in a digital age what content does the nfl post to engage
TRANSCRIPT
In a digital age what content does the NFL
post to engage with its fans: an in-depth look
at the engagement of NFL teams on
Instagram.
Kiley Hession
Southern Methodist University
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Abstract
The purpose of this study is to examine what different NFL teams post to their Instagram
accounts to engage with their followers. Additionally, an analysis as to what type of content and
post best engages followers was conducted. This research sought to understand what teams
across the NFL can post to drive more likes and comments in a time when a majority of NFL
fans are unable to see their favorite teams in person. A comparison as to what different
conferences post was also made. Using Erving Goffman’s Self-Presentation Theory (1959),
Instagram posts were coded based on the type of content and the type of posts for a month both
during and leading up to the 2020 NFL Season. The results show that NFL teams tend to post
about their players most on Instagram and there are significant differences in the type of post
shared on Instagram in terms of driving comments. This information can be used to guide NFL
teams when planning out what to post to their fanbases on Instagram.
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Introduction
The way humans engage with each other is continuously changing. Through the
introduction of smartphones and social media channels, the digital world has evolved from a
source of entertainment to a necessity for daily connections (PEW Research, 2019). From the
first social media platform launched in 1997, to today’s trending platforms like Instagram,
Snapchat, and Tik Tok, people are tapped into each other’s lives like never before. Across the
globe, there are about 3.6 billion internet users on social media platforms in 2020 and that
number is continuing to grow each year (Clement, 2020b).
Not only are these social media sites a way to stay in touch with friends and family, but they
also are a way for businesses to communicate with their customers and for celebrities to give
fans a behind the scenes look at their life. Professional athletes share their favorite workout
routines, clothing brands, and silly pictures with their families to their millions of followers.
Milwaukee Bucks star Giannis Antetokounmpo, for example, recently posted a video on Tik Tok
of his him and his teammate singing a famous Michael Jackson song while getting ready for
practice.
[Insert Figure 1 about here]
Fans love feeling like an “insider” getting the exclusive look at what their favorite striker,
quarterback, or point guard does when he or she steps out of the arena (Swarm, 2018). Whether
it’s through their own personal accounts or a team account, staying connected to your fan
community has become crucial because it brings people together and makes them feel connected
to the team (Swarm, 2018). Team accounts are particularly important because they have
exclusive access to players, coaches, and information that journalism outlets do not possess.
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Before social media, all information about a team or player came through the public relations
department sharing it with the media, but now teams have the power to release information
directly to fans (Swarm, 2018). These platforms use a variety of different methods of sharing
information through things like text, graphics, and videos.
Companies, teams and sports leagues also use social media to interact with fanbases, share
information, and develop their brand. As shown in figure 2, the NFL Instagram page posts
highlights for fans as well as any scheduling changes, so fans are finding out straight from the
source. This is another way that fans can feel like an insider by getting updates as soon as they
occur straight from the source. This direct communication allows fans to engage with the
companies, teams, and leagues that they are passionate about and find others similar to
themselves.
[Insert Figure 2 about here]
Instagram has emerged as one of the leading social media sites in terms of engagement with
its users through likes, comments, and shares. A study released in 2014 reported that engagement
on Instagram was 15 times higher than the engagement on Facebook, receiving more than 1.2
billion likes per day (Truong, 2014). On Instagram, people are engaging and connecting already,
but during the coronavirus global pandemic, Instagram and other platforms became even more
prevalent for people to feel a part of communities. Social media usage increased by 61% over
normal usage rates during social isolation where people around the world stayed at home
(Kantar, 2020). During the early months of 2020, people across the world relied on digital tools
even more.
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In March 2020, the world was forced to shut down to help prevent the spread of COVID-19
(AJMC Staff, 2020). During this time, in order to stay connected, millions took to social media
to fill the social void in their lives (Koeze & Popper, 2020). eMarketer conducted a study
between late March and early May on social media usage during the pandemic and reported that
46%-51% of US adults used social media more often since the pandemic began (Samet, 2020).
The study also found that “US adult social network users will spend 7 more minutes per day on
social networks than in 2019” (Samet, 2020, p. 1). And, in a year where there will be limited fans
in stadiums, sports teams and athletes have to find other ways to engage with their fans through
digital platforms.
As this growth in social media usage increases due to the pandemic, professional athletes’
presence on social media platforms has also grown (Clement, 2020a). For example, professional
soccer player Cristiano Ronaldo recorded 237 million Instagram followers in August 2020
(Clement, 2020a) which was over 100 million more than his 116 million followers in 2017
(Hartmans, 2017). This year, two of the top ten most followed Instagram accounts across the
globe were professional athletes’ accounts (Clement, 2020a). The athletes were Ronaldo with
238.89 million followers and Leo Messi with 167.27 million followers (Clement, 2020a).
