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International Journal of Advertising
The Review of Marketing Communications
Volume 43, 2024 - Issue 3
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Editorial

Ad skipping, the ‘ad free internet’ and privacy: a call for research

A recent article in the Economist titled “Welcome to the Ad Free Internet” focuses on how some social media companies are beginning to offer (e.g. Meta in Europe) or experiment with (e.g. TikTok) ad free versions of their feeds (The Economist Citation2023). Meanwhile, Apple allows customers to opt out of being tracked and other mega-firms may recognize that due to their own massive databases they do not need to be as reliant on cookies or other tracking mechanisms (The Economist Citation2023) and other social media giants may consider whether their own huge databases provide them with a competitive advantage when strong regulation goes into place (e.g. Europe’s General Data Privacy Regulation).

While the move of some social media outlets toward offering feeds free of ads should be noticed, some skepticism as to the degree to which consumers will pay to be ad-free is warranted. Indeed, it is difficult to foresee a day where these types of formats will carry the day, even among a majority of wealthy consumers—standards of living simply are not such that most people will be willing to pay to get rid of ads in their feeds in exchange for a recurring monthly fee. Indeed, some “ad-free” streaming outlets such as Netflix have begun to experiment with lowering subscription fees for those willing to view ads. It also seems to be the case that many consumers recognize the value of receiving ads better targeted to their interests, albeit within boundaries. That said, the idea that there is some market, even if modest in size, for ad-free services points to the need for more research on privacy concerns of consumers in the digital environment as well as ad skipping behavior.

Without doubt, there are pros and cons of targeted digital advertising on consumer welfare (see Borenstein and Taylor Citation2023). Traditional data management platforms assembled by compiling merged lists and/or tracking activity or behavior on the internet al.low consumers to receive more relevant ads when used, but also raise privacy concerns. Behavioral targeting can offer identity consistent messaging and behavioral incentives but risks exposing sensitive information and in some instances creating risks for vulnerable populations and even fostering addiction (e.g. gambling, alcoholism). With geographic targeting becoming more common, ad messages can be effectively targeted across time and space, yet there are concerns about lost anonymity and intrusiveness related to the advertiser knowing an individual’s location.

Concurrent with concerns about negative impacts of targeting is a need for a deep understanding of consumer attitudes towards targeted online advertising and privacy issues. While consumer privacy as pertains to marketing and advertising has a long and productive history (e.g. Milne and Culnan Citation2004; Boerman and Smit Citation2023), current issues such as attitudes towards demographic/psychographic targeting, behavioral targeting and geographic targeting is needed (see Borenstein and Taylor Citation2023 for a detailed agenda). Issues such as what types of data consumers see to be public vs. private in the online environment and whether this varies by product and service type need to be investigated. In addition, more focus on vulnerability and specifically, situational vulnerability to targeting is needed. As noted by Hill and Sharma (Citation2020) note, broad groups sometimes characterized as vulnerable (e.g. minorities, older consumers) may not be generally vulnerable though all or part of a group may be in certain targeting contexts.

More research on ad skipping is also clearly needed. While there have been numerous strong studies of ad skipping in traditional media (e.g. Wilbur Citation2016) and pre-roll viewing vs. skipping of ads, (Belanche, Flavián, and Pérez-Rueda Citation2017; Campbell et al. Citation2017; Ge et al. Citation2021; Frade, Oliveira, and Giraldi Citation2023; Kim et al. Citation2023), more knowledge of general attitudes toward ad avoidance in the digital context is needed. One study that provided considerable insight is Van der Goot et al. (Citation2018), but given recent developments, more study of consumer perceptions is needed. In essence, research on consumer view of trade-offs between benefits and costs of targeted advertising that teases out what consumers value (and how much they value it) along with their perceptions of costs and boundaries is needed. In addition, a focus on how these attitudes ultimately impact receptivity or avoidance of ads is needed.

Charles R. Taylor
Villanova University
[email protected]

Disclosure statement

No potential conflict of interest was reported by the author(s).

References

  • Belanche, D., C. Flavián, and A. Pérez-Rueda. 2017. User adaptation to interactive advertising formats: The effect of previous exposure, habit and time urgency on ad skipping behaviors. Telematics and Informatics 34, no. 7: 961–72.
  • Boerman, S.C., and E.G. Smit. 2023. Advertising and privacy: An overview of past research and a research agenda. International Journal of Advertising 42, no. 1: 60–8.
  • Borenstein, B.E., and C.R. Taylor. 2023. The effects of targeted digital advertising on consumer welfare. Journal of Strategic Marketing 31, no. 6: 1–16.
  • Campbell, C., F. Mattison Thompson, P.E. Grimm, and K. Robson. 2017. Understanding why consumers don’t skip pre-roll video ads. Journal of Advertising 46, no. 3: 411–23.
  • Frade, J.L.H., J.H.C.D. Oliveira, and J.D.M.E. Giraldi. 2023. Skippable or non-skippable? Pre-roll or mid-roll? Visual attention and effectiveness of in-stream ads. International Journal of Advertising 42, no. 8: 1242–66.
  • Ge, J., Y. Sui, X. Zhou, and G. Li. 2021. Effect of short video ads on sales through social media: The role of advertisement content generators. International Journal of Advertising 40, no. 6: 870–96.
  • Hill, R.P., and E. Sharma. 2020. Consumer vulnerability. Journal of Consumer Psychology 30, no. 3: 551–70.
  • Kim, S.J., M.H. Lee, J. Hong, and S. Park. 2023. How mobile users respond to pre-roll skippable advertising differently than personal computer (PC) users: An analysis of individual-level clickstream data. International Journal of Advertising 42, no. 4: 713–39.
  • Milne, G.R., and M.J. Culnan. 2004. Strategies for reducing online privacy risks: Why consumers read (or don’t read) online privacy notices. Journal of Interactive Marketing 18, no. 3: 15–29.
  • The Economist. 2023. Welcome to the ad-free internet. The Economist. https://www.economist.com/business/2023/12/11/welcome-to-the-ad-free-internet
  • Van der Goot, M.J., E. Rozendaal, S.J. Opree, P.E. Ketelaar, and E.G. Smit. 2018. Media generations and their advertising attitudes and avoidance: A six-country comparison. International Journal of Advertising 37, no. 2: 289–308.
  • Wilbur, K.C. 2016. Advertising content and television advertising avoidance. Journal of Media Economics 29, no. 2: 51–72.

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