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How Much is Too Much? The Effect of Offline Call Intensity on Online Purchase of Digital Services

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  • Xingyue Zhang
  • Yuliang Yao

Abstract

Use a unique dataset collected from a large classified ads website, we empirically examine the effect of the offline call intensity on the online consumer purchase probability of digital services and the carryover effect of the call intensity. We find that the online consumer purchase probability is increasing in the call intensity but at a decreasing rate. We further demonstrate that the decreasing rate is sizable enough that the relationship between the online consumer purchase probability and the call intensity is an inverted U‐shaped curve. In addition, there exists a strong carryover effect where the online call intensity in the past 4 weeks does not fade away but has a positive effect on recent consumer purchases. Our estimations show that both too much and too little call intensity will result in considerably worse outcomes. As compared with the call intensity at the optimal level, too much call intensity potentially reduces the online consumer purchase probability by 29.11%, and too little call intensity potentially reduces the online consumer purchase probability by 54.90%. Furthermore, making calls every week for 4 weeks can increase consumer purchase probability by 10.69 times as compared with just initiating calls with the consumers.

Suggested Citation

  • Xingyue Zhang & Yuliang Yao, 2020. "How Much is Too Much? The Effect of Offline Call Intensity on Online Purchase of Digital Services," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 509-525, March.
    • Handle: RePEc:bla:popmgt:v:29:y:2020:i:3:p:509-525
    DOI: 10.1111/poms.13124
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    as
    1. Randall Lewis & David Reiley, 2014. "Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo!," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 235-266, September.
    2. Maarten C. W. Janssen & Marielle C. Non, 2009. "Going Where the Ad Leads You: On High Advertised Prices and Searching Where to Buy," Marketing Science, INFORMS, vol. 28(1), pages 87-98, 01-02.
    3. Yinliang (Ricky) Tan & Janice E. Carrillo, 2017. "Strategic Analysis of the Agency Model for Digital Goods," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 724-741, April.
    4. Jonathan Z. Zhang & Oded Netzer & Asim Ansari, 2014. "Dynamic Targeted Pricing in B2B Relationships," Marketing Science, INFORMS, vol. 33(3), pages 317-337, May.
    5. Jerry Hausman & Gregory Leonard & J. Douglas Zona, 1994. "Competitive Analysis with Differentiated Products," Annals of Economics and Statistics, GENES, issue 34, pages 143-157.
    6. repec:adr:anecst:y:1994:i:34:p:06 is not listed on IDEAS
    7. Lin Tian & Asoo J. Vakharia & Yinliang (Ricky) Tan & Yifan Xu, 2018. "Marketplace, Reseller, or Hybrid: Strategic Analysis of an Emerging E‐Commerce Model," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1595-1610, August.
    8. Santiago Gallino & Antonio Moreno, 2014. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information," Management Science, INFORMS, vol. 60(6), pages 1434-1451, June.
    9. Lin Hao & Hong Guo & Robert F. Easley, 2017. "A Mobile Platform's In‐App Advertising Contract Under Agency Pricing for App Sales," Production and Operations Management, Production and Operations Management Society, vol. 26(2), pages 189-202, February.
    10. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    11. Thorsten Wiesel & Koen Pauwels & Joep Arts, 2011. "Practice Prize Paper --Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression," Marketing Science, INFORMS, vol. 30(4), pages 604-611, July.
    12. Erik Brynjolfsson & Yu (Jeffrey) Hu & Mohammad S. Rahman, 2009. "Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition," Management Science, INFORMS, vol. 55(11), pages 1755-1765, November.
    13. Robert Seamans & Feng Zhu, 2014. "Responses to Entry in Multi-Sided Markets: The Impact of Craigslist on Local Newspapers," Management Science, INFORMS, vol. 60(2), pages 476-493, February.
    14. Oliver J. Rutz & Michael Trusov & Randolph E. Bucklin, 2011. "Modeling Indirect Effects of Paid Search Advertising: Which Keywords Lead to More Future Visits?," Marketing Science, INFORMS, vol. 30(4), pages 646-665, July.
    15. Kirthi Kalyanam & John McAteer & Jonathan Marek & James Hodges & Lifeng Lin, 2018. "Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(1), pages 1-42, March.
    16. Yong Tan & Vijay S. Mookerjee, 2005. "Allocating Spending Between Advertising and Information Technology in Electronic Retailing," Management Science, INFORMS, vol. 51(8), pages 1236-1249, August.
    17. Hong Guo & Xuying Zhao & Lin Hao & De Liu, 2019. "Economic Analysis of Reward Advertising," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2413-2430, October.
    18. Puneet Manchanda & Pradeep K. Chintagunta, 2004. "Responsiveness of Physician Prescription Behavior to Salesforce Effort: An Individual Level Analysis," Marketing Letters, Springer, vol. 15(2_3), pages 129-145, July.
    19. Naik, Prasad A. & Peters, Kay, 2009. "A Hierarchical Marketing Communications Model of Online and Offline Media Synergies," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 288-299.
    20. Khim-Yong Goh & Kai-Lung Hui & Ivan P. L. Png, 2015. "Privacy and Marketing Externalities: Evidence from Do Not Call," Management Science, INFORMS, vol. 61(12), pages 2982-3000, December.
    21. Kursad Asdemir & Nanda Kumar & Varghese S. Jacob, 2012. "Pricing Models for Online Advertising: CPM vs. CPC," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 804-822, September.
    22. Gerard R. Butters, 1977. "Equilibrium Distributions of Sales and Advertising Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 465-491.
    23. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    24. Dengpan Liu & Vijay Mookerjee, 2018. "Advertising Competition on the Internet: Operational and Strategic Considerations," Production and Operations Management, Production and Operations Management Society, vol. 27(5), pages 884-901, May.
    25. Ashish Agarwal & Tridas Mukhopadhyay, 2016. "The Impact of Competing Ads on Click Performance in Sponsored Search," Information Systems Research, INFORMS, vol. 27(3), pages 538-557.
    26. Ashish Agarwal & Kartik Hosanagar & Michael D. Smith, 2015. "Do Organic Results Help or Hurt Sponsored Search Performance?," Information Systems Research, INFORMS, vol. 26(4), pages 695-713, December.
    27. Anindya Ghose & Sha Yang, 2009. "An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets," Management Science, INFORMS, vol. 55(10), pages 1605-1622, October.
    28. Animesh Animesh & Siva Viswanathan & Ritu Agarwal, 2011. "Competing “Creatively” in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance," Information Systems Research, INFORMS, vol. 22(1), pages 153-169, March.
    29. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, December.
    30. Prins, R. & Verhoef, P.C., 2007. "Marketing Communication Drivers of Adoption Timing of a New E-Service among Existing Customers," ERIM Report Series Research in Management ERS-2007-018-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    31. Rizzo, John A, 1999. "Advertising and Competition in the Ethical Pharmaceutical Industry: The Case of Antihypertensive Drugs," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 89-116, April.
    32. Anindya Ghose & Beibei Li & Siyuan Liu, 2019. "Mobile Targeting Using Customer Trajectory Patterns," Management Science, INFORMS, vol. 65(11), pages 5027-5049, November.
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