Liverpool Football Club - Data Analytics in - SJ Kang
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
SJ Kang _ Data Analytics in Liverpool Football Club Data Analytics in Liverpool Football Club SJ Kang 1
SJ Kang _ Data Analytics in Liverpool Football Club Table of Contents 1 Introduction ................................................................................................... 3 2 Importance of Fan Data Analytics in Liverpool FC.......................................... 4 2.1 Stadium Expansion Scheme ...................................................................... 4 2.2 Internationalisation of Premier League ..................................................... 5 3 Data Ecosystem in Liverpool FC ...................................................................... 6 3.1 Website – The Hub of Data Ecosystem ...................................................... 7 3.2 Social Media .............................................................................................. 8 4 Customers and Pricing Strategies in Liverpool FC .......................................... 9 4.1 Customer Analytics ................................................................................... 9 4.2 Ticket Price Strategies ............................................................................. 12 5 CRM & Customer Engagement in Liverpool FC ............................................ 15 5.1 Customer Relationship Management ...................................................... 15 5.2 Fan Engagement ..................................................................................... 16 6 Recommendations for Liverpool FC ............................................................. 19 6.1 The Strategies ......................................................................................... 19 7 List of References ......................................................................................... 24 2
SJ Kang _ Data Analytics in Liverpool Football Club 1 Introduction Liverpool Football Club (will be written as Liverpool FC or LFC) is an English football club founded in 1892 (LFC 2018a). Although LFC could not win the Premier League (PL) title after 1990, it is newly acquired by Fenway Sports Group in 2010 and constantly aims to involve into international football competition, Champions League (Bennet 2012; PL 2018a). This report aims to find out why LFC needs data analytics and how its data ecosystem works first. Then, will mention who are LFC followers and how to communicate. Recommendation to improve fan engagement and revenue will be identified lastly. 3
SJ Kang _ Data Analytics in Liverpool Football Club 2 Importance of Fan Data Analytics in Liverpool FC Data exists in different forms such as numbers, pictures, and footages (Surma 2011). Data is to identify and store relevant information for organisation’s goal (Harrison & Bukstein 2017). Analytics refers the process of converting raw data to meaningful information (Leibowitz 2014). For LFC, collecting and analysing fan data might be useful to know who their fans are and to build business roadmap (Fried & Mumcu 2017). Particularly, stadium expansion and growth of international fans require LFC to conduct fan analytics (Marr 2015). 2.1 Stadium Expansion Scheme Liverpool FC has started expanding its stadium, Anfield (Financial Times 2018). The first phase of stadium reconstruction was completed in 2017 which increased capacity from 44,000 to 54,000 (SportsPro 2018). This expansion delivered £12 million more matchday income to LFC in 2016/17 season than previous season (Telegraph 2018) Moreover, the second expansion will be completed until 2021 and grow the capacity to 61,000 (This is Anfield 2018). Therefore, LFC should know which fans desire to come to Anfield and set up proper strategies to maximise their matchday profit (Brook 2016). 4
SJ Kang _ Data Analytics in Liverpool Football Club 2.2 Internationalisation of Premier League From early 2000, PL started receiving foreign investment and it generated international stakeholders, owners, sponsors, players, and so on (Hassan & Hamil 2011). PL is currently broadcasted to 212 different countries and it reaches 3 billion international audiences (VoiceBox 2018). Therefore, PL could acquire international fans and generated £1 billion by oversea TV rights during 2016-2019 (Cleland 2017). Since, LFC is holding international event, already 99,000 foreigners are visiting Liverpool annually for LFC (BBC 2015). Increasing international fan is a chance for LFC to increase TV right revenue. To satisfy international fan group and to collect more fans globally, LFC now needs to analyse about this group (PL 2018b). 5