Ronaldo and Messi’s large followings show how fans want to engage with these players know
what what’s going on in their lives. There is a demand for sports on social media and teams can
help to fill it. Similar to athletes like Ronaldo and Messi, professional leagues and teams are also
seeing an increase of engagement and followers on social media. In April 2020, WWE’s
WrestleMania received a total of 13.8 million social media interactions (WWE.com Staff, 2020).
These interactions were from Facebook, Twitter, and Instagram and included posts pertaining to
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the event or using the WWE’s event hashtag, as well as likes and shares on the WWE posts
(WWE.com Staff, 2020). That 13.8 million engagement was a 57% increase from the last
WrestleMania (WWE.com Staff, 2020). Professional teams and leagues have an opportunity at
hand to supply their fanbases with engaging content in order to better connect. When users enjoy
content on an account, they are more likely to follow the account and engage through likes,
shares, and comments (McLachlan, 2020).
Previous studies have looked into social media in sports, but there are gaps in the research.
Hambrick et al. (2010) looked at professional athletes’ Twitter usage and Vale and Fernandes
(2017) examined sports fans’ Facebook habits. In both of these studies, the research was
conducted usage on Facebook and Twitter, which are older social media platforms. There has
also been research conducted to understand why fans engage with sports teams on Facebook or
why fans follow athletes on Twitter. But there is a lack of understanding about social media from
a professional teams’ standpoint. Team accounts provide the most direct source of information to
its fans since the information posted on teams’ accounts is coming straight from the source,
rather than a third-party reporter (Swarm, 2020). These team accounts are where fans can find
other fans of their specific teams in the comments section and it’s where the most avid fans look
for videos of their favorite players at practice. It is the content most specified content in terms of
a team fan, but there have been few studies looking into how these teams utilize these platforms.
From this research, teams could also learn if they are appropriately engaging with their fans and
can better understand how to utilize Instagram.
This research study will fill that gap by extending our current understanding of athlete use of
Instagram to team use of Instagram. The study focuses specifically on the National Football
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League (NFL) and analyzes the Baltimore Ravens, Houston Texans, Minnesota Vikings, and Los
Angeles Rams Instagram accounts. These four teams are all from different regions of the country
and a part of different divisions. Additionally, they all have a similar amount of Instagram
follower ranging from 1 million – 1.4 million. The teams’ Instagram accounts were analyzed for
1 month during the NFL season and categorized by a variety of factors including type of
picture/video, caption, number of likes, and number of comments.
The research will better explain how Instagram accounts from a professional football team
are run and what the most engaging types of content is. This research will help to understand
how to optimally engage with fans on social media during a time where digital media is more
crucial and influential than ever. Additionally, it will show the gaps in content that is being
posted across these different teams’ Instagram accounts. It can be applied to other teams within
the NFL and adapted to fit each specific fanbase for other sports leagues. Because people are
craving content and looking for digital engagement due to the coronavirus, this study will help to
fill those holes and provide information for other teams and leagues to follow. Overall, this
research is relevant and valuable because of the everchanging time we are living in during the
global pandemic and it will help provide information on the content that engages fans on one of
the most popular social platforms.
Related Work
When looking at social media and analyzing both motives for posting and the
engagement on posts, researchers use two prominent theories. These theories are the “Uses and
Gratifications Theory,” which explains the motives for users engaging on social media, and the
“Self-Motivation Theory,” which explains the type of content posted on these platforms. Both
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theories help to explain how social media is used and how content creators can better utilize
social media accounts. In order to grasp how social media is used by all types of users, it is
critical to first understand the “Uses and Gratifications Theory.”
Uses and Gratifications Theory
In 1974, the “Uses and Gratifications Theory” was used by Blumler and Katz to explain how
and why people seek out social media platforms to satisfy their needs. Following these athletes
and feeling connected to them gratifies them, therefore, making them feel as though they need to
go on social media to feel complete (Blumler & Katz, 1974). Especially in a time when everyone
wants to feel more connected, the Uses and Gratifications Theory better justifies that people need
to be a part of something to be satisfied (Blumler & Katz, 1974). The theory says that people are
driven to certain types of media because of needs that they have (Sundar & Limperos, 2013).
These needs are typically formed before going on social media, so in this case caused by the
digital age and the coronavirus. Although