Case Study
Digital marketing and social media: Why bother?
Maria Teresa Pinheiro Melo Borges Tiago a,*, José Manuel Cristóvão Verı́ssimo b
aBusiness & Economics Department, University of the Azores, Rua da Mae de Deus, 9501-801 Ponta Delgada, Portugal
b ISEG — Lisboa School of Economics & Management, Universidade de Lisboa, Rua do Quelhas 6, 1200-781 Lisbon, Portugal
1. The increasing digital empowerment of consumers
One of the biggest changes in human interaction is the recent proliferation of online social networks. Rapid growth of Web-based platforms that facilitate
online social behavior has significantly modified the nature of human activities, habitats, and interac- tions. Real-world social relationships have been migrated to the virtual world, resulting in online communities that bring people together from across the globe. This movement into the digital dimension allows individuals to share knowledge, entertain one another, and promote dialogues among differ- ent cultures (Budden, Anthony, Budden, & Jones, 2011; Kumar, Novak, & Tomkins, 2010). The question is no longer if people are signing in; the question is
Business Horizons (2014) 57, 703—708
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KEYWORDS Digital marketing; Budget spending; Social metrics; Digital media trends
Abstract Changes in consumer behavior require firms to rethink their marketing strategies in the digital domain. Currently, a significant portion of the associated research is focused more on the customer than on the firm. To redress this shortcoming, this study adopts the perspective of the firm to facilitate an understanding of digital marketing and social media usage as well as its benefits and inhibitors. The second generation of Internet-based applications enhances marketing efforts by allowing firms to implement innovative forms of communication and co-create content with their customers. Based on a survey of marketing managers, this article shows that firms face internal and external pressures to adopt a digital presence in social media platforms. Firms’ digital marketing engagement can be categorized according to perceived benefits and digital marketing usage. To improve digital marketing engagement, marketers must focus on relationship-based interactions with their customers. This article demonstrates how some firms are already accomplishing just that. # 2014 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.
* Corresponding author E-mail addresses: [email protected] (M.T.P.M.B. Tiago),
[email protected] (J.M.C. Verı́ssimo)
0007-6813/$ — see front matter # 2014 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.bushor.2014.07.002
Copyright 2014 by Kelley School of Business, Indiana University. For reprints, call HBS Publishing at (800) 545-7685. BH 636
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what they are signing in to and why they use certain applications to do so.
From a consumer’s perspective, the use of infor- mation communication technologies offers a num- ber of benefits, including efficiency, convenience, richer and participative information, a broader se- lection of products, competitive pricing, cost re- duction, and product diversity (Bayo-Moriones & Lera-López, 2007). Online social networking tends to enhance these benefits, as consumers are able to communicate more proactively. For example, through online social networking, individuals can seek out others’ opinions about specific products. In doing so, consumers have been shown to value peer judgments more than firm promotions, indicat- ing a shift in the locus of persuasive power (Berthon, Pitt, Plangger, & Shapiro, 2012; Pitt, Berthon, Watson, & Zinkhan, 2002).
2. Social media: Are firms being pulled or pushed?
If most customers engage with social media, firms should engage with social media as well. In the past, marketers employed e-mail blasts, direct market- ing, telemarketing, informational websites, televi- sion, radio, and other mechanisms to disseminate information related to the firm or its products. The World Wide Web was used to present marketing messages through page views and advertising to reach large numbers of people in a short amount of time. It served as an advertising tool that shaped surfer behavior (Berthon, Pitt, & Watson, 1996) rather than as a medium that facilitated interaction between buyers and sellers. Despite its utility, this type of marketing strategy is too broad to effectively target connectors, mavens, and salespeople.
