Getting the word out on Twitter: the role of influentials,information brokers and strong ties in building word-of-mouth for brands

Using a sample of over 5300 tweets from top global brands, this study investigated how different types of users can influence brand content diffusion via retweets. Twitter users who influenced followers to retweet brand content were categorized as (1) influentials, because of their above average ability to influence others to retweet their tweets (in general), (2) information brokers, because of their position connecting groups of users or (3) having strong ties, because of their high percentage of friends in common and a mutual friend–follower relationship with the influenced follower. The results indicate that influentials and information brokers are associated with larger number of retweets for brand content. In addition, although information brokers have a larger overall influence on retweeting, they are more prone to do so when influentials are mentioned in the brand tweet, providing support for the strategy that aims to associate the brand with influential users.     

‘Retweet for a Chance to…’: an analysis of what triggers consumers to engage in seeded eWOM on Twitter

Twitter provides an important channel for brands to seed electronic word of mouth (eWOM) by followers retweeting brand messages, but prior research has not established a theoretical framework for how brands can maximise eWOM. This study presents and tests a theoretical model incorporating interactive, textual and visual tweet features to predict eWOM, using tweets by leading brands from three industries. Industry was found to be an important moderator of the effect of tweet features; after controlling for the reach and frequency of tweets, hashtags, retweet requests and photos were consistently associated with a higher retweet rate across industries, but the effect of URL links, non-initial mentions and video varied across industries, in some cases decreasing the retweet rate. Implications for research and practice are discussed.     

Payday Loan Marketing in Social Media Networks

The payday lending industry has grown dramatically over the past two decades, with lenders increasingly marketing their products on the Internet. However, little is known about payday loan (PDL ) marketing through social media networks. Our study is the first to report the PDL promotions on Twitter. Out of 23,276 tweets related to PDLs from June 29, 2015 to October 2, 2015, 71% were commercial tweets, most of which came from a small percentage of users. The overall impact to the general public was large and we observed a range of opinions in our sentiment analysis. Commercial tweets had an average sentiment score of 34.9 while noncommercial had a total average sentiment score of 50.7. Commercial tweets were more concentrated in states with restrictive or hybrid regulations on PDL . Our findings provide evidence for enhancing online PDL regulations and using social media data for real‐time monitoring of PDL lending.     

User engagement for mobile payment service providers – introducing the social media engagement model

Twitter is being used by mobile wallet firms for customer acquisition, relationship management, marketing and promotional purposes. This study examines service advertisement and promotional tweets by mobile wallet firm's on Twitter. For this study, timeline data of top four mobile wallet firms of India, Paytm, MobiKwik, Freecharge and Oxigen Wallet were extracted from their Twitter screen (firm generated tweets). The user generated tweets were also extracted, using the search terms as firm's name. This study proposes a Social Media Engagement model for understanding user dynamics. The study provides three interesting inputs for promotional marketing tweets, firstly, firm should post mix of the tweets with respect to content type (i.e. informational, entertainment, remuneration and social). Secondly, a periodic campaigning is needed by the firms; and lastly, firms should focus on increasing their network size. The implications of these findings can help firm's managers and marketers in planning effective social media marketing campaigns.     

Competing Voices: Marketing and Counter-Marketing Alcohol on Twitter

Excessive alcohol consumption constitutes a global health problem, and despite increasing efforts to promote safe drinking, spending on alcohol advertising far outweighs spending on safe-drinking messages. Twitter represents a new channel for social marketing, but its use to promote safe drinking has not been examined. In this study, six Twitter accounts maintained by advocates of safe drinking and/or abstinence were compared with six accounts maintained by alcohol companies using a mixed-method design. The Twitter accounts of alcohol companies were followed by more people, and their tweets were more likely to use interactive features such as hashtags, to be forwarded to others, and to be associated with positive stimuli, suggesting greater interactivity and influence than prohealth Twitter messages. The results suggest social marketers may benefit from adopting the practices of for-profit marketers to increase the visibility of, engagement with, and influence of their tweets.     

