SYSTEMATIC REVIEW article
Sec. Addictive Disorders
Volume 12 - 2021 | https://doi.org/10.3389/fpsyt.2021.583817
Gambling Marketing Strategies and the Internet: What Do We Know? A Systematic Review
- 1EA 7479 SPURBO, University Bretagne Occidentale, Brest, France
- 2UMR SPHERE 1246, University Nantes/Tours, Nantes, France
- 3HUGOPSY Network, Rennes, France
- 4Addictive Disorders Center, Brest, France
- 5EHESP, School of Public Health, CREM UMR CNRS 6211, Rennes, France
Background: The gambling industry has developed many types of gambling on Internet in recent years. Gambling is a social activity for a majority of the world population, but problem gambling (PG) can emerge. The trajectories of gamblers from initiation to PG development are influenced by many variables, including individual and environmental variables and also variables linked to the gambling characteristics. Marketing has been reported to influence gamblers' perceptions and behaviors, but this is not as clear for digital marketing. Digital gambling marketing is broad, ranging from the marketing of gambling websites to communication and advertising on the social media and networks. The objective of this article was to fill this gap by conducting a systematic literature review in order to answer the following questions: (1) What are the strategies of digital gambling marketing? (2) What is the effect of this exposure on gambling representations, intentions and practices?
Method: A systematic review was conducted following the PRISMA guidelines on Pubmed database (Medline) from February 2020 to March 2020 and Scopus. Existing papers published between January 2000 and February 2020 were identified by searching with this algorithm: (((“internet”[MeSH Major Topic] OR (communications[All Fields] AND media[All Fields])) OR (“social media”[MeSH Terms] OR (“social”[All Fields] AND “media”[All Fields]) OR “social media”[All Fields])) AND “gambling”[MeSH Major Topic]) AND (“marketing”[MeSH Terms] OR “marketing”[All Fields]), in title, keywords or abstract.
Results: Ninety-one candidate studies were selected, 21 studies were selected for the systematic review. Sport appeared as a specific target of online gambling marketing. A growing range of platforms for online sport betting and the development of strategies on the social media were identified. Regarding content, a systematic association between sport and gambling was highlighted. Vulnerable populations, such as young people, appeared to be at high risk of exposure to gambling marketing.
Conclusion: Little data is available on the strategies of digital gambling marketing or on exposure to it. Sport could be the first target for future research to understand how the industry is targeting specific populations, and what influence these strategies could have on PG development.
Internet has become a part of our lives and is both a medium for providing a wealth of information and an important tool for connecting with others around the globe (1). In recent years, the gambling industry has developed many types of gambling on different media, especially on the Internet. This expansion of legalized gambling has been identified as a public health concern (2–4). Gambling is a widespread social activity worldwide and nearly all national surveys conclude that there are more gamblers than non-gamblers (5). For example, 74% of the French population reported having gambled in their lifetime (6). In a majority of cases, gambling remains social gambling, but problem gambling (PG) can emerge (5). PG is defined as a persistent, maladaptive pattern of gambling resulting in clinically significant impairment or distress (7). Around the world, lifetime prevalence of PG ranges from 0.7 to 6.5% (5), and damage is severe: professional and financial (8), psychological, with an increased suicide risk (9), familial (5) etc. The trajectories of gamblers from initiation to PG development are influenced by many variables, including individual and environmental variables and also variables linked to the gambling characteristics (10, 11). Participation in gambling is increasing with the growing availability of gambling, advertising, marketing, and gambling deregulation (12, 13).
The gambling industry is one of the pioneers in internet technology development. It has designed gambling experiences to stimulate the human senses, by creatively integrating audio-visual technology, such as touch screens, surround sound, augmented reality, haptic actuators etc. (14). This strategy, based on experiential marketing, is very effective in influencing consumers' behavior, satisfaction, and loyalty (15). Through the creative use of touch, hearing and sight, the digital world has innovated in many ways of controlling and capturing human emotions (16). These evolutions in gambling types and the media used with the development of digital tools has enabled the gambling industry to expand its customer base (17). The legal status of online sports betting has been progressively changed and legalized in Europe since the mid-2000s, leading to a normalization of the practice. Consequently, the number of betting platforms legally available to consumers has increased. This has led to competition between companies to position themselves and attract customers to a relatively new market (18). Strategies developed by gambling operators on the internet can be included in the larger concept of the strategies of gambling marketing, defined as a management process from concept to customer.
Several studies have highlighted the links between the availability and proximity of gambling opportunities and excessive gambling practices (19–23). The causal mechanisms of the influence of advertising on gambling behavior are unknown despite a growing body of scientific evidence (24). Binde in 2014 in a critical review concluded that despite the lack of evidence, it was likely that gambling advertising had impact on gambling behaviors (25). Moreover in correlational studies, problem gamblers typically reported greater exposure to gambling advertising (26). Problem gamblers are a specific target for the gambling industry, in 2007, in Canada, 17.1% of online gamblers were considered as problem gamblers, and the money they spent amounted to 41% of the money spent online in the country (27). Gambling advertisements have been reported to have a greater impact on problem gamblers (25, 28, 29). Russel et al. found that in a large population of gamblers, 20% of those who reported a negative influence of repeated gambling advertisements were at risk or problem gamblers (30).
The recent prolific development in online gambling has been accompanied by growing concern for its potential harm (31). Regular and problem gamblers could be particularly concerned by the impact of digital gambling marketing. Online gamblers are defined as more at risk for problem gambling. Some studies have reported that online poker gamblers were two or three times more at risk of being problem gamblers than those gambling offline (27). In another study, Internet gamblers were significantly more likely to increase their gambling in response to online gambling promotions than non-interactive gamblers (26).
However, if advertising and traditional marketing have been reported to influence gamblers perceptions and behaviors, things are not as clear for digital marketing. Digital gambling marketing is broad, ranging from the marketing of online gambling websites to communication and advertising on the social media and networks. Social networks are considered to amount to a set of applications with various operating modes and uses: general networking (Facebook, MySpace), micro-blogging (Twitter), photo sharing, or exchange of ephemeral content (Instagram, Snapchat, etc.). These companies broadcast messages directly by insertion of classic advertisements into Internet users' news feeds, into stories, in the animation of official pages via community managers (Facebook, Instagram), and in the creation of cultural, sporting or festive events associated with the brand.
