finnish sport sponsorship and sponsored social media content
TRANSCRIPT
Estonian Business School
Department of Marketing and Communication
FINNISH SPORT SPONSORSHIP AND SPONSORED
SOCIAL MEDIA CONTENT
CASE: LIIGA ICE HOCKEY TEAMS
Master’s Thesis
by
Laura Peltonen
Supervisor: Katri Kerem, PhD
Tallinn 2016
ii
I herewith declare that I have written the Master’s Thesis independently. References
have been indicated for all the publications, claims, opinions and different sources by
other authors.
April 18.5.2016 ……………………./Laura Peltonen/
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DEDICATION
I would like to dedicate this thesis to my Juhana, of course.
…
I would like to thank my family, my friends, and my colleagues
who have always been there to support my dreams.
Also, I would like to especially thank Emmi who is always there for a friend.
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TABLE OF CONTENTS
DEDICATION .............................................................................................................. iii
LIST OF TABLES ........................................................................................................ vi
LIST OF FIGURES ..................................................................................................... vii
ABSTRACT ................................................................................................................ viii
INTRODUCTION ......................................................................................................... 1
1. REVIEW OF LITERATURE .................................................................................... 4
1.1. Sport Marketing ................................................................................................... 4
1.1.1. Definition of Sport Marketing ...................................................................... 4
1.1.2. Sport Marketing and Social Media ............................................................... 6
1.2. Sport Sponsorship ............................................................................................... 7
1.2.1. Definition of Sport Sponsorship ................................................................... 7
1.2.2. Sponsorship Process ..................................................................................... 8
1.3. Social Media and Marketing ............................................................................. 13
1.3.1. Definition of Social Media ......................................................................... 13
1.3.2. Social Media Marketing ............................................................................. 13
1.3.3. Overview of the Social Media Platforms.................................................... 15
1.3.4. Marketing Measurements in Social Media ................................................. 18
1.4. Sport Sponsorship in Social Media ................................................................... 20
1.4.1. Sports Consumers in Social Media ............................................................. 20
1.4.2. Sponsored Content in Social Media ........................................................... 22
2. MATERIALS AND METHODS ............................................................................. 24
2.1. The Field of Study ............................................................................................. 25
2.1.1. Finnish Sponsorship Market ....................................................................... 25
2.1.2. Case: Liiga Ice Hockey Teams ................................................................... 27
2.2. Research Methodology and Design ................................................................... 28
2.2.1. Research Sample ......................................................................................... 31
2.2.2. Definition of the Data ................................................................................. 33
2.2.3. Data Collection ........................................................................................... 35
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2.2.4. Data Analysis .............................................................................................. 38
3. RESULTS AND DISCUSSION .............................................................................. 41
3.1. Results ............................................................................................................... 42
3.1.1. Liiga Ice Hockey Teams’ Sponsored Social Media Content ...................... 42
3.1.2. Sponsored Social Media Content and Engagement .................................... 44
3.1.3. Benchmark results: NHL Ice Hockey Teams ............................................. 46
3.1.4. Engaging Factors of Sponsored Social Media Content .............................. 50
3.2. Discussion ......................................................................................................... 55
CONCLUSIONS .......................................................................................................... 59
REFERENCES ............................................................................................................ 61
APPENDIXES ............................................................................................................. 70
1. The number of collected sponsored content posts per ice hockey team in different
social media platforms ............................................................................................. 70
2. The sizes of the social communities of Liiga ice hockey teams in Twitter,
Facebook and Instagram. .......................................................................................... 71
3. The quantitative data collection tool. ................................................................... 72
4. The qualitative data collection tool. ..................................................................... 73
5. Published sponsored content posts and average engagement rate per social media
platform (Liiga teams) .............................................................................................. 74
6. The amount of published sponsored content posts by content type. .................... 75
7. Top 10% of the sponsored content posts with the highest engagement rate (Liiga
teams) ....................................................................................................................... 76
8. Bottom 10% of the sponsored content posts with the lowest engagement rate
(Liiga teams) ............................................................................................................ 77
9. Example content: Behind the scenes .................................................................... 78
10. Example content: Charity campaigns ................................................................. 79
11. Example content: Fans meet players .................................................................. 80
12. Example content: Consumer and company competitions .................................. 81
13. Example content: Conditional Benefits .............................................................. 82
14. Example of inconsistent content: Competition .................................................. 83
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LIST OF TABLES
Table 1. Social media platform types and different social media platforms................ 16
Table 2. Liiga and NHL ice hockey teams’ origins ..................................................... 28
Table 3. Liiga and NHL ice hockey teams’ social communities and the number of
followers in January 2016 ............................................................................................ 32
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LIST OF FIGURES
Figure 1. Blueprint for Strategic Sponsorship. .............................................................. 8
Figure 2. Sponsorship Process model ............................................................................ 9
Figure 3. Communication channels used to leverage sponsorship programs in 2013 . 12
Figure 4. Comparison of Nordic Sponsorship Markets from 2009-2014 .................... 25
Figure 5. Research Design ........................................................................................... 30
Figure 6.The data collection schedule 2015-2016. ...................................................... 36
Figure 7. Distribution of Liiga and NHL ice hockey teams’ sponsored content posts
per platform .................................................................................................................. 37
Figure 8. The number of different types of sponsored content posts Liiga and NHL ice
hockey teams published in different social media platforms. ...................................... 38
Figure 9. Published sponsored content posts and the average engagement rate (%),
Liiga ice hockey teams ................................................................................................. 42
Figure 10. The number of different types of sponsored content posts Liiga ice hockey
teams published on different social media platforms................................................... 44
Figure 11. Liiga ice hockey team specific engagement rate(av) by social media
platform ........................................................................................................................ 45
Figure 12. The average of engagement each different content type received in
different social media platforms. ................................................................................. 46
Figure 13. The monthly average of published sponsored social media content posts
and the average engagement rate, Liiga and NHL ice hockey teams .......................... 47
Figure 14. The number of different types of sponsored content posts NHL ice hockey
teams published on different social media platforms................................................... 48
Figure 15. Comparison of Liiga and NHL ice hockey teams’ social media platform
specific engagement rates (average) ............................................................................ 49
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ABSTRACT
Peltonen, L. Finnish Sport Sponsorship and Sponsored Social Media Content, Case:
Liiga Ice Hockey Teams, Estonian Business School, Tallinn 2016, 91 pages, 15 figures,
3 tables, 72 sources, in English.
SPORT SPONSORSHIP, SOCIAL MEDIA MARKETING, SPONSOR, RIGHTS-
HOLDER, SPORTS CONSUMER, SOCIAL MEDIA CONTENT, SOCIAL MEDIA
ENGAGEMENT.
In Finnish sports marketing sports organizations' social media networks are used to
connect sponsoring brands with the fans. The main objective of this thesis is to help
rights-holders and sponsors to recognize and create engaging sponsored social media
content that generates desired reaction and engagement among the target audience. This
thesis is a case study that investigates how different content factors affect the
willingness of Finnish sports consumers to engage with sponsored content posts
published by the rights-holders. The research focuses on investigating sponsored posts
published by Liiga ice hockey teams on their social media platforms and the reaction
they create among the target audience. The case organizations, Liiga ice hockey teams,
are 15 Finnish ice hockey teams that compete in Liiga, Finnish top professional ice
hockey league. To offer an international benchmark to the research also three NHL ice
hockey teams and the sponsored posts published on their social media platforms are
included.
The research was conducted by analysing the collected social media content posts with
explanatory sequential mixed research method which combines both quantitative and
qualitative methods. Based on the research results suggestions and recommendations
are given on how sponsored social media content could be developed and targeted more
effectively.
INTRODUCTION
Social media has been an important part of sports marketing already for several years
and one of the most important trends in sports sponsorship. In Finnish sports marketing,
social media is enabling different sports organizations and athletes to reach their fans
easily through their own networks. Social media platforms are used to share
information, to interact and to entertain the fans. Sports organizations’ social media
networks can also be used to connect sponsoring brands with the fans. When social
media is used systematically as an interaction channel it can bring sponsors closer to
their target audiences with clear relevance creating a meaningful engagement. However,
creating higher target audience engagement requires sponsors and rights-holders to
cooperate closely in order to create added value through sponsorship activations. The
key to the success lies in understanding what kind of sponsored content triggers
meaningful target audience engagement. (IEG 2015)
In Finland sports sponsorship is an important source of revenue for sports organizations
and because of this one would assume that sponsors would be exploiting the possibilities
offered by social media (Koljonen 2012, 29). However according to research conducted
in 2012 it was found that less than 50% of active Finnish sponsors use social media as
a sponsorship activation channel (Sponsorointi & Tapahtumamarkkinointi ry 2012).
One reason behind the reluctant use of social media for sponsorship activations may be
the difficulty in recognizing and creating content that would benefit all the stakeholders
involved; the sponsor, the rights-holder, and the sports consumer.
The main objective of the thesis is to provide an answer to the main research problem;
what kind of sponsored social media content, published in the rights-holders’ social
media platforms, is the most engaging among the Finnish sports consumers? The
analysis is conducted on the sponsored social media content posts published on the
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social media platforms of Liiga ice hockey teams and analyzed comprehensively by
including sponsor, rights-holder, and sports consumer aspects. To offer an international
benchmark to the results secondary research objects, three NHL ice hockey teams, were
added to the research. There has not been similar research in this scale carried out and
published on this particular topic of the Finnish sports market.
Following research questions were created to frame and specify the research approach
of this study:
1. Which social media platform and what content type is the most used for
publishing sponsored social media content among the Liiga and ice hockey
teams?
2. What kind of similarities and differences the most and the least engaging
sponsored content posts of Liiga ice hockey teams have?
3. What kind of similarities and differences the most engaging sponsored content
posts of Liiga and NHL ice hockey teams have?
4. What kind of content factors affects the sports consumers' willingness to engage
with sponsored social media content?
The thesis intends to help rights-holders and sponsors to recognize and create engaging
sponsored social media content that generates the desired reaction among the target
audience. Useful and authentic sponsored social media content is able to offer value to
the sports consumers, engage the sports consumers and favourably influence their
perception of the sponsor. However, the creation of such content requires knowledge of
the target audience, clear sponsorship objectives and cooperation between the sponsor
and the rights-holder.
The author has reviewed and analyzed previously conducted researches and academic
journals on the topics of sports marketing, sports sponsorship, and social media
marketing. The theoretical overview can be found from the chapter 1. The research was
conducted in the form of a case study by combining both quantitative and qualitative
data analysis. The research methodology is introduced in chapter 2. The research results
are based on sponsored social media content posts published by Liiga and NHL ice
hockey teams. The results of the research and discussions can be found from the chapter
3.
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As social media is still rather new and fractionally exploited in the Finnish sports
sponsorships, this research is able to offer a deeper understanding of how Finnish sports
consumers react to sponsored social media content in different social media platforms.
The research analyzes sports consumers' interest and preferences when it comes to
sponsored social media content they receive from the social media platforms of their
favourite sports teams. Research on this topic is needed to recognize what kind of
sponsored social media content is able to offer value to the sports consumer and at the
same time benefit the sponsor and the rights-holder. For the sponsors, the research can
give an understanding of what is the most engaging way to reach their target audience
through the rights-holders' social media platforms and create a memorable and positive
impression. At the same time, the research clarifies the role the rights-holder has in
enabling the development of the sponsored content.
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1. REVIEW OF LITERATURE
1.1. Sport Marketing
In this chapter, the concept of sports marketing will be introduced. The main purpose is
to understand how sports marketing has evolved due to the changes in consumer
behaviour and technological development in the business environment. The main
opportunities and challenges sports marketing is facing at the moment will be also
discussed. Sports marketing could be described as a result of growing global sports
industry that through the years of evolvement has started to require even more structured
and reasoned management processes. Processes that are specially designed for such an
industry that sports have grown to be and for such that keeps on adapting according to
the emerging changes (Shilbury et al. 2009, 15).
The main focus of sports marketing is to sell and develop sport as a product to
consumers. The means of marketing are endless and vary from branding to advertising,
merchandising, promotion and events. The science of marketing itself does not separate
sports marketing from marketing in general but the sport as a product does (Sports
networker 2012). There are several special qualities that make sports special as a
product and for that reason sport marketing requires certain abilities from the marketer.
For the marketer sports can be an unpredictable and uncontrollable product. At the same
time sports could be describes as a special, emotional and even very personal experience
for the consumer (Mullin et al. 2014, 20).
1.1.1. Definition of Sport Marketing
According to Mullin, Hardy, and Sutton sports marketing could be defined as following:
Sports marketing has developed two major thrusts: the marketing of sports products
and services directly to the consumer of sport and the marketing of other consumer and
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industrial products or services using partnerships and promotions with sports
properties. (Mullin et al. 2014, 13)
This definition is supported by the research of Fullerton and Merz (2008, 2). They also
divide the concept of sports marketing into the marketing of sports and marketing
through sports. Marketing of sports is usually used by sports organizations which aim
to secure and develop the position of their sport. In comparison marketing through sport
involves partnerships with companies in the form of sponsorship. Sponsorships enable
companies to exploit the sport in order to reach a specific target audience. (Shilbury et
al. 2009, 247) This definition is also supported by Lefever who defines sponsorship as
“the process in which companies make use of popular and alternative sports, and the
athletes prominent within those sports, to connect with consumers.” (Lefever 2010, 11)
Based on these definitions of sports marketing has three main stakeholders that need to
be considered. In the heart of these stakeholders are the consumers. In the context of
the sports marketing, the consumers could also be called sports fans. There are many
different levels of being a fan but the simplest way to divide fans could be separating
them into two groups. First group is consisted of fans who are consumers interested in
the sport and follow it on some level and the second group consists of fanatics who
rigorously attend the sports events and follow the sport actively.
