Journal of Interactive Marketing

Influencers can disclose vlog advertising by implementing a platform-generated disclosure or by generating their own disclosure. This study aims to investigate whether and how these two types of disclosures differentially affect children's responses toward the sponsored content and the influencer. To do so, a two (platform-generated [PG] disclosure: no PG disclosure versus PG disclosure) by three (influencer-generated [IG] disclosure: no IG disclosure versus no commercial interference disclosure versus commercial interference disclosure) between-subjects experimental study was conducted among 190 children (aged ten to twelve). The results show that both types of disclosures increased children's recognition of vlog advertising; however, children's advertising literacy (i.e. their understanding of influencer marketing and skepticism toward the ad) was less activated when the influencer specifically indicated that there was no commercial interference of the brand. In addition, besides being more beneficial for influencers (by not negatively affecting children's evaluations of the influencer), an IG disclosure also showed to be more favorable for brands, as it increased brand effects among children, whereas a PG disclosure decreased these brand effects.

Consumers leave traces of key interest to managers on their journey to purchase. Next to traditional survey-based attitudes, readily available online metrics now show aggregate consumer actions. But how do survey response metrics and online action metrics relate to each other? To what extent do they explain and predict brand sales across consumer categories? This article shows that surveys and online behavior provide complementary information for brand managers. Times series data for 32 brands in 14 categories reveal low correlations but substantial dual causality between survey metrics and online actions. Combining both types of metrics greatly increases the model's power to explain and predict brand sales in low-involvement categories. By contrast, high-involvement categories do not gain much from adding survey-based attitudes to a model including online behavior metrics. The authors synthesize these generalizations in a new framework relating enduring attitudes to the contextual interest expressed by online actions. This new framework helps managers assess both types of metrics to drive brand performance depending on whether their goal is short-term sales or long-term brand health.

This research explores the effects of tentativeness in online product reviews on consumers’ product attitude certainty and behavioral intentions. Drawing on salience theory, attribution theory, and work in attitude certainty, I predict that, when consumers who have seen positive reviews of a product are exposed to a tentative review, their attitude certainty and willingness to purchase is reduced. I also predict that consumer reactions differ depending on the expertise of the review source as well as the product experience of the consumer.

I also address confidence in information completeness as the metacognitive mechanism that explains the tentative review effect. Specifically, I argue that consumers who see a tentative review are sensitized to potentially missing information, which reduces their attitude certainty and willingness to purchase.

Our hypotheses are tested in a series of experiments which demonstrate that tentativeness reduces attitude certainty and willingness to purchase but that the effect is attenuated when the reviewer is a novice and when the consumer has a high level of product experience. Based on the findings, I discuss our contributions to theory and suggest practical steps that firms can take to mitigate the effects of tentative reviews.

Research on online retailer–customer interactions has extensively focused on how to turn negative reviews into marketing wins. By contrast, few prior studies have investigated how retailers should best respond to positive reviews. The current study aims to fill this gap. Drawing on interpersonal relationship research into capitalizing on positive experience, together with reinforcement effect theory and automatic behavioral priming theory, this study explores how retailers should respond to positive reviews to drive consumer repurchase intention. Two laboratory experiments reveal that an active–constructive response in a friendly communication style increases consumer repurchase intention, and consumer positive affect mediates this process. Our findings provide new theoretical insights and useful guidance for retailers on designing effective online communication strategies for consumers.

Native advertising and storytelling are both increasingly popular advertising strategies. This research explores the effectiveness of storytelling in a native advertising context on social media. While most research recommends the use of stories as a way to build trust and relationships with consumers, the current research suggests that in the form of native ads on social media, narratives may be less effective when compared to informational native ads. Two studies find that even when advertising cues such as disclosure labels and brand presence are prominently located, consumers are less likely to recognize the advertising nature of narrative native ads when compared to informational native ads. Lower levels of advertising recognition are associated with increased perceptions of manipulative intentions by the advertiser, which has a negative influence on consumers’ attitudes toward the ad. The findings suggest that native ads that clearly communicate their advertising nature through cues such as an informational execution, high brand presence, and prominent disclosure labeling are more effective than a narrative execution style.

Using a six-dimension uses and gratifications (U&G) framework, we explore how social media use motivations drive consumers’ online brand-related activities (COBRAs: consumption, contribution, and creation of brand-related content). We examine these relationships for different social media types by drawing on two previously suggested dimensions, namely their nature of connections and level of customization of messages. Using a US-based sample (n = 939), findings of a PLS-SEM procedure show that “traditional” U&G hardly explain social media COBRAs. In contrast, Empowerment and Remuneration motives—two U&G specifically relevant for social media use—are the most critical COBRAs drivers. Multigroup analyses suggest that the relation between U&G and COBRAs differs between social media platforms classified either as: (a) profile- or content-based; or as employing (b) customized or broadcast messages. We argue for a specific design of brand-related activities on different social media in order to incentivize users’ engagement with brand-related content.

Consumers often share product-related content (e.g., advertising), and highly shared advertising has a huge impact on consumer behavior. Despite its apparent effectiveness, prediction of whether such advertising will be highly shared is a poorly understood area of marketing. Advances in brain imaging techniques may allow researchers to forecast aggregate consumer behavior beyond subjective reports. Using neuroimaging techniques, previous research has established models showing that expectations of self-related outcomes (potential for self-enhancement) and the social impact of sharing (potential for social approval) contribute to the likelihood of users sharing non-commercial static content (i.e., text-based health news). However, whether this finding can be applied to forecasting the virality of dynamic commercial stimuli, which is more relevant to interactive marketing (i.e., video ads), remains unknown. Combining brain imaging techniques, cross-validation methods, and real-world data regarding sharing on social media, the present study investigated whether brain data can be used to forecast the viral marketing success of video ads. We used neuroimaging (functional magnetic resonance imaging: fMRI) to measure neural activity during three sets of theory-driven neural measures implicated in value, self, and social (mentalizing) processes while 40 participants viewed video ads that brands had posted on Facebook. Contrary to previous findings regarding value-related virality in non-commercial static content, our results indicate that social-related neural activity contributes significantly to forecasting the virality of dynamic marketing-related content. The model that included both social-related neural measures and subjective intentions to share forecasted viral marketing success better than the model that included only social-related neural measures. The model that included only subjective intention to share did not forecast viral marketing success. Overall, these findings provide a novel connection between neurophysiological measures and real-world dynamic commercial content. Contrary to previous neuroforecasting findings, social-related but not value-related neural measures can significantly improve our ability to predict market-level sharing of video ads.

Past research has demonstrated that consumer-to-consumer (C2C) conflicts, here defined as uncivil social interactions between consumers, can have a negative impact on consumers’ engagement in social media fan pages (SMFPs). Little is known, however, about how best to manage such conflicts, and this is particularly true in the non-profit context. This paper follows a mixed-method approach in order to address this research gap. Study 1 uses a netnography of a non-profit organization (NPO) to examine how it manages C2C conflicts on its SMFP. Five different conflict-management strategies are identified: non-engaging, censoring, bolstering, educating, and mobilizing. These findings inform Study 2, an online experiment to test how different strategies affect consumers’ attitudes towards the conflict-management approach itself and towards the NPO's social responsibility. Study 2 also accounts for the moderating effect of the conflict content, differentiating between whether a conflict relates to a consumer's self-benefit or the benefit to others. Our results offer insights for practitioners into preferable content management strategies when consumers engage in different types of conflict on social media platforms.