Analyzing the impact of the digital gambling marketing is important because 51% of people worldwide are connected to Internet (2019), especially young people: more than 90% of the 12 to 24-year-olds connect to the Internet every day, and respectively 80 and 94% of 12–17 and 18 to 24-year-olds used the social networks in 2019 (32). It can be supposed that the digital development of gambling and gambling marketing strategies on the Internet could influence gambling behaviors Very few studies in the literature have focused on this topic. The objective of this article was to fill this gap by conducting a systematic literature review in order to answer the following questions: (1) What strategies can be identified in digital gambling marketing? (2) What is the effect of this exposure on gambling representations, intentions and practices?
Materials and Methods
Protocol, Registration, and Eligibility Criteria
The PRISMA statement for reporting systematic reviews was adopted. Inclusion criteria were coded by both authors (MGL, KGM), reaching an agreement regarding the coding process and were as follows: (a) inclusion of studies concerning gambling marketing strategies on the Internet, (b) inclusion of articles containing quantitative and/or qualitative data, (c) inclusion of articles published in a peer-reviewed journal and following IMRAD, (d) inclusion of articles available as a full text in English or French.
Information Sources and Search Strategy
From February 2020 to March 2020 existing papers published between January 2000 and February 2020 were identified by searching the academic databases Pubmed (medline), and Scopus. The two authors drew up a list of agreed English keywords for the systematic search: (((“internet”[MeSH Major Topic] OR (communications[All Fields] AND media[All Fields])) OR (“social media”[MeSH Terms] OR (“social”[All Fields] AND “media”[All Fields]) OR “social media”[All Fields])) AND “gambling”[MeSH Major Topic]) AND (“marketing”[MeSH Terms] OR “marketing”[All Fields]), in title, keywords or abstract.
The inclusion and exclusion criteria are presented in Table 1.
Study Selection and Data Collection Process
The reviewers were the first two authors (MGL-KGM); they were researchers with previous experience in conducting literature reviews, and one of them had specific expertise in gambling disorders (MGL). The reviewers independently reviewed titles and abstracts, to ensure the reliability of the screening process. They then met to exchange their individual decisions and discussed their rationale for these decisions. Consensus was reached when the two reviewers agreed on article inclusion or exclusion. Full text articles for each included article were then collected, and screened by the two reviewers against the inclusion/exclusion criteria. The reviewers discussed any articles where a reviewer was unsure. Information extracted from the articles included: author names, year, and study location; journal, objective of the study, key results, key points of the discussion. Quality ratings were undertaken for all included peer-reviewed articles. We determined that all peer-reviewed research following IMRAD format was generally well-conducted and met the rating criteria. No studies were excluded for poor quality.
Ninety-one candidate studies were selected. After elimination of the duplicates (n = 7), and after reading the title and summary, 50 papers were retained after elimination of 34 studies(not concerning gambling marketing: 29, not concerning digital marketing: 4, not following IMRAD: 1).
After perusal of the full texts, 21 studies were selected for the systematic review, after elimination of 29 studies (not concerning gambling marketing: 13, not concerning digital marketing: 11, not following IMRAD: 5).
The selection and inclusion processes are presented in a flow chart (Figure 1).
All 21 studies that met the inclusion criteria were analyzed. Of the 21 studies included, two were conducted in Europe (Spain, UK and UK) and one in Canada, one in USA/Australia and 17 in Australia or New Zealand. Quantitative methods were used in seven studies, mixed methods in five studies, qualitative methods in four studies, and content analyses in four studies. A majority focused on sport betting marketing strategies online (12 studies), only one study focused on poker, one on online bingo, and six studies concerned all types of digital gambling marketing strategies. One study concerned the marketing of social casino gaming. We included this study, because although casino games are free games, they are similar to gambling games. Users play with free virtual credits and cannot win monetary prizes, so that to some extent social casino games and gambling industry products converge (33).
Three main themes were identified in the selected articles. The first is that sport is a huge target for digital gambling marketing. A multiplicity of online platforms for gambling marketing diffusion have been identified and a wide range of digital gambling marketing strategies on the social media concerning sport betting have been observed. In addition, another recurrent subtheme was the systematic association of sport and gambling, fostering a normalization of betting and of gambling. The second theme was that digital gambling marketing strategies are gendered. A majority targeted young men, more particularly for betting and poker, and bingo websites were defined as targeting women. The third theme identified was that digital gambling marketing strategies focused on vulnerable populations, including young people and problem gamblers or at risk gamblers. The main results of the selected studies are presented in Tables 2A–D (2a: Articles concerning gambling marketing and sports; 2b: Articles concerning specific profiles (according to gambling characteristics: type of game, number of accounts); 2c: Articles concerning the use of social media or websites tools; 2d: Articles concerning harm reduction or responsible gambling and online gambling marketing).
Table 2B. Articles concerning specific profiles (according gambling characteristics: type of game, numbers of accounts).
This review included only 21 articles on the topic of the digital marketing of gambling. They were for a large majority conducted in Australia or New Zealand. This lack of data, more particularly for North America or Europe, is surprising, given the development of online gambling and online internet gambling marketing in the last 10 years. As an example, the total market value of the global mobile phone gambling industry increased 10-fold between 2006 and 2011 ($23 billion compared to $2 billion) (54) These developments, and the structural characteristics of Internet, combining easy and cost-effective access, has prompted the gambling industry to widely invest in emerging technological tools. The high level of exposure to positive gambling cues in society has led to the perception of gambling as an acceptable, credible and harmless leisure activity (55).
Sport: A Huge Target for Digital Gambling Marketing
In the literature on Internet marketing of gambling, the main emerging area concerned sports betting. The majority of selected articles (12) concerned gambling marketing in relation to sports.
A Multiplicity of Platforms and the Development of Strategies on the Social Media
The multiplicity of online platforms has enabled both the development and the repetition of positive messages promoting gambling practices and brand-names.