If firms seek to establish mutually satisfying long-term relationships with critical surfers (e.g., salespeople or customers), an alternate Web-based strategy is needed. Specifically, firms should seek to develop digital relationships using promotional strategies that emphasize the co-crea- tion of content and meaning. To this end, word-of- mouth communication can be particularly helpful. Of course, firms have always talked to their customers; the critical difference between past and present in this regard is that now, online communication tools allow customers to respond to firms (Mangold & Faulds, 2009). This pressures firms to adopt a more digital presence. In response, some firms have im- plemented Web 2.0 technologies. Web 2.0 is more than the evolution of Web-based technology: it represents a social revolution in the ways in which
those technologies are used. Of particular impor- tance for firms wishing to communicate with their customers is the advent of participatory information- sharing over the Internet. This phenomenon, coupled with global improvements in communication tech- nology and lower costs for Internet access, sets the stage for major shifts in digital marketing strategies, particularly with respect to the promotional-mix dimension.
Although the growth of Web 2.0 provided some tools for relationship-based marketing, the Seman- tic Web has since spread further and new dimensions have been added (Silva, Mahfujur Rahman, & El Saddik, 2008). The Semantic Web represents an evolution from ‘read-only’ content to an interface in which content can be read or written (‘read- write’), and finally to the ‘Executable Web’ (Rizzotti & Burkhart, 2010). The latter is characterized by individual-oriented and dynamic relationships based on personalization, intelligent searches, and behav- ioral advertising (Agarwal, 2009). This phenomenon constantly builds and evolves, shifting the locus of market power from firms to consumers (Berthon et al., 2012; Pitt et al., 2002). Thus, an online, content-based marketing strategy could bridge both consumer—firm and physical—virtual gaps (Silva et al., 2008). In doing so, such a strategy would allow for not only more effective marketing strate- gies but also a new relationship paradigm.
3. Digital marketing engagement: The case of Portuguese companies
To explore the motivations behind firms’ adoption of online communication strategies, in July and August of 2011 we conducted an online survey of marketing managers from the largest firms in Portugal. Of the 2,000 surveys administered, 170 were completed (response rate: 8.5%). Respondents worked for firms across a variety of industries. The Portuguese market is useful for the purposes of this study because of the high degree to which information and commu- nication technologies and social networking are em- braced there. In 2005, Portugal was ranked 15th
worldwide in mobile communication penetration at 81.84% (Union, 2009). By the last quarter of 2012, the mobile penetration rate had risen to a record 156.3%, suggesting that the average Portuguese citizen tends to possess more than one mobile phone (ANACOM, 2012). Widespread access to high-speed wireless networks and the growing extent to which mobile phones are used by Portuguese citizens have led to increased use of the Internet, too. According to Euro- stat (see Seybert, 2012), Portugal has an Internet penetration rate in excess of 61%.
704 M.T.P.M.B. Tiago, J.M.C. Verı́ssimo
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3.1. Competitive pressure drives digital marketing efforts
As revealed by our study, external competitive pres- sure plays the most prominent role in a firm’s deci- sion to utilize digital media for marketing purposes (56% of surveyed managers rated it as important or extremely important). Internal efficiency repre- sents the second-most influential factor (49% of managers) driving firms to adopt digital marketing strategies, followed by the facilitation of top-down directives (13% of managers).
Digital social media brings several advantages to firms. Ainscough and Luckett (1996), for example, argue that the Web can be used for publishing, online sales, market research, and customer sup- port. Other scholars contend that the Web can assist in brand building, generating word-of-mouth com- munication among consumers, buzz marketing, and crowdsourcing (Whitla, 2009). In addition to helping with the execution of marketing strategies, the Internet may improve the firm’s overall perfor- mance (Eid & El-Gohary, 2011).
Managers rely heavily on digital marketing to build their brand (82% of surveyed managers rated it as important or extremely important), improve knowl- edge (78% of managers), and heighten communica- tion flows (70% of managers). Because social networks are largely based on user participation, it was reasonable to expect that the promotion of social activities would emerge as a key motivator for firms to become involved with social media. However, only 41% of respondents define the promotion of social activities as the primary driver for their digital marketing efforts. In addition–—and contrary to the findings of Kaplan and Haenlein (2010)–—only 37% of marketing managers recognize an important link between digital presence and internal marketing. These findings suggest that, among the largest Por- tuguese companies, digital marketing efforts are mainly influenced by external forces.
