The 10 most-cited articles in Journal of Marketing, 2022

Influencer marketing initiatives require firms to select and incentivize online influencers to engage their followers on social media in an attempt to promote the firms’ offerings. However, limited research considers the costs of influencer marketing when evaluating these campaigns’ effectiveness, particularly from an engagement elasticity perspective. Moreover, it is unclear whether and how marketers could enhance influencer marketing effectiveness by strategically selecting influencers, targeting their followers, or managing content. This study draws on a communication model to examine how factors related to the sender of a message (influencer), the receiver of the message (influencer's followers), and the message itself (influencer's posts) determine influencer marketing effectiveness. The findings show that influencer originality, follower size, and sponsor salience enhance effectiveness, and posts that announce new product launches diminish it. Several tensions arise when firms select influencers and manage content: Influencer activity, follower–brand fit, and post positivity…

Influencers’ follower count, or indegree, is a key criterion that advertisers use when devising influencer marketing campaigns. However, whether influencers with lower or higher follower count are more effective in generating engagement remains an open question. This multimethod research effort—involving an observational field data analysis, based on 802 Instagram marketing campaigns featuring more than 1,700 influencers, together with an eye-tracking study and laboratory experiments—establishes conclusive evidence of an inverted U-shaped relationship between influencers’ follower count and engagement with sponsored content. A higher follower count implies broader reach but also cues a weaker relationship that reduces followers’ engagement likelihood. That is, engagement first increases, then decreases, as influencer follower count rises. The authors further test the potential moderating effects of two campaign properties: content customization and brand familiarity. Higher content customization and lower familiarity of the sponsored brand signal that influencers value their…

A theory-first paradigm tends to be the dominant approach in much academic marketing research. In this approach, a theory is borrowed, refined, or developed and then tested empirically. In this challenging-the-boundaries article, the authors make a case for an empirics-first approach. “Empirics-first” refers to research that (1) is grounded in (originates from) a real-world marketing phenomenon, problem, or observation, (2) involves obtaining and analyzing data, and (3) produces valid marketing-relevant insights without necessarily developing or testing theory. The empirics-first approach is not antagonistic to theory but rather can serve as a stepping-stone to theory. The approach lends itself well to today’s data-rich environment, which can reveal novel research questions untethered to theory. The present article describes the underlying principles of an empirics-first approach, which consists of exploring a domain purposefully without preconceptions. Using a rich set of published examples, the authors offer guidance on how to implement empirics-first research and how it can lead…

This article aims to broaden the understanding of quasi-experimental methods among marketing scholars and those who read their work by describing the underlying logic and set of actions that make their work convincing. The purpose of quasi-experimental methods is, in the absence of experimental variation, to determine the presence of a causal relationship. First, the authors explore how to identify settings and data where it is interesting to understand whether an action causally affects a marketing outcome. Second, they outline how to structure an empirical strategy to identify a causal empirical relationship. The article details the application of various methods to identify how an action affects an outcome in marketing, including difference-in-differences, regression discontinuity, instrumental variables, propensity score matching, synthetic control, and selection bias correction. The authors emphasize the importance of clearly communicating the identifying assumptions underlying the assertion of causality. Last, they explain how exploring the behavioral mechanism—whether…

What are the effects of a brand's owned social media? This meta-analysis examines the impact of owned social media on social media engagement and sales. Whereas the findings support some current beliefs (e.g., owned social media are more effective to boost sales for new [vs. mature] products), it highlights several novel insights. Contrary to popular beliefs that owned social media mainly drive engagement and hardly affect sales, the results show the opposite, with an average elasticity of .137 for social media engagement and .353 for sales. In addition, the results suggest ways to better adapt owned social media content to communication goals. To create engagement, content needs to focus on emotional needs and steer away from deals, which are the least effective content type. To stimulate sales, content should be more functional, rather than emotional, in nature and communicate product benefits. Surprisingly, the authors find that growing a large social media community is not essential for boosting sales, as owned social media are more effective for brands with fewer followers.…

