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30-03-2022 | Perspectives

Privacy-Centric Digital Advertising: Implications for Research

Authors: Garrett Johnson, Julian Runge, Eric Seufert

Published in: Customer Needs and Solutions | Issue 1-2/2022

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Abstract

Yesterday’s digital advertising relied on cross-website and cross-app user identity to measure, target, and optimize ads. Spurred by regulatory pressure, today’s digital advertising is evolving to become more privacy-protective. Apple and Google are leading this movement by sunsetting old technologies and building more privacy-centric alternatives. Marketing academics and practitioners, in turn, must learn to adapt to this new reality. We outline these new advertising approaches and their implications for advertising strategy, targeting, and measurement. We propose key questions and an agenda for researchers to help shape the privacy-centric future of digital advertising.

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Note that Facebook and Mozilla propose an alternative that relies on multi-party computation to permit cross-platform attribution modeling while preserving privacy [50].

Ada S, Abou Nabout N, Feit EM (2022) Context information increases revenue in ad auctions: Evidence from a policy change. J Market Res, forthcoming

Blake T, Nosko C, Tadelis S (2015) Consumer heterogeneity and paid search effectiveness: a large-scale field experiment. Econometrica 83(1):155–174CrossRef

Bleier A, Eisenbeiss M (2015) Personalized online advertising effectiveness: the inter- play of what, when, and where. Mark Sci 34(5):669–688CrossRef

Bleier A, Goldfarb A, Tucker C (2020) Consumer privacy and the future of data-based innovation and marketing. Int J Res Mark 37(3):466–480CrossRef

Braun M, Moe WW (2013) Online display advertising: modeling the effects of multiple creatives and individual impression histories. Mark Sci 32(5):753–767CrossRef

Bruce NI, Murthi B, Rao RC (2017) A dynamic model for digital advertising: the effects of creative format, message content, and targeting on engagement. J Mark Res 54(2):202–218CrossRef

Chavez A (2022) Introducing the Privacy Sandbox on Android. Google blog. [Accessed online at https://blog.google/products/android/introducing-privacy-sandbox-android/ on March 6, 2022]

Chen BX (2021) The battle for digital privacy is reshaping the internet. The New York Times. [Accessed online at https://www.nytimes.com/2021/09/16/technology/digital-privacy.html on October 4, 2021]

Choi H, Mela CF, Balseiro SR, Leary A (2020) Online display advertising markets: a literature review and future directions. Inf Syst Res 31(2):556–575CrossRef

10.

Danaher PJ (2017) Advertising effectiveness and media exposure. In Handbook of marketing decision models (pp. 463–481). Springer, Cham

11.

Dinner IM, Heerde HJV, Neslin SA (2014) Driving online and offline sales: the cross-channel effects of traditional, online display, and paid search advertising. J Mark Res 51(5):527–545CrossRef

12.

Draganska M, Hartmann WR, Stanglein G (2014) Internet versus television advertising: a brand-building comparison. J Mark Res 51:578–590CrossRef

13.

Facebook (2021) Navigating change and improving performance and measurement. Facebook for Business. [Accessed online at https://www.facebook.com/business/news/navigating-change-and-improving-performance-and-measurement on October 4, 2021]

14.

Goldfarb A (2014) What is different about online advertising? Rev Ind Organ 44(2):115–129CrossRef

15.

Goldfarb A, Tucker CE (2011) Privacy regulation and online advertising. Manage Sci 57(1):57–71CrossRef

16.

Google Research and Ads (2020) Evaluation of cohort algorithms for the FLoC API. Google White Paper. [Accessed online at https://github.com/google/ads-privacy/blob/master/proposals/FLoC/FLOC-Whitepaper-Google.pdf on July 13, 2021]

17.

Google (2021)The Privacy Sandbox: technology for a more private web. [Accessed online at https://privacysandbox.com/ on October 3, 2021]

18.

