Ban Targeted Advertising? An Empirical Investigation of the Consequences for App Development
Abstract
On many multisided app platforms, the supply-side monetizes their work with targeted advertising. The targeting of ads has raised concerns over user privacy and has led to calls for platform firms and regulators to bar this practice. Important for this debate is to understand the consequences that a ban on targeted advertising would have for app development. To inform, we exploit that Google, in 2019, banned targeted advertising in Android children’s games. This setting represents an ideal real-world laboratory and permits a quasi-experimental research design. Our overall finding is that the ban on targeted advertising caused substantial app abandonment. The ban reduced the release of feature updates, particularly for games of young, undiversified, and advertisement-dependent firms. Only games of exceptionally high quality and demand showed an increase in development. Corroborating this picture, affected games were more likely to be delisted. Developers shifted their efforts toward their unaffected games and released fewer new games on average. Further tests substantiate that targeted advertising represented a crucial form of monetization for affected games and that the ban obliterated ad revenues used for app development. Our findings have several implications. To avoid a loss in app innovation, platform firms should consider implementing measures to reduce the burden on developers, especially by creating alternative monetization opportunities. Consumers and policymakers should be aware that targeted advertising plays a crucial role for app development and can use our estimates for designing policies. Thus, consumers’ demand for privacy can conflict with platform firms’ goal to foster app innovation. This paper was accepted by Hemant Bhargava, information systems. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4726 .
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Digital platform ecosystems commonly draw on consumer ratings of product quality as a measure indicating the value the platform offering has for its users.
“Accordingly, digital platform ecosystems commonly draw on consumer ratings of product quality as a measure indicating the value the platform offering has for its users (Cennamo & Santaló, 2019;Kircher & Foerderer, 2024).”
From What role do data network effects play for multihoming complements? An empirical analysis of platform complementors’ strategies for consumer value creation (2025) · cites this paper as Kircher & Foerderer, 2024
Cites
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641 · see citing works
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467 · see citing works
Organizational innovation: A meta-analysis of effects of determinants and moderators
Damanpour, F. (1991) · Academy of Management Journal · doi:10.2307/256406 · Cited by 6,542 · see citing works
Laursen, K., & Salter, A. (2006) · Strategic Management Journal · doi:10.1002/smj.507 · Cited by 6,324 · see citing works
Abadie, A., Diamond, A., & Hainmueller, J. (2010) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.ap08746 · Cited by 5,513 · see citing works
Information rules - a strategic guide to the network economy
Shapiro, C., & Varian, H. (1999) · The Journal of Economic Education · doi:10.2307/1183273 · Cited by 5,225 · see citing works
Toward a theory of organizational creativity
Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993) · The Academy of Management Review · doi:10.2307/258761 · Cited by 4,399 · see citing works
Jansen, J. J. P., Van Den Bosch, F. A. J., & Volberda, H. W. (2006) · Management Science · doi:10.1287/mnsc.1060.0576 · Cited by 3,705 · see citing works
Causal Inference without Balance Checking: Coarsened Exact Matching
Iacus, S. M., King, G., & Porro, G. (2012) · Political Analysis · doi:10.1093/pan/mpr013 · Cited by 3,563 · see citing works
A Multi‐Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature
Crossan, M. M., & Apaydın, M. (2009) · Journal of Management Studies · doi:10.1111/j.1467-6486.2009.00880.x · Cited by 3,391 · see citing works
A solution to the problem of separation in logistic regression
Heinze, G., & Schemper, M. (2002) · Statistics in Medicine · doi:10.1002/sim.1047 · Cited by 2,711 · see citing works
In Search of Complementarity in Innovation Strategy: Internal R&D and External Knowledge Acquisition
Cassiman, B., & Veugelers, R. (2006) · Management Science · doi:10.1287/mnsc.1050.0470 · Cited by 2,471 · see citing works
Two-Sided Network Effects: A Theory of Information Product Design
PARKER, G. G., & Alstyne, M. V. (2005) · Management Science · doi:10.1287/mnsc.1050.0400 · Cited by 1,684 · see citing works
Synthetic Difference-in-Differences
Arkhangelsky, D., Athey, S., Hirshberg, D. A., Imbens, G. W., & Wager, S. (2021) · American Economic Review · doi:10.1257/aer.20190159 · Cited by 1,518 · see citing works
Tiwana, A., Konsynski, B., & Bush, A. A. (2010) · Information Systems Research · doi:10.1287/isre.1100.0323 · Cited by 1,514 · see citing works
PERFORMANCE, SLACK, AND RISK TAKING IN ORGANIZATIONAL DECISION MAKING.