Gambling advertising has entered everyday life, and people can be exposed without having sought tony information on gambling. Gambling advertising and promotions can be found outside the traditional commercial-break advertising (43). Deans et al. showed that gambling marketing products had entered everyday community and media spaces. In their sample of young men, 50% reported having seen online betting marketing (pop-up banners) and 36% had seen it on the social media (36). In a qualitative study, Pitt et al. showed that parents and adolescents were conscious of the increasing development of marketing, more particularly for sports betting. Parents thought their adolescents were at risk because of the link between gambling marketing and accessibility via mobile technologies and websites (43). Browne et al. using an Ecological Momentary Assessment found that more than 8% of bettors remembered exposure to gambling advertisements on unrelated apps or websites. More than 11% reported social media posts concerning gambling and more than 10% reported direct messages. This last strategy is a specific concern: direct messaging via e-mails, texts, and phone calls from gambling operators is a problem. The majority of these direct messages promote specific gambling inducements, and bettors report that this type of marketing is intense and particularly influential on their betting, encouraging them to bet and to spend more on betting (44). Browne et al. also found that this type of advertising was associated with greater intention to bet, more betting, and betting more than intended for regular horse-race bettors (34).
The digital media have helped to broaden the scope of advertising messages, especially in sports betting. Gainsbury et al. showed that in a large sample of online gamblers, online gambling advertising influenced gamblers in their initial decision to choose an operator. They also reported that those more involved, with multiple online accounts, were more active bettors and were influenced by promotions (47). Browne et al. showed that exposure to gambling marketing increased the likelihood of betting, and increased spending on bets. They concluded in their study that gambling marketing negatively affected substantial numbers of bettors already at risk for, or currently experiencing, gambling problems (34). The promotion of gambling inducements increased impulsive in-play betting among problem gamblers and involved gamblers at higher risk of problem gambling. They were however less aware of online gambling promotions, compared to less involved gamblers (38).
Regarding the social media, the prevalence of users of the social media in the world is high, particularly in higher-income countries such as North America, where 56% of the population are active social network users, or in Western Europe, where 43% are concerned (50). The social media enable gambling operators to promote products and brand-names with fewer constraints than in traditional forms of media. Many social marketing campaigns aim to generate the equivalent of “word-of-mouth” (56). Social media marketing strategies have the potential to create a particular personal relationship between users and brand-names (57). Research on brand engagement on the social media has found that relationships between consumers and the brand-name, the product and companies all positively influenced trust and brand loyalty (58). An Australian study has shown that reputation is the most important factor in choosing an online gambling site (47). Even a limited use of social media by gambling operators could have a large impact in terms of promoting gambling products and causing harm. Through the social media, gambling marketing reinforces social norms and over-represents attitudes among fans, followers and their peers (50). The social media are used to portray a “brand personality,” and to foster enthusiasm in their communities (49, 59). Interviews of gambling operators have suggested that the social media are perceived as useful tools to increase website traffic, to raise interest and awareness and ultimately to increase gambling sales (60). Gambling operators are established on the social networks, Facebook and Twitter, collecting an average of 62,084 likes and 30,594 followers across the UK's top 10 betting sites (61). A survey of Australian gamblers found 40% had seen gambling marketing on Facebook (28).
A Systematic Association of Sport and Gambling Fostering a Normalization
The extent of gambling advertising and penetration through the digital media and Internet is a contributory factor in strengthening the mental association between sport and gambling (62, 63). The content of gambling advertising reinforces links between gamblers and sport: betting is rooted deep in the relationship between sport and fans (39). For example, the love metaphor is used in gambling advertising online, calling on both romantic love and friendship, and appealing to bettor loyalty. Gambling is depicted as a truly positive activity. On the social media, some posts portray gambling as glamorous, exciting and fun, others emphasize gambling winnings, and community benefits are also highlighted (35, 50). The message conveyed through these positive contents is that gambling provides easy money, fun, enjoyment and an entertaining, easy, effort-free lifestyle (64). The sports betting industry uses numerous symbolic strategies to promote the social acceptance of sports betting, similar those to used in the promotion of other unhealthy products, such as alcohol or tobacco (35).
Gambling marketing influences gambling perceptions and interpretations of gambling and minimizes the risks. One of the main and longer-lasting effects of gambling advertising is the normalization of gambling (65, 66). Normalization is a long-term process, including sub-processes of cultural and legal legitimization. Gambling marketing cues introduced into the community and daily life (36) normalize potentially risky products by portraying their use in different everyday situations. Gambling marketing attempts to elicit emotive responses, or to trigger memories (50). Some author have referred to “the sportification of gambling and the gamblification of sport” (67). This phenomenon is identified in different articles: Gainsbury et al. found that the aligning of gambling with sport was a frequent content, and Lopez-Gonzalez showed that engagement and loyalty is also used to enhance involvement in gambling (39, 50). The risk underlined by authors regarding this association between betting and sport is that sport is represented as systematically associated with gambling, while gambling is represented as a sport (35, 36, 39). Online sport advertising uses the metaphor of betting as a sport, and the gambling companies are thus associated with the healthy attributes of sport (39). Moreover, if gambling is a sport, skills and training could help gamblers to improve their results, and these messages could reinforce cognitive distortions among gamblers, which is one well-known risk factor for problem gambling (68, 69).
Sport is a very attractive venue for companies to reach people and promote products and brand-names (40). Sponsorship of peak sporting events by unhealthy food, beverage, alcohol, and gambling product companies is prevalent in Australia according to the results of Mc Niven et al. who reported that 14.6% of unhealthy sponsorships concerned gambling (40). Sport sponsorship is a marketing tool, more acceptable by the public because it is indirect and it builds public goodwill toward the company (70). It associates sponsored products with a healthy positive image, which is particularly important for products that can involve risks for health (70). A study conducted in 2006 by Maher showed that gambling was the first sponsorship product in the most popular sports for 5 to 17-year-olds in New Zealand (41). In 2015 Macniven showed that only 26.9% of national sport organization websites had solely healthy sponsorships, and that 14.6% of sponsorships of websites concerned gambling companies.
These strategies concerning sport and online gambling have been implicated in the general development of gambling. One study showed that gambling advertising was associated with the development of sports betting among people who did not previously gamble (71). In a recent study, Newall et al. in the UK analyzed “Live-odds” gambling adverts, during World Cup matches on TV. They showed that advertisements were skewed toward complex events, more difficult to predict, and that the content of advertisements made bets appear more urgent than necessary (72). With this development and potentially greater diversity in gambler populations, there is likely to be an extension to new population groups experiencing problem gambling, and greater concern for vulnerable populations.