SJ Kang _ Data Analytics in Liverpool Football Club 3 Data Ecosystem in Liverpool FC Data ecosystem refers the system can collect, analysis, interpret, and publish data (Michener & Brunt 2000). In terms of sport, data analytics were mainly used to get a better match result (Severini 2014). However, Orlando Magic, the American basketball team, successfully operated smartphone application by cooperating with VenueNext and proved the importance of data ecosystem in sport business (Harrison & Bukstein 2017). 6
SJ Kang _ Data Analytics in Liverpool Football Club 3.1 Website – The Hub of Data Ecosystem LFC website collects fan data mainly when fans make an account. LFC asks basic personal information for free registration, but it requires much more data for season ticket holders and membership card holders like the screenshots below. LFC even saves fan’s credit or debit card detail in its data ecosystem. DeLone and McLean (William & Ephraim 2003) said the quality of information, system, and service are three important values to judge whether data system successfully operates or not. Since LFC records high quality of fan information, like, payment card and purchase history, this report can say LFC website has stable data ecosystem. 7
SJ Kang _ Data Analytics in Liverpool Football Club 3.2 Social Media Additionally, Fans can easily navigate from LFC website to social media. Moreover, hyperlinks from social media to official online LFC store is also well organised. Since, LFC organised good data system, fans can easily navigate LFC platforms without disturbance (Karayanni & Baltas 2003). Furthermore, LFC can also easily collect fan data, for example, how fan could access to LFC website or what is the process of purchasing shirts and product in online store (Bota 2009). 8
SJ Kang _ Data Analytics in Liverpool Football Club 4 Customers and Pricing Strategies in Liverpool FC Matchday income is third biggest revenue source in LFC (Millward 2013). To drive revenue, setting appropriate price is important based on customer data (Bejou & Palmer 2012). This section analyses LFC’s current and potential match ticket customers. 4.1 Customer Analytics Based on customer transaction data, this report divided customers into three segments like figure 13. 9
SJ Kang _ Data Analytics in Liverpool Football Club 4.1.1 Season Ticket Holders TalkSports (2017) researched that season ticket holders filled nearly 46% of Anfield seats in 2016/17 season by selling 25,000 season tickets. LFC runs ticket exchange policy for this group in case they cannot attend the match. Season ticket holders tend to be more loyal than other fans and geographically live near Liverpool (Schreyer, Schmidt, & Torgler 2018). 4.1.2 Membership Card Holders (Members) In LFC and this report, ‘LFC members’ refers customers who purchased membership card. Three types of membership cards are existing but only full and light members are authorised to purchase remained tickets after season ticket holders choose their seats (LFC 2018b). Full membership is £35.99 while light is £26.99, instead, full members receive souvenirs. This shows full members are interested in merchandised product while light members are price sensitive (Adeinat & Ventura 2015). 10
SJ Kang _ Data Analytics in Liverpool Football Club 4.1.3 Non-members Non-members in this report refers LFC supporters but have not purchased neither season ticket or membership card. International supporter represents this group, and they officially have no way to purchase LFC’s match ticket According to VisitBritain (This is Anfield 2015), approximately 99,000 foreigners visited Anfield in 2014, which was second highest record among PL teams. International fans geographically cannot attend match regularly, but support LFC through purchasing merchandised product or engaging in LFC social media (Rookwood & Chan 2011). 11
SJ Kang _ Data Analytics in Liverpool Football Club 4.2 Ticket Price Strategies This section defines which ticket price strategy LFC is using and compare the ticket price with other PL clubs. Figure 17 shows three types of ticket pricing strategies. 4.2.1 Season Ticket Holders & Members LFC adapted premium seat pricing for both season ticket and membership card holders, although several PL teams start applying variable pricing. LFC divided the quality of seats into 12 tiers (LFC 2018c). 12
SJ Kang _ Data Analytics in Liverpool Football Club Still, LFC average ticket price is more expensive than other PL teams. During 2017/18 season, LFC’s highest season ticket price was £869, while average PL’s highest season ticket was £843.58 (BBC 2017). Furthermore, single ticket was the most expensive price between PL teams outside of London (LFC 2018c). This expensive ticket price caused LFC fans to complain (Liverpool Echo 2014). Some fans started holding banners during the match or writing posts on social media to complain expensive tickets (This is Anfield 2016). 13