3.2. Information gathering and feedback tops digital presence benefits
The Web’s potential as a sales channel has been well documented (see Kondopoulos, 2011). Benefits de- rived from the Web depend largely on the company’s active engagement in Web-based platforms. There- fore, we asked managers to rate a number of benefits offered by digital presence that have been proposed in past research. Eighty-seven percent of respondents identified digital presence as an effective vehicle for information exchange (see Table 1). One marketing director said that digital media is important for ‘‘establish[ing] direct dialogue with the consumer.’’
Another stated: ‘‘[Digital media] helps in evaluating suppliers and. . .partners with whom I work.’’
Other benefits of online marketing praised by respondents include ease of use, its potential for increasing knowledge, and the promotion of firms’ internal and external relationships. One marketing manager claimed that the Internet allows for ‘‘knowing consumers’ consumption habits [and] preferences and identify[ing] pioneers’’ while an- other argued that the Internet helps to ‘‘detect or anticipate negative reactions by clients or mar- kets.’’ Although a digital presence has internal pos- itive effects, these are of lesser importance to marketing managers.
Results clearly indicate that communication is a key component in digital marketing. However, digi- tal marketing is not limited to the content of the message; it extends to links with customers and represents a powerful tool for building, consolidat- ing, and maintaining brand awareness. For example, one respondent claimed that the firm for which he/ she worked ‘‘use[s] the Web to create engagement with customers and promote brand awareness.’’ Another manager reiterated the importance of the Web for promoting interaction, claiming that ‘‘digital media enables and improves communica- tion processes.’’
3.3. Digital media investments: Where the money goes
Marketers recognize the importance of digital mar- keting and thus invest significant financial resources in its development and implementation (Weinberg & Pehlivan, 2011; Zhao & Zhu, 2010). No standard formula exists for determining how much a firm should invest in digital social media; several firm- specific characteristics–—including internal digital infrastructure, media choices, and customer pref- erences–—affect investment decisions (Weinberg & Pehlivan, 2011). Nonetheless, businesses are quickly
Table 1. Benefits of digital presence
Benefit type %a
Improves information gathering and feedback 87
User-friendly tool 85
Increases knowledge 85
Promotes internal and external relationships 82
Supports decision-making process 60
Increases productivity 58
Better outcome measurement 53
Note: N = 170 a Percentage of respondents rating 4 or 5 on a 1—5 scale
where 5 = extremely important.
Digital marketing and social media: Why bother? 705
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learning how to reap the benefits offered by digital and social media. One marketing director said: ‘‘The most important factor for the involvement of com- panies in digital media is the very low investment required when compared with traditional media.’’ However, 18% of surveyed firms intend to increase the amount they invest in digital social media.
Most dramatic changes in communication tech- nologies have been related to user participation. It is therefore reasonable to expect that firms will dedicate substantial financial resources to facilitate interaction with their customers (Weinberg & Pehlivan, 2011). Table 2 shows that most partici- pants (81%) plan to invest in social networking sites. One participant noted: ‘‘More than socializing, it is important to convert social networking into real people, representing consumers, clients, journal- ists, analysts, current and future employees, part- ners, and other suppliers.’’ Fifty percent of respondents claim digital advertising as a priority area for investment. This finding matches with worldwide investment trends. ZenithOptimedia an- ticipates that investment in Internet advertising will exceed investment in other media in the near future (Barnard, 2012). In 2013, worldwide Internet adver- tising expenditures were predicted to increase more than 14% to an all-time record of $101.5 million. In
contrast, monetary investment in traditional media was predicted to increase by only 4% from its 2012 level. With just 18% of managers planning to invest in blogs, this is one of the less important areas of planned investment in digital marketing.