A Gendered Marketing Strategy
Young men are defined as targets for betting and poker websites. Australian gambling operators interviewed by Gainsbury et al. reported that, on the social media, they targeted the population of young adult men (49). In an exploratory study of gambling operator contents, the same authors showed that gambling was naturally aligned with sport, to convey messages that gambling is a way to demonstrate team loyalty and masculinity (50). Deans et al. showed that young gamblers believed that young men were especially vulnerable to gambling harm, and that marketing amplified the risks associated with sports betting and played an important role in shaping the gambling identities of young men (36). In another study analyzing the content of sports betting advertisements, Deans et al. (35) showed that there was clear gender stereotyping in sports betting advertising. Men were mostly represented as central actors, women were sexually objectified, with advertisements portraying male dominance or power over women. Two key stereotypes of men in Australian gambling advertisements were noted: the first is the average “Australian male,” for whom sports gambling could represent an escape from the ordinary to become more attractive to women, to gain power and authority or to be able to afford a glamorous lifestyle. The second stereotype concerns bookmakers, portrayed as powerful players (35).
Regarding the online sports betting marketing, metaphors are used, and among four metaphors identified by Lopez-Gonzalez et al. the metaphor of “gambling as a market” and “gambling as natural” could also be compared to a gendered approach. These metaphors represent betting as an inevitable, innate behavior, akin to instincts or sexual relationships. Betting is defined as an inevitable process, escaping individual volition, as a survival process or as a struggle to survive (39). These gendered digital marketing strategies are particularly concerning, as young adult males are the socio-demographic group the most at risk for gambling problems (11). Hing et al. showed that impulse betting both before and after match commencement was more frequent among young men, who were clearly the target for sports betting advertising, including promotions for incentivized bets during play (38). Concerning poker websites, marketing strategies were also shown to be focused on men: Mc Mullan and Kervin analyzed online poker websites and found that adult-oriented imagery, such as young women in bikinis or adults depicted in sophisticated clothing and settings, were frequently used (51).
In contrast, one study conducted in the UK on bingo websites, showed that marketing strategies on these websites were congruent with the expectations of women who play bingo. The authors reported that bingo websites seemed to be designed largely to appeal to women, through the use of the colors pink and purple, images of hearts, cocktails, fashion, and glitter balls, offers for beauty products, and references to “mums.” The bingo sites had the effect of positioning gambling as a benign, child-like, homely, women-friendly, social activity (48).
Online Gambling Marketing and Vulnerable Targets
In a public health approach to prevention of gambling and in order to determine the potential impact of gambling marketing on vulnerable populations, a comparison can be made with alcohol. Babor et al. established that young people and heavy drinkers are vulnerable populations for exposure to alcohol marketing strategies (73). The same vulnerabilities can be presumed concerning gambling behaviors and gambling marketing methods. An early age of initiation is a high risk factor for the development of problem gambling later in life, and it is associated with greater severity of problem gambling (74–76). Despite the fact that regulations prohibit gambling by minors in many countries, for instance France or Spain, evidence exists that these populations gamble (11, 77). Gambling advertisements and specific promotions also have a greater impact in encouraging gambling amongst problem gamblers than among non-problematic gamblers (78).
The familiarity of minors with the Internet increases their likelihood of playing. For instance, 72% of adolescents use the Internet more than once a day in Australia (79). Pitt et al. showed that 8 to 16-year-olds were widely exposed to sports gambling marketing, for 46% through websites (42). In addition, online gambling is private and feasible anywhere, and online gambling websites offer prizes and a wide range of temporary promotions. Online gamblers report a positive playing experience and greater physical comfort than offline gamblers (80). In another study adolescents felt “encouraged to bet,” more particularly on mobile phone (43).
Major social media and online gaming companies have started making inroads into the gambling business. This “digital convergence” has created opportunities for the gambling industry to expand its customer base, particularly among young people (81). The evolution of technical aspects of betting, such as opening accounts and betting via mobile phones, are also perfectly modeled for young people (82). The proliferation of simulated forms of gambling not involving money on the social media is a gateway to encourage adolescents to progress to online gambling. Social gambling can also lead to a diversification of gambling offers for young people, with an easier, more attractive access to casinos. Abarbanel et al., using a content analysis of a sample of 115 social casino gaming advertisements, clearly showed that the images and messages were designed to target young populations, by including references to popular culture, cartoons, and sport, and deploying a glamorization and encouragement for gambling, including free play (46).
Despite this observation that young people are particularly prominent consumers on digital media platforms, very few studies have focused on this topic (45, 83). There is still very limited information about the promotion of gambling on these media and on how it influences the exposure of young people to gambling advertising (45, 83). Deans et al. interviewed a sample of young male gamblers, and the majority believed that young men were the key target for gambling companies (36).
However, digital communications are liable to enhance exposure to favorable presentations of online gambling. An analysis of poker websites showed that 28% of the images portrayed concerned people aged 25 or under, in attractive environments (51). Gambling marketing clearly influences gambling intentions. Derevensky et al. noted that 40% of the young people in their study stated that they had wanted to try gambling after seeing gambling advertisements (77). Thomas et al. found that 75% of a sample of 8 to 16-year-olds could recall the brand name of at least one sports betting company (84).
Many European countries have identified a large increase in gambling participation among underage young people. For example in the United Kingdom, 38% of the 16 to 24-year-olds gambled in 2016 compared to 5% the previous year (85). In other reports, ~60–80% of young people engaged in formal or informal gambling before the legal age (11, 86, 87). This population is at higher risk of losing control compared to older adults, and the prevalence of problem gambling is higher. In Finland a survey identified 4.9% of 12 to 15-year-olds as risk-prone gamblers (88); in Sweden one study found that the incidence of PG among 16 to 24-year-olds was more than double the proportion for adults aged 25–44 years (89). Links between the development of marketing strategies, more particularly online, and these gambling behaviors among young people need to be explored further. Gainsbury et al. for their part failed to show that content on social media directly appealed to young people. However, given the few restrictions on social media use, the inherent difficulties in monitoring and the widespread use of social media among young people, continuing research is needed to monitor the impact of gambling marketing via the social media on young people (50).