SJ Kang _ Data Analytics in Liverpool Football Club 4.2.2 Non-members As 4.1.3 mentioned, non-members, especially international followers, geographically cannot attend the match regularly. However, they are willing to travel to Liverpool, and highly desire to watch LFC match more than anyone (Nishio 2016). One unofficial way to get ticket is using resale market. For example, Stubhub, well- known ticket resale market, currently sells LFC tickets from £175 up to nearly £650. It is at least five times more expensive price than the original one. Unfortunately, resale market does not guarantee if the seller sells real tickets or not (Griffith 2015). Nevertheless, some desperate international fans purchase those ticket regardless of price and uncertainty (Dayer & Martin 2010). Section 6 will discuss more about how to drive revenue by overcoming these situations. 14
SJ Kang _ Data Analytics in Liverpool Football Club 5 CRM & Customer Engagement in Liverpool FC This section addresses the importance of CRM and customer engagement, then mentions how LFC is doing well in these fields. 5.1 Customer Relationship Management CRM is an abbreviation of Customer Relationship Management (Ruivo, Oliveira, & Mestre 2017). According to Dyche’s (Dyche 2002) CRM definition, LFC will be able to keep loyal fans, maximise current customers value, and gain potential international supporters by continuously keep relationship with fans. 5.1.1 Building Current Fan’s Loyalty As section 3.1 mentioned, LFC automatically renews season ticket and membership because renewing season ticket is football fans’ one propensity model (Mcdonald, Karg, & Leckie 2014). LFC also realises members are willing to attend the match regularly based on member’s transactional information. For these fans, LFC runs Auto Cup Scheme which LFC will automatically purchase the cup match tickets for members who registered their payable cards (LFC 2018d). As fan regularly attend every cup game, their loyalty will grow. 15
SJ Kang _ Data Analytics in Liverpool Football Club 5.1.2 Interaction with International Fans LFC organises the event, LFC World, in eight different Asian countries to both acquire new fans and grow loyalty of existing international fans (LFC 2018e). In 2018, LFC World was held in Seoul, South Korea for three days (LFC 2018f). During this event, LFC prepared tables and collected Korean fans’ personal details. After then, LFC randomly chose one fan to give a free opportunity to visit Anfield. This opportunity motivated Korean fans to spontaneously complete their personal detail specifically. LFC, therefore, form CRM system with South Korean fans. 5.2 Fan Engagement Fan engagement, in sport, can be watching sport, buying merchandised products, or having sport conversation with others (Bristow & Sebastian 2001). Since technology developed, fans now can engage in sport through social media by reading and writing the posts (Vale & Fernandes 2018). Higher fan engagement helps sport teams to grow fan loyalty and to acquire new fans (Loop & Malyshev 2013). This report will analyse LFC’s Facebook and Instagram pages where fan engagement occurs (Macy & Tompson 2011). 16
SJ Kang _ Data Analytics in Liverpool Football Club 5.2.1 Instagram Instagram is LFC’s biggest social media followed by 10.7 million (Statflux 2018). LFC and Tottenham Hotspurs are keeping high fan engagement in Instagram which is 2%, while other PL clubs retain generally between 0.5% to1% of engagement (Statflux 2018). Fan engagement highly occurs when LFC posts its celebrity, Mohamed Salah (Statflux 2018). Moreover, LFC makes fans to feel nostalgia by posting pictures and videos of former players and LFC’s greatest moment (Goodman 2012). 17
SJ Kang _ Data Analytics in Liverpool Football Club 5.2.2 Facebook LFC’s main Facebook page has approximately 8,800,000 followers which is lower than Instagram, but has more than 100 official LFC supporters club Facebook page all around the world. Each page offers different languages so that foreign fans can easily understand the posts and communicate with LFC. Furthermore, LFC runs International Football Academy in 30 different countries (International Academy 2018). Each academy has their own Facebook page. They also post the picture of young students learning football in different language so that LFC can raise young future avid fan globally. These pages are directly linked to LFC online store so international fans can easily shop and engage in LFC by purchasing product (Gao & Koufaris 2006). 18