An Investigation of Brand-Related User-Generated Content on Twitter

The big data of user-generated content (UGC) on social media are laden with potential value for brand managers. However, there are many obstacles to using big data to answer brand-management questions. This article presents a framework that automatically derives latent brand topics and classifies brand sentiments. It applies text mining with latent Dirichlet allocation (LDA) and sentiment analysis on 1.7 million unique tweets for 20 brands across five industries: fast food, department store, footwear, electronics, and telecommunications. The framework is used to explore four brand-related questions on Twitter. There are three main findings. First, product, service, and promotions are the dominant topics of interest when consumers interact with brands on Twitter. Second, consumer sentiments toward brands vary within and across industries. Third, separate company-specific analyses of positive and negative tweets generate a more accurate understanding of Twitter users' major brand topics and sentiments. Our findings provide brand managers with actionable insights in targeted advertising, social customer relationship management (CRM), and brand management.     

Composing tweets to increase retweets

Brands tweet not only to communicate with followers but also to reach large audiences rapidly when the tweets are retweeted by the followers. People however will retweet only if they recognize within a few seconds that the tweet is on an interesting topic. Brands therefore need insights into how to compose tweets to facilitate topic recognition even when they are just scanned. This is the issue that we address in this research. Specifically, drawing on findings in psycholinguistics, we empirically investigate if tweets composed such that they include more topic-related words that are located closer to the start get more retweets. Results from an investigation of sales-promotional tweets by sixty brands in four categories indicate that tweets that are composed as above do get more retweets. We repeat the investigation using tweets on several other topics from a natural experiment that generated pairs of tweets where each pair is on the same topic but each tweet in the pair is composed differently. This investigation reconfirms the findings from the analysis of retweets of sales-promotional tweets. We conclude by presenting an approach for how social media managers can compose tweets based on our findings.     

Following brands on Twitter: an extension of theory of planned behavior

Due to its immediacy and efficiency, Twitter has recently emerged as a form of marketing communication tool that offers unique advantages for two-way communication between marketers and consumers. This study examines brand-following behavior on Twitter using the Ajzen's model of theory of planned behavior (TPB). Results show that attitude toward brand following, subjective norm, perceived behavioral control, and brand attachment are positively associated with intention to follow brands on Twitter. Consumers’ intention to create (i.e., intention to tweet at brands) and disseminate (i.e., intention to retweet the links of brands) brand-related information, as well as purchase intention, are the outcomes of intention to follow brands on Twitter. Overall findings suggest that TPB model can be used to predict Twitter users’ brand-following behavior. More importantly, our finding that brand attachment drives consumer intention to follow brands on Twitter extends the TPB framework. This study provides both theoretical and managerial implications.     

Predicting sports fans’ engagement with culturally aligned social media content: A language expectancy perspective

There is limited research showing how strategically generated content can boost Twitter engagement. The problem is acute for sports clubs with large fan bases. We determine the ideal content generation strategy using Hofstede's Cultural Dimensions and Language Expectancy theory. This study examines whether culturally aligned tweets can improve fan engagement. Using tweets from a sports league, we demonstrate that culturally aligned features may be used to build machine learning and deep learning models that predict a tweet's engagement level. According to our research, culture-specific social media content that meet fans' language expectations can increase Twitter engagement.     

Seek or destroy? Examining value creation and destruction in behaviour maintenance in social marketing

This article presents an empirical investigation of how behaviour maintenance is supported or hindered through value creation and destruction in social marketing. Using a longitudinal, netnographic approach, we identify and examine the key facilitators and barriers encountered during the maintenance of physical and mental health behaviours. Data were collected over a 12-week observation period via Twitter from a sample of 242 participants. A total of 5212 tweets were analysed using content and thematic analysis facilitated by NVivo software program. The findings identify key barriers to and facilitators of behaviour maintenance at the individual level (downstream), meso level (midstream), and policy level (upstream) that have an influence on value creation and destruction in social marketing. These findings demonstrate the importance of employing a strategic and integrated approach to social change management.     