Hing et al. in an online survey on a sample of 639 online sport bettors in Australia, showed that attitudes to particular aspects of sports betting advertising vary with PG severity. Online sports bettors with more severe PG symptoms had a more positive response to gambling sponsors: increased awareness of, attention to, and recall of the sponsor's name and their promotions (interest), a more favorable disposition toward the sponsor (favorability), and a greater likelihood of using the sponsor's products (use) (37). The frequency of gambling on the Internet and participation in online discussions on gaming tables at casinos were predictors of gambling severity in a study by Howe et al. (52). Moderate-risk gamblers were significantly more likely to report seeing gambling promotions on the social media, and nearly 30% of moderate-risk gamblers reported that social media promotions had increased their problems (29). Gambling advertising compromises gambling prevention campaigns aimed at reducing gambling and encouraging help-seeking. The positive messages on gambling conveyed through the social media are not counterbalanced by warning messages, as observed by Gainsbury et al.: only 11.2% of the operators had information on responsible gambling or problem gambling on the social media (50). Moderate and risk-prone gamblers are more attentive to responsible gambling messages (50). Thus, given the impact of social media marketing on vulnerable gamblers, the inclusion of responsible gambling messages on these platforms seems effective (50). In addition, social media marketing influences both infrequent and frequent gamblers, who may be unable to resist urges to gamble elicited by external cues found in advertising (90). Gainsbury et al., in a study including 2,799 gamblers, found that problem gamblers were significantly more likely than non-problem gamblers to be influenced by promotions and incentives, such as credits or bonuses provided by online gambling sites (78). However, many difficulties exist in the development of responsible gambling messages. Aspects that are critical to the effectiveness of these messages concern the type of content used, the way it is framed, whether it engages consumers in self-referential processing, the level of specificity and applicability for use in real-world settings, and the social norms deployed. Messages should be personalized to target specific population subgroups. Adequate understanding of the characteristics of these subgroups is important and could enhance the presentation of health information (91).
Implications: A Need for Regulations?
Over the last 2 decades there has been a significant shift toward more liberal gambling regulatory frameworks in many countries around the world. The availability and accessibility of gambling has risen in community settings. The Internet has evolved rapidly, leaving policy makers and regulators far behind the innovative commercial products and offers (92). More recently, the liberalization of gambling has led to a legalization of more pervasive forms of gambling, alongside the development of new technologies and higher-intensity products leading to a larger penetration of gambling products in the community (53).
Governments have been largely unwilling to enact a comprehensive public health approach to gambling as applied in other areas such as tobacco. Governmental regulation efforts remain focused on individual responsibility frameworks to minimize the harm associated with “problem gambling,” which place few constraints on commercial activities and enable continued increases in revenue for both industry and government. There is growing ethical tension for governments between the revenue obtained from gambling products, and the need to be responsible and design rules that are acceptable for the community and public health (93).
It is important that regulations should keep pace with the advances in technology to ensure that social media platforms fall under the same regulatory frameworks as traditional advertising channels (45). Indeed, existing regulations do not apply to gambling advertising on social media platforms. This includes promoted content on YouTube, Instagram or Snapchat, which are the three most widely used social media by young people (45). To protect consumers better, any restrictions should cover digital as well as traditional advertising, to prevent the migration of advertising to less restricted, online, social media, and mobile platforms, as has occurred with the introduction of earlier advertising restrictions (34, 49). As online gambling companies should be responsible for the harm related to their activities, Yani-De-Soriano suggested that corporate social responsibility policies should be fully implemented, monitored and clearly reported; all forms of advertising should be reduced substantially, and unfair or misleading promotional techniques should be banned (94). Gainsbury et al. found that gambling operators reported being cautious toward the risk of problem gambling, but that social media operators thought they were not suited to discussing responsible gambling (49) and most operators do not incorporate responsible gambling into the content posted (50). In many countries and particularly in Australia, as identified in this literature review, regulations have predominantly focused on traditional media such as television, and there are no regulations to restrict gambling advertising on social media platforms. In the UK, there have been some attempts to enforce restrictions on gambling advertisements online, with the banishment from websites of gambling advertisements directed toward young people (95).
It has been shown in Australia that there were discrepancies between government regulations and public expectations. Government approaches were not in line with community attitudes and public expectations for mechanisms for protecting communities from potentially harmful products (53), even for young people (45). Abarbanel et al. in a sample of social casino gaming advertisements targeting young gamblers, showed that 90% did not refer to responsible gambling or the risk of problem gambling (46). Thomas et al. reported that young people thought that sport regulations should protect them better from exposure to gambling advertisements. Young people reported a need to remove gambling advertising from sport (45). Targeted problem gambling prevention could be developed, and Gainsbury et al. hypothesized that moderate-risk gamblers were an appropriate target audience for responsible gambling messages and were more receptive to the use of social media platforms (29). Community support for advertising restrictions is much stronger than for other harmful products (such as alcohol or tobacco) (53). In another study, more than 90% of the participants agreed or strongly agreed with a proposed ban on gambling advertising in Australia (53).
However, caution is necessary regarding regulations. First, statutory requirements for gambling companies could in fact enhance gambling sponsorship, as in Australia, where 5% of the profits of West Lottery are due to the Western Department of Sport and Recreation. This probably influences the presence of Lottery West on Western Australian websites, ensuring brand-name presence (40). Thus, in the case of regulations limiting “unhealthy” sponsorships, governments would also need to adopt alternative funding mechanisms for sponsoring popular sports (41).
Petticrew et al. showed that the gambling industry, like the tobacco, alcohol, or food industries, frequently uses the concept of complexity, in response to policy announcements and to new scientific evidence. “Complexity” is apparently used to distract the audience from the industry's contribution to the problem and to promote inaction or ineffective solutions (96). When there is significant support for the regulation of products and negative attitudes in the community toward industries such as gambling or alcohol and tobacco, those industries could develop new strategies or countermeasures. For instance they might frame themselves as “good corporate citizens” to avoid or minimize the impact of restrictions or regulations (53). Some governments and government agencies periodically attempt to counter pro-gambling messages, for instance the Victorian Responsible Gambling Foundation which promoted a social media campaign named “Love the game, not the odds.” However, it is hard for these transient social media campaigns to counteract the overwhelming pro-gambling messages (97). Media campaigns that emphasize the damage associated with gambling reduce gambling intentions, but pro-gambling media campaigns are much more effective in enhancing intentions to gamble (98, 99).