SJ Kang _ Data Analytics in Liverpool Football Club 6 Recommendations for Liverpool FC Recommendations will be suggested based on TiMMS. It is an acronym of Ticket Marketing, Sales and Service and the purpose is to design business roadmap for LFC to increase attendance rate and fan engagement (Farris 2016). 6.1 The Strategies Match attendance is already very high in LFC. 52,958 people attended match in average, while stadium’s capacity was 54,000 in 2017/18 season (Statista 2018). However, the capacity will be 61,000 in 2021, so LFC must think about how to fill 7,000 more attendances. 19
SJ Kang _ Data Analytics in Liverpool Football Club 6.1.1 Retain Avid Fans – Season Ticket Holders Consulting company, Aspire group, generally suggests sport teams to retain 85% of season tickets holders (Van Riper 2012). However, LFC is offering auto season ticket renewal service, so this report asks LFC to keep 95% of renewal. Moreover, LFC should sell 2,500 more season tickets because some fans already desire to purchase season ticket. As 4.1.1 mentioned, season ticket holders geographically live near Liverpool. Therefore, community- based campaign can affect season ticket holders (Blumrodt, Bryson, & Flanagan 2012). For example, Wolverhampton FC runs quite well organised foundation which supports the city, Wolverhampton, to be a healthy place as below. LFC owns foundation department, but it should be more revitalised. Devoting to make Liverpool better city will help LFC fans to be more passionate fans. 20
SJ Kang _ Data Analytics in Liverpool Football Club 6.1.2 Grow Casual Fans – LFC Members According to Mullin’s (2014) fan escalator theory, clubs should grow casual fans to be more passionate. Releasing 3,000 seats for members can offer more match experience and lift them to the top place on escalator in the future. Full Membership Card Holders Refer to the section 4.1.2, full membership fans are interested in merchandised products which means they can be easily conversed to purchase product. So, exposure them into advertisement will be good tactic (Samat, Hashim, & Yusoff 2015). Using social media advertisement is a good example (Stander, Van Zyl, & Motaung 2016). 21
SJ Kang _ Data Analytics in Liverpool Football Club Light Membership Card Holders Light members are price sensitive customer. For them, selling discounted product is effective selling tactic (Burton et al. 2014). Particularly, in the end of the season, the old shirts value drops because the new shirts will be released soon (Beech & Chadwick 2007). Therefore, LFC should send email or phone message that ‘LFC is clearing inventories with huge discount’ based on fan data in CRM system. Such a discount campaign in the end of season will help LFC to reduce inventories and increase revenue. 6.1.3 Acquire New Fans – International Fans Existing International Fans Although, LFC is not selling tickets to international fans now, this report highly recommends setting up new ticket sale scheme named ‘international ticket scheme.’ This releases 1,500 tickets to international fans to be new ticket customers. However, with twice more expensive price. 22
SJ Kang _ Data Analytics in Liverpool Football Club Like 4.2.2 said, international fans often use ticket resale market to purchase five times more expensive tickets with uncertainty. However, with this new scheme, LFC guarantees that tickets are not fake, and tickets are much cheaper than the resale market. Once international fans watch LFC match through this scheme, their fan loyalty will grow. Furthermore, LFC can earn 3,000 seat’s profits by only selling 1,500 tickets. New International Fans Additionally, running social media in different languages and holding global events regularly are important for LFC not only to communicate with existing international fans, but also, to poach new LFC fans. In sports business, it is hard to take rival team’s fans, so targeting non-football fans will be a good idea (James 2016). For example, Sport team image is generally proportional to its sponsor image (Kelly et al. 2016). Therefore, LFC should consider the image of the company when they choose the global sponsors. 23
SJ Kang _ Data Analytics in Liverpool Football Club 7 List of References Adeinat, H. & Ventura, J. (2015) ‘Determining the retailer's replenishment policy considering multiple capacitated suppliers and price-sensitive demand’. European Journal of Operational Research 247 (1), 83–92 BBC (2015) Overseas football fans visiting Britain now at 800,000 [online] available from [27 November 2018] BBC (2017) Price of football 2017: Premier League clubs cut or freeze majority of prices [online] available from [18 November 2018] Beech, J. & Chadwick, S. (2007) The Marketing of Sport. Harlow, England: Prentice Hall / Financial Times Bejou, D. & Palmer, A. (2012) The future of relationship marketing. New York: Routledge Bennett, R. (2012) ‘The real moneyball. (ownership of football clubs) (Boston Red Sox and Liverpool Football Club)’. Bloomberg Businessweek (4289), 71-73 Blumrodt, J., Bryson, D., & Flanagan, J (2012) ‘European football teams’ CSR engagement impacts on customer-based brand equity’. Journal of Consumer Marketing 29 (7), 482-493 24