Marketing scholars increasingly use web scraping and application programming interfaces (APIs) to collect data from the internet. Yet, despite the widespread use of such web data, the idiosyncratic and sometimes insidious challenges in its collection have received limited attention. How can researchers ensure that the data sets generated via web scraping and APIs are valid? While existing resources emphasize technical details of extracting web data, the authors propose a novel methodological framework focused on enhancing its validity. In particular, the framework highlights how addressing validity concerns requires the joint consideration of idiosyncratic technical and legal/ethical questions along the three stages of collecting web data: selecting data sources, designing the data collection, and extracting the data. The authors further review more than 300 articles using web data published in the top five marketing journals and offer a typology of how web data have advanced marketing thought. The article concludes with directions for future research to identify promising web data…

To date, the literature offers multiple suggestions for how to recover from service failures, albeit without explicitly addressing customers’ negative, high-arousal states evoked by the failure. The few studies that do address ways to improve negative emotions after failures focus on face-to-face interactions only. Because many customers today prefer to complain on social media, firms must learn how to effectively de-escalate negative, high-arousal emotions through text-based exchanges to achieve successful service recoveries. With three field studies using natural language processing tools and three preregistered controlled experiments, the current research identifies ways to mitigate negative arousal in text-based social media complaining, specifically, active listening and empathy. In detail, increasing active listening and empathy in the firm response evokes gratitude among customers in high-arousal states, even if the actual failure is not (yet) recovered. These findings provide a new theoretical perspective on the role of customer arousal in service failures and recoveries as…

This research challenges the entrenched belief that financial vulnerability affects only low-income consumers. Instead, most consumers across the socioeconomic spectrum experience varying degrees of financial vulnerability at different points during their lives, whether sporadically or chronically; vulnerability is dynamic and heterogeneous. The authors propose a novel, theory-driven definition of consumer financial vulnerability (CFV) as the risk of incurring future harm, given the consumer's current access to various financial resources. A new conceptual framework decouples “vulnerability” from “harm” to distinguish the state of CFV, its determinants (access to various interdependent financial resources), and the constructs it foreshadows (multiple interconnected forms of realized harm). Five research propositions follow: (1) financial resource volatility plays a vital role in CFV, (2) recovering from harm requires more financial resources than preventing harm, (3) a multiperiod lens is needed to assess CFV accurately, (4) greater financial resource access can increase CFV, and…

Patients increasingly rely on online physician ratings to select their physicians and make health care decisions. However, it is unclear whether online physician ratings signal physician quality information and affect patients’ physician choices. By combining physician rating data from Yelp with data from Medicare, which covers a large elderly patient group, the authors find that ratings are positively associated with important measures of physician quality, including physicians’ credentials, adherence to clinical guidelines, and patients’ health outcomes. They introduce novel instrumental variables, where reviewers’ leniency in rating other businesses is employed as an instrument for physicians’ ratings. They find that an increase in physicians’ average rating increases physicians’ patient flow. To understand the quality signals that patients respond to, the authors also use the latent Dirichlet allocation model and extract topics from review texts. Patients respond differentially to different information and respond most to information about physicians’ interpersonal and clinical…

This research analyzes the cultural contradictions of authenticity as they pertain to the actions of consumers and marketers. The authors’ conceptualization diverges from the conventional assumption that the ambiguity manifest in the concept of authenticity can be resolved by identifying an essential set of defining attributes or by conceptualizing it as a continuum. Using a semiotic approach, the authors identify a general system of structural relationships and ambiguous classifications that organize the meanings through which authenticity is understood and contested in a given market context. They demonstrate the contextually adaptable nature of this framework by analyzing the authenticity contradictions generated by the cultural tensions between “conscious capitalism”—a market logic that encompasses both global brands and small independent businesses, such as a farm-to-table restaurant or an organic food co-op—and the elitist critique. The Slow Food movement provides a case study for analyzing how consumers, producers, and entrepreneurs who identify with conscious capitalist…