Employees play a key role in digital marketing because they implement the firm’s strategy. Not surprisingly, 45% of surveyed firms intend to increase the number of employees whose focus will be digital marketing. One marketing director argued that dig- ital marketing processes should not be outsourced: ‘‘I personally don’t believe in outsourcing what is strategic. . . .Outsourcing in this [digital marketing] area is like shooting yourself.’’ Although many com- petencies require greater investment, results show that some areas demand more attention than others; developing mobile- and video-based appli- cations, for instance, commands more time and resources than website maintenance or blog editing. Corporate webpages are the most frequently used digital communication channel (90% of respond- ents), followed by social networking sites like Facebook (73%), LinkedIn (46%), and Twitter (42%). Digital marketing expenditures currently rep- resent nearly 20% of the total budget among sur- veyed firms. These expenditures will continue to grow, as 77% of firms report an intention to increase investment in digital promotion in the short term.
3.4. The rising importance of engagement metrics
Gauging the effectiveness of digital marketing can be quite difficult. As one marketing manager stated bluntly: ‘‘I’m not sure that it is easy to measure the return on all investments in digital marketing.’’ Nonetheless, some standard metric is needed to justify the money spent. New ROI calculators are being proposed almost as quickly as new social net- working sites appear (Fisher, 2009). Zhao and Zhu (2010) proposed a model to assess returns on invest- ments made in digital marketing that includes a series of measures influenced by competitors’ actions. Sim- ilarly, Hoffman and Fodor (2010) proposed more than 50 metrics for evaluating the effectiveness of social media to promote brand awareness, brand engage- ment, and word-of-mouth buzz.
To evaluate how marketing managers go about measuring digital marketing effectiveness, survey participants were asked to rank several renowned measures according to their importance. Brand awareness (89%), word-of-mouth buzz (88%), cus- tomer satisfaction (87%), user-generated content (80%), and Web analytics (80%) were the most pop- ular metrics. Rather than more-conventional met- rics, it seems managers prefer those that promote
Table 2. Digital investment areas
Area of investment %a
Digital presence
Social network/apps 81
E-mail marketing 65
Digital ads 50
Viral campaigns 46
Digital brand experiences 39
Mobile 38
Search engine optimization 32
Digital infrastructure 25
Blogs 18
Games 7
Human Resources
People involved in digital marketing 45
Competencies
Mobile apps development 39
Video content development 28
Website design 21
Website maintenance and domain 16
Blogs edition 13
Note: N = 170 a Percentage of respondents planning to invest in designated
areas.
706 M.T.P.M.B. Tiago, J.M.C. Verı́ssimo
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engagement: page views (66%), cost per thousand impressions (63%), and click-through rate (58%). Ultimately, the metric employed to measure digital marketing effectiveness must suit the firm. ‘‘With- out clear objectives and strategy definition,’’ one manager opined, ‘‘it is better not to use social media at all.’’ The popularity surrounding social media is giving way to a more rational approach.
4. A typology of digital media engagement
Some have argued that investments in digital mar- keting evolve in parallel with perceived benefits such that high levels of digital marketing usage are indicative of higher levels of digital interaction, and low levels of digital marketing usage indicate a more traditional Web presence. Therefore, digital marketing usage and perceived benefits are dimen- sional variables that may effectively capture a firm’s digital engagement.
Using an optimization-partition method on two synthetic indicators–—perceived benefits and digital marketing usage–—we performed a cluster analysis to identify groups of firms with similar digital mar- keting usage and benefits perception. To this end, we developed a digital marketing usage synthetic index. Specifically, we selected a number of Web 1.0, Web 2.0, and Web 3.0 activities as indicators whose values ranged from 0 (inexistent) to 1 (used). These indicators were: (1) institutional website or microsite; (2) website or microsite for clients; (3) chat/voice/video over IP; (4) mobile network; (5) mobile applications; (6) discussion forum; (7) Facebook; (8) Twitter; (9) Orkut; and (10) blogs. Following their selection, we applied weights to most indicators: indicators (5) and (6) were given a weight of two; indicators (7) through (10) were given a weight of three; and all remaining indicators were not assigned a weight.
