The Impact of Ad-Blockers on Product Search and Purchase Behavior: A Lab Experiment

Ad-blocking applications have become increasingly popular among Internet users. Ad-blockers offer various privacyand security-enhancing features: they can reduce personal data collection and exposure to malicious advertising, help safeguard users’ decision-making autonomy, reduce users’ costs (by increasing the speed of page loading), and improve the browsing experience (by reducing visual clutter). On the other hand, the online advertising industry has claimed that ads increase consumers’ economic welfare by helping them find better, cheaper deals faster. If so, using ad-blockers would deprive consumers of these benefits. However, little is known about the actual economic impact of ad-blockers. We designed a lab experiment (N=212) with real economic incentives to understand the impact of ad-blockers on consumers’ product searching and purchasing behavior, and the resulting consumer outcomes. We focus on the effects of blocking contextual ads (ads targeted to individual, potentially sensitive, contexts, such as search queries in a search engine or the content of web pages) on how participants searched for and purchased various products online, and the resulting consumer welfare. We find that blocking contextual ads did not have a statistically significant effect on the prices of products participants chose to purchase, the time they spent searching for them, or how satisfied they were with the chosen products, prices, and perceived quality. Hence we do not reject the null hypothesis that consumer behavior and outcomes stay constant when such ads are blocked or shown. We conclude that the use of ad-blockers does not seem to compromise consumer economic welfare (along the metrics captured in the experiment) in exchange for privacy and security benefits. We discuss the implications of this work in terms of end-users’ privacy, the study’s limitations, and future work to extend these results.

[1]  I. Segal,et al.  What Makes Them Click: Empirical Analysis of Consumer Demand for Search Advertising , 2012 .

[2]  Srdjan Capkun,et al.  Quantifying Web Adblocker Privacy , 2017, ESORICS.

[3]  Daniele Toninelli,et al.  Mobile Research Methods: Opportunities and Challenges of Mobile Research Methodologies , 2015 .

[4]  Ashutosh Kumar Singh,et al.  Blocking online advertising - A state of the art , 2009, 2009 IEEE International Conference on Industrial Technology.

[5]  Judith Lynne Zaichkowsky,et al.  Involvement and the Price Cue , 1988 .

[6]  M. Porter Interbrand Choice, Strategy, and Bilateral Market Power , 1977 .

[7]  Avi Goldfarb,et al.  Online Display Advertising: Targeting and Obtrusiveness , 2011, Mark. Sci..

[8]  Shuk Ying Ho,et al.  Understanding the Impact of Web Personalization on User Information Processing and Decision Outcomes , 2006, MIS Q..

[9]  Hairong Li,et al.  Consumer Privacy Concerns and Preference for Degree of Regulatory Control , 2009 .

[10]  John E Kwoka,et al.  Advertising and the Price and Quality of Optometric Services , 1984 .

[11]  N. Kaldor,et al.  The Economic Aspects of Advertising , 1950 .

[12]  Alessandro Acquisti,et al.  The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study , 2011, WEIS.

[13]  Miklos Sarvary,et al.  Which Products Are Best Suited to Mobile Advertising? A Field Study of Mobile Display Advertising Effects on Consumer Attitudes and Intentions , 2014 .

[14]  Fang Yu,et al.  Knowing your enemy: understanding and detecting malicious web advertising , 2012, CCS '12.

[16]  Y. Charlie Hu,et al.  How much energy can we save from prefetching ads?: energy drain analysis of top 100 apps , 2013, HotPower '13.

[17]  Peter H. Bloch,et al.  Correlates of Price Acceptability , 1988 .

[18]  Carlos Martins-Filho,et al.  A model of vertical differentiation, brand loyalty, and persuasive advertising , 2001 .

[19]  Joseph Kaye,et al.  The Effect of Ad Blocking on User Engagement with the Web , 2018, WWW.

[20]  Edgar R. Weippl,et al.  Block Me If You Can: A Large-Scale Study of Tracker-Blocking Tools , 2017, 2017 IEEE European Symposium on Security and Privacy (EuroS&P).

[21]  Lawrence Fisher,et al.  The Derived Demand for Advertising: A Theoretical and Empirical Investigation , 1982 .

[22]  Vijay Erramilli,et al.  Detecting price and search discrimination on the internet , 2012, HotNets-XI.

