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Journal of the Academy of Marketing Science

, Volume 47, Issue 6, pp 1085–1108 | Cite as

In pursuit of an effective B2B digital marketing strategy in an emerging market

  • Valter Afonso VieiraEmail author
  • Marcos Inácio Severo de Almeida
  • Raj Agnihotri
  • Nôga Simões De Arruda Corrêa da Silva
  • S. Arunachalam
Original Empirical Research

Abstract

In business markets, firms operating in developing economies deal with burgeoning use of the internet, new electronic purchase methods, and a wide range of social media and online sales platforms. However, marketers are unclear about the pattern of influence of firm-initiated (i.e., paid media, owned media, and digital inbound marketing) and market-initiated (i.e., earned social media and organic search) digital communications on B2B sales and customer acquisition. We develop and test a model of digital echoverse in an emerging market B2B context, using vector autoregressive modeling to analyze a unique 132-week dataset from a Brazilian hub firm operating in the marketplace. We find empirical evidence supporting our conceptual framework in emerging markets. Underscoring the importance of a market development approach for emerging markets, the findings show that owned media and digital inbound marketing play a bigger role in influencing customer acquisition. Impressions generated through earned social media complement owned media, but not paid media. These insights highlight the notion that while sources of digital echoverse may remain the same across countries, its components exert a particular pattern of influence in an emerging market context. This is expected to encourage managers to rethink their digital strategies for B2B customer acquisition and sales enhancement while operating in emerging markets.

Keywords

Digital echoverse Digital B2B Digital media elasticities Emerging markets Vector autoregression Inbound marketing Paid media Owned media Earned social media Sales Customer acquisition 