It will be important for public health advocates and coalitions to consider and recognize these strategies and to develop adapted online gambling regulations (100).
Future Research Development
Gaps in the literature were identified here and could fuel future research. Beyond the evaluation of influence and content analysis, there is no data on the exposure to digital gambling marketing stimuli, in terms of modalities, frequency, time, or potential influence. Secondly in the case of digital alcohol marketing, participatory forms generated by users but driven by the industry's marketing have been described (101). These strategies mobilize intermediaries (influencers) who disseminate messages in favor of the industries within the framework of remunerated partnerships. In addition, industries also encourage Internet users themselves to interact with the official pages of their brands (follow, like, comment, identify a friend, share, re-tweet, etc.) via the humorous content of quizzes and riddles, or contests. There is little data on the influence of these strategies in the context of gambling. There is also little research on the impact of gambling advertising online, on inducements or on loyalty programs (102).
Finally, regarding social interactions and the diffusion of gambling behaviors, the social media afford new opportunities for intervention, such as online counseling or pop-ups that remind users of the time and money spent on gambling. Embedded messages in sports contents are more salient than frequency of exposure in predicting gambling problems amongst online sports bettors (37). This implies a need for social marketing and public education to counter promotional messages. They should aim to moderate positive sentiments toward gambling, brands and their promotion, since this is what that leads to excessive gambling. Social marketing is still a largely unexplored avenue for the prevention of gambling, and more particularly among young gamblers (103).
Strengths and Limitations
This study focused on gambling, a growing public health concern, for which a preventive, therapeutic approach is needed. Twenty articles were selected following PRISMA guidelines among 64 identified initially. The analysis of these articles enabled identification of themes and characteristics of digital gambling marketing. One limitation is the focus on only two databases (Pubmed and SCOPUS), which could limit the results. In addition, the results of this review are subject to two biases limiting the generalizability of the data. There is firstly a cultural bias, in that a majority of studies concerned Australia or New Zealand. There is also a selection bias since a majority of the studies selected focused on digital strategies in sports betting. We did not include studies concerning gambling marketing on traditional media (television, radio, press).
The literature is currently sparse regarding digital gambling marketing, despite its huge development in recent years. The main available data concerns the development of digital marketing and sports betting, and their vulnerable targets, especially young people. We have shown in this review that sport is a major target for marketing, and operators have developed gendered marketing strategies to reach and influence gamblers' behaviors. The multiplicity of forms that online gambling marketing and advertising adopt accentuates the need for research on content and exposure on digital platforms. This fast-evolving area of gambling has brought new challenges to communities, problem gambling treatment providers, and researchers in the field of addictive disorders. It also remains an issue for regulators and policy makers.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary materials, further inquiries can be directed to the corresponding author/s.
MG-L and KG-M conducted the literature review and wrote the article. DLev, DLe, and J-YL contributed to the method and the drafting, and reviewed the article. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We want to thank the primary care research support unit, GIRCI grand Ouest, UBO Brest.
3. Williams RJ, Volberg RA, Stevens RMG. The Population Prevalence of Problem Gambling: Methodological Influences, Standardized Rates, Jurisdictional Differences, and Worldwide Trends. Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long term Care (2012). Available online at: http://hdl.handle.net/10133/3068
8. Brandt L, Fischer G. Adult ADHD is associated with gambling severity and psychiatric comorbidity among treatment-seeking problem gamblers. J Atten Disord. (2017) 2017:1087054717690232. doi: 10.1177/1087054717690232
9. Guillou-Landreat M, Guilleux A, Sauvaget A, Brisson L, Leboucher J, Remaud M, et al. Factors associated with suicidal risk among a French cohort of problem gamblers seeking treatment. Psychiatry Res. (2016) 240:11–8. doi: 10.1016/j.psychres.2016.04.008
10. Bruneau M, Grall-Bronnec M, Venisse JL, Romo L, Valleur M, Magalon D, et al. Gambling transitions among adult gamblers: a multi-state model using a Markovian approach applied to the JEU cohort. Addict Behav. (2016) 57:13–20. doi: 10.1016/j.addbeh.2016.01.010
11. Guillou landreat M, Chereau Boudet I, Perrot B, Romo L, Codina I, Magalon D, et al. Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics. BMJ Open. (2020) 18:e030424. doi: 10.1136/bmjopen-2019-030424
12. HIng N, Cherney L, Gainsbury SM, Lubman D, Wood RT, Blaszczynski A. Maintaining and losing control during internet gambling: a qualitative study of gamblers' experiences. New Media Soc. (2014) 17:1075–95. doi: 10.1177/1461444814521140
19. Guillou Landreat M. Facteurs de risque socio environnementaux In: Masson E, editor. Le jeu pathologique: comprendre, prévenir, traiter. Paris: Grall Bronnec (2012). p. 176. doi: 10.1016/B978-2-294-72671-2.00010-6
20. Vander Bilt J, Dodge HH, Pandav R, Shaffer HJ, Ganguli M. Gambling participation and social support among older adults: a longitudinal community study. J Gambl Stud. (2004) 20:373–89. doi: 10.1007/s10899-004-4580-0
26. Hing N, Vitartas P, Lamont M. Promotion of Gambling and Live Betting Odds During Televised Sport: Influences on Gambling Participation and Problem Gambling. Lismore, NSW: Centre for Gambling Education and Research (2014).