Gordon BR, Zettelmeyer F, Bhargava N, Chapsky D (2019) A comparison of approaches to advertising measurement: evidence from big field experiments at Facebook. Mark Sci 38(2):193–225CrossRef

19.

Gordon BR, Jerath K, Katona Z, Narayanan S, Shin J, Wilbur KC (2021) Inefficiencies in digital advertising markets. J Mark 85(1):7–25CrossRef

20.

Green J (2021) Why a unified ID is critical to the open internet, journalism, and TV. [Accessed online at https://www.thetradedesk.com/us/news/why-a-unified-id-is-critical-to-the-open-internet-journalism-and-tv on October 3, 2021]

21.

Hartmann WR, Klapper D (2018) Super Bowl ads. Mark Sci 37(1):78–96CrossRef

22.

IAB Tech Lab (2021) Taxonomy and data transparency standards to support seller-defined audience and context signaling

23.

Iwańczak P, Rumiński M (2022) The future of frequency capping in privacy-centric digital advertising. Working Paper. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3985974

24.

Johnson GA (2021) Inferno: a guide to field experiments in online display advertising. Working Paper. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3581396

25.

Johnson GA, Shriver SK, Du S (2020) Consumer privacy choice in online advertising: who opts out and at what cost to industry? Mark Sci 39(1):33–51CrossRef

26.

Lambrecht A, Tucker C (2013) When does retargeting work? Information specificity in online advertising. J Mark Res 50(5):561–576CrossRef

27.

Laziuk E (2021) iOS 14.5 Opt-in rate - daily updates since launch. Flurry Blog. [Accessed online at https://www.flurry.com/blog/ios-14-5-opt-in-rate-att-restricted-app-tracking-transparency-worldwide-us-daily-latest-update/ on March 12, 2022]

28.

Lewis R, Rao J (2015) The unfavorable economics of measuring the returns to advertising. Quart J Econ 130(4):1941–1973CrossRef

29.

Lewis RA, Reiley DH (2014) Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo! Quant Mark Econ 12(3):235–266CrossRef

30.

Lewis RA, Wong J (2018) Incrementality bidding & attribution. Available at SSRN

31.

Li H, Kannan PK (2014) Attributing conversions in a multichannel online marketing environment: an empirical model and a field experiment. J Mark Res 51(1):40–56CrossRef

32.

Lin J, Halloran S (2021) Study: effectiveness of Apple’s App Tracking Transparency. Lockdown Privacy blog. [Accessed online at https://blog.lockdownprivacy.com/2021/09/22/study-effectiveness-of-apples-app-tracking-transparency.html on March 9, 2022]

33.

Lin T, Misra S (2022) Frontiers: the identity fragmentation bias. Marketing Science, forthcoming

34.

Lin X, Nair HS, Sahni NS, Waisman C (2019) Parallel experimentation in a competitive advertising marketplace. arXiv preprint arXiv:1903.11198

35.

Neumann N, Tucker C, Whitfield T (2019) Frontiers: how effective is third-party consumer profiling? Evidence from field studies. Market Sci 38(6):918–926

36.

Rafieian O, Yoganarasimhan H (2021) Targeting and privacy in mobile advertising. Mark Sci 40(2):193–218CrossRef

37.

Ravichandran D, Korula N (2019) Effect of disabling third-party cookies on publisher revenue. Google White Paper. [Accessed online at https://services.google.com/fh/files/misc/disabling_third-party_cookies_publisher_revenue.pdf on October 4, 2021]

38.

Rouzaud A (2021) FLoC origin trial: what we observed (1/4). Criteo R&D Blog. [Accessed online at https://medium.com/criteo-engineering/floc-origin-trial-what-we-observed-3f7e8f209b82 on October 4, 2021]

39.

Runge J, Geinitz S, Ejdemyr S (2020) Experimentation and performance in advertising: an observational survey of firm practices on Facebook. Expert Syst Appl 158:113554

40.