The second stakeholder group consists of the actual sports organizations, such as sports
teams, which aim to maintain and develop the sport they represent. All sports
organizations are in competition of the time and money of the consumer with other
forms of sports and entertainment. Sports organizations are marketing the sport to the
consumers (Shilbury et al. 2009, 248). The existing fans and fanatics are the target
audience that sports organizations are able to reach with less effort than for example
people who are just interested of the sport but not actively following or participating.
Fans and fanatics of the sport form the actual core audience of the sport. In the
sponsorship partnerships, sport organizations represent the rights-holders.
The last stakeholder group consists of different organizations that are the sponsors of
the sport or the partners of the sports organization. Most of the sponsor organizations
are different companies marketing their brand through the sport to the consumers
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(Mullin et al. 2014, 233). Their aim is to reach their target audience through the chosen
sport and advertise their products or services to them. There are several ways to activate
sponsorship but the main idea is that the sponsor receives the access to the exploitable
commercial potential that the rights-holder is able to offer. (Belzer 2013) This
commercial potential can be much more diverse than a company's logo presented in a
sports context (Desbordes and Richelieu 2012, 49).
1.1.2. Sport Marketing and Social Media
The emergence and expansion of the new media and the decline of the traditional media
have forced the marketing communications to evolve and change. New media has many
forms and channels such as social media, blogs, search engine optimization, content
marketing, video marketing, apps and websites (Perrin 2012). Sports marketing still
seems to be adjusting to these changes as the fragmentation of the media has created a
lot of challenges as well as opportunities for the sports marketers. According to
Santomier’s analysis:
“New media facilitates the aggregation of consumers across multiple platforms on a
global scale while communicating a brand’s message and building relationships with
consumers.” (Santomier 2008, 26)
It could be said that sports marketing has changed from simple to more complex and
from marketing to communication. The once so well selling media exposure of sports
is not enough for sponsors anymore. To exist, modern sponsorship investments require
the permission to exploit the emotional impact of the sport in order to build brand
awareness and provide content possibilities that create proved returns, according to
Chris Conway (2014).
A simple TV-commercial or signboard visibility in a broadcasted sports event as a
return to sponsorship investment used to be enough for sponsors. However, as the way
sport is consumed has changed so has the ways it should be produced, marketed and
delivered. Sports marketing is now integrating multiple channels and communicating
instead of informing. These changes mean that the marketing is more targeted and even
created together with the consumer. If the interaction between consumer and brand is
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through integrated marketing channels, the brand is able to reach larger audiences and
exploit sport longer and more effectively. (Santomier 2008, 25)
Social networks have taken an important role as a platform of interaction in the modern
sports marketing as consumers choose to be involved. For consumers, this means not
only the possibility of a more personal relationship with sports teams or individual
athletes but also with other fans and sponsoring brands. Social network platforms have
created brands a better way of understanding their own brand image and how to affect
it. (PWC 2011)
In 2014, Fidelman listed five ways sports market industry is about to change forever.
Most of the major changes have to do with new media and especially with social media.
He forecasts that sponsorships, in general, are moving to the online environment as the
actual marketplaces are moving there. He also emphasizes the importance of social
media influencers in the sense of product sales. Social media influencers have straight
channel to their followers who are in this case the potential customers. In the most
optimistic situation, the consumers are willing to invite the brand into their lives and
they treat the advertisements rather as entertainment. Eventually, online environment
will enable accurate ROI calculations where the engagement and impact play the key
roles. (Fidelman 2014)
1.2. Sport Sponsorship
In this chapter, the concept of sport sponsorship is introduced in depth. The main
purpose is to define sponsorship, understand the basic sponsorship process, introduce
the stakeholders involved, list the main goals of the cooperation and the most effective
means to achieve them.
1.2.1. Definition of Sport Sponsorship
In the chapter 1.1.1. the concept of Sports Marketing was defined and divided into two
dimensions: marketing of sport and marketing through sport (Fullerton and Merz 2008,
2). Sponsorship is marketing through sport and business relationship forms the core of
this marketing communication platform. Sponsorship relationship exists between a
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provider of funds (sponsor) and individual, event or organization (rights-holder) in
search for mutual benefits. (Lagae 2003, 11) (ICC 2003) European Sponsorship
Association (ESA) has defined sponsorship in the following way:
Any commercial agreement by which a sponsor, for the mutual benefit of the sponsor
and sponsored party, contractually provides financing or other support in order to
establish an association between the sponsor’s image, brands or products and a
sponsorship property in return for rights to promote this association and/or for the
granting of certain agreed direct or indirect benefits. (ESA 2014)
Marketing industry associations ESA and ICC share the same comprehensive definition
of sponsorship and emphasize the mutual benefits of the cooperation. Wim Lagae and
David Shilbury emphasize the business nature of sponsorship and the fact that
sponsorship should not be confused with charity or patronage in any level. Sponsorship
always seeks for mutual benefits for the parties involved and is a formation of a
reciprocal relationship. (Shilbury et al. 2009, 246; Lagae 2003, 35)
1.2.2. Sponsorship Process
The sponsorship process offers understanding of the overall partnership and its effects
to the stakeholders and to the target audience. The theories combined in this chapter are
built on Kodadek’s (2014) Blueprint for Strategic Sponsorship and on Liukkonen’s
(2014, 19) Sponsorship process model. Kodadek’s model consists of six separate but
connected steps presented in Figure 1. This model will be the base for the structure of
this sub-chapter due to its coherent representation of the sponsorship process.
Figure 1. Blueprint for Strategic Sponsorship.
Source: Janus Kodadek. (online source) http://www.slideshare.net/jkodadek/blueprint-
for-strategic-sponsorship-26358392 (21.09.2015). Drawing by the author.
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Liukkonen's sponsorship process model in Figure 2. presents the sponsorship process
that includes both stakeholders, the sponsor, and the rights-holder. The model describes
the process from the point of searching a partner until the development of the co-
operation (2014). What makes this model important is the visualization of the steps
before the co-operation and during the co-operation. The model visualizes clearly the
importance of the starting point of the co-operation between the rights-holder and the
sponsor.
Figure 2. Sponsorship Process model
Source: Liukkonen (online source)
https://publications.theseus.fi/bitstream/handle/10024/74321/Liukkonen_Sofia.pdf?se
quence=1 (08.10.15). Drawing by the author.
When Kodadek’s and Liukkonen’s models are compared, it is possible to find similar
proceeding of steps with slightly different terms. The meaning of these terms is opened
next.
Authenticate and Correlate
These first steps, named as authenticate and correlate by Kodadek (2014), consist of
defining sponsorship objectives and understanding the connection between the sponsor,
the target audience, and the rights-holder. Usually in the beginning of the process the
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sponsor and the rights-holder are mapping out the suitable partners individually
(Liukkonen 2014, 19). In many cases the first initiative to the sponsorship comes from
the rights-holder. For this reason the ability to offer competitive partnership possibilities
to the potential sponsor is essential in the market where companies receive multiple
sponsorship proposals (Arthur et al. 1997, 2).
After finding the suitable partner, the main purpose of the correlation is to ensure that
the planned sponsorship enables the parties involved to reach their objectives equally.
The compatibility of the sponsor’s brand and the brand of the rights-holder can be called
as sponsor fit (Ipsos Reid 2014). Compatibility of sponsorship has an important role in
communicating the intended message to the target audience. The compatibility ensures
that the sponsor’s brand image matches with the values, interests and lifestyles of the
target audience (Lee and Cho 2009, 5). Brand should be able to receive a detailed target
audience profile from the rights-holder and for this reason, rights-holder should know
their own product and audience (Ratilainen 2015).
In sports sponsorships, sponsor's objectives are usually focused on two main goals
which are brand building and sales growth. Brand related objectives can involve
improving or changing the brand image in the minds of the consumers. The objectives
can also include corporate responsibility objectives or new positioning strategies.
Positioning strategies aim to help the sponsor to stand out from the competitive brands
by reaching new or larger audiences. Eventually, all the activations which have been
conducted in order to achieve these objectives also aim to increase sales. However, there
can be a distinction between brand building objectives and sales growth objectives.
Sponsorship may enable the brand to reach new target audiences and if the sponsorship
is conducted successfully it way lead to sales growth. (Shilbury et al. 2009, 63)
Activation Plan and Collaboration
Activation plan is an essential part of the sponsorship process as it ensures that the actual
activations are able to transmit the wanted message about the brand to the target
audience. The main goal of the sponsorship activations is to show that the brand is
committed to the rights-holder and to the audience (Kodadek 2014). Sponsorship
activation planning could be also described as sponsorship agreement negotiation
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(Liukkonen 2014, 19). At this point, the interaction and collaboration between the
sponsor and the rights-holder could not be emphasized enough as it creates the
opportunity for the brand to create an actual bond with the audience. In practice, this
collaboration includes creating activations together with the rights-holder to ensure the
benefits to all stakeholders involved. When activations are created in collaboration they
are more likely to serve the goals of the sponsor and rights-holder as well as enhance
the experience of the consumer in the most natural way. (Kodadek 2014)
Best practice activations are able to present the value brand is offering to the consumers
and engage with them in a natural unforced way. The main purpose of the activations
should be to enhance the consumer experience in some way or decrease the negative
aspects of the experience. Planning should always be built on the sponsorship goals to
ensure the possibility to actually succeed. Planning also includes deciding on the
measurement tools for the evaluation process. (Kodadek 2014)
Activation and Evaluation
The activation is the part of the sponsorship process where the sponsorship comes to
live and meets the target audience (Kodadek 2014). Very rarely there is a situation
where one-time activation is able to reach the target audience as there are usually several
types of consumer groups among the audience. For this reason, it is necessary to take
all the different groups into consideration and conduct activations that do not alienate
any of these groups. (Goodman 2014) Multiple communication channels offer the
sponsor a great opportunity to connect with different types of target groups and in
Figure 3 IEG has listed the most popular marketing communication tools used to
activate sponsorships.
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Figure 3. Communication channels used to leverage sponsorship programs in 2013
Source: IEG (online source) http://www.sponsorship.com/iegsr/2013/01/28/Best-
Practices--Sponsorship-Activation.aspx (10.9.2015). Drawing by the author.
The importance of the ability to engage and interact with the target audience has become
more important and it could be also described as the new norm of a successful
sponsorship activation. The role of social media platforms in sponsorships has increased
due to the consumers' ability to engage with the content and co-create the content. At
the same time, the evaluation of the sponsorship activations is easier than ever with
available digital tools. The evaluation of sponsorship should be consistent from the first
activation till the end. At this point of the sponsorship process, the pre-established
objectives act as the measurement of the ROO (return on objectives) (Kodadek 2014).
Sponsorship success can be evaluated based on the activation channel and the objective
of the activation. The importance of matching the pre-established objectives with
suitable measurements in the activation planning phase is vital to conduct the evaluation
of the sponsorship.
The purpose of the evaluation is to find out whether the sponsorship investment to the
activations was profitable or not. Liukkonen introduces development as the final step in
the sponsorship process model and this step leans heavily to the evaluation results
(Liukkonen 2014, 19). It is impossible to evaluate whether the sponsorship should be
continued or not without measurement results. Measuring and evaluating is the base for
long-term sponsorship partnerships which are developed to evolve according to the
consumer needs and to reach higher goals as the partnership continues.
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1.3. Social Media and Marketing
In Chapter 1.1. current trends in sports marketing were discussed and social media had
a special place among them. In this subchapter social media, social media marketing,
and social media networks are defined from the marketer’s point of view.
1.3.1. Definition of Social Media
Social media has developed fiercely in the recent years and it is still changing
constantly. Social media’s core identity and effect could be defined as “the
democratization of content and the shift in the role people play in the process of reading
and disseminating information (and thus creating and sharing content)” (Anjum et al.
2012, 96). Many people consider social media as a very modern creation of the Internet
boom era even though its development started already in the 70's and 80's. Nevertheless,
the late 90's was the time of the so called explosion of Internet and the beginning to
social media networking on the large scale. The development of the social media is
usually linked to new technological innovations and creation of new web applications.
A good example of the technological development is the development of mobile devices
and mobile computing which has made the use of social media even more
comprehensive in people's lives. (Digital Trends 2014)
Social media includes a wide range of different web applications that were established
to allow the individual web users to create and exchange content such as information,
knowledge, and opinions in the form or words, pictures, videos and audios within their
communities (Safko et al. 2009, 4; Weber 2009, 4-6). Social media was introduced in
the Web 2.0 and as a result was born a new world of unpaid media (Kaplan 2010, 59-
61). Based on these definitions it is possible to say that social media is the enabler of
interaction or two-way communication between consumers and marketers. And for this
reason the traditional marketing rules do not apply as such in social media.
1.3.2. Social Media Marketing
Social media marketing has a lot of similarities with traditional marketing. However,
interactivity, the role of the individual consumer, behavioural complexity of the
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consumer and a number of different channels makes the social media special and
different. What is common to all the different definitions of social media is the emphasis
on advertising in the form of discussion and sharing over the Internet. In the following
definition, Gunelius mentions marketing means, purposes, and tools to define the
concept.
…any form of direct or indirect marketing that is used to build awareness, recognition,
recall, and action for a brand, business, product, person, or other entity and is carried
out using the tools of the social Web, such as blogging, micro-blogging, social
networking, social bookmarking, and content sharing.” (Gunelius 2011 ; Anjum et al.