We also calculated the perceived benefits dimen- sion with a synthetic index comprised of a set of benefits indicators whose values ranged from 1 (not relevant) to 7 (very important), composed in a general index of base twenty. These benefits indi- cators were: (1) information gathering; (2) compe- tition follow-up; (3) customer data obtainment; (4) information supply about innovations; (5) informa- tion/knowledge sharing; (6) communication with customers; (7) awareness creation; (8) internal communication; (9) socialization; (10) response to information requests; (11) communication with partners/suppliers; (12) employees’ training; (13) conversation/activity monitoring; and (14) em- ployees’ recruitment. The resulting matrix was
composed using a multidimensional scale analysis with the synthetic indicators. The final digital en- gagement matrix suggests four distinct digital mar- keting usage/benefits profiles (see Figure 1):
� Engagement: Acknowledges high digital market- ing usage and high benefits from it. Interactive users are mostly from the IT and telecom sectors. These companies have the lowest digital market- ing budgets (less than 30% of global marketing expenditures) and show no intention to increase them. This group emphasizes marketing through mobile and networking apps, yet does not neglect the potential of traditional webpages to market its products: social media engagement enhances the relative efficiency of these firms’ institutional webpages. Interactive users received 15 points (in a scale from 1 to 20) on benefits perception (BP), and 19 points for using a large set of digital marketing tools (DMU). Relative to interactive users, digital users (BP = 18; DMU = 17) perceived greater benefits from digital marketing but used fewer tools. Digital users include a large number of IT firms, retail firms, and financial services.
� Qualification: Invests significantly in digital mar- keting tools but has low expectations regarding its benefits. Dubbed digital learners (BP = 8; DMU = 16), firms in this quadrant use mostly in- stitutional websites, although some evidence suggests they also use social networking as a marketing tool. Firms in the qualification quad- rant include IT and retail firms.
Figure 1. Digital engagement matrix
Digital marketing and social media: Why bother? 707
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� Discovery: Has weak digital marketing usage and low benefit perception. Named digital laggards, firms in this quadrant are typically public services and utilities that perceive limited benefits from digital marketing (BP = 4) and show low adoption rates of digital tools (DMU = 2). Most common digital activities involve the use of institutional webpages, chat, and voice-based communication over IP.
� Dead-road: Reflects the inefficiency of an unbal- anced approach–—high perceived benefits but, nonetheless, low commitment to digital market- ing. No firms were found in this quadrant.
5. Managerial implications
The Web can be an extremely useful tool for market- ers in creating strong brands and gaining competitive advantages. To effectively utilize the advantages offered by the Internet, though, firms must adopt social media as a channel of providing information to customers; connecting with stakeholders; and, ulti- mately, generating sales.
As marketing communications become increas- ingly integrated with the digital space, marketers can use social media to create digital linkages with customers. There are two main methods for devel- oping these linkages: (1) perform as a digital or interactive firm, thereby maintaining or reinforcing the high levels of digital marketing usage, or (2) adopt various kinds of social media interaction to increase usage of digital marketing. All efforts in this domain should lead to increased engagement, stronger relationships with customers, and subse- quent customer engagement.
References
Agarwal, A. (2009, May 30). Web 3.0 concepts explained in plain English. Retrieved June 12, 2013, from http://www.labnol. org/internet/web-3-concepts-explained/8908/
Ainscough, T., & Luckett, M. (1996). The Internet for the rest of us: Marketing on the World Wide Web. Journal of Consumer Marketing, 13(2), 36—47.