29. Gainsbury SM, King DL, Russell AM, Delfabbro P, Derevensky J, Hing N. Exposure to and engagement with gambling marketing in social media: reported impacts on moderate-risk and problem gamblers. Psychol Addict Behav. (2016) 30:270–6. doi: 10.1037/adb0000156
33. Gainsbury S, Russell A, King D, Delfabbro P, HIng N. Migration from social casino games to gambling: motivations and characteristics of gamers who gamble. Comput Hum Behav. (2016) 63:59–67. doi: 10.1016/j.chb.2016.05.021
34. Browne M, Hing N, Russell AMT, Thomas A, Jenkinson R. The impact of exposure to wagering advertisements and inducements on intended and actual betting expenditure: an ecological momentary assessment study. J Behav Addict. (2019) 8:146–56. doi: 10.1556/2006.8.2019.10
35. Deans EG, Thomas SL, Daube M, Derevensky J, Gordon R. Creating symbolic cultures of consumption: an analysis of the content of sports wagering advertisements in Australia. BMC Public Health. (2016) 16:208. doi: 10.1186/s12889-016-2849-8
36. Deans EG, Thomas SL, Derevensky J, Daube M. The influence of marketing on the sports betting attitudes and consumption behaviours of young men: implications for harm reduction and prevention strategies. Harm Reduct J. (2017) 14:5. doi: 10.1186/s12954-017-0131-8
37. Hing N, Russell AMT, Lamont M, Vitartas P. Bet Anywhere, anytime: an analysis of internet sports bettors' responses to gambling promotions during sports broadcasts by problem gambling severity. J Gambl Stud. (2017) 33:1051–65. doi: 10.1007/s10899-017-9671-9
39. Lopez-Gonzalez H, Guerrero-Sole F, Estevez A, Griffiths M. Betting is loving and bettors are predators: a conceptual metaphor approach to online sports betting advertising. J Gambl Stud. (2018) 34:709–26. doi: 10.1007/s10899-017-9727-x
42. Pitt H, Thomas SL, Bestman A, Stoneham M, Daube M. “It's just everywhere!” Children and parents discuss the marketing of sports wagering in Australia. Aust N Z J Public Health. (2016) 40:480–6. doi: 10.1111/1753-6405.12564
43. Pitt H, Thomas SL, Bestman A. Initiation, influence, and impact: adolescents and parents discuss the marketing of gambling products during Australian sporting matches. BMC Public Health. (2016) 16:967. doi: 10.1186/s12889-016-3610-z
44. Russell AMT, Hing N, Browne M, Rawat V. Are direct messages (texts and emails) from wagering operators associated with betting intention and behaviour? An ecological momentary assessment study. J Behav Addict. (2018) 7:1079–90. doi: 10.1556/2006.7.2018.99
45. Thomas SL, Bestman A, Pitt H, Cassidy R, McCarthy S, Nyemcsok C, et al. Young people's awareness of the timing and placement of gambling advertising on traditional and social media platforms: a study of 11-16-year-olds in Australia. Harm Reduct J. (2018) 15:51. doi: 10.1186/s12954-018-0254-6
46. Abarbanel B, Gainsbury S, King D, Hing N, Delfabbro P. Gambling games on social platforms: how do avdertisements for social casino games target young adults?. Policy Intern. (2017) 9:184–209. doi: 10.1002/poi3.135
47. Gainsbury SM, Russell A, Blaszczynski A, Hing N. Greater involvement and diversity of Internet gambling as a risk factor for problem gambling. Eur J Public Health. (2015) 25:723–8. doi: 10.1093/eurpub/ckv006
48. Stead M, Dobbie F, Angus K, Purves RI, Reith G, Macdonald L. The Online Bingo Boom in the UK: a qualitative examination of its appeal. PLoS ONE. (2016) 11:e0154763. doi: 10.1371/journal.pone.0154763
49. Gainsbury S, King D, HIng N, Delfabbro P. Social media marketing and gambling: an interview study of gambling operators in Australia. Int Gambl Stud. (2015) 15:377–93. doi: 10.1080/14459795.2015.1058409
50. Gainsbury SM, Delfabbro P, King DL, Hing N. An exploratory study of gambling operators' use of social media and the latent messages conveyed. J Gambl Stud. (2016) 32:125–41. doi: 10.1007/s10899-015-9525-2
53. Thomas SL, Randle M, Bestman A, Pitt H, Bowe SJ, Cowlishaw S, et al. Public attitudes towards gambling product harm and harm reduction strategies: an online study of 16-88 year olds in Victoria, Australia. Harm Reduct J. (2017) 14:49. doi: 10.1186/s12954-017-0173-y
56. Shang R, Chen Y, Lia H. The Value of Participation in Virtual Consumer Communities on Brand Loyalty. Taiwan: Internet Research Emerald Group Publishing Limited (2006). doi: 10.1108/10662240610690025
63. Lindsay S, Thomas S, Lewis S, Westberg K, Moodie R, Jones S. Eat, drink and gamble: marketing messages about 'risky' products in an Australian major sporting series. BMC Public Health. (2013) 13:719. doi: 10.1186/1471-2458-13-719
64. Derevensky J, Sklar A, Gupta R, Messerlian C, Laroche M, Mansour S. The Effects of Gambling Advertisements on Children and Adolescent Gambling Attitudes and Behaviors. Montreal, QC: McGill University 2007.