[23]  Daniel A. Ackerberg Empirically Distinguishing Informative and Prestige Effects of Advertising , 2001 .

[24]  M. Keane,et al.  Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets , 1996 .

[25]  R. Shay,et al.  Measuring the Effectiveness of Privacy Tools for Limiting Behavioral Advertising , 2012 .

[26]  Subir Bandyopadhyay,et al.  Advertising Competition Under Consumer Inertia , 2003 .

[27]  Amna Kirmani,et al.  The Effect of Perceived Advertising Costs on Brand Perceptions , 1990 .

[28]  Athina Markopoulou,et al.  NoMoAds: Effective and Efficient Cross-App Mobile Ad-Blocking , 2018, Proc. Priv. Enhancing Technol..

[29]  Aiko Pras,et al.  The Hidden Energy Cost of Web Advertising , 2010 .

[30]  M. Angela Sasse,et al.  Too close for comfort: a study of the effectiveness and acceptability of rich-media personalized advertising , 2012, CHI.

[31]  M. Degroot,et al.  Measuring utility by a single-response sequential method. , 1964, Behavioral science.

[32]  N. Azad,et al.  Measuring Purchase-decision involvement , 2014 .

[33]  Abram Hindle,et al.  Green mining: energy consumption of advertisement blocking methods , 2014, GREENS 2014.

[34]  Craig E. Wills,et al.  What Ad Blockers Are (and Are Not) Doing , 2016, 2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb).

[35]  Yang Wang,et al.  Why Johnny can't opt out: a usability evaluation of tools to limit online behavioral advertising , 2012, CHI.

[36]  Yang Wang,et al.  What matters to users?: factors that affect users' willingness to share information with online advertisers , 2013, SOUPS.

[37]  R. Preston McAfee,et al.  The cost of annoying ads , 2013, WWW '13.

[38]  Ioana Chioveanu,et al.  Advertising, brand loyalty and pricing , 2008, Games Econ. Behav..

[39]  Viswanathan Swaminathan,et al.  Audience Validation in Online Media Using Limited Behavioral Data and Demographic Mix , 2017, Int. J. Semantic Comput..

[40]  Steven Tadelis,et al.  Consumer Heterogeneity and Paid Search Effectiveness: A Large Scale Field Experiment , 2014 .

[41]  Gianluca Stringhini,et al.  The Dark Alleys of Madison Avenue: Understanding Malicious Advertisements , 2014, Internet Measurement Conference.

[42]  Amna Kirmani,et al.  Money Talks: Perceived Advertising Expense and Expected Product Quality , 1989 .

[43]  Anthony J. Hornof,et al.  High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten , 2005, TCHI.

[44]  Zhiyun Qian,et al.  Detecting Anti Ad-blockers in the Wild , 2017, Proc. Priv. Enhancing Technol..

[45]  S. Chapman Advertising as information , 1999 .

[46]  Michael Carl Tschantz,et al.  Exploring User Perceptions of Discrimination in Online Targeted Advertising , 2017, USENIX Security Symposium.

[47]  Paul Barford,et al.  Ad Blockers: Global Prevalence and Impact , 2016, Internet Measurement Conference.

[48]  Anja Feldmann,et al.  Annoyed Users: Ads and Ad-Block Usage in the Wild , 2015, Internet Measurement Conference.

[49]  R. Caves,et al.  Brands' quality levels, prices, and advertising outlays: empirical evidence on signals and information costs , 1996 .

[50]  Colin Sowman Dying for information , 2015 .

[51]  Andreas Herrmann,et al.  An empirical analysis of the determinants of price tolerance , 2004 .

[52]  J. Deighton,et al.  The Effects of Advertising on Brand Switching and Repeat Purchasing , 1994 .

[53]  J. Turow,et al.  Americans Reject Tailored Advertising and Three Activities that Enable It , 2009 .

[54]  Paul Barford,et al.  Impression Fraud in On-line Advertising via Pay-Per-View Networks , 2013, USENIX Security Symposium.

[55]  H. Nissenbaum Privacy as contextual integrity , 2004 .

[56]  Ayman Farahat How effective is targeted advertising? , 2013, ACC.

[57]  TuroffMurray,et al.  Structuring computer-mediated communication systems to avoid information overload , 1985 .