2012, 97)
Gunelius’ definition has a practical approach and it gives a clear understanding of why
and how social media marketing is conducted. Nevertheless, this definition does not
emphasize nor explain what kind of influence marketer wants to create among
consumers and what the preferred reaction is. Chary’s explains that the social media is
a process where the aim of the marketer is to gain visitors to their web page or gain
attention with their content that would preferably trigger a reaction where the reader
would share and communicate the message within their social networks (2014, 1).
When this process is successful it enables the content released by the brand reach a lot
more consumers and reach the marketer's goals through electronic word of mouth (E-
WoM).
The definitions give an understanding of the basic meaning behind the concept of social
media marketing. However, in order to get a deeper understanding it is necessary to
analyse the benefits and the challenges of social media marketing. One way to do this
is to compare the concept of social media marketing to the traditional marketing. The
main element that has increased due to the emergence of social media is the level of
engagement. The social media tools and platforms used together with the chosen
message thrive for creating higher engagement level within the target audience (Page
2011). One of the major traits of social media marketing is putting the focus on building
relationships with target audiences. This means that the social media marketers focus
on generating and increasing engagement above all (Guneysel 2014). Return on
investments is a commonly used in traditional marketing but it has lost its purpose in an
environment where all the efforts are used to connect with the potential customer by
being present where they are and acting as the facilitator for communication,
15
collaboration, education and entertainment (Safko 2009, 4). This can also be seen from
the development of brand websites which used to be like printed advertisements with
technological features. Nowadays most brand websites facilitate and encourage
discussion instead of just conveying a wanted message.
More and more often businesses include social media as a part of their integrated
marketing communication in order to connect with their target markets (Anjum 2012,
97). This development can also be seen in the annual marketing budgets where social
media is increasing its share (Guneysel 2014). Traditional marketing still exist strong
but as the society adopts new behaviours there is a major challenge for the marketer to
adjust to the changing consumer behaviour (Page 2011).
Consumers on social media do not want to see marketing or hear about the brand but
instead, they are looking for inspiration to their lives, solutions to their problems and
just interesting information (Safko 2009, 6). Marketers who are able to help their
followers find solutions instead of trying to sell their products or services are usually
the ones who gather the appreciation, engagement and loyalty among the customers.
Social media should be used first of all to connect with a potential customer and not for
selling. One key benefit of social media is the instant feedback. You are able to learn
more and faster about your customers' needs and desires by following the conversation.
At the same time if you exploit the social media analytics you gain insights of your
customer, of the potential customers and even of the people who you should not waste
your marketing efforts on (Chary 2014, 3).
1.3.3. Overview of the Social Media Platforms
The platforms chosen to be defined and analysed in this subchapter are based on the
results of Sponsor Insight's annual Navigator-research which's sample size and structure
represents the population of Finland. In the research, the respondents were asked to
answer the question of which social media platforms they use at least weekly. Based on
the research Facebook is the most used platform with 79% of the respondents, the next
most popular is YouTube with 49% of the respondents and in the third place are both
Twitter and Instagram with 11%. (Sponsor Insight 2015) The only one of these four
16
channels I will only introduce very briefly is YouTube as its role in the research will
not be as important as the others’.
There exist several different types of social media platforms and like you are able to see
in Table 1 under each type, there is a great number of different individual platforms.
The number of different platforms, as well as platform types, is increasing constantly
as new platforms emerge.
Table 1. Social media platform types and different social media platforms
Myers, A. (2012) Web source: http://decidedlysocial.com/13-types-of-social-media-
platforms-and-counting/. (11.11.2015)
Facebook is one of the most popular social networking platform which had allowed
individuals as well as organisations to create their personal profiles since 2006.
According to Statista's (2015) statistics, there were 2,7 million Facebook users in
Finland in 2015 and it is estimated that the number will grow to 3 million users in three
following years. The main features of the platform are the ability to upload, review,
response to content and share others' content. The interaction happens by liking, sharing
or commenting content posts (Wallace et al. 2011). The main reason individuals join
and are active on Facebook is to keep in touch with their already existing friends (Boyd
and Ellison 2008).
17
According to Wallace et al. Facebook is used by brands to improve the brand image and
brand communications (2011). In sports marketing, this is often done by providing
information, pictures or promoting events to the fans and potential customers
(Witkemper et al. 2012, 171). On Facebook, as on any social networking site, marketers
should add advertisements with caution as it can be seen as invading into users' space
and time uninvited. First of all, in an environment with multiple other advertisers, there
is a risk of being unnoticed. According to research by Greenlight, 44% of Facebook
users choose to avoid clicking any links or posts that have been sponsored (Garun 2012).
For organisations, Facebooks offers free information on the organisations own page
statistics as well as demographic information about their followers (Wallace et al.
2011).
YouTube
YouTube is a video sharing platform that was launched in 2005. It allows users to
search, watch, share and edit videos. According to the Realtime Report's (2013)
statistics in 2013, YouTube was the fourth most visited website in Finland. YouTube is
used by individuals as well as organisations and brands.
Twitter is one of the most popular micro-blogging sites in the world which allows
individuals as well as organisations to create their personal profiles. It was established
in 2006 and it has grown steadily since then. In Finland Twitter has approximately 500
000 users (Sponsor Insight 2015). In Twitter, the interaction between the users is limited
by using a maximum of 140 characters per post. The limitation of the length of the
messages makes it a quick source of information when compared to other types of social
media platforms. Also posting pictures is possible as well as re-tweeting others' posts.
The idea behind limiting the length of the post is to create a platform where reading
information does not require too much effort. Twitter enables people to follow others
and this way by posting content the user is able to reach the followers. For organisations
and brands, Twitter is a suitable channel for informing their followers and other users
in real time. The aim often is to keep the Twitter users connected to the brand with
regular tweeting (Witkemper et al. 2012, 172).
18
Instagram is a photo-sharing mobile platform that was established in 2010 as a smart
phone app. According to several types of research in Finland approximately 11-15% of
internet users are using Instagram frequently (Sponsor Insight 2015) (Bennett 2014).
The platform allows individuals and organisations who have created their own profile
to upload, edit and share photos or short 15 second long videos with other users. The
platforms also allow users to publish the content simultaneously on Facebook, Twitter,
and other social media platforms. The interaction in Instagram is based on liking or
commenting on the shared photo or video content (Rouse 2012). What makes Instagram
different from Facebook or Twitter is the very simple usage and focus only on pictures
and short videos.
For organisations and brands who wish to do marketing on Instagram, there are two
options available. The first one is to create an own profile and gather own group of
followers of whom 100 per cent will receive your content to their Instagram feed. This
way you are able to reach users who have chosen to follow you and not push your
content to people who might not be interested (Cohen 2015). The second option is to
buy advertising space from Instagram and include your content randomly on individual
users' feeds. Recently advertisement content possibilities were included in Instagram.
This second option can be a risky investment as the reaction of users towards sponsored
content has been mostly negative (Rogers 2015).
1.3.4. Marketing Measurements in Social Media
In most cases the overall business goals of companies are to lower costs, increase
customer satisfaction and ultimately gain profits with the chosen tactics (Sterne 2010,
5) (Williams and Chinn 2010,6). However in order for brands to drive sales from social
media platforms it requires them to understand how these social media platforms
operate, what kind of marketing objectives can be achieved through them and how.
Social media platforms offer a lot of different kind of measurement opportunities and
analytical insights brands can exploit in order to analyse the success of their content or
19
social media campaigns. However, the problem of understanding of the numbers arises
if there is no comparison or context to them. In order to gain real metrics, brands need
to do comparisons within their own previous results and by comparing their results to
competitors. For this reason, the importance of context as well as defined objectives is
essential (Sterne 2010, 7). Social media platforms such as Facebook offers detailed
insights for their business users. However, when in need of comparison the businesses
should focus on analysing the open information they are able to receive from their
competitors from the platforms and compare these metrics.
According to Luke Chitwood (2013), there are five most important metrics to be tracked
when operating in social media and two of them are offered as public information in
social media platforms to anyone. The first measurement is reach, which means the
number of people you are able to reach with your content. The easiest way of tracking
the growth of your audience is to follow the progress of the amount of followers of your
organization's page. It is important to focus on the growth of the audience but also to
the number of followers leaving and trying to analyse the reasons for the progress.
The second metric is engagement and this metric measures the reactions of the audience
in numbers such as likes, comments, and shares based on the platform. The simple
number of engagement is not valid as a metric but instead, it is important to track the
average engagement rate. Simple average engagement rate can be used to make
comparisons between competitors ability to engage their audience. Average
engagement rate is calculated by dividing the total number of engagement per post with
the total audience (Smitha 2013). The number shows the percentage of followers who
engage with your content and who does not (Chitwood 2013). Engagement, however,
goes beyond numbers and requires further analysis from the businesses as one of the
most important customer insight is offered by consumer comments. The objective is to
gain an understanding of your audience preferences and create value accordingly. Based
on the discussions and interactions businesses are able to analyse whether the
engagement is positive or negative and react when required (Prager 2014).
One of the metrics Chitwood mentions is conversion rate. This metric tracks traffic from
social media to brand's website and a percentage of visitors who for example purchase
a product (Chitwood 2013). This way it is possible to track the number of leads the
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content published in social media is able to create. The conversion rate is available from
webpage analytical tools and social media platforms do not offer it as part of their
analytics. However, this is one of the most important metrics in order to measure the
effects of social media marketing to the company's revenues.
In social media, everything starts with a network the organization is able to gather and
the level of interaction it is able to inspire. That is why the most practical level of goals
in social media marketing should evolve around the followers and engagement. Prager
discusses in her article about the key performance indicators (KPI's) of social media
platforms. Key performance indicators help marketer to understand which measurable
metrics serve brand's larger goals. The first KPI's she introduces are the follower growth
and the conversion rate. A lot of followers alone do not serve any brand's ultimate goal
of increasing profits but it enables the brands to reach a number of people. It could be
stated that if a brand is able to increase the size of its network, it is also increasing its
reach and brand awareness. Nevertheless, the real challenge for the marketer is to
convert the reached consumers to its own website or web store to make a purchase that
will lead to the ultimate goal of increasing profitability. (Prager 2014)
1.4. Sport Sponsorship in Social Media
The goal of this chapter is to conclude what sponsors need to consider when creating
social media content to the right-holders' social media platforms. The chapter will start
with analysis of sports consumers' social media behaviour and motivations in order to
gain an understanding of how sponsors should approach them. The next analysis in this
chapter will focus on defining sponsored content and how to evaluate individual content
posts in terms of engagement.
1.4.1. Sports Consumers in Social Media
Defining sports consumer and sports consumer behaviour has been found difficult by
previous researchers. The difficulty arises from multiple different channels and ways to
experience sports (Stewart et al. 2003, 206). Usually, behavioural categories in sports
marketing are divided based on the consumers' interest and participation level when it
comes to the sport and more specifically to the team or athlete they support. According
21
to Williams and Chinn the main trait that categorizes sports consumer is his or her desire
and involvement level for a long-term relationship with the team or athlete (2010, 171).
This chapter focuses on analysing the behaviour of sports consumers who actively
follow their favourite sports teams in social media platforms. The aspects analysed
based on previous research are sports consumers' needs, wants and expectations when
it comes to the sports teams' social media content and especially sponsored content.
Also, the aim is to find out what content characteristics encourage sports consumer to
engage.
In 2014, Synergy conducted a research in cooperation with Loughborough University
that aimed to find out how young and tech-savvy sports fans behave in social media and
how they react towards different types of content. The research was conducted by
interviewing 500 sports fans aged between 16 and 25. Even though the sample
represents only small age group it is able to give some answers of sports fan behaviour.
It also provides some guidelines to sponsors on how to analyse their content based on
their objectives. The research sample was divided into three categories which were
massive fans, average fans and small fans based on the time devoted to the sports in
social media. The research results argued that male sports fans, in general, are more
valuable to the sponsors because they devote 22% more time on sports than women in
social media. According to the research a massive fan spends approximately two and a
half hours a day in social media and 72% of this time is spent on sports. When it comes
to the youngest participants it was found out that social media has a greater effect on
their fanship towards a sports team than with older participants. (Robinson and Saker
2014, 3-14)
The research was also able to find congruent needs and wants the respondents had when
it comes to the content in the social media platforms of the sports teams they follow.
The key drivers for these young consumers to use social media were the ability to
receive information immediately and as easily as possible. Unfortunately for sponsoring
brands less than 15% of the participants found branded content engaging. At the same
time the team's content was found engaging by 40%. According to the participants
branded content seems to lack authenticity and in-depth knowledge about the team and
the athletes. This in-depth knowledge was more likely to be offered by the team or the
athletes themselves. (Robinson and Saker 2014, 7-14) The lacking aspects of branded
22
content is actually the main characteristics of quality content according to definition by
Wysocki who researched the role of social media in sports communication (2012, 16).
One of the most important aspects increasing the authenticity of social media content
by sports marketers is the presence of shared values between the consumers, the team
and the sponsoring brands. (Williams and Chinn 2010)
The research of Robinson and Saker did not analyse actual content posts but instead
interviewed fans who actively used social media. However, the authors of the research
make a very clear suggestion to brands of how to find out what kind of content works
best for their objectives. "In order to understand how to make the most of the content
on these platforms, it is essential to understand which content sports fans find most
engaging” (Robinson and Saker 2014, 4). Companies who have previous experience in
sponsoring and creating branded content can actually find out what kind of content
engages their audience most efficiently by analysing the branded content against their
competitors. It should be remembered that there are differences between sports
consumers and their preferences as there are differences in sponsoring brands and their
objectives.