Singh, J. V. (1986) · Academy of Management Journal · doi:10.2307/256224 · Cited by 1,448 · see citing works
ORGANIZATIONAL INNOVATION: REVIEW, CRITIQUE AND SUGGESTED RESEARCH DIRECTIONS*
Wolfe, R. A. (1994) · Journal of Management Studies · doi:10.1111/j.1467-6486.1994.tb00624.x · Cited by 1,426 · see citing works
Acquisti, A., Taylor, C., & Wagman, L. (2016) · Journal of Economic Literature · doi:10.1257/jel.54.2.442 · Cited by 1,283 · see citing works
Research on Innovation: A Review and Agenda for Marketing Science
Hauser, J., Tellis, G. J., & Griffin, A. (2006) · Marketing Science · doi:10.1287/mksc.1050.0144 · Cited by 1,158 · see citing works
Technology Ecosystem Governance
Wareham, J., Fox, P. B., & Cano Giner, J. L. (2014) · Organization Science · doi:10.1287/orsc.2014.0895 · Cited by 931 · see citing works
Cocreation of Value in a Platform Ecosystem: The Case of Enterprise Software1
Ceccagnoli, M., Forman, C., Huang, P., & Wu, D. J. (2012) · MIS Quarterly · doi:10.2307/41410417 · Cited by 794 · see citing works
Boudreau, K. J. (2012) · Organization Science · doi:10.1287/orsc.1110.0678 · Cited by 676 · see citing works
Fixed Effects and Bias Due to the Incidental Parameters Problem in the Tobit Model
Greene, W. H. (2004) · Econometric Reviews · doi:10.1081/etc-120039606 · Cited by 670 · see citing works
Entry into platform‐based markets
Zhu, F., & Iansiti, M. (2011) · Strategic Management Journal · doi:10.1002/smj.941 · Cited by 633 · see citing works
Innovation, Openness, and Platform Control
Parker, G., & Van Alstyne, M. (2018) · Management Science · doi:10.1287/mnsc.2017.2757 · Cited by 549 · see citing works
Competing with complementors: An empirical look at Amazon.com
Zhu, F., & Liu, Q. (2018) · Strategic Management Journal · doi:10.1002/smj.2932 · Cited by 546 · see citing works
When Does Retargeting Work? Information Specificity in Online Advertising
Lambrecht, A., & Tucker, C. E. (2013) · Journal of Marketing Research · doi:10.1509/jmr.11.0503 · Cited by 512 · see citing works
Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures
Bao, Y., & Datta, A. (2014) · Management Science · doi:10.1287/mnsc.2014.1930 · Cited by 491 · see citing works
The Effect of Banner Advertising on Internet Purchasing
Manchanda, P., Dubé, J.-P., Goh, K. Y., & Chintagunta, P. K. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.1.98 · Cited by 456 · see citing works
Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where
Bleier, A., & Eisenbeiß, M. (2015) · Marketing Science · doi:10.1287/mksc.2015.0930 · Cited by 430 · see citing works
Estimating Demand for Mobile Applications in the New Economy
Ghose, A., & Han, S. (2014) · Management Sciences · doi:10.1287/mnsc.2014.1945 · Cited by 418 · see citing works
Greenwood, B. N., & Wattal, S. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.1.08 · Cited by 417 · see citing works
Consumer Privacy and the Market for Customer Information
Taylor, C. R. (2004) · The RAND Journal of Economics · doi:10.2307/1593765 · Cited by 407 · see citing works
1 Moving Beyond Schumpeter: Management Research on the Determinants of Technological Innovation
Ahuja, G., Lampert, C. M., & Tandon, V. (2008) · Academy of Management Annals · doi:10.5465/19416520802211446 · Cited by 400 · see citing works
Resource allocation strategy for innovation portfolio management
Klingebiel, R., & Rammer, C. (2013) · Strategic Management Journal · doi:10.1002/smj.2107 · Cited by 387 · see citing works
Threat of platform‐owner entry and complementor responses: Evidence from the mobile app market
Wen, W., & Zhu, F. (2019) · Strategic Management Journal · doi:10.1002/smj.3031 · Cited by 318 · see citing works
Mobile advertising: A framework and research agenda
Grewal, D., Bart, Y., Spann, M., & Zubcsek, P. P. (2016) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2016.03.003 · Cited by 316 · see citing works
Targeting in advertising markets: implications for offline versus online media
Bergemann, D., & Bonatti, A. (2011) · The RAND Journal of Economics · doi:10.1111/j.1756-2171.2011.00143.x · Cited by 274 · see citing works
Platform Architecture and Quality Trade-offs of Multihoming Complements
Cennamo, C., Ozalp, H., & Kretschmer, T. (2018) · Information Systems Research · doi:10.1287/isre.2018.0779 · Cited by 273 · see citing works
Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity
Pierce, L., Snow, D. C., & McAfee, A. (2015) · Management Science · doi:10.1287/mnsc.2014.2103 · Cited by 251 · see citing works
Channel Integration, Sales Dispersion, and Inventory Management
Gallino, S., Moreno, A., & Stamatopoulos, I. (2016) · Management Science · doi:10.1287/mnsc.2016.2479 · Cited by 239 · see citing works
Does Platform Owner’s Entry Crowd Out Innovation? Evidence from Google Photos
Foerderer, J., Kude, T., Mithas, S., & Heinzl, A. (2018) · Information Systems Research · doi:10.1287/isre.2018.0787 · Cited by 235 · see citing works
Self-citationConsumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?