Notes

References

  1. Agnihotri, R., Dingus, R., Hu, M. Y., & Krush, M. T. (2016). Social media: Influencing customer satisfaction in B2B sales. Industrial Marketing Management, 53(February), 172–180.Google Scholar
  2. Agnihotri, R., Trainor, K. J., Itani, O. S., & Rodriguez, M. (2017). Examining the role of sales-based CRM technology and social media use on post-sale service behaviors in India. Journal of Business Research, 81(December), 144–154.Google Scholar
  3. Alavi, S. (2016). New paradigm of digital marketing in emerging markets: From social media to social customer relationship management. International Journal of Management Practice, 9(1), 56–73.Google Scholar
  4. Ancillai, C., Terho, H., Cardinali, S., & Pascucci, F. (2019), Advancing social media driven sales research: Establishing conceptual foundations for B-to-B social selling. Industrial Marketing Management. Available online 26 February 2019.  https://doi.org/10.1016/j.indmarman.2019.01.002.Google Scholar
  5. Atsmon, Y., Kuentz, J. F., & Seong, J. (2012). Building brands in emerging markets. McKinsey Quarterly, 4(September), 50–57.Google Scholar
  6. Baum, C. F., Barkoulas, J. T., & Caglayan, M. (1999). Long memory or structural breaks: Can either explain nonstationarity real exchange rates under the current float? Journal of International Financial Markets. Institutions & Money, 9(4), 359–376.Google Scholar
  7. Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381–409.Google Scholar
  8. Berman, R., & Katona, Z. (2013). The role of search engine optimization in search marketing. Marketing Science, 32(4), 644–651.Google Scholar
  9. Berthon, P. R., Pitt, L. F., Plangger, K., & Shapiro, D. (2012). Marketing meets web 2.0, social media, and creative consumers: Implications for international marketing strategy. Business Horizons, 55(3), 261–271.Google Scholar
  10. Bronnenberg, B. J., Mahajan, V., & Vanhonacker, W. R. (2000). The emergence of market structure in new repeat-purchase categories: The interplay of market share and retailer distribution. Journal of Marketing Research, 37(1), 16–31.Google Scholar
  11. Bucklin, R., Rutz, O., & Trusov, M. (2010). Exploring the long tail in paid search. In Advertising, 32 ndINFORMS Marketing Science Conference. Germany: University of Cologne.Google Scholar
  12. Carrière-Swallow, Y., & Labbé, F. (2013). Nowcasting with Google trends in an emerging market. Journal of Forecasting, 32(4), 289–298.Google Scholar
  13. Carro, R. (2018). Urban Brazil. Digital News Report. Avaliable at http://www.digitalnewsreport.org/survey/2018/brazil-2018/. Accessed 13 Feb 2019.
  14. Clemente, J., Montañés, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economic Letters, 59(2), 175–182.Google Scholar
  15. Colicev, A., Malshe, A., Pauwels, K., & O’Connor, P. (2018). Improving consumer mindset metrics and shareholder value through social media: The different roles of owned and earned media. Journal of Marketing, 82(1), 37–56.Google Scholar
  16. Court, D., Elzinga, D., Mulder, S., & Vetvik, O. J. (2009). The consumer decision journey. McKinsey Quarterly, 3(June), 96–107.Google Scholar
  17. Danaher, P. J., & Smith, M. S. (2011). Modeling multivariate distributions using copulas: Applications in marketing. Marketing Science, 30(1), 4–21.Google Scholar
  18. Datta, H., Ailawadi, K. L., & Heerde, H. J. V. (2017). How well does consumer-based brand equity align with sales-based brand equity and marketing-mix response? Journal of Marketing, 81(3), 1–20.Google Scholar
  19. De Vries, L., Gensler, S., & Leeflang, P. S. (2017). Effects of traditional advertising and social messages on brand-building metrics and customer acquisition. Journal of Marketing, 81(5), 1–15.Google Scholar
  20. Dekimpe, M. G., & Hanssens, D. M. (1995). The persistence of marketing effect on sales. Marketing Science, 14(1), 1–21.Google Scholar
  21. Dekimpe, M. G., & Hanssens, D. M. (2007). Advertising response models. In G. J. Tellis & T. Ambler (Eds.), The SAGE handbook of advertising (pp. 247–263). Thousand Oaks: SAGE Publications.Google Scholar
  22. Dinner, I. M., Van Heerde, H. J., & Neslin, S. A. (2014). Driving online and offline sales: The cross-channel effects of traditional, online display, and paid search advertising. Journal of Marketing Research, 51(5), 527–545.Google Scholar
  23. Dotson, J. P., Fan, R. R., Feit, E. M., Oldham, J. D., & Yeh, Y. H. (2017). Brand attitudes and search engine queries. Journal of Interactive Marketing, 37(1), 105–116.Google Scholar
  24. Du, R. Y., & Kamakura, W. A. (2012). Quantitative trendspotting. Journal of Marketing Research, 49(4), 514–536.Google Scholar
  25. Edelman, D. C. (2010). Four ways to get more value from digital marketing. McKinsey Quarterly, 6(March), 1–8.Google Scholar
  26. Evans, L., & Wells, G. (1983). An alternative approach to simulating VAR models. Economic Letters, 12(1), 23–29.Google Scholar
  27. Fang, E., Li, X., Huang, M., & Palmatier, R. W. (2015). Direct and indirect effects of buyers and sellers on search advertising revenues in business-to-business electronic platforms. Journal of Marketing Research, 52(3), 407–422.Google Scholar
  28. Ghose, A., & Yang, S. (2009). An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Science, 55(10), 1605–1622.Google Scholar
  29. Gilfoil, D. M. (2012). Mapping social media tools for sell vs buy activities into emerging emerging and developed markets. International Journal of Management & Information Systems (Online), 16(1), 69.Google Scholar