1.4.2. Sponsored Content in Social Media
Sonderman and Tran define sponsored content in a following way “content that takes
the form and qualities of the publisher’s original content and offers useful or
entertaining information as a way of favourably influencing the perception of the
sponsor brand” (Sonderman and Tran 2013).
Sponsored content should not be confused with advertorials, press releases or with
content marketing because first of all the goal of sponsored content is that the consumer
knows and appreciates the brand’s involvement. In other words sponsored content’s
goal is not to be hidden in the message. Secondly sponsored content puts the consumers’
interest before the brands interest and aims to be entertaining, useful or/and authentic
for the reader. Lastly sponsored content is not created nor published alone by the brand
but instead in close cooperation with the rights-holder. (Sonderman and Tran 2013). In
social media marketing branded content in practice appears among the right-holder's
own original content in the form supported by the platform. Social media platforms
23
have differences in the terms of content type opportunities but the most common types
are text, pictures, links and videos. (Wysocki et al. 2012, 16)
For sponsored content to be considered effective it is necessary to take the three main
stakeholder groups into consideration in the designing process. These stakeholder
groups are the rights-holder, the sponsor and above all the fans. IEG's article argues that
the success behind effective sponsored content is measured by how engaged fans feel
about it. They rationalize this by the fact that sponsoring brand is after attention and
impressions among a target audience it is only able to reach through the rights-holder's
social media platforms. At the same time, engaged fans are the only ones who are truly
able to offer the attention and impressions to the sponsors. (IEGSR 2015) This is why
the designing process of the sponsored content should always start by analysing the
target audience and finding a way to provide them value. In this equation, the rights-
holders holds the key to the target audience knowledge, to the channel to reach them
and to the background information about the team. Without the rights-holder, the
sponsor will not be able to design engaging sponsored content nor will it be able to
reach the audience.
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2. MATERIALS AND METHODS
This thesis is a case study that combines sports sponsor and sports consumer oriented
data in order to find answers to the research problem and research questions. The main
research problem of this study aims to find out what kind of sponsored social media
content, published in the rights-holders’ social media platforms, is the most engaging
among the Finnish sports consumers. The data collection has been conducted in social
media and both quantitative and qualitative research methods have been used.
The research method chosen for this case study is explanatory sequential mixed research
method that combines both quantitative and qualitative methods. In this case study the
quantitative research results were used to build detailed background of the case and then
qualitative content analysis was used to explain the findings in depth. (Creswell 2014,
19) (Macnamara 2005, 5) The main goal with combining the methods was the
assumption that “collecting diverse types of data provides more complete understanding
of a research problem than either quantitative or qualitative data alone.” (Creswell
2014, 19)
In this research, the publicly available data was collected from chosen social media
platforms manually and then organized and filtered. The process continued with
categorizing the data based on chosen attributes and then analysed based on chosen
themes (Aptel Research 2015). Social media offers numerical data suitable for
quantitative research as well as more complex content and behaviour related data
suitable for qualitative research. According to Tuten and Solomon (2014, 267), social
media research is often used to provide new ideas for marketers but also for assessing
how campaigns and brand communication is perceived by the target audience. The
focus of this research was on gaining insights of the sponsored content posts sports
teams publish in social media and how sports consumers react towards it. (Recourse
Center 2015).
25
The chapter 2.1. introduces the field of study and the research objects. In chapter 2.2.
the details of the research methods of the research, the research design, the sample of
the research, the data collection, and data analysis processes are further explained.
2.1. The Field of Study
This chapter introduces the background information of the case of the thesis. The
chapter begins with an overview of the Finnish sponsorship market and then continues
with the introduction of the research objects, Liiga and ice hockey teams.
2.1.1. Finnish Sponsorship Market
According to IEG's annual statistics, the sponsorship spending globally amounts up to
57,5 billion US dollars and is growing by 4.1% second year in a row. (IEG 2015) In
Finland, the sponsorship market has not been following the speed of global growth
trend. Finnish sponsorship research company Sponsor Insight has compared the size of
the Finnish sponsorship market to the Swedish and Norwegian markets. The
comparison between 2009 and 2014 can be seen in Figure 4 (Virkkunen 2015). The
growth of the sponsorship spending in the Finnish market has been almost non-existent
and dependent of yearly economic fluctuations. The size of the Finnish Sponsorship
Market in 2015 was 212 million euros (Hakola 2016).
Figure 4. Comparison of Nordic Sponsorship Markets from 2009-2014
Market development of Sweden, Norway and Finland between 2009 and 2014. Source:
Klaus Virkkunen, Sponsor Insight Finland. (20.09.2015) (reprinted with permission)
26
However, Finnish advertisers' association's annual research found out that in 2015 18%
of Finnish companies were planning to increase their sponsorship. This means the total
market has a possibility to grow in the following years. In Finland, the largest amount
of sponsorship spending is allocated to sports. According to Mainostajat (2015)
approximately 64% is allocated to sports when the rest is divided between culture and
for example social organizations. Among sports, the Finnish sponsorship market
favours ice hockey. Of the total sponsorship spending approximately 12% goes to ice
hockey and this is the largest percentage allocated to an individual sport. In 2014, the
Finnish companies sponsored ice hockey with approximately 45 million euros (Sponsor
Insight 2015).
The popularity of ice hockey among sponsoring companies is easy to explain by
comparing the popularity of different sports among the Finnish consumers. In Finland
ice hockey has been the most attractive sport for six years in a row according to annual
Sponsor Navigator research conducted by Sponsor Insight (Sponsor Insight 2015).
When the sport is popular among the general population it tends to have more fans.
Large audience encourages advertising through that particular sport as it enables brands
to reach larger audiences. Nevertheless, it is important to remember that popular sports
gather multiple sponsors and the sponsor impact may decrease as the consumer focus
spalls.
Sponsorship goals are closely related to the sponsorship executions and they have an
important role in defining the measurements of success. The primary goals of Finnish
sponsors are brand building, increasing the visibility of the brand, reach the target
audience and increase the sales (Virkkunen 2012). The main ways Finnish sponsors
measure their sponsorship results are visibility, sales, and their own brand awareness
measurements (Mainostajat 2015).
In 2015 approximately 57% of Finnish sponsors reached or exceeded their sponsorship
goals and only 7% admitted to having failed. According to these findings nearly 30%
of Finnish companies did not have any goals for their sponsorships. (Mainostajat 2015)
These results indicate that the companies with no sponsorship goals, might be struggling
to manage the overall sponsorship investments and the partnerships with the rights-
holders. There can be multiple reasons, such as the lack of overall integration of the
27
sponsorship or simply lack of time. Nevertheless, the lack of goals often indicates a lack
of measurements. Without measuring the performance of sponsorship activations, it is
impossible to know if the sponsorship investments ever returned as value.
Activations of the sponsorship are a way to create value for the consumer and make an
impact. The most popular way Finnish companies activate their sponsorship is to exploit
the rights-holders' available channels as well as their events or other communication
channels. At the same time, among the sponsoring companies 16% do not exploit or
activate their sponsorship deals in any way. In 2012, research found out that less than
50 per cent of the Finnish sponsoring companies used social media to activate their
sponsorships (Virkkunen 2012). Some of the companies expect that the brand visibility
through the sponsorship in social media is managed by the rights-holder in their social
media platforms (Mainostajat 2015).
This leads us to the Finnish rights-holders and their role in the sponsorship. In 2015,
Sponsor Insight conducted a research of what Finnish companies expect from the sports
organisations they sponsor. Finnish companies expect and wish for active partners
whom with they are able to communicate systematically and who are able to offer them
tailor-made partnership deals with sponsorship activation ideas. The responsibility of
the rights-holders lies on enabling the brand to meet the consumer and offering the most
natural ways for the brand to create value for the consumer. (Ratilainen 2015)
2.1.2. Case: Liiga Ice Hockey Teams
Liiga, originally named SM-Liiga, has been the Finnish top professional ice hockey
league since 1975. Liiga consists of 15 ice hockey teams competing of the Finnish
Championship in ice-hockey. Liiga is an organization that organizes the championship
matches and is owned by the playing teams. The Liiga-season begins annually in
September and ends in April. Each team plays approximately 60 matches per season
and six best teams proceed to the playoffs.
The fifteen teams playing in Liiga in the season 2015/2016 are located in different parts
of Finland and the teams and their locations are listed in Table 2. All the fifteen ice
hockey teams negotiate their own sponsorship agreements with companies and
28
organizations. It should be noted that Liiga also as a Finnish Championship organizer
has its own sponsors but teams are not taking any part in these negotiations. All the
teams have their own websites as well as social media pages in several platforms, such
as Facebook, Instagram, Twitter, and YouTube. (Wikipedia 2016)
Table 2. Liiga and NHL ice hockey teams’ origins
Source: liiga.fi, nhl.com.
To broaden the scope of the thesis and to offer international comparison, three NHL ice
hockey teams were added to the research. NHL, in other words, National Hockey
League consists of 30 different ice hockey teams located in the United States of America
and Canada. The National Hockey League was established in 1917 and it is considered
to be the premier professional ice hockey league in the world. The three selected teams
and their locations can be found in Table 2. in the right column. (Wikipedia 2016)
2.2. Research Methodology and Design
This research design was created to give a clear structure for collecting and analysing
data in order to find answers to the research problem and research questions of this case
study. In this case study, both quantitative and qualitative methods were used to gain a
complete understanding of the research problem and to find reliable answers to the
research questions.
29
In this case study, the quantitative research method was used as a supportive method to
build a detailed background of the case for further qualitative content analysis. The
quantitative data was analysed through frequency analysis and qualitative data through
content analysis, which focused on theme and pattern interpretation of text and images.
The needed data was collected by observing the research objects’ sponsored content
posts and social media users' reaction towards these posts. Data collection process of
this thesis is focusing on observing social media data. The research tools used in the
thesis were specifically developed and are presented in details in chapter 2.2.3.
The research process (presented in the figure 5) is divided into two main parts based on
the chosen research method. The first part is the quantitative research, which begun with
defining the data requirements in order to determine the research objects before the
actual data collection. After the research objects were selected the channels for the data
collection were chosen. The channels for the data collection were chosen based on the
research objects and the channels they all were found using. Data collection schedule
per channel for the primary research objects and benchmark objects were determined
based on a trial data collection process conducted before the actual research process.
This way it was ensured that the collection schedule lasted long enough to collect
needed amount of data for reliable results.
30
Figure 5. Research Design
Design developed for social media content research. Drawing and design by the author.
31
The quantitative phase continued by data handling the process, which was divided into
two main parts; data collection and data rating. Data collection was conducted by
collecting pre-determined information about Liiga ice hockey teams' and NHL ice
hockey teams' sponsored social media content posts for the quantitative analysis. This
included the social media user reactions. At the same time, all the selected posts were
copied and saved for the quantitative analysis. This part of the research was mostly
focused on collecting and organizing quantitative data from Liiga and NHL ice hockey
teams' social media platforms in order to answer to the first research question. Data
rating was conducted by determining the engagement level for each piece of recorded
content by using engagement rate calculation. This was necessary in order to find an
answer to the second research question. In this phase also the collected posts were
organized based on the engagement rate. The last part of the process was the data
analysis which was based on both, quantitative and qualitative data. The sponsored
content posts for the qualitative analysis were chosen based on the quantitative data
analysis. The qualitative data analysis was conducted in the form of content analysis.
The data analysis phase was conducted in order to answer the last two research
questions.
2.2.1. Research Sample
The research sample in this case study was selected with purposive sampling, which is
a non-probability sampling technique. With this particular sampling technique the
research focuses on particular characteristics of a population that will enable to find
answers to the research problem. This sample technique is often used in mixed method
research designs and it does not aim to represent any population (Laerd Dissertation
2012). According to Tuten and Solomon (2014, 274) in social media research, it is not
possible to identify unique people as units in a defined population. Instead the
population should be identified as the social communities to which our audience
belongs. This is where the social media research sampling differs from traditional
marketing research. The sampling frame should be then created based on the description
of the selected social communities. In this chapter, the research sample is presented by
briefly identifying the chosen social communities and their audience.
32
The defining of the research sample was based on the main research problem of this
study. The research problem raised one main sample requirement which needed to be
fulfilled to provide reliable results. The requirement was that the audience of which the
sample is taken should represent Finnish sports consumers in social media. The decision
to limit the selection of social communities only to Finnish ice hockey teams that play
in Liiga was made by the author due to two major facts. In Finland ice hockey is the
most popular sport among the sports consumers and it also gathers more sponsors than
any other sport when measured financially. With this information, it was more likely to
find the suitable sponsored content posts from the chosen social media platforms and
find information of how sports consumers react towards this content. Also, this ensured
that the collected data of the audiences of different ice hockey teams would be
comparable to each other.
All the Liiga ice hockey teams and their social communities on Twitter, Instagram and
Facebook were observed for a total of two months to collect and analyse the data
primarily for the quantitative data analysis. Each team has their own official social
media communities and the sizes vary. In Table 3 all the social communities included
in the research are presented by the number of the followers of each social media
platform. The table includes both the Liiga ice hockey teams as well as the selected
NHL ice hockey teams.
Table 3. Liiga and NHL ice hockey teams’ social communities and the number of
followers in January 2016
The data collected from the ice hockey teams’ social media platforms.
33
The sizes of social communities of the different teams vary significantly when
compared based on a number of followers. The differences in the sizes of the
communities by platform as well as in the total number of followers can be seen in the
Appendix 1 where all the Liiga ice hockey teams and their communities are compared.