Johnson, G. A., Shriver, S. K., & Du, S. (2020) · Marketing Science · doi:10.1287/mksc.2019.1198 · Cited by 230 · see citing works
Targeting and Privacy in Mobile Advertising
Rafieian, O., & Yoganarasimhan, H. (2018) · Marketing Science · doi:10.1287/mksc.2020.1235 · Cited by 222 · see citing works
Demand Heterogeneity in Platform Markets: Implications for Complementors
Rietveld, J., & Eggers, J. P. (2018) · Organization Science · doi:10.1287/orsc.2017.1183 · Cited by 221 · see citing works
An Economic Analysis of Online Advertising Using Behavioral Targeting1
Chen, J., & Stallaert, J. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.05 · Cited by 204 · see citing works
Privacy Regulation and Market Structure
Campbell, J. D., Avi Goldfarb, B., & Tucker, C. E. (2011) · Journal of Economics & Management Strategy · doi:10.1111/jems.12079 · Cited by 200 · see citing works
Appropriability Mechanisms and the Platform Partnership Decision: Evidence from Enterprise Software
Huang, P., Ceccagnoli, M., Forman, C., & Wu, D. J. (2013) · Management Science · doi:10.1287/mnsc.1120.1618 · Cited by 198 · see citing works
Casadesus‐Masanell, R., & Hervas‐Drane, A. (2013) · Management Science · doi:10.1287/mnsc.2014.2023 · Cited by 193 · see citing works
Strategies to Fight Ad-Sponsored Rivals
Casadesus‐Masanell, R., & Zhu, F. (2009) · Management Science · doi:10.1287/mnsc.1100.1199 · Cited by 188 · see citing works
Ad Revenue and Content Commercialization: Evidence from Blogs
Sun, M., & Zhu, F. (2013) · Management Science · doi:10.1287/mnsc.1120.1704 · Cited by 174 · see citing works
How do firms make money selling digital goods online?
Lambrecht, A., Goldfarb, A., Bonatti, A., Ghose, A., Goldstein, D. G., Lewis, R., Rao, A., Sahni, N., & Yao, S. (2014) · Marketing Letters · doi:10.1007/s11002-014-9310-5 · Cited by 167 · see citing works
Wang, Q., Li, B., & Singh, P. V. (2018) · Information Systems Research · doi:10.1287/isre.2017.0735 · Cited by 162 · see citing works
Digital Advertising to Children
Radesky, J., Chassiakos, Y. (. R., Ameenuddin, N., Navsaria, D., & COUNCIL ON COMMUNICATION AND MEDIA (2020) · Pediatrics · doi:10.1542/peds.2020-1681 · Cited by 158 · see citing works
Kummer, M. E., & Schulte, P. (2016) · Management Science · doi:10.1287/mnsc.2018.3132 · Cited by 148 · see citing works
Quality and Location Choices under Price Regulation
Brekke, K. R., Nuscheler, R., & Straume, O. R. (2006) · Journal of Economics & Management Strategy · doi:10.1111/j.1530-9134.2006.00098.x · Cited by 140 · see citing works
Huang, P., Tafti, A., & Mithas, S. (2018) · MIS Quarterly · doi:10.25300/misq/2018/13490 · Cited by 133 · see citing works
Ghose, A., & Todri, V. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.4.05 · Cited by 129 · see citing works
Human Capital Acquisition and Organizational Innovation: A Temporal Perspective
Wang, T. T., & Zatzick, C. D. (2018) · Academy of Management Journal · doi:10.5465/amj.2017.0114 · Cited by 126 · see citing works
A Quasi-Experiment Assessing the Effectiveness of TV Advertising Directed to Children
Goldberg, M. E. (1990) · Journal of Marketing Research · doi:10.1177/002224379002700406 · Cited by 123 · see citing works
Goldfarb, A., & Tucker, C. E. (2012) · Innovation Policy and the Economy · doi:10.1086/663156 · Cited by 121 · see citing works
The Influencing Role of the Child in Family Decision Making
Berey, L. A., & Pollay, R. W. (1968) · Journal of Marketing Research · doi:10.1177/002224376800500109 · Cited by 110 · see citing works
R&D manpower and technological performance: The impact of demographic and task-related diversity
Faems, D., & Subramanian, A. M. (2013) · Research Policy · doi:10.1016/j.respol.2013.06.001 · Cited by 108 · see citing works
Privacy Protection, Personalized Medicine, and Genetic Testing
Miller, A. R., & Tucker, C. E. (2017) · Management Science · doi:10.1287/mnsc.2017.2858 · Cited by 103 · see citing works