  30. Grewal, R., Lilien, G. L., Bharadwaj, S., Jindal, P., Kayande, U., Lusch, R. F., et al. (2015). Business-to-business buying: Challenges and opportunities. Customer Needs and Solutions, 2(3), 193–208.Google Scholar
  31. Haan, E., Wiesel, T., & Pauwels, K. (2016). The effectiveness in different froms of online advertising for purchase conversion in a multiple-channel attribution framework. International Journal of Research in Marketing, 33(3), 491–507.Google Scholar
  32. Halligan, B., & Shah, D. (2009). Inbound marketing: Get found using Google, social media, and blogs. New Jersey: John Wiley & Sons.Google Scholar
  33. Hanna, R., Rohm, A., & Crittenden, V. L. (2011). We’re all connected: The power of the social media ecosystem. Business Horizons, 54(3), 265–273.Google Scholar
  34. Hanssens, D. M., & Parsons, L. J. (1993). Econometric and time-series market response models. In Marketing: Handbooks in operations research and management science. Eds. J.Google Scholar
  35. Hanssens, D. M., Parsons, L.J., & Schultz, R.L. (2001). Market Response Models: Econometric and Time Series Analysis. 2nd edition, Kluwer Academic Publishers.Google Scholar
  36. Hanssens, D. M., & Pauwels, K. H. (2016). Demonstrating the value of marketing. Journal of Marketing, 80(6), 173–190.Google Scholar
  37. Heerde, H. J. V., Dekimpe, M. G., & Putsis, W. P., Jr. (2005). Marketing models and the Lucas critique. Journal of Marketing Research, 42(1), 15–21.Google Scholar
  38. Henningsen, S., Heuke, R., & Clement, M. (2011). Determinants of advertising effectiveness: The development of an international advertising elasticity database and a meta-analysis. Business Research, 4(2), 193–239.Google Scholar
  39. Hewett, K., Rand, W., Rust, R. T., & Heerde, H. J. V. (2016). Brand buzz in the echoverse. Journal of Marketing, 80(3), 1–24.Google Scholar
  40. Holliman, G., & Rowley, J. (2014). Business to business digital content marketing marketers’ perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269–293.Google Scholar
  41. Järvinen, J., & Taiminen, H. (2016). Harnessing marketing automation for B2B content marketing. Industrial Marketing Management, 54(April), 164–175.Google Scholar
  42. Jobs, C. (2012). A comparative analysis of the adoption rates of social networking and microblogging between industrialized and developing nations. Journal of International Business Research, 11(1), 107–118.Google Scholar
  43. Kannan, P. K., & Li, H. A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45.Google Scholar
  44. Katsikeas, C. S., Morgan, N. A., Leonidou, L. C., & Hult, G. T. M. (2016). Assessing performance outcomes in marketing. Journal of Marketing, 80(2), 1–20.Google Scholar
  45. Kim, H., & Hanssens, D. M. (2017). Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products. Journal of Interactive Marketing, 37(1), 57–74.Google Scholar
  46. Kumar, V., & Gupta, S. (2016) Conceptualizing the Evolution and Future of Advertising. Journal of Advertising 45 (3):302–317Google Scholar
  47. Kumar, V., Choi, J. B., & Greene, M. (2017). Synergistic effects of social media and traditional marketing on brand sales: Capturing the time-varying effects. Journal of the Academy of Marketing Science, 45(2), 268–288.Google Scholar
  48. Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178.Google Scholar
  49. Leeflang, P. S. H., Wieringa, J. E., Bijmolt, T. H. A., & Pauwels, K. H. (2015). Modeling markets: Analyzing marketing phenomena and improving marketing decision making. New York City: Springer.Google Scholar
  50. Leeflang, P. S. H., Wieringa, J. E., Bijmolt, T. H. A., & Pauwels, K. H. (2017). Advanced Methods for Modeling Markets. New York City: Springer.Google Scholar
  51. Levine, R., Locke, C., Searle, D., & Weinberger, D. (2001). The Cluetrain Manifesto: The end of business as usual. New York: Basic Books.Google Scholar
  52. Lewis, R. A., & Rao, J. M. (2015). The unfavorable economics of measuring the returns to advertising. The Quarterly Journal of Economics, 130(4), 1941–1973.Google Scholar
  53. 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.Google Scholar
  54. Lilien, G. L. (2016). The B2B knowledge gap. International Journal of Research in Marketing, 33(3), 543–556.Google Scholar
  55. Lovett, M. J., Peres, R., & Shachar, R. (2013, August). On brands and word of mouth. Journal of Marketing Research, 50(4), 427–444.Google Scholar
  56. Lumsdaine, R. L., & Papell, D. H. (1997). Multiple trend breaks and the unit-root hypothesis. The Review of Economics and Statistics, 79(2), 212–218.Google Scholar
  57. Lusch, R. F., & Vargo, S. L. (2009). Service-dominant logic-a guiding framework for inbound marketing. Marketing Review St. Gallen, 26(6), 6–10.Google Scholar
  58. Mantrala, M. K., Albers, S. (2012). Impact of the Internet on B2B sales force size and structure. Handbook of business-to-business marketing. Edward Elgar, Northampton, 539–555.Google Scholar
  59. McQuarrie, E. F., Miller, J., & Phillips, B. J. (2013). The megaphone effect: taste and audience in Fashion Blogging. Journal of Consumer Research, 40(1), 136–158.Google Scholar
  60. Mele, C., Pels, J., & Storbacka, K. (2015). A holistic market conceptualization. Journal of the Academy of Marketing Science, 43(1), 100–114.Google Scholar
  61. Norris I. Bruce, Natasha Zhang Foutz, Ceren Kolsarici, (2012) Dynamic Effectiveness of Advertising and Word of Mouth in Sequential Distribution of New Products. Journal of Marketing Research 49 (4):469–486Google Scholar