Runge J, Nair H (2021) The role of randomized control trials in online demand generation: exploratory evidence from Facebook. Proceedings of the International Conference on Information Systems (ICIS) 2021

41.

Runge J, Seufert E (2021) Apple is changing how digital ads work. Are advertisers prepared? Harvard Business Review, digital article

42.

Sahni NS, Narayanan S, Kalyanam K (2019) An experimental investigation of the effects of retargeted advertising: the role of frequency and timing. J Mark Res 56(3):401–418CrossRef

43.

Schwartz EM, Bradlow ET, Fader PS (2017) Customer acquisition via display advertising using multi-armed bandit experiments. Mark Sci 36(4):500–522CrossRef

44.

Seiler S, Yao S, Wang W (2017) Does online word of mouth increase demand? (and how?) evidence from a natural experiment. Mark Sci 36(6):838–861CrossRef

45.

Seufert E (2022) RIP GAID: Privacy Sandbox is coming to Android. What advertisers need to know. Mobile Dev Memo. [Accessed online at https://mobiledevmemo.com/rip-gaid-privacy-sandbox-is-coming-to-android-heres-a-summary-of-the-tech/ on February 26, 2022]

46.

Seufert E (2021) Creative paralysis: ad creative production and testing in iOS 14. Mobile Dev Memo. [Accessed online at https://mobiledevmemo.com/creative-paralysis-ad-creative-production-and-testing-for-ios-14/ on October 3, 2021]

47.

Seufert E (2020) How to scale and optimize marketing spend with SKAdNetwork. Mobile Dev Memo. [Accessed online at https://mobiledevmemo.com/how-to-scale-and-optimize-marketing-spend-with-skadnetwork/ on July 13, 2021]

48.

Shapiro BT (2018) Positive spillovers and free riding in advertising of prescription pharmaceuticals: The case of antidepressants. J Polit Econ 126(1):381–437CrossRef

49.

Simonov A, Hill S (2021) Competitive advertising on brand search: Traffic stealing and click quality. Mark Sci 40(5):923–945CrossRef

50.

Thomson M (2022) Privacy preserving attribution for advertising. Mozilla blog. [Accessed online at https://blog.mozilla.org/en/mozilla/privacy-preserving-attribution-for-advertising/ on March 7, 2022]

51.

Tucker CE (2012) The economics of advertising and privacy. Int J Ind Organ 30(3):326–329CrossRef

52.

Urban GL, Liberali G, MacDonald E, Bordley R, Hauser JR (2013) Morphing banner advertising. Mark Sci 33(1):27–46CrossRef

53.

Wagner K (2021) Facebook users said no to tracking. Now advertisers are panicking. Bloomberg. [Accessed online at https://www.bloomberg.com/news/articles/2021-07-14/facebook-fb-advertisers-impacted-by-apple-aapl-privacy-ios-14-changes on October 3, 2021]

54.

Wieringa J, Kannan PK, Ma X, Reutterer T, Risselada H, Skiera B (2021) Data analytics in a privacy-concerned world. J Bus Res 122:915–925CrossRef

55.

Wilander J (2021) Introducing private click measurement, PCM. Apple Webkit blog. [Accessed online at https://webkit.org/blog/11529/introducing-private-click-measurement-pcm/ on March 8, 2022]

56.

Zantedeschi D, Feit EM, Bradlow ET (2017) Measuring multichannel advertising response. Manage Sci 63(8):2706–2728CrossRef

Title: Privacy-Centric Digital Advertising: Implications for Research
Authors: Garrett Johnson
Julian Runge
Eric Seufert
Publication date: 30-03-2022
Publisher: Springer US
Published in: Customer Needs and Solutions / Issue 1-2/2022
Print ISSN: 2196-291X
Electronic ISSN: 2196-2928
DOI: https://doi.org/10.1007/s40547-022-00125-4