[58]  Carlisle E. Moody,et al.  Quality, Price, Advertising, and Published Quality Ratings , 1983 .

[59]  A. Oozeer Internet privacy rights. Rights to protect autonomy , 2015 .

[60]  D. Kahneman,et al.  Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias , 1991 .

[61]  Ramnath K. Chellappa,et al.  Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma , 2005, Inf. Technol. Manag..

[62]  David H. Reiley,et al.  Here, there, and everywhere: correlated online behaviors can lead to overestimates of the effects of advertising , 2011, WWW.

[63]  Wen Zhang,et al.  How much can behavioral targeting help online advertising? , 2009, WWW '09.

[64]  Jan Stallaert,et al.  An Economic Analysis of Online Advertising Using Behavioral Targeting , 2010, MIS Q..

[65]  P. Bloom,et al.  An Experiment in the Economics of Advertising , 1982 .

[66]  Michael Carl Tschantz,et al.  Automated Experiments on Ad Privacy Settings , 2014, Proc. Priv. Enhancing Technol..

[67]  Suman Nath,et al.  Prefetching mobile ads: can advertising systems afford it? , 2013, EuroSys '13.

[68]  P. Doyle Economic Aspects of Advertising: A Survey , 1968 .

[69]  Michael E. Porter,et al.  Consumer Behavior, Retailer Power and Market Performance in Consumer Goods Industries , 1974 .

[70]  Amna Kirmani Advertising Repetition as a Signal of Quality: If It's Advertised So Much, Something Must Be Wrong , 1997 .

[71]  Anindya Ghose,et al.  Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence? , 2010, Mark. Sci..

[72]  Muhammad Ikram,et al.  A first look at mobile Ad-Blocking apps , 2017, 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA).

[73]  David Bawden,et al.  Perspectives on information overload , 1999 .

[74]  P. Doyle ADVERTISING EXPENDITURE AND CONSUMER DEMAND , 1968 .

[75]  Matthew Smith,et al.  On the ecological validity of a password study , 2013, SOUPS.

[76]  P. Homer Ad Size as an Indicator of Perceived Advertising Costs and Effort: The Effects on Memory and Perceptions , 1995 .

[77]  Francis Bloch,et al.  Corrigendum 1 1 We are grateful to David Hennessy for pointing out this mistake in our original paper. to “Persuasive advertising in Hotelling’s model of product differentiation” , 1999 .

[78]  Dorothea Braithwaite,et al.  The Economic Effects of Advertisement , 1928 .

[79]  Lujo Bauer,et al.  Guess Again (and Again and Again): Measuring Password Strength by Simulating Password-Cracking Algorithms , 2012, 2012 IEEE Symposium on Security and Privacy.

[80]  Naresh K. Malhotra,et al.  Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model , 2004, Inf. Syst. Res..

[81]  J. Jacoby Information Load and Decision Quality: Some Contested Issues , 1977 .

[82]  C. Fornell,et al.  The Relationship between Advertising and Product Quality over the Product Life Cycle: A Contingency Theory , 1988 .

[83]  John C. Mitchell,et al.  Third-Party Web Tracking: Policy and Technology , 2012, 2012 IEEE Symposium on Security and Privacy.

[84]  Timothy Van Zandt,et al.  Information Overload in a Network of Targeted Communication , 2001 .

[85]  Avi Goldfarb,et al.  Privacy Regulation and Online Advertising , 2010, Manag. Sci..

[86]  Oliver J. Rutz,et al.  From Generic to Branded: A Model of Spillover in Paid Search Advertising , 2011 .

[87]  Yang Wang,et al.  Smart, useful, scary, creepy: perceptions of online behavioral advertising , 2012, SOUPS.

[88]  Justin M. Rao,et al.  The Unfavorable Economics of Measuring the Returns to Advertising , 2014 .

[89]  Arvind Narayanan,et al.  Online Tracking: A 1-million-site Measurement and Analysis , 2016, CCS.

[90]  J. Rubenfeld The Right of Privacy , 1989 .

[91]  John Morgan,et al.  Brand and Price Advertising in Online Markets , 2004, Manag. Sci..

[92]  Krishan Kumar,et al.  Public and private in thought and practice : perspectives on a grand dichotomy , 1998 .