Even though the entire communities were observed in terms of their engagement
towards sponsored social media content, it should be noted that the further analysis
focuses only the users who choose to engage in a way or another. The size of this
engaging group is estimated by percentage per channel as in social media it is difficult
to identify individual users reliably. The combined size of the social community
included in this research consisted approximately of 860 000 Liiga ice hockey teams’
followers and 9 600 000 followers of three NHL ice hockey teams.
After the quantitative sampling, the sample for the qualitative analyse was drawn from
the quantitative results. It should be noted that sampling for qualitative analysis is not
required to meet the statistically valid formula of quantitative analysis (Macnamara
2005, 18).
2.2.2. Definition of the Data
Before the data collection phase of the research, it was vital to define what kind of data
is collected and analysed. The defined data requirements were solely based on the
research problem of the study. The first two data requirements were that the collected
data needs to be sponsored social media content that is published on the selected rights-
holders' social media platforms. Sponsored social media content can be understood in a
two different ways and for that reason at this point it is important to separate the two
different views. In social media terminology sponsored content means using social
media for ad placement by paying to the platforms in order to reach individual users
(Fontein 2015). However when talking about sponsored content that is published in the
rights-holders social media platforms the social media terminology refers to this as
branded content in order not to mix the two different approaches. When using branded
content instead of sponsored content the brand is in cooperation with the publishing
party to reach their followers or specific social community instead of paying the
platform from reaching individual users. In sports marketing brand's logo visibility is
34
seen as exposure marketing to provide brand awareness. In contrast, content marketing
is a result of integrated partnership between the rights-holder and the sponsor. Content
marketing creates value for the fans through different kinds of content posts that offer
the fan more than brand visuals. Content marketing aims for creating interaction and
engagement between the brand and the fans (Reider 2014).
For the purposes of this research, the collected data is defined as sponsored social media
content and it includes all the social media posts of the selected research objects that
can be connected to a sponsoring brand. The form of the collected content was not
limited by the research and all the forms the platforms support were collected. However,
the collected data definition does not include paid social media advertisements nor
advertisements the rights-holder publish on their own platforms. In this case, exposure
marketing is considered as advertising as the published post does not offer any
recognizable value by itself to the fans.
The next important step of defining the data is to define the data source which in this
case were limited to three social media platforms; Facebook, Instagram, and Twitter.
The reason to choose these platforms as a data source was the fact that all the selected
research objects, the 18 ice hockey teams, have their own official social media pages on
these platforms and they use the pages to communicate and interact with their fans. This
ensured that research object-specific results would be comparable to the other research
objects. The data was only collected from the official pages of the selected ice hockey
teams and this was ensured by selecting only platforms that were linked to the official
web-pages of the teams.
The last major data collection requirement was to understand how to measure the
engagement level of the content among the sports consumer. Chapter 1.3.4. introduced
engagement as the main measurement to separate efficient and inefficient social media
content (Robinson and Saker 2014, 13). For this reason, it was necessary not only to
collect the sponsored content posts but also all the available engagement data about the
fans' reaction. All the publicly available engagement measurements were chosen to be
collected and they are the number of comments, likes/favourites and shares/re-tweets
per content. Also the comments sponsored content posts received were collected by
number and as an original text for further analysis. This was necessary in order to get
35
in-depth knowledge of the sports consumers’ attitudes towards the sponsored content
posts. Listening to consumer conversations in social media is a way to understand what
kind of content is preferred and creates value in the eyes of the consumer (Tuten and
Solomon 2014)
2.2.3. Data Collection
The time frame of the data collection process was designed according to the official ice
hockey seasons of Liiga and NHL in order to collect the data when the teams are playing
and being the most active in social media with their sponsors. As a result, it was assumed
that also the sports fans are following their favourite teams actively during this time and
engaging on social media more than during off-season. The data collection schedule
was divided in such a manner that each primary research objects' three social media
platforms were followed for a total of two months and in contrast the secondary research
objects for a total of one month.
During the data collection process a total of 99 months of social media posts in the
chosen social media platforms were read. Among this data, a total of 477 sponsored
social media content posts were collected according to the data definition presented in
the chapter 2.2.2. 380 of these content posts were published by Liiga and 97 by NHL
ice hockey teams. The collection was conducted manually by the researcher due to the
lack of suitable automated data collection tool that would enable data collection without
the permission of the platform admin to the unlimited access to the social media
accounts of the research objects. The manual data collection method made the collection
process time consuming and for this reason, the data collection schedule was spread to
several months but at the same time ensuring that the results of individual research
objects would be comparable to the other objects. Collection began in November 2015
and ended in February 2016. The social media platforms specific data collection
schedule is presented in details in the Figure 6 and reliability and validity of the research
will be discussed further in chapter 2.2.5.
36
Figure 6.The data collection schedule 2015-2016.
Figure shows which platforms were measured during which months. Drawing by the
author.
For the collection of the selected social media posts, two separate collection tools were
created that enabled to collect, organize, filter and eventually analyse the collected
quantitative as well as qualitative data. The first data collection tool focused on enabling
the collection of the quantitative data and it was important that this same tool was
created in a manner that would also enable organizing, filtering and analysing the data.
The tool was created on an Excel-sheet where a data specific table for the quantitative
measurements was listed. Each collected content needed to be marked to the Excel-
sheet on its own line with the following information; a specific collection number tight
to the collection month, the team's social media platform and a number of followers, the
type and publishing time of the content, the engagement numbers and the tone of the
comments. Also, automated calculation of the engagement rate was included in the tool
to enable later on the organizing of the data. The collection tool is presented in Appendix
2.
The second data collection tool was focused on recording the collected content posts so
after the collection they would be easily accessible for further qualitative analysis or for
data inspection if required. This was also necessary due to the fact that some social
media platforms such as Twitter only save posts for a limited time period and after that
they are not accessible anymore on the platform. During the data collection process, a
screenshot was taken from each collected content and of the engagement measurements
such as the comments. All the sponsored video posts were watched and also a screenshot
was taken of them. Recording or saving the videos was not necessary after viewing
them once and collecting them in the form of a screenshot. All the screenshots were
saved and each content was marked with a collection number and collection month so
the content could be later on connected to the correct information on the excel sheet.
The qualitative data collection tool is presented in Appendix 3.
37
In this research, the publicly available data was collected from chosen social media
platforms manually and then organized and filtered. The process continued with
categorizing the data based on the chosen attributes and then analysed based on chosen
themes. During the data collection process the selected 15 Finnish ice hockey teams and
their official Facebook, Instagram and Twitter pages were investigated and all the
sponsored content posts were collected. The division of the collected content posts per
platform in percentages is presented in the Figure 7. The amount of collected sponsored
social media content posts in different platforms per team are presented in the appendix
1.
Figure 7. Distribution of Liiga and NHL ice hockey teams’ sponsored content
posts per platform
Drawing by the author.
In practise collection was conducted on a Excel-sheet by giving each collected content
a collection number. On this Excel-sheet, there were certain details the data collector
needed to write down. In addition to the collection number the included details were the
name of the team, the name of the social media platform, the number of followers, the
type of the content (photo, text, link, video), the posting date of the content, the posting
time of the content, the name of the sponsor of the content, number of likes, number of
comments, number of shares if applicable and whether the majority of the comments
were negative or positive. The amount of different types of collected content posts and
the platforms they were published on are displayed in the Figure 8.
38
Figure 8. The number of different types of sponsored content posts Liiga and
NHL ice hockey teams published in different social media platforms.
Results of data collection period of two months. Drawing by the author.
2.2.4. Data Analysis
Quantitative frequency analysis, which was conducted first, focused on measuring and
counting numerical data on chosen attributes. The second phase of analysis, the
qualitative content analysis, focused on analysing the contextual factors in the collected
social media content posts.
Quantitative Data Analysis: Data Rating / Data Mining
In this research, the collected data from social media is based on the sponsored content
posts of selected sports teams and for this reason, the data analysis could be defined as
content analysis that is organised and researched in quantitative research manner. The
quantitative content analysis refers to "a method of studying and analysing
communication in a systematic, objective, and quantitative manner for the purpose of
measuring variables” (Kerlinger 1986; Binsbergen 2013). It could be also described as
a way to transform observations of found categories into quantitative statistical data
(Binsbergen 2013). In this research the quantitative analysis is conducted as frequency
analysis which deals with the number of occurrences (frequency) and analyzes measures
of central tendency, dispersion and percentiles (Research Optimus 2016).
39
After the data collection, the data analysis begun by ranking the collected content posts
against each other based on the engagement rate. Engagement rate was calculated by
finding out what percentage of the followers had engaged with that particular content.
This way the engagement was made proportional so that the size of the network did not
distort the results.
The purpose of the engagement rate is to measure what share of the audience engaged
with the content and it represents the main measurement used in quantitative data
ranking. There are two different ways to calculate the engagement rate. The first one is
dividing the total engagement of the posted content with the reach of that particular
content. This is an opportunity only when the research data has the availability to the
insights, which in this research was not possible. For that reason, the chosen
engagement rate calculation was done with the publicly available data by dividing the
total engagement with the total number of the followers. (Smitha 2013) By choosing to
measure the engagement rate with publicly available data meant that in future the
research results can be easily compared to competitors or other actors from different
industry without the access to platform insights.
After organizing the data based on the engagement the aim was to analyse whether there
are certain content attributes that affect more to the level of positive engagement and to
the different ways to engage. These attributes included, for example, the platform, the
content type, the amount of the content posts and the publishing team. The quantitative
analysis main purpose was to build up a detailed background of the case and support
the qualitative analysis. The quantitative data analyses included both overall data as
well as team specific data analyses to offer an understanding of differences between the
teams but at the same time to offer a way to generalize and simplify the results.
Qualitative data analysis
In this research, the qualitative content analysis tries to determine the likely meaning of
the content to the audiences. The focus of the qualitative content analysis is more
complex than only the text, it also analyses the audience, the media, and the contextual
factors. (Macnamara 2005, 5-6)
40
Qualitative content analysis was conducted as a continuation to the quantitative
frequency analysis based on the engagement rate data ranking. The aim was to find
answers to the research questions and find out if it would be possible determine factors
in sponsored content that enable positive engagement and higher engagement rate
among the target audience. The main goal of the qualitative approach is to understand
what about the content encourages the audience to engage and if the most engaging
content posts have similar traits and value propositions. During the qualitative analysis,
the sponsored content posts selected based on the engagement rate were re-read and
pre-listed. It should be noted that analysed content did not only consist of text but also
of photos, videos, links, and combinations of them.
During the qualitative content analysis, three main techniques were used to yield results.
These techniques were listed based on the Content Research Methodology of Jim
Macnamara's (2005, 18). The first technique is to seek for the most typical examples
from the data. In this research, this would mean the most typical or most common traits
of the most engaging sponsored content posts. The second technique is to present
negative examples and make comparisons to the most engaging sponsored content posts
in order to find differences or similarities. This was a suitable technique to make
comparisons between the content posts in general and also a comparison between
different teams' content posts and find some audience specific engagement behaviours.
The last technique is to try to seek inconsistent examples among the selected content.
This would mean seeking to find examples of sponsored content posts that perform
better or worse than similar posts in general.
The main content trait that was analysed in a qualitative manner was the way the sponsor
was articulated to the target audience in the content. Also, it was important to analyse
what kind of value the content aimed to convey to the audience and how they have
perceived it. The audience involvement and perception were analysed by looking deeper
into the engagement data and especially the comments the content posts had received.
41
3. RESULTS AND DISCUSSION
The main goal of this chapter is to give answers to the research problem of what kind
of sponsored social media content, published in the rights-holders’ social media
platforms, is the most engaging among the Finnish sports consumers. The chosen
method for this study was explanatory sequential mixed research method which
combines quantitative frequency analysis and qualitative content analysis. All the
research results are based on the sponsored social media content posts of the primary
and the secondary research objects. The primary research objects in this research are
15 Finnish Liiga ice hockey teams and the secondary research objects are 3 NHL ice
hockey teams.
The data collection period of the primary research objects lasted for two months and for
the secondary research objects for one month. The collection was conducted between
November 2015 and February 2016 on social media platforms Facebook, Twitter, and
Instagram. In total 477 sponsored social media content posts were found and collected
for the data analysis, of which 380 (79.7%) were collected from Liiga ice hockey teams’
social media platforms and the remaining 97 (20.3%) from NHL ice hockey teams’
social media platforms.
First sub-chapter present the results on to each of the following research questions and
the second sub-chapter Discussions analyses and interprets the overall results.
1. Which social media platform and what content type is the most used for
publishing sponsored social media content among the Liiga ice hockey teams?
2. What kind of similarities and differences the most and the least engaging
sponsored content posts of Liiga ice hockey teams have?
3. What kind of similarities and differences the most engaging sponsored content
posts of Liiga and NHL ice hockey teams have?
42
4. What kind of content factors affect the sports consumers’ willingness to engage
with sponsored social media content?
3.1. Results
3.1.1. Liiga Ice Hockey Teams’ Sponsored Social Media Content
The quantitative frequency analysis results presented in this sub-chapter analyses how
often, in which platform and with what content type the sponsors currently activate
sponsorships in the rights-holders social media platforms.
On average individual Liiga ice hockey team published 13 pieces of sponsored content
per month. However, during the data collection period, the team specific amount of
published sponsored content posts varied between 1 and 27 posts per month. The
differences between the amounts of published sponsored content posts between Liiga
ice hockey teams during the data collection period of two months are displayed in
Figure 9. where the teams are organized starting from least active to the most active.
Figure 9. Published sponsored content posts and the average engagement rate
(%), Liiga ice hockey teams
Results of data collection period of two months. Social media platforms included:
Twitter, Facebook, and Instagram. Drawing by the author.