  62. Onishi, H., & Manchanda, P. (2012). Marketing activity, blogging and sales. International Journal of Research in Marketing, 29(3), 221–234.Google Scholar
  63. Opreana, A., & Vinerean, S. (2015). A new development in online marketing: Introducing digital inbound marketing. Expert Journal of Marketing, 3(1), 29–34.Google Scholar
  64. PagBrasil (2019). Brazil, One of the Biggest E-Commerce Opportunities in the World. Market Insights Brazil. Available at https://www.pagbrasil.com/market-insights-brazil/. Accessed 13 Feb 2019
  65. Park, S., & Gupta, S. (2012). Handling endogenous regressors by joint estimation using copulas. Marketing Science, 31(4), 567–586.Google Scholar
  66. Pauwels, K., Silva-Risso, J., Srinivasan, S., & Hanssens, D. M. (2004). New products, sales promotions, and firm value: The case of the automobile industry. Journal of Marketing, 68(4), 142–156.Google Scholar
  67. Pauwels, K. H. (2017). Modern (multiple) time series models: The dynamic system. In P. S. H. Leeflang, J. E. Wieringa, T. H. A. Bijmolt, & K. H. Pauwels (Eds.), Advanced methods for modeling markets (pp. 115–148). Switzerland: Springer.Google Scholar
  68. Pauwels, K. H. (2018). Modeling dynamic relations among marketing and performance metrics. Foundations and trends in marketing, 11(4), 215–301.Google Scholar
  69. Pedada, K., Arunachalam, S., & Dass, M. (2019). A theoretical model of the formation and dissolution of emerging market international marketing alliances. Journal of the Academy of Marketing Science, (February), 1–22.Google Scholar
  70. Piskorski, M.J. &, Mecall, T. (2010). Vision Statement: Mapping the Social Internet. Harvard Business Review, 88 (July–August), 7–8.Google Scholar
  71. Powers, T., Advincula, D., Austin, M. S., Graiko, S., & Snyder, J. (2012). Digital and social media in the purchase decision process: A special report from the Advertising Research Foundation. Journal of Advertising Research, 52(4), 479–489.Google Scholar
  72. Rutz, O. J., & Trusov, M. (2011). Zooming in on paid search ads-A consumer-level model calibrated on aggregated data. Marketing Science, 30(5), 789–800.Google Scholar
  73. Rust, R. T., Ambler, T., Carpenter, G. S., Kumar, V., & Srivastava, R. K. (2004) Measuring Marketing Productivity: Current Knowledge and Future Directions. Journal of Marketing 68(4):76–89Google Scholar
  74. Schultz, D. (2016). The future of advertising or whatever we’re going to call it. Journal of Advertising, 45(3), 276–285.Google Scholar
  75. Sethuraman, R., Tellis, G. J., & Briesch, R. A. (2011). How well does advertising work? Generalizations from meta-analysis of brand advertising elasticities. Journal of Marketing Research, 48(3), 457–471.Google Scholar
  76. Sheth, J. N. (2011). Impact of emerging markets on marketing: Rethinking existing perspectives and practices. Journal of Marketing, 75(4), 166–182.Google Scholar
  77. Srinivasan, S., Rutz, O. J., & Pauwels, K. (2016). Paths to and off purchase: Quantifying the impact of traditional marketing and online customer activity. Journal of the Academy of Marketing Science, 44(4), 440–453.Google Scholar
  78. 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.Google Scholar
  79. Statista (2019). Leading countries based on number of Instagram users as of January 2019 (in millions). Avaliable at https://www.statista.com/statistics/578364/countries-with-most-instagram-users/. Accessed 13 Feb 2019.
  80. Steenburgh, T., Avery, J., & Dahod, N. (2011). Hubspot: inbound marketing and web 2.0. Boston: Harvard Business School Press.Google Scholar
  81. Stephen, A. T., & Galak, J. (2012). The effects of traditional and social earned media on sales: A study of a microlending marketplace. Journal of Marketing Research, 49(5), 624–639.Google Scholar
  82. Swani, K., Brown, B. P., & Milne, G. R. (2014). Should tweets differ for B2B and B2C? An analysis of Fortune 500 companies’ Twitter communications. Industrial Marketing Management, 43(5), 873–881.Google Scholar
  83. Tirunillai, S., & Tellis, G. J. (2012). Does chatter really matter? Dynamics of user-generated content and stock performance. Marketing Science, 31(2), 198–215.Google Scholar
  84. 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(5), 90–102.Google Scholar
  85. Vázquez, S., Muñoz-García, Ó., Campanella, I., Poch, M., Fisas, B., Bel, N., & Andreu, G. (2014). A classification of user-generated content into consumer decision journey stages. Neural Networks, 58(October), 68–81.Google Scholar
  86. Villanueva, J., Yoo, S., & Hanssens, D. M. (2008). The impact of marketing-induced versus word-of-mouth customer acquisition on customer equity growth. Journal of Marketing Research, 45(1), 48–59.Google Scholar
  87. Yao, S., & Mela, C. F. (2011). A dynamic model of sponsored search advertising. Marketing Science, 30(3), 447–468.Google Scholar
  88. Wang, P., Xiong, G., & Yang, J. (2019). Serial Position Effects on Native Advertising Effectiveness: Differential Results across Publisher and Advertiser Metrics. Journal of Marketing, 83(2), 82–97.Google Scholar
  89. Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 25–44.Google Scholar

Copyright information

© Academy of Marketing Science 2019

Authors and Affiliations

  1. 1.College of Business AdministrationMaringá State University (PPA/UEM)MaringáBrazil
  2. 2.Faculty of Business Administration, Accounting Sciences and Economic Sciences (FACE)Federal University of Goiás, Brazil (UFG)GoiâniaBrazil
  3. 3.Ivy College of BusinessIowa State UniversityAmesUSA
  4. 4.Indian School of BusinessHyderabadIndia

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