SJ Kang _ Data Analytics in Liverpool Football Club Bóta, L. (2009) ‘Web page navigation analyses for marketing management decision- making’. Periodica Polytechnica: Social and Management Sciences 17 (2), 89– 95 Bristow, D. N. & Sebastian, R. J. (2001) ‘Holy cow! Wait ‘til next year! A closer look at the brand loyalty of Chicago Cubs baseball fans’. Journal of Consumer Marketing 18 (3), 256-275 Brook, S. (2016) ‘The impact of team performance and fan interest on NCAA football revenues’. Managerial Finance 42 (9), 902–912 Burton, S., Williams, K., Fry, R., & Chapman, K. (2014) ‘Marketing cigarettes when all else is unavailable: evidence of discounting in price-sensitive neighbourhoods.’ Tobacco control 23 (e1), 24-33 Cleland, J. (2017) ‘The English Premier League in a Global Context’. In the English Premier League: A Socio-Cultural Analysis. ed Elliott, R. London: Routledge, 70- 83 Drayer, J. & Martin, N. T. (2010) ‘Establishing legitimacy in the secondary ticket market: A case study of an NFL market’. Sport Management Review 13 (1) 39–49 Dyche, J. (2002) e CRM Handbook: A Business Guide to Customer Relationship Management. Boston, Massachusetts: Addison-Wesley 25
SJ Kang _ Data Analytics in Liverpool Football Club Fahy, F. & Jobber, D. (2015) Foundations of Marketing, 5th edn. Berkshire: McGraw-Hill Farris, M. (2016) ‘The aspire group's ticket marketing, sales, and service philosophy’. Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency. CRC Press, 69–88 Financial Times (2018) Liverpool FC hopes rock will help it hit £500m revenue goal [online] available from [23 November 2018] Fried, G. & Mumcu, C. (2017) Sport analytics: A data-driven approach to sport business and management. Routledge: London Gao, Y. & Koufaris, M. (2006) ‘Perceptual antecedents of user attitude in electronic commerce’. ACM SIGMIS Database 37 (2), 42-50 Goodman, G. F. (2012) Engagement marketing how small business wins in a socially connected world. Hoboken, New Jersey: Wiley Griffith, E. (2015) ‘StubHub: A Hot Ticket’. Fortune 172 (7), 72 Harrison, C. K. & Bukstein, S. (2017) Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency. England: Taylor & Francis 26
SJ Kang _ Data Analytics in Liverpool Football Club Hassan, D. & Hamil, S. (ed.) (2011) Who owns football? the governance and management of the club game worldwide. London, England: Routledge 2011 International Academy (2018) LFC International Academy – International Courses [online] available from [04 December 2018] James, J. D. (2016) ‘Sport fan socialisation: Becoming loyal to a team.’ Routledge Handbook of Theory in Sport Management. Taylor and Francis 263-270 Karayanni, D. A & Baltas, G. A (2003) ‘Web Site Characteristics and Business Performance: Some Evidence from International Business-to-Business Organizations’. Marketing Intelligence & Amp; Planning 21 (2), 105-114 Kelly, S., Ireland, M., Mangan, J. & Williamson, H. (2016) ‘It Works Two Ways: Impacts of Sponsorship Alliance upon Sport and Sponsor Image’. Sport Marketing Quarterly 25 (4), 541–259 Kemper, C. & Breuer, C. (2016) ‘How Efficient is Dynamic Pricing for Sport Events? Designing a Dynamic Pricing Model for Bayern Munich’. International Journal of Sport Finance 11 (1), 4–25 Liebowitz, J. (2014) Business Analytics: An Introduction. Boca Raton, Florida: Taylor & Francis Group, LLC/CRC Press 27
SJ Kang _ Data Analytics in Liverpool Football Club Liverpool Echo (2013) Reds announce lanch of first Chinese website [online] available from < https://www.liverpoolecho.co.uk/sport/football/football-news/reds- announce-launch-first-chinese-6320124> [20 November 2018] Liverpool Echo (2014) Watch: Liverpool FC ticket price protests – “Costs are too high and clubs are taking fans for granted” [online] available from [17 November 2018] Liverpool FC (2018a) Our History – The story of LFC through the years [online] available from [25 November 2018] Liverpool FC (2018b) LFC official membership [online] available from [3 December 2018] Liverpool FC (2018c) Match-day Premier League Prices 2018/19 [online] available from [03 December 2018] Liverpool FC (2018d) LFC – Tickets – Auto Cup Scheme 2018-19 [online] available from [25 November 2018] Liverpool FC (2018e) LFC World [online] available from [27 November 2018] 28