43
On average the most used social media platform for publishing sponsored content posts
among Liiga ice hockey teams is Twitter. Approximately 42% of all the collected
sponsored content posts of Liiga teams were published on Twitter, 36% on Facebook
and 22% on Instagram. The average results are displayed in Figure 7. Even though the
average results indicate Twitter as the most used platform for publishing sponsored
social media content, it should be noted that the role of individual platforms differ when
it comes to individual Liiga ice hockey teams. For example, JYP is an example of a
team that published the majority of sponsored content posts in Instagram (47%), 35%
on Twitter and 18% on Facebook. The amount of sponsored content posts published by
individual Liiga teams on different platforms can be viewed in Appendix 5.
The vast majority of the sponsored content posts published in the right-holders social
media platforms were pictures. According to the research results, 66.5% of all the
sponsored content posts published by Liiga ice hockey teams were pictures. At the same
time, 15% of their sponsored posts were links, 10.4% were text and 8.1% were videos.
Again, there are significant differences between the content types Liiga ice hockey
teams use on different social media platforms for publishing the sponsored posts. This
can be easily seen in Figure 10 which displays the comparison of the average amount
of different content types published in different social media platforms. Picture content
or combination content including a picture is the most common content type in all
platforms. For example in Instagram, the picture is the only content type present in the
analysed data. Liiga ice hockey teams use sponsored text content only in Twitter and
video content only on Facebook. Links are used on both Facebook and Twitter.
44
Figure 10. The number of different types of sponsored content posts Liiga ice
hockey teams published on different social media platforms.
Results of data collection period of two months. Drawing by the author.
3.1.2. Sponsored Social Media Content and Engagement
Like the previous results indicated, on average the rights-holders publish most of the
sponsored content posts on Twitter and as a photo content. With engagement rate
analysis it is possible to determine what kind of content type in which platform makes
the sports consumer the most compelled to engage. The average engagement rate among
the Liiga teams is 1.92% when all the social media platforms are included. In other
words, this means that on average an individual ice hockey team is capable of reaching
engagement rate of 1.92% by publishing a sponsored content post. When the team
specific engagement rates were compared to the amount of sponsored content post they
published, it became obvious that there is no correlation between engagement rate and
a number of published content posts. This can be seen in Figure 9. In other words, the
amount of sponsored content posts published does not affect the willingness of sports
consumer to engage with the content.
From the frequency analysis, it became evident that the most of the sponsored content
posts are published on Twitter. However, when the platform specific and team specific
engagement rate levels were compared, the results indicated that sports consumer feel
the least compelled to engage with sponsored content published on Twitter. Twitter had
the lowest platform specific average engagement rate of 0.10% and the lowest team
specific engagement rate among all Liiga teams. Sponsored content published in
Instagram is able to engage significantly more sports consumers than in Twitter or
45
Facebook. The average engagement rate in Instagram is 7.00% and in Facebook 0.94%.
The team specific engagement rates support the average results and the rates are
displayed in Figure 11. Instagram is the most engaging social media platform for
sponsored content among all Liiga teams, excluding Kookoo, which did not publish any
sponsored content posts in Instagram during the data collection period.
Figure 11. Liiga ice hockey team specific engagement rate(av) by social media
platform
Drawing by the author.
When rights-holders publish sponsored content it is most often published as a picture
content. From the quantitative analysis, it was found that on average also sports
consumer engages the most with picture content. However, according to the results,
there is a difference in the level of engagement based on the platform the picture content
is published in. The engagement each content type receives on average per platform are
presented in Figure 12. and the results clearly indicate that the highest engagement per
sponsored picture content is reached through Instagram. On average sponsored picture
content receives 7 comments and 765 likes when published in Instagram. In Facebook
sponsored picture content receives 45 shares, 62 comment, and 358 likes. At the same
time on Twitter, which is the most used platform by rights-holders for sponsored
content, sponsored picture receives on average only 4 shares, 0 comments, and 18 likes.
46
Figure 12. The average of engagement each different content type received in
different social media platforms.
Liiga ice hockey teams’ average results. Drawing by the author.
10% (total of 47 posts) of the most and the least engaging sponsored content posts and
their content types were compared to find out how important role the platform and the
content type has when it comes to the sports consumers’ willingness to engage. The
detailed quantitative data of the most engaging posts is displayed in a table in Appendix
7 and of the least engaging in Appendix 8. The results indicated that 93.6% of the most
engaging sponsored content post were published in Instagram and the rest in Facebook.
All of them were picture content posts. Among the least engaging content posts 95.8%
were published in Twitter and the rest in Facebook. 63.8% of the least engaging content
posts were pictures. The results indicate that even though the picture content on average
is the most engaging sponsored content type, the platform the content type is published
in affects more to the engagement level than the content type alone.
3.1.3. Benchmark results: NHL Ice Hockey Teams
The main purpose of having a secondary research object in this research was to find out
if there are differences in the way sponsored social media activations are conducted in
Finland and internationally. Also the way sports consumers engage in Finland and
internationally were compared. This chapter presents the results to the third research
question of; what kind of similarities and differences Liiga and NHL ice hockey teams’
the most engaging sponsored content posts have? Following benchmark results should
47
be viewed as directional because the secondary research object sample was not identical
to the primary research object sample.
On average NHL team publishes 32 sponsored social media content posts per month.
This average amount of published sponsored posts is almost 2.5 times more than what
Liiga teams publish. However, like displayed in Figure 13 the amount published by
individual team varies between 11 and 62 sponsored content posts per month.
Figure 13. The monthly average of published sponsored social media content posts
and the average engagement rate, Liiga and NHL ice hockey teams
Results of 15 Liiga ice hockey teams (blue bars) and 3 NHL ice hockey team (green
bars). Social media platforms included: Twitter, Facebook, and Instagram. Drawing by
the author.
The overall average results of Liiga and NHL ice hockey teams’ frequency analysis
resemble each other’s remarkably. Similarly to Liiga, the most used platform for
publishing sponsored content posts among NHL teams is Twitter followed by
Facebook. Among NHL teams also, Instagram is the least used. The detailed results of
the platform analysis can be viewed from the Figure 7. Also, the most used content type
for sponsored content posts for NHL teams was similar to Liiga, picture content. The
amount of video content posts is the main difference between Liiga and NHL teams.
According to the analysis 34% of NHL ice hockey teams' sponsored posts are videos
which are proportionally 25.9% more than what Liiga ice hockey teams publish. NHL
teams publish sponsored video content mainly in Twitter and Facebook. Whereas Liiga
teams do not publish any sponsored videos on Twitter. Another difference between the
48
sponsored content posts published by Liiga and NHL is the share of picture content
posts published on Facebook. 29% of sponsored content posts Liiga teams publish in
Facebook are pictures whereas only 5.6% of the Sponsored content posts published by
NHL teams on Facebook are pictures. The types of posts per platform, NHL ice hockey
teams published, are displayed in Figure 14.
Figure 14. The number of different types of sponsored content posts NHL ice
hockey teams published on different social media platforms.
Results of data collection period of one month. Drawing by the author.
When the average engagement rates of Liiga (1.92%) and NHL (0.51%) are compared
it is clear that on average Liiga teams are able to engage a larger percentage of their
social media community with sponsored content. According to the results Instagram is
the most engaging platform and picture the most engaging content type for publishing
social media content also for NHL teams. The comparison of platform specific average
engagement rates are displayed in the Figure 15. Among NHL teams, Twitter was also
the most used platform for publishing sponsored content but at the same time, the sports
consumers feel least compelled to engage in Twitter.
49
Figure 15. Comparison of Liiga and NHL ice hockey teams’ social media
platform specific engagement rates (average)
Drawing by the author.
The top sponsored content posts, which means 10% of the Liiga and NHL ice hockey
teams’ posts with the highest engagement rates, were compared to distinguish engaging
contextual factors.
Exploitation of players' images in sponsored content posts can be distinguished as a
contextual factor that encourages sports consumers to engage with the content. Both
Liiga and NHL teams' top sponsored content posts had several examples of such content
and it can be stated that using players' images in sponsored content enables higher
engagement rate. Among the top collected posts, there was a very clear pattern of how
sponsors exploit the images of the players. Usually, this is conducted by using already
existing ice hockey match images provided by the rights-holder and pairing the picture
with the sponsor's logo. Examples of such content executions are a birthday wish from
a sponsor or an admiration of a players smile from a dental company.
Approximately 40% of the top sponsored content posts of NHL teams were built around
sponsored giveaways promised to match participants during the next ice hockey match.
Giveaways are a contextual factor that not only encourages the sports consumers to
engage with the content but also to participate in the next match. This very common
7,00%
0,74%
0,10%
2,25%
0,18% 0,04%0,00%
1,00%
2,00%
3,00%
4,00%
5,00%
6,00%
7,00%
8,00%
Instagram Facebook Twitter
Liiga NHL
50
and engaging content among the NHL teams did not exist among Liiga ice hockey
teams’ sponsored content posts.
In contrast, the top sponsored content posts of Liiga ice hockey teams had a few
sponsored competition posts for the fans where the fans could win tickets to the
matches. NHL ice hockey teams also had competitions for the fans but the target
audience was totally different than the target audience of Liiga ice hockey teams. Liiga
ice hockey teams seem to target their competitions to fans in general and the NHL ice
hockey teams targeted their competitions specifically to children and families with
children. Approximately 30% of the most engaging sponsored NHL posts were
competitions targeted to children and families.
Sponsored content posts that evolved around charity campaigns were very common
among the sponsored content posts of Liiga and NHL teams. However, the charity
content posts were only among Liiga team’s top sponsored content posts. Proportionally
sponsored charity content is able to engage more Finnish sports consumers than the
North-American sports consumers in social media. None of the sponsored charity posts
did not engage enough to be considered as NHL teams’ top sponsored posts. The same
situation was with sponsored posts that enabled the fan and player meetings. These
content posts were among the top sponsored posts of Liiga ice hockey teams but did not
fit into the top sponsored posts of NHL ice hockey teams.
3.1.4. Engaging Factors of Sponsored Social Media Content
The main goal of the qualitative content analysis was to analyse what kind of content
factors increase the engagement level of sponsored social media content. This was done
by analysing content traits that enable higher engagement. Approximately 13% (60
posts) of all the collected the sponsored content posts with the highest engagement rate
as well as with the lowest engagement rate, were analysed. The analysis was conducted
to discover how different content factors affect the content's ability to encourage
engagement. During the analysis, the focus was on analysing the sponsored content
posts’ contextual factors, articulation of the sponsor, the transmitted value and sports
consumers’ perception.
51
The most engaging sponsored social media content
The research results indicated that it is possible to recognize distinctive factors among
the most engaging sponsored content posts and based on them the posts can be divided
into three groups. The first group of the most engaging sponsored content posts was
pictures displaying one or several players in a situation where the fans were not used to
seeing them. It could be stated that ice hockey fans are used to seeing picture content
from the ice hockey matches where the players are covered with their match gears. The
example content posts in Appendix 9, offer fans a bit different type of pictures where
the players are wearing their personal clothes in a shopping mall or even in their own
home. In this type of content, the sponsor or sponsor's products or services may be part
of the picture or the caption of the picture but sponsor's presence visually does not
overcome the players. The first content example in Appendix 9 is a picture post of three
Kärpät players holding sponsored jeans. However, to the fans, it also has another
meaning. For them, the content is showing three of their favourite players who had just
won gold medals in the World Junior Ice Hockey Championships a week ago. Also, the
players are posing in their personal clothes.
Usually, the content with this type of in-depth knowledge about the team is offered by
the rights-holder. However in this content type, the sponsors offer the fans a glimpse
behind the scenes, shows the players as their own personalities and this is something an
ice hockey match is not able to offer them. Creation of this type of content requires
cooperation from the rights-holder and the sponsor as sponsor alone is not able to access
such content. With this type of content, the sponsor is able to exploit the image and
popularity of the players to favourably influence the perception of the brand. Creating
assimilation between the sponsor and the team in a manner that puts the consumer
interest first does not only benefit the sponsor. It can also enrich the fan experience
which may lead to an increase in the number of followers and higher engagement. The
posts, displaying the players, are good examples of content which' contextual factors
affect sports consumers' willingness to engage. The mentioned content with Kärpät
players in Appendix 9 is a good example of the difference the player as a part of the
content may have to the engagement rate. The current trend or the popularity of a player
is a contextual factor that can be only understood by knowing the sport and the sport
consumer preferences.
52
Three examples of the second group of the most engaging content posts are displayed
in Appendix 10. The content in this group of posts is based on a charity campaign or
charity event organized by the rights-holder in cooperation with a charity organization.
All of these engaging example posts display results of a charity campaign which were
accomplished with the help of fans and again the sponsor is present but not in the leading
role.
With this type of content, the rights-holder and sponsor express their gratitude to the
fans who have participated in the charity. The fans are embraced and appreciated as a
part of the community. Also, the shared values between the team, sponsor, and the fans
are emphasized. For the fans, this type of sponsored content shows a different, more
compassionate side of the ice hockey team in an authentic way. When this type sponsor
activation is shared to social media it has a potential to engage social media users
outside the team's regular target audience. The sponsor, in this case, the charity
organization, receives visibility and attention to their cause with the cooperation. To be
able to offer such content to the fans the sponsor and the rights-holder have needed to
cooperate closely.