Ethical Codes in Sports Organizations: Classification Framework,Content Analysis,and the Influence of Content on Code Effectiveness

Although there is a growing body of research on social media, only few studies have considered organic products. Therefore, this study mapped the diffusion path of the social media resources for organic products in Mexico and South Korea through Twitter and compared the contents of tweets about organic products in terms of their semantic and hyperlink networks using webometric methods. The results indicate that for organic products, Koreans sent tweets much more frequently than Mexicans. Mexican tweets focused on basic food products in street markets, whereas Korean tweets highlighted promotions and firms, revealing the corporatist structure of its economy. In both cases, the findings support Twitter as a useful tool for Word-of-Mouth Communication on the online environment, among product consumers, and between consumers and enterprises.     

A cross-national study of Twitter users’ motivations and continuance intentions

Given the explosive popularity and growth of microblogging worldwide and its potential use in the areas of public policy, civic activism, as well as marketing and advertising, the questions of why and how individuals use these services warrant a comprehensive research. While some studies addressing motivations to join and continue using Twitter have been published, no research to date has investigated these issues in the context of developing economies. This exploratory study seeks to build an understanding of Twitter usage and continuance motivations in Ukraine, and compares them to those of the US users. The findings of the study suggest that participants in both countries use Twitter for professional development, entertainment, status maintenance, and social interaction and exchange. The Ukrainian participants, however, emphasize Twitter use for identity negotiation and self-expression, as well as for news updates and sharing. The study also examines how different motivations of joining Twitter affect current Twitter usage and continuance intentions, and provides implications for public policy and advertising.     

eWOM across channels: comparing the impact of self-enhancement,positivity bias and vengeance on Facebook and Twitter

Abstract

When sharing personal details, versus talking about others, consumers tend to accentuate the positive experiences they have with brands in order to self-enhance amongst friends. Consumers also take vengeance on brands in public venues. Turning to social network sites (SNSs), it is unclear which is dominant. Here historical Facebook and Twitter eWOM (n = 47,907) is analyzed for a static group of 783 active US consumers. Self-enhancement is found on both SNSs. The majority of eWOM is positive Vengeance was rare, occurring only in 10.3% of all eWOM. eWOM appears to mirror a consumer's non-eWOM sentiment valence across SNSs. In this cross-platform comparison we suggest that SNS affordances alter eWOM creation Facebook has privacy expectations and limits direct brand interactions. Twitter is a public platform with less privacy expectations and a larger customer service component. Here eWOM is more prevalent on Twitter but contrary to our expectations is more positive.     

Stereotype Processing's Effect on the Impact of the Myth/Fact Message Format and the Role of Personal Relevance

This research examines the effectiveness of the myth/fact message format (MFMF)—a message format that first presents a common misperception as a myth then counters it with a correcting fact—within the health‐care and social marketing context of mental illness (MI). Stereotype processing theory predicts that the use of a negative aspect of the stereotype in a MFMF may further instantiate the negative belief, thereby reducing the effectiveness of the message. Conversely, using a message format that conveys only facts (i.e., new positive beliefs) without inclusion of the myth will lead to more positive attitudes. However, this effect will only be seen among people with personal relevance with MI as only they are sufficiently motivated to suppress the automatically activated stereotype and elaborate on the message. A study demonstrates that advertising utilizing a fact‐only format leads to more positive attitudes than the MFMF among people with personal relevance while people without personal relevance to MI demonstrate no differences in attitude between myth/fact and fact‐only message formats. Personal relevance had the opposite moderating effect on perceived learning. These findings suggest that the MFMF's impact on attitudes, the typical focal point of social marketing campaigns targeting misconceptions about stereotyped groups, may be ineffective. Thus, using a fact‐only format that conveys new positive beliefs in a social marketing message is recommended within the specific context of MI and may be warranted in other health‐care and social issues.     

Starbucks’ marketing communications strategy on Twitter

Many scholars have found that social media are extraordinarily useful platforms for marketers to engage their stakeholders. Much research has developed frameworks for and proposed empirical guidelines on how brands should communicate and interact with audiences on social media platforms. However, a comprehensive study that is based on a successful and reputable brand is still lacking. The objective of this research was to categorise the types of content used by one of the most admired brands in the world, Starbucks, and evaluate its effectiveness on Twitter. In total, the author studied 565 tweets and retweets and 1392 replies. This research found that Starbucks’ marketing communications strategy includes three types of original and retweeted content: information-sharing, emotion-evoking, and action-inducing content. The author also found six types of replies: information, Apology and suppot, positive comment, question and enquiry, chit-chat, and gratitude. To be successful on the social media platforms, this research suggests that brands should use various types of content, focus on visual content, and prepare for and manage customer interactions appropriately. The findings present useful and practical information for brands that seek to engage audiences using an inexpensive but compelling marketing communications strategy on social media.     