66. Gainsbury SM, Russell A, Hing N, Wood R, Blaszczynski A. The impact of internet gambling on gambling problems: a comparison of moderate-risk and problem Internet and non-Internet gamblers. Psychol Addict Behav. (2013) 27:1092–101. doi: 10.1037/a0031475
67. McMullan JL. Submission to the Joint Select Committee on gambling reform Inquiry Into Interactive Gambling. Parliament of Australia (2011). Available online at: http://www.aph.gov.au/senate/committee/gamblingreform_ctte/interactive_online_gambling_advertising/submissions.htm
68. Romo L, Legauffre C, Guilleux A, Valleur M, Magalon D, Fatseas M, et al. Cognitive distortions and ADHD in pathological gambling: a national longitudinal case-control cohort study. J Behav Addict. (2016) 5:649–57. doi: 10.1556/2006.5.2016.070
69. Guillou Landreat M, Deriennic J, Brunault P, Challet Bouju G, Gallopel Morvan K, Grall Bronnec M. [Gambling marketing: a public health concern?]. Presse Med. (2019) 48:347–52. doi: 10.1016/j.lpm.2019.02.012
70. Corti B, Holman C, Donovan R, Frizzell S, Carroll A. Using sponsorship to create healthy environments for sport, racingand arts venues in Western Australia. Health Promot Int. (1995) 10:185–97. doi: 10.1093/heapro/10.3.185
73. Babor TF, Jernigan D, Brookes C, Brown K. Toward a public health approach to the protection of vulnerable populations from the harmful effects of alcohol marketing. Addiction. (2017) 112(Suppl. 1):125–7. doi: 10.1111/add.13682
74. Burge AN, Pietrzak RH, Molina CA, Petry NM. Age of gambling initiation and severity of gambling and health problems among older adult problem gamblers. Psychiatr Serv. (2004) 55:1437–9. doi: 10.1176/appi.ps.55.12.1437
75. Burge AN, Pietrzak RH, Petry NM. Pre/early adolescent onset of gambling and psychosocial problems in treatment-seeking pathological gamblers. J Gambl Stud. (2006) 22:263–74. doi: 10.1007/s10899-006-9015-7
76. Jimenez-Murcie S, Alvarez-Moya E, Stinchfield R, Fernandez-Aranda R, Granero R, Aynami N, et al. Age of onset in pathological gambling: clinical, therapeutic and personality correlates J Gambl Stud. (2010) 26:235–48. doi: 10.1007/s10899-009-9175-3
77. Derevensky J, Sklar A, Gupta R, Messerlian C. An empirical study examining the impact of gambling advertisements on adolescent gambling attitudes and behaviors Int J Ment Health Addict. (2010) 8:21–34. doi: 10.1007/s11469-009-9211-7
78. Gainsbury S, Russell A, Wood C, HIng N. How risky is Internet gambling? A comparison of subgroups of Internet gamblersbased on problem gambling status. New Media Soc. (2014). 78:861–79. doi: 10.1177/1461444813518185
80. Wood RT, Williams RJ. A comparative profile of the Internet gambler: demographic characteristics, game-play patterns, and problem-gambling status. New Media Soc. (2011) 13:1123–41. doi: 10.1177/1461444810397650
82. Pitt H, Thomas SL, Bestman A, Daube M, Derevensky J. What do children observe and learn from televised sports betting advertisements? A qualitative study among Australian children. Aust N Z J Public Health. (2017) 41:604–10. doi: 10.1111/1753-6405.12728
83. Houghton S, Hunter SC, Rosenberg M, Wood L, Zadow C, Martin K, et al. Virtually impossible: limiting Australian children and adolescents daily screen based media use. BMC Public Health. (2015) 15:5. doi: 10.1186/1471-2458-15-5
86. Volberg RA, Gupta R, Griffiths MD, Olason DT, Delfabbro P. An international perspective on youth gambling prevalence studies. Int J Adolesc Med Health. (2010) 22:3–38. doi: 10.1515/9783110255690.21
87. Delfabbro P, King D, Griffiths MD. From adolescent to adult gambling: an analysis of longitudinal gambling patterns in South Australia. J Gambl Stud. (2014) 30:547–63. doi: 10.1007/s10899-013-9384-7
88. Castren S, Grainger M, Lahti T, Alho H, Salonen AH. At-risk and problem gambling among adolescents: a convenience sample of first-year junior high school students in Finland. Subst Abuse Treat Prev Policy. (2015) 10:9. doi: 10.1186/s13011-015-0003-8
89. Froberg F, Rosendahl IK, Abbott M, Romild U, Tengstrom A, Hallqvist J. The incidence of problem gambling in a representative cohort of Swedish female and male 16-24 year-olds by socio-demographic characteristics, in comparison with 25-44 year-olds. J Gambl Stud. (2015) 31:621–41. doi: 10.1007/s10899-014-9450-9
90. Martin I, Kamins M, Pirouz DM, Davis S, Haws K, Mirabito A, et al. On the road to addiction: the facilitative and prveentive roles of marketing cues. J Bus Res. (2013) 66:1219–26. doi: 10.1016/j.jbusres.2012.08.015
91. Gainsbury SM, Abarbanel BLL, Philander KS, Butler JV. Strategies to customize responsible gambling messages: a review and focus group study. BMC Public Health. (2018) 18:1381. doi: 10.1186/s12889-018-6281-0
94. Yani-de-Soriano Y, Javed U, Yousafzai S. Can an Industry Be Socially Responsible if its products hamr consumers? The cas of online Gambling. J Bus Ethics. (2012) 110:481–97. doi: 10.1007/s10551-012-1495-z
96. Petticrew M, Katikireddi SV, Knai C, Cassidy R, Maani Hessari N, Thomas J, et al. 'Nothing can be done until everything is done': the use of complexity arguments by food, beverage, alcohol and gambling industries. J Epidemiol Community Health. (2017) 71:1078–83. doi: 10.1136/jech-2017-209710
97. Thomas S, Lewis S, Duong J, McLeod C. Sports betting marketing during sporting events: a stadium and broadcast census of Australian Football League matches. Aust N Z J Public Health. (2012) 36:145–52. doi: 10.1111/j.1753-6405.2012.00856.x
98. Thomas SL, Lewis S, Westberg K. 'You just change the channel if you don't like what you're going to hear': gamblers' attitudes towards, and interactions with, social marketing campaigns. Health Expect. (2015) 18:124–36. doi: 10.1111/hex.12018
101. Lim M, Hare J, Carrotte E, Dietze P. An investigation of strategies used in alcohol brand marketing and alcohol-related health promotion on Facebook. Digital Health. (2016) 2:2055207616647305. doi: 10.1177/2055207616647305
102. Lawn S, Oster C, Riley B, Smith D, Baigent M, Rahamathulla M. A literature review and gap analysis of emerging technologies and new trends in gambling. Int J Environ Res Public Health. (2020) 17:744. doi: 10.3390/ijerph17030744
Keywords: gambling, marketing, online, betting, advertising
Citation: Guillou-Landreat M, Gallopel-Morvan K, Lever D, Le Goff D and Le Reste J-Y (2021) Gambling Marketing Strategies and the Internet: What Do We Know? A Systematic Review. Front. Psychiatry 12:583817. doi: 10.3389/fpsyt.2021.583817
Received: 15 July 2020; Accepted: 02 February 2021;
Published: 26 February 2021.
Edited by:Magali Dufour, Université de Sherbrooke, Canada
Reviewed by:Anders Hakansson, Lund University, Sweden
Servane Barrault, Université de Tours, France
Copyright © 2021 Guillou-Landreat, Gallopel-Morvan, Lever, Le Goff and Le Reste. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Morgane Guillou-Landreat, email@example.com