The third group among the most engaging sponsored content posts is displayed in
Appendix 11 with three examples of picture posts where fans meet their favourite
players. Sponsor's role in these posts is to act as the enabler of the meeting and to bring
fans closer to their idols. However, the sponsor is not visible in the picture but only
mentioned in the caption of the picture. A great example of this type content posts comes
from Liiga team JYP and its sponsor Lindab. During the data collection period, Lindab
published together with JYP a total of 26 sponsored posts that displayed fan families
meeting the players and enjoying the matches. The overall engagement rate of these
posts was 4.13% which is clearly higher than the overall average engagement rate of all
Liiga teams' posts, which was 1.93%. 10 out of 26 content posts sponsored by Lindab
were among the top 10% of most engaging Liiga-content posts. Two examples of the
content sponsored by Lindab are displayed in Appendix 11.
This content is a great example of a content where the sponsors put the consumer
interest first and are more likely to influence favourably to the consumers perception of
53
the sponsor's brand. High engagement rate in this type of content indicates an
appreciation of the brands involvement from the fans. Creation of this type of content
requires cooperation from the rights-holder and the sponsor. Sponsor alone is not able
to offer such value to the fans.
The least engaging sponsored social media content
The qualitative analysis continued with analysing the sponsored content posts with the
lowest engagement rate. The result indicated that there can be distinguished two
different content groups that have factors that decrease the sports consumers’
willingness to engage. The first group consisted of sponsored content posts that aimed
to encourage engagement through competition or with competition related content.
Three examples of the competition based content can be found from the Appendix 12.
Among the examples, the competitions are aimed at businesses, customers of a certain
sponsor and for the general audience. However, in addition to the example posts, many
different forms of competitions were found as the majority of the least engaging posts
were based on competitions. The competition content posts had three clear content types
among them. The first content tried to challenge people to participate in the competition,
the next one updated the situation in the competition and the last one informed the result
of the competition. In many cases, the competitions were held during the intermissions
at the arena and competition results were updated to Twitter or Facebook in real-time
in a similar manner as the ice hockey match results. Some of the sponsors had decided
to limit the competition participants with pre-requirements such as the participant needs
to be a member of an organization or a business representative. In these content posts,
the sponsor was articulated either in a text format or in the picture without any
connecting elements to the team.
The main problem that arises from competitions held during the ice hockey matches is
the situation where the people present in the ice hockey match are not following the
sponsored competitions. Instead, they are enjoying other arena services. At the same
time, the people following the game from social media feed in real-time do not find this
type of content entertaining, informative or even connected to the actual game. Also,
some of the competitions restricted the participants to businesses. As a result, the target
audience of such content becomes limited and diminished mainly because social media
54
is based on personal user accounts. The formation of content displayed in the examples
could be done without any connection to the team and the missing assimilating elements
may cause a decrease in the authenticity and perceived value in the eyes of the fan.
Another group among the least engaging sponsored content posts were based on
conditional benefits offered by the sponsor. Two examples of such content posts are
displayed in Appendix 13. This sponsored content type is very close to an advertisement
as the sponsor’s main objective seems to be easy sales. The fans are encouraged to buy
with a promised discount or the sponsor aims to reward the fans who already are their
customers with a discount. These content posts are usually a picture displaying the
conditional benefit, the sponsor's logo, and the rights-holders logo.
Through this type of content, the sponsor offers value only to those who are willing to
make a purchase. This is why the target audience most likely experiences the benefits
of such content as conditional. However, it should be noted that the type of the
conditional benefit may have a positive influence on the outcome of such content but it
always depends on the perceived value by the fans. These types of posts do not convey
any additional value through the content. Also, the creation of this type of content does
not require close cooperation nor timely efforts from the rights-holder and the sponsor.
The effects are very similar to the previous content group where the missing
assimilating elements may have caused a decrease in the authenticity and perceived
value in the eyes of the fan.
Inconsistent examples
The last part of the qualitative analysis was conducted to find out if any inconsistency
would be present among the collected sponsored content posts. Inconsistent sponsored
posts would not fit the general findings of the qualitative analysis. Earlier in this chapter
competition based sponsored posts were classified as low engagement posts as this was
the general trend in the data. However the content displayed in Appendix 14 is a great
example of content that does not differ from other competition based content posts but
has reached remarkable high engagement rate. In the example sponsored content the
fans can enter a prize draw and compete from free tickets to an ice hockey match with
liking the content. What makes the content different for the fans is the fact that the ice
55
hockey match is the 60th birthday of the hosting team. In this content, the sponsor is
visible in the content picture as well as in the picture caption as the enabler of the
competition.
It is important to consider that all the content posts have contextual factors that can
affect how it performs among the target audience. For the sports consumer, this type of
content celebrates the team and its accomplishments. There might not be a need for any
added value in order for them to feel the willingness to engage. For the sponsors' these
types of special matches or celebrations are a great way to get extra exposure with small
contribution when it comes to the content creation. It could be assumed that if this
content would have been a competition for a regular match the engagement rate would
not have been so high.
3.2. Discussion
Currently Liiga ice hockey teams publish very different amounts of sponsored content
posts in their social media platforms. When the frequency analysis results and the
average engagement rates per team are compared, the results indicate that the
engagement level is not connected to the amount of sponsored content posts but instead
to other variables. It is clear that some of the teams exploit social media platforms for
sponsorships more than the others. This research did not investigate the motivations of
the teams, whether to use or not to use social media for sponsorship activations. Instead
it focused on identifying content factors that increase the willingness of the sports
consumers’ to engage with the sponsored social media content.
In Chapter 1.3. it was argued that social media marketers should focus on building
relationships through engagement. Based on the frequency analysis and engagement
rate results, Liiga ice hockey teams are able to engage on average the least sports
consumers on Twitter, where they publish the most of their sponsored content posts.
Significantly the highest average engagement rate among social media platforms was
on Instagram, where Liiga teams publish the least of their social media content posts.
In addition to the most engaging platform, the most engaging content type was
investigated. Currently picture is the most used and the most engaging sponsored social
56
media content type. However, it was also discovered that the most as well as least
engaging posts, were pictures. The main difference between the most and the least
engaging sponsored picture posts was the platform they were published in. This
indicates that the content type alone does not have impact on how engaging the content
is but may have an impact when combined with a specific platform. Based on the results
a sponsored picture content published in Instagram is more like to receive higher
engagement rate than any other content type published in any other platform.
In chapter 1.4. it was discussed that engaged fans are the only ones who are able to offer
the sponsors what they are after in social media; the attention and impressions. Based
on this assumption and on the results of this research, it would make more sense for the
teams to direct majority of the sponsored content posts to Instagram instead of Twitter.
With the current content this would more likely enable the sponsors to reach their
sponsorship objectives. However, to engage more sports consumers and to offer more
attractive social media activation possibilities to sponsors on Twitter and Facebook,
Liiga teams should focus on adding different engaging factors to the content.
The main factor required for being able to create engaging sponsored social media
content is a close cooperation between the sponsor and the rights-holder. This was
something that connected all the most engaging sponsored content posts found in this
research. This was also discussed in chapter 1.4. as the role of the rights-holder was
emphasized as the enabler of engaging sponsorship activations. The content that is
created as a result of close cooperation is able to offer the sports consumers more value
than content that clearly does not assimilate the sponsor to the ice hockey team. Rights-
holder is responsible for offering the exploitable commercial potential to the sponsor
like discussed in chapter 1.1. The value may be offered in many different ways but there
are several factors Finnish sports consumers seem to appreciate above all in the
sponsored content posts and these factors are authenticity, behind the scenes
information and shared values. In chapter 1.4. it was argued that by offering content
that the sports consumer values the sponsor do not only enrich the fan experience but
also favourably influences the perception of the brand.
The findings of the research indicated that the main way for sponsored content to be
perceived as authentic is by showing the willingness of the sponsor to put the interests
57
of the sports consumer first. When sports consumers spend time on following their
favorite ice hockey team and engaging with its content they are interested in the team.
Fans are interested about the players and about the community but not about the
sponsor. In sponsored social media content the role of the sponsor should never
overcome the actual content. Authentic and in-depth knowledge of the team is usually
published rather by the team itself than by the sponsor (See chapter 1.4.1.). The results
of content analysis emphasizes the role of rights-holder as an enabler of authentic and
useful sponsored social media content.
Behind the scenes-type of information is a way of offering value through sponsored
content to the sports consumers. This content type is a result of the brand actually
connecting with the team in a way or another and it automatically creates assimilation
between the sponsor and the team. The sports consumers want to know their team and
players better and if the sponsor is able to offer them this benefit it most likely will
benefit the sponsor. Like discussed in chapter 1.1. this type of content has the ability to
bring the fan closer to the team as well as to the sponsor and that is the real value.
Joint charity campaign or any other joint activity that connects the sponsor and the fan
with the help of the rights-holder is also one of the main ways to create engaging
sponsored content according to the research results. However, for sponsored content to
carry the intended message the values between the sponsor, rights-holder, and fans need
to match (see chapter 1.2.). For the fans, it is important to see the more compassioned
side of the ice hockey team, to be able to form more humane image and assimilate
themselves to the team. This type of sponsored social media content evolves around
shared values and doing-together atmosphere. Emphasizing shared values in social
media content is also one very influential way to increase the authenticity of the content
like discussed in chapter 1.4. This type of content is an example of a situation where the
fans openly appreciate the sponsor's involvement.
When creating sponsored social media content there are several contextual factors that
may decrease the engagement of the content. When creating sponsored social media
content, the content should be targeted to sports consumers rather than businesses or
limited audiences, such as customers of the sponsor. Limiting the target audience with
the sponsored content usually leads to low engagement as the message in the content
58
does not touch most of the people viewing it. Another key issue when publishing
sponsored social media content on the social media platform of a rights-holder is the
assimilation between the sponsor and rights-holder. Like explained in the chapter 1.2.2.
compatibility and assimilation ensure that the sponsor's brand image matches with the
values, interests, and lifestyles of the target audience. The assimilation could be created
visually or verbally but without the assimilation and the authenticity, the perceived
value decreases in the eyes of the sports consumer.
The main findings from the benchmarking between Liiga and NHL ice hockey teams
indicate that on average Liiga ice hockey teams are able to reach higher engagement
rate among their social media communities with sponsored posts than NHL ice hockey
teams. For that reason, the NHL team's sponsored content did not provide any
international best practice examples that could be recommended to Liiga teams.
Otherwise, the results of Liiga and NHL ice hockey teams resembled each others
remarkably. The proportional results of Liiga and NHL are very similar when the most
used content type and social media platform for publishing social media content are
compared.
59
CONCLUSIONS
This thesis posed the question: what kind of sponsored social media content, published
in the rights-holders’ social media platforms, is the most engaging among the Finnish
sports consumers? To find answer to this question a research was conducted by using
explanatory sequential mixed research method. The research combined both
quantitative and qualitative methods in order to analyse sponsored social media content
posts. The social media content was collected from the social media platforms of 15
Liiga and 3 NHL ice hockey teams.
The literature review was based on previous theories and research about sports
marketing, sports sponsorship and social media marketing. The results of previous
studies argued that close cooperation between the sponsor and the rights-holder is the
base for engaging sponsorship activations (Kodadek). Robinson and Saker suggested
that in order to create engaging social media content it is necessary to understand the
needs and wants of a sports consumer. Williams and Chinn presented a theory how
successfully communicated shared values have the ability to increase the authenticity
and engagement of sponsored content.
The research findings of this thesis support the results of previous studies and are
aligned with ideas presented in the existing literature. The Findings indicate that rights-
holders and sponsors are able to influence the effectivity and usefulness of the
sponsored social media content, published in the rights-holders’ social media platforms.
This can be done by understanding what kind of content offers the most value to the
sports consumer. The research findings are based on both quantitative and qualitative
analysis. The main findings from quantitative frequency analysis indicated that
sponsored picture content published on the social media platform Instagram is the most
engaging among the Finnish sports consumers. Whether this is a result of well-targeted
content or more sensitively engaging target audience than it other social media
60
platforms, was not investigated in this research. However, the fact that least of the
sponsored content posts were published in the most engaging social media platform
indicates that Finnish sponsors and rights-holders are not fully aware which platform
and what kind of content would serve their sponsors’ objectives most effectively.
The main findings from the qualitative analysis indicated that several connecting factors
can be identified among the best performing sponsored content posts. Finnish sports
consumers are more likely to engage with content that genuinely brings them closer to
the sports team or athletes. According to the findings, Finnish sports consumers prefer
sponsored content that puts the consumers' interests first, offers knowledge about the
team rather than about the sponsor, and conveys the values shared by the sports team,
the consumers, and the sponsor.
Three NHL ice hockey teams were added to the research in order to gain directional
international benchmark results. It was expected that the benchmarking would have
offered international best practise examples. However, the results indicate Liiga ice
hockey teams are able to engage more of their followers proportionally with sponsored
content than NHL ice hockey teams.
This thesis could be of interest to both, rights-holders and sponsoring companies who
operate in sports marketing. This study offers sports marketers understanding of their
target audience’s preferences in social media and helps them to create and publish more
engaging sponsored social media content.
As a result of this thesis, further research might well be conducted in order to estimate
the return on investment sponsorship activations published on social media are able to
offer to the sponsor. Research in this topic would enable estimation of the value the
rights-holders are able to offer the sponsors with the sponsored social media activations.
61
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https://www.american.edu/soc/communication/upload/Capstone-Wysocki.pdf.
