von
Shuba Srinivasan
Oliver J. Rutz
Koen Pauwels
Publikationsdatum
01.07.2016
Verlag
Springer US
Erschienen in
Journal of the Academy of Marketing Science / Ausgabe 4/2016
Print ISSN: 0092-0703
Elektronische ISSN: 1552-7824
DOI
https://doi.org/10.1007/s11747-015-0431-z

Weitere Artikel der Ausgabe 4/2016

Journal of the Academy of Marketing Science 4/2016 Zur Ausgabe