The Influence of B to B Social Media Message Features on Brand Engagement: A Fluency Perspective

Purpose: Social media is increasingly drawing the attention and interest of business-to-business (B to B) organizations. Yet, B to B organizations remain cautious in their social media pursuits, in part based on a stated lack of understanding for best practices. The purpose of the current work is to take initial steps to address this challenge by identifying specific social media message features that influence online users’ engagement with B to B organizations.

Methodology/Approach: This work examines the Twitter feeds of the top 50 social B to B brands (as reported by Brandwatch in 2015) to examine the effects of message features (hashtags, text difficulty, embedded media, and message timing) on user engagement, captured in terms of Twitter likes and retweets.

Findings: We argue that message features that enhance fluency (e.g., images) should enhance engagement. In contrast, those that disrupt fluency (e.g., hasthags) should result in lower levels of engagement. Consistent with these predictions, we find that hashtags and text difficulty correlate to lower levels of engagement whereas embedded media in the form of images and video correlate to higher levels of engagement. Also consistent with the proposed fluency framework, we find that tweets from B to B organizations generate greater engagement on evenings and weekends.

Research Implications: This research applies a fluency lens to identify specific message features that influence online engagement. In doing so, it highlights fluency as a powerful construct for understanding the drivers of B to B social media brand engagement. More generally, this work suggests fluency as a valuable conceptual lens for developing effective B to B social media strategies. This research also speaks to the complexity of B to B social media strategies – organizations must go beyond content and platform decisions, to also consider the specific features of the message.

Practical Implications: Social media is becoming more and more important to B to B organizations and is as yet an underutilized engagement tool. The current work offers initial strategies regarding message features that business practitioners can incorporate into their content development strategies to strengthen engagement. Specifically, efforts should be made to attain high levels of fluency in B to B social media content development.

Originality/Value/Contribution of the Paper: The current work offers initial insights as to the importance of understanding not only how social media topics/content influence engagement, but also the influence of message features (e.g., hashtags, embedded media). In doing so, it highlights fluency as a novel conceptual lens for developing more effective B to B social media strategies. Finally, it draws on actual tweets from leading B to B brands to examine the proposed influence of message features on engagement.     

The early bird catches the news: Nine things you should know about micro-blogging

Micro-blogs (e.g., Twitter, Jaiku, Plurk, Tumblr) are starting to become an established category within the general group of social media. Yet, while they rapidly gain interest among consumers and companies alike, there is no evidence to explain why anybody should be interested in an application that is limited to the exchange of short, 140-character text messages. To this end, our article intends to provide some insight. First, we demonstrate that the success of micro-blogs is due to the specific set of characteristics they possess: the creation of ambient awareness; a unique form of push-push-pull communication; and the ability to serve as a platform for virtual exhibitionism and voyeurism. We then discuss how applications such as Twitter can generate value for companies along all three stages of the marketing process: pre-purchase (i.e., marketing research); purchase (i.e., marketing communications); and post-purchase (i.e., customer services). Finally, we present a set of rules—The Three Rs of Micro-Blogging: Relevance; Respect; Return—which companies should consider when relying on this type of application.     

The quantitative strategic planning matrix: a new marketing tool

Originally introduced in a 1986 Long Range Planning article, the Quantitative Strategic Planning Matrix (QSPM) has become widely used in strategic management but is only rarely used in marketing strategy. This paper reveals how and why the QSPM should be commonly used in marketing strategy to assess the relativeness attractiveness of alternative strategies being considered. An example QSPM is developed in this paper for a firm considering two alternative marketing strategies: (1) Increase Advertising Expenditures by 50% vs. (2) Lower Menu Prices 10%. The QSPM process is exemplified and limitations are discussed herein. The primary contribution of this paper was to reveal how and why the QSPM can be useful, both theoretically and practically, in a devising an effective marketing strategy.