SJ Kang _ Data Analytics in Liverpool Football Club Liverpool FC (2018f) LFC World set to visit Seoul [online] available from [29 November 2018] Loop, J. & Malyshev, A. (2013) ‘How to Manage a Company's Social Media Presence’. Intellectual Property & Technology Law Journal 25 (4), 3-8 Macy, B. & Thompson, T. (2011) The power of real-time social media marketing: How to attract and retain customers and grow the bottom line in the globally connected world. USA: McGraw-Hill Mail Online (2015) Premier League set for £3bn windfall from global TV rights as rival broasdasters slug it out to screen superstars [online] available from [03 December 2018] Marr, B. (2015) Big data: Using smart big data, analytics and metrics to make better decisions and improve performance. Hoboken: Wiley Mcdonald, H., Karg, A. J., & Leckie, C. (2014) ‘Predicting which season ticket holders will renew and which will not’. European Sport Management Quarterly 14 (5), 1–18 Michener, W. & Brunt, J. W. (2000) Ecological data design, management, and processing (Methods in ecology). Oxford: Blackwell Science 29
SJ Kang _ Data Analytics in Liverpool Football Club Millward, P. (2013) ‘New football directors in the twenty-first century: profit and revenue in the English Premier League’s transnational age’. Leisure Studies 32 (4), 399–414 Mullin, B. J., Hardy, S., & Sutton, W. A. (2014) Sport marketing, 4th edn. Champaign, Illinois: Human Kinetics Nishio, T., Larke, R., Van, H., & Harald, M. (2016) ‘Analysing the motivations of Japanese international sports-fan tourists’. European Sport Management Quarterly 16 (4), 487–501 Premier League (2018a) Clubs – Liverpool: season history [online] available from [17 November 2018] Premier League (2018b) This is Premier League. Unpublished booklet. London: Premier League Rascher, D. A., McEvoy, C. D., Nagel, M. A., & Brown, M. T. (2007) ‘Variable ticket pricing in MLB’. Journal of Sport Management 21, 407–37 Rookwood, J. & Chan, N. (2011) ‘The 39th game: fan responses to the Premier League’s proposal to globalize the English game’. Soccer & Society 12 (6) 897–913 30
SJ Kang _ Data Analytics in Liverpool Football Club Ruivo, P., Oliveira, T., & Mestre, A. (2017) ‘Enterprise resource planning and customer relationship management value’. Industrial Management & Data Systems 117 (8) 1612–1631 Samat, M., Hashim, H., & Yusoff, R. (2015) ‘Endorser Credibility and Its Influence on the Attitude Toward Social Media Advertisement in Malaysia’. Review of Integrative Business and Economics Research 4 (1), 144–159 Sandomir, R. (2009) ‘Yankees Try New Strategy to Market Premium Seats. (Sports Desk) (New York Yankees)’. The New York Times 158 (54555), 11 Schreyer, D., Schmidt, S.L., & Torgler, B. (2018) ‘Predicting season ticket holder loyalty using geographical information’. Applied Economics Letters 25 (4) 272–277 Severini, T. A. (2014) Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports. London: Chapman & Hall SportsPro (2018) Report: Liverpool set to expand Anfield again [online] available from [25 November 2018] Stander, F. W., Van Zyl, L. E., & Motaung, K. (2016) ‘Promoting fan engagement: An exploration of the fundamental motives for sport consumption amongst premier league football spectators’. Journal of Psychology in Africa 26 (4), 309– 315 31
SJ Kang _ Data Analytics in Liverpool Football Club Statflux (2018) @liverpoolfc – Liverpool Football Club [online] available from [16 November 2018] Statista (2018) Clubs of the English Premier League rank by average attendance in the 2017/18 season. Unpublished booklet. Germany: Statista Surma, J. (2011) Business intelligence making decisions through data analytics, 1st edn. New York: Business Expert Press TalkSports (2017) Which current Premier League club sold the most 2016/17 season tickets? All 20 revealed and ranked [online] available from [28 November 2018] Telegraph (2018) Liverpool’s new main stand earned club extra £12m last year [online] available from [19 Novermber 2018] This is Anfield (2015) 99,000 tourists visited Anfield in 2014 (almost 4,000 per match), says report [online] available from [2 December 2018] 32
SJ Kang _ Data Analytics in Liverpool Football Club This is Anfield (2016) “Pure greed” – Liverpool fans react to FSG’s new Anfield ticket prices [online] available from [23 November 2018] This is Anfield (2018) Exclusive: Liverpool FC to announce Anfield Road extension plans later this year [online] available from [16 November 2018] Vale, L. & Fernandes, T. (2018) ‘Social media and sports: driving fan engagement with football clubs on Facebook’. Journal of Strategic Marketing 26 (1), 37–55 Van Riper, T. (2012) ‘Stadium stuffer. (Bernie Mullin, Aspire Group) (Company overview)’. Forbes 190 (2), 64–65 VoiceBox (2018) Global fan base [online] available from [20 November 2018] William, H. D. & Ephraim, R. M. (2003) ‘The DeLone and McLean Model of Information Systems Success: A Ten-Year Update’. Journal of Management Information Systems 19 (4), 9–30 33
You can also read