Oh, H., Animesh, A., & Pinsonneault, A. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.1.02 · Cited by 102 · see citing works
Al‐Natour, S., Cavusoglu, H., Benbasat, I., & Aleem, U. (2020) · Information Systems Research · doi:10.1287/isre.2020.0931 · Cited by 99 · see citing works
Differentiation with User-Generated Content
Zhang, K., & Sárváry, M. (2014) · Management Science · doi:10.1287/mnsc.2014.1907 · Cited by 92 · see citing works
Foerderer, J. (2020) · Management Sciences · doi:10.1287/mnsc.2019.3425 · Cited by 92 · see citing works
Self-citationEntrepreneurial Innovation: Killer Apps in the iPhone Ecosystem
Yin, P.-L., Davis, J. P., & Muzyrua, Y. (2014) · American Economic Review · doi:10.1257/aer.104.5.255 · Cited by 91 · see citing works
Chellappa, R. K., & Shivendu, S. (2010) · Management Science · doi:10.1287/mnsc.1100.1210 · Cited by 80 · see citing works
Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder
Sood, A., James, G. M., Tellis, G. J., & Zhu, J. (2012) · Marketing Science · doi:10.1287/mksc.1120.0739 · Cited by 75 · see citing works
Introduction to the Special Issue: Financial Resource Constraints and Innovation
Gibbert, M., Hoegl, M., & Välikangas, L. (2013) · Journal of Product Innovation Management · doi:10.1111/jpim.12089 · Cited by 67 · see citing works
TARGETED ADVERTISING: THE ROLE OF SUBSCRIBER CHARACTERISTICS IN MEDIA MARKETS*
Chandra, A. (2009) · Journal of Industrial Economics · doi:10.1111/j.1467-6451.2009.00370.x · Cited by 64 · see citing works
Speaking for “Free”: Word of Mouth in Free- and Paid-Product Settings
Bond, S., He, S. X., & Wen, W. (2019) · Journal of Marketing Research · doi:10.1177/0022243718821957 · Cited by 63 · see citing works
Voigt, S., & Hinz, O. F. (2015) · Business & Information Systems Engineering · doi:10.1007/s12599-015-0395-z · Cited by 57 · see citing works
Miric, M., & Jeppesen, L. B. (2020) · Strategic Management Journal · doi:10.1002/smj.3208 · Cited by 46 · see citing works
Winners, Losers, and Facebook: The Role of Social Logins in the Online Advertising Ecosystem
Krämer, J., Schnurr, D., & Wohlfarth, M. (2018) · Management Science · doi:10.1287/mnsc.2017.3012 · Cited by 44 · see citing works
Ad-Blockers: A Blessing or a Curse?
Aseri, M., Dawande, M., Janakiraman, G., & Mookerjee, V. S. (2018) · Information Systems Research · doi:10.1287/isre.2019.0906 · Cited by 34 · see citing works
Monetizing Online Content: Digital Paywall Design and Configuration
Rußell, R., Berger, B., Stich, L., et al. (2020) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00632-5 · Cited by 23 · see citing works
Bhargava, H. K., Rubel, O., Altman, E. J., Arora, R., Boehnke, J., Daniels, K. M., Derdenger, T., Kirschner, B., LaFramboise, D., Loupos, P., et al. (2020) · Marketing letters · doi:10.1007/s11002-020-09539-3 · Cited by 16 · see citing works
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“Such app analytics firms primarily offer their information to firms competing in the app economy; however, researchers have also cooperated with them as a reliable source for secondary data (Boudreau et al., 2022; Kircher & Foerderer, 2024).”
- Authors
- Kircher, T., & Foerderer, J.
- Affiliations
- Technical University of Munich (DE)
- Venue
- Management Science
- Published
- 2024-02
- Volume
- 70
- Issue
- 2
- Pages
- 1070-1092
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W4377095343
- Cited by
- 36
- References
- 80
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 4 · 2023: 3 · 2019: 1
- FWCI
- 7.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Management Science (publishedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- targeted advertising, app development, app abandonment, advertising revenue, app monetization, user privacy, platform regulation, Google
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