ANACOM. (2012). Informação estatı́stica do serviço de acesso à Internet (Vol. 3). Lisboa, Portugal: ANACOM.
Barnard, J. (2012, October 1). ZenithOptimedia releases Septem- ber 2012 advertising expenditure forecast. Retrieved January 4, 2013, from http://www.zenithoptimedia.com/zenith/ zenithoptimedia-releases-september-2012-advertising- expenditure-forecasts/
Bayo-Moriones, A., & Lera-López, F. (2007). A firm-level analysis of determinants of ICT adoption in Spain. Technovation, 27(6/7), 352—366.
Berthon, P., Pitt, L. F., & Watson, R. T. (1996). The World Wide Web as an advertising medium. Journal of Advertising Re- search, 36(1), 43—54.
Berthon, P. R., Pitt, L. F., Plangger, K., & Shapiro, D. (2012). Marketing meets Web 2.0, social media, and creative con- sumers: Implications for international marketing strategy. Business Horizons, 55(3), 261—271.
Budden, C. B., Anthony, J. F., Budden, M. C., & Jones, M. A. (2011). Managing the evolution of a revolution: Marketing implications of Internet media usage among college students. College Teaching Methods and Styles Journal, 3(3), 5—10.
Eid, R., & El-Gohary, H. (2011). The impact of e-marketing use on small business enterprises’ marketing success. The Service Industries Journal, 33(1), 31—50.
Fisher, T. (2009). ROI in social media: A look at the arguments. Journal of Database Marketing and Customer Strategy Man- agement, 16(3), 189—195.
Hoffman, D. L., & Fodor, M. (2010). Can you measure the ROI of your social media marketing? MIT Sloan Management Review, 52(1), 41—49.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59—68.
Kondopoulos, D. (2011). Internet marketing advanced techniques for increased market share. Chimica Oggi-Chemistry Today, 29(3), 9—12.
Kumar, R., Novak, J., & Tomkins, A. (2010). Structure and evo- lution of online social networks. In P. S. Yu, J. Han, & C. Faloutsos (Eds.), Link mining: Models, algorithms, and appli- cations (pp. 337—357). New York: Springer.
Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357—365.
Pitt, L., Berthon, P., Watson, R., & Zinkhan, G. (2002). The Internet and the birth of real consumer power. Business Horizons, 45(4), 7—14.
Rizzotti, S., & Burkhart, H. (2010). useKit: A step towards the executable Web 3.0. Proceedings of the 19th International Conference on World Wide Web (pp. 1175—1176). New York: ACM.
Seybert, H. (2012). Internet use in households and by individuals 2012. Retrieved January 25, 2013, from http://epp.eurostat. ec.europa.eu/cache/ITY_OFFPUB/KS-SF-12-050/EN/KS-SF- 12-050-EN.PDF
Silva, J. M., Mahfujur Rahman, A. S. M., & El Saddik, A. (2008). Web 3.0: A vision for bridging the gap between real and virtual. Proceedings of the 1st ACM International Workshop on Communicability Design and Evaluation in Cultural and Ecological Multimedia Systems (pp. 9—14). New York: ACM.
Union, I. T. (2009). Media statistics: Mobile phone subscribers (most recent) by country. Retrieved December 6, 2013, from http://www.NationMaster.com/graph/med_mob_pho- media-mobile-phones
Weinberg, B. D., & Pehlivan, E. (2011). Social spending: Managing the social media mix. Business Horizons, 54(3), 275—282.
Whitla, P. (2009). Crowdsourcing and its application in marketing activities. Contemporary Management Research, 5(1), 15—28.
Zhao, L., & Zhu, J. S. (2010). Internet marketing budget alloca- tion: From practitioner’s perspective. International Journal of Information Technology and Decision Making, 9(5), 779—797.
708 M.T.P.M.B. Tiago, J.M.C. Verı́ssimo
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