(12.2.2016)
70
APPENDIXES
Appendix 1. The number of collected sponsored content posts per
ice hockey team in different social media platforms Teams Facebook Twitter Instagram TOTAL
Chicago Blackhawks 18 35 9 62
HIFK 25 19 11 55
HPK 15 23 6 44
JYP 8 15 20 43
TPS 7 27 6 40
Tappara 15 19 1 35
Saipa 15 13 5 33
Boston Bruins 0 17 7 24
Blues 7 6 9 22
LUKKO 7 7 5 19
Pelicans 11 7 1 19
Ilves 6 7 5 18
Ässät 12 4 1 17
KalPa 3 1
13
Anaheim Ducks 8 0 3 11
KooKoo 2 8 0 10
Vaasan Sport 3 2 4 9
Kärpät 1 1 1 3
TOTAL 163 211 103 477
71
Appendix 2. The sizes of the social communities of Liiga ice
hockey teams in Twitter, Facebook and Instagram.
-
20 000
40 000
60 000
80 000
100 000
120 000
140 000
160 000
180 000
Liiga - followers
Intagram
72
Appendix 3. The quantitative data collection tool. Designed by the author.
73
Appendix 4. The qualitative data collection tool. Used for recording the collected qualitative data. Picture was taken by the author.
74
Appendix 5. Published sponsored content posts and average
engagement rate per social media platform (Liiga teams)
75
Appendix 6. The amount of published sponsored content
posts by content type.
Overall data
Liiga ice hockey teams’ data
NHL ice hockey teams’ data
76
Appendix 7. Top 10% of the sponsored content posts with the
highest engagement rate (Liiga teams)
Collectio
n
number
Collectio
n month Team Platform Followers
photo/lin
k/text Date Sponsor
Total
engagemen
t (Likes) (Comments) (Shares)
positive
/
negative
Engagement
rate (%)
181 January Kärpät Instagram 21900 picture 18.-24.1.2016Mick's multibrand store 4859 4740 119 0 positive 22,18721 %
56 NovemberTappara FB 50540 picture 19.11.2015 VRJ Group 9791 5133 3595 1063 positive 19,37277 %
56 December Tappara FB 50540 picture 8.12.2015 Delete Group 7585 6103 411 1071 positive 15,00791 %
186 January Tappara Instagram 12200 picture 25.-31.1.2016Pappila Pekkala Group 1808 1642 166 0 positive 14,81967 %
54 December Tappara FB 50540 picture 25.11.2015 Pancho Villa 6545 4891 550 1104 positive 12,95014 %
182 January Pelicans Instagram 3579 picture 11.-17.1.2016DNA 384 382 2 0 positive 10,72925 %
164 January Ilves Instagram 11200 picture 11.-17.1.2016Mannerheimin Lastensuojeluliitto 1183 1176 7 0 positive 10,56250 %
184 January Saipa Instagram 6805 picture 11.-17.1.2016K-Rauta 643 643 0 0 9,44893 %
160 December Saipa Instagram 6805 picture 14.-20.12.2015K-Supermarket Lehmus 592 590 2 0 positive 8,69949 %
180 January KalPA Instagram 7185 picture 11.-17.1.2016Hope Ry 624 624 0 0 8,68476 %
172 January JYP Instagram 9475 picture 18.-24.1.2016Kekäle 806 803 3 0 positive 8,50660 %
158 December LUKKO Instagram 6440 picture 1.-6.12.2015 Prisma Rauma 545 543 2 0 positive 8,46273 %
157 December LUKKO Instagram 6440 picture 7.-13.12.2015Prisma Rauma 544 543 1 0 positive 8,44720 %
166 December TPS Instagram 9982 picture 14.-20.12.2015Terveystalo 831 810 21 0 positive 8,32498 %
191 January Ässät Instagram 7471 picture 18.-24.1.2016Länsi-Suomen OP 611 608 3 0 positive 8,17829 %
133 December HIFK Instagram 26600 picture 7.-13.12.2015Turkish Airlines 2172 2146 26 0 positive/negative8,16541 %
188 January TPS Instagram 9982 picture 18.-24.1.2016Silja Line 811 804 7 0 positive 8,12462 %
177 January JYP Instagram 9475 picture 4.-10.1.2016 Lindab 769 766 3 0 positive 8,11609 %
163 January Ilves Instagram 11200 picture 11.-17.1.2016Reebok 904 897 7 0 positive 8,07143 %
167 January JYP Instagram 9475 picture 18.-24.1.2016Lindab 759 759 0 0 8,01055 %
155 December LUKKO Instagram 6440 picture 21.-27.12.2015Prisma 508 508 0 0 7,88820 %
169 January JYP Instagram 9475 picture 18.-24.1.2016Hartwall 746 745 1 0 positive 7,87335 %
165 January JYP Instagram 9475 picture 25.-31.1.2016Lindab 745 741 4 0 positive 7,86280 %
179 January KalPa Instagram 7185 picture 18.-24.1.2016Hope Ry 564 564 0 0 7,84969 %
154 December LUKKO Instagram 6440 picture 21.-27.12.2015KJL-muutot 500 499 1 0 poitive 7,76398 %
170 January JYP Instagram 9475 picture 18.-24.1.2016Lindab 729 727 2 0 positive 7,69393 %
178 January JYP Instagram 9475 picture 4.-10.1.2016 Lindab 729 724 5 0 positive 7,69393 %
166 January JYP Instagram 9475 picture 25.-31.1.2016Lindab 713 712 1 0 positive 7,52507 %
173 January JYP Instagram 9475 picture 18.-24.1.2016Lindab 712 712 0 0 7,51451 %
73 December Blues Instagram 9667 picture 14.-20.12.2015Espoon kaupungin sosiaalivirasto 723 719 4 0 positive 7,47905 %
175 January JYP Instagram 9475 picture 11.-17.1.2016Lindab 699 696 3 0 positive 7,37731 %
141 December JYP Instagram 9475 picture 21.-27.12.2015Lindab 694 694 0 0 7,32454 %
176 January JYP Instagram 9475 picture 11.-17.1.2016Lindab 686 685 1 0 positive 7,24011 %
71 NovemberBlues Instagram 9667 picture 16.-22-11-2015LähiTapiola 693 687 6 0 7,16872 %
75 December Blues Instagram 9667 picture 14.-20.12.2015Espoon kaupungin sosiaalivirasto 692 687 5 0 positive 7,15837 %
74 December Blues Instagram 9667 picture 14.-20.12.2015Neste 685 678 7 0 positive 7,08596 %
159 December Saipa Instagram 6805 picture 21.-27.12.2015McDonald's Lappeenranta 473 470 3 0 positive 6,95077 %
174 January JYP Instagram 9475 picture 11.-17.1.2016HK 658 657 1 0 positive 6,94459 %
171 January JYP Instagram 9475 picture 18.-24.1.2016Lindab 658 658 0 0 6,94459 %
137 December HPK Instagram 5188 picture 21.-27.12.2015McDonald's Hämeenlinna 360 360 0 0 6,93909 %
142 December JYP Instagram 9475 picture 21.-27.12.2015Reumalapset ry 656 651 5 0 positive 6,92348 %
136 December HPK Instagram 5188 picture 21.-27.12.2015Säästöpankki 359 357 2 0 positive 6,91981 %
168 January JYP Instagram 9475 picture 18.-24.1.2016Lindab 651 647 4 0 positive 6,87071 %
130 December HIFK Instagram 26600 picture 14.-20.12.2015Santa Claus Finland 1817 1806 11 0 positive 6,83083 %
146 December JYP Instagram 9475 picture 7.-13.12.2015OP 641 638 3 0 positive 6,76517 %
158 January HIFK Instagram 26600 picture 18.-24.1.2016Turkish Airlines 1773 1766 7 0 positive 6,66541 %
70 NovemberBlues Instagram 9667 picture 16.-22.11.2015LähiTapiola 644 638 6 0 6,66184 %
77
Appendix 8. Bottom 10% of the sponsored content posts with
the lowest engagement rate (Liiga teams)
Collection
month Team Platform Followers
photo/link
/text Date Time Sponsor
Total
engagement (Likes) (Comments) (Shares)
positive /
negative
Engagement
rate (%)
February HPK Twitter 7853 picture 10.2.2016 10:49 Vekka 3 3 0 0 0,03820 %
February Saipa Twitter 10800 picture 12.2.2016 12:34 Imatran autokatsastus 4 4 0 0 0,03704 %
January Ilves Twitter 11100 picture 14.1.2016 6:48 Kiilto 4 3 0 1 0,03604 %
December Ilves Twitter 11100 picture 30.12.2015 6:02 Kiilto 4 2 0 2 0,03604 %
January TPS Twitter 11300 picture 8.1.2016 8:09 Bar Edison 4 4 0 0 0,03540 %
January Tappara Twitter 12200 text 26.1.2016 9:03 DNA 4 4 0 0 0,03279 %
December LUKKO Twitter 9151 picture, link 17.12.2015 0:54 S-ryhmä 3 3 0 0 0,03278 %
December Pelicans Twitter 9422 picture 16.12.2015 10:17 DNA 3 3 0 0 0,03184 %
November Saipa FB 31505 picture 20.11.2015 21:38 UK Koskimies 9 9 0 0 0,02857 %
January Saipa Twitter 10700 text 13.1.2016 4:02 Etelä-Saimaa 3 2 0 1 0,02804 %
January Ilves Twitter 11100 picture 27.1.2016 6:32 Kiilto 3 2 0 1 0,02703 %
January TPS Twitter 11300 picture 20.1.2016 7:50 Asomet Oy 3 3 0 0 0,02655 %
December TPS Twitter 11300 picture 18.12.2015 8:01 Bar Edison 3 3 0 0 0,02655 %
February TPS Twitter 11400 picture 3.2.2016 4:44 Ravintola Rock 3 3 0 0 0,02632 %
December KooKoo Twitter 3878 link 26.12.2015 12:06 Kouvolan Sanomat 1 0 0 1 0,02579 %
December HPK Twitter 7783 picture 17.12.2015 Ekocoil 2 2 0 0 0,02570 %
January HPK Twitter 7783 picture 31.1.2016 Hämeen LVIS-laitehuolto 2 2 0 0 0,02570 %
January HPK Twitter 7783 picture 31.1.2016 Jukolan Apteekki 2 2 0 0 0,02570 %
January HPK Twitter 7783 picture 26.1.2016 Kerho-ravintola 2 2 0 0 0,02570 %
January HPK Twitter 7783 picture 5.1.2016 Lakstedin puutarha 2 2 0 0 0,02570 %
February HPK Twitter 7853 picture 10.2.2016 8:43 Vekka 2 2 0 0 0,02547 %
January Tappara Twitter 12200 text 16.1.2016 12:32 DNA 3 3 0 0 0,02459 %
February Tappara Twitter 12300 text 3.2.2016 9:07 DNA 3 3 0 0 0,02439 %
December Saipa Twitter 10700 picture 26.12.2015 12:23 Auto-Suni 2 2 0 0 0,01869 %
January TPS Twitter 11300 picture 13.1.2016 10:23 DNA 2 2 0 0 0,01770 %
February TPS Twitter 11400 picture 4.2.2016 8:28 Brevini 2 2 0 0 0,01754 %
February TPS Twitter 11400 picture 10.2.2016 10:07 DNA 2 2 0 0 0,01754 %
December Tappara Twitter 12200 text 29.12.2015 9:11 DNA 2 2 0 0 0,01639 %
February Tappara Twitter 12300 text 12.2.2016 3:08 DNA 2 2 0 0 0,01626 %
November Saipa FB 31505 picture 20.11.2015 21:48 Etelä-Saimaa 5 5 0 0 0,01587 %
February HPK Twitter 7853 picture 6.2.2016 7:28 Jukolan Apteekki 1 1 0 0 0,01273 %
January Pelicans Twitter 9422 text 27.1.2016 10:20 DNA 1 1 0 0 0,01061 %
December Pelicans Twitter 9422 text 16.12.2015 10:08 DNA 1 1 0 0 0,01061 %
January TPS Twitter 11300 picture 26.1.2016 7:57 Bar Edison 1 1 0 0 0,00885 %
January TPS Twitter 11300 picture 15.1.2016 10:22 DNA 1 1 0 0 0,00885 %
January TPS Twitter 11300 picture 15.1.2016 10:19 DNA 1 1 0 0 0,00885 %
February TPS Twitter 11400 picture 4.2.2016 10:10 DNA 1 1 0 0 0,00877 %
December Tappara Twitter 12200 text 29.12.2015 0:09 DNA 1 1 0 0 0,00820 %
February Tappara Twitter 12300 text 3.2.2016 3:37 DNA 1 1 0 0 0,00813 %
February Tappara Twitter 12300 text 3.2.2016 9:09 DNA 1 1 0 0 0,00813 %
December KalPa Twitter 7908 text, link 30.12.2015 23:07 OP 0 0 0 0 0,00000 %
December Pelicans Twitter 9422 picture 29.12.2015 10:22 DNA 0 0 0 0 0,00000 %
December Pelicans Twitter 9422 text 29.12.2015 10:23 DNA 0 0 0 0 0,00000 %
January Tappara Twitter 12200 text 26.1.2016 9:04 DNA 0 0 0 0 0,00000 %
January Tappara Twitter 12200 text 17.1.2016 5:45 DNA 0 0 0 0 0,00000 %
January Tappara Twitter 12200 text 17.1.2016 5:44 DNA 0 0 0 0 0,00000 %
January TPS Twitter 11300 picture 15.1.2016 7:51 Bar Edison 0 0 0 0 0,00000 %
78
Appendix 9. Example content: Behind the scenes
79
Appendix 10. Example content: Charity campaigns
80
Appendix 11. Example content: Fans meet players
81
Appendix 12. Example content: Consumer and company
competitions
82
Appendix 13. Example content: Conditional Benefits
83
Appendix 14. Example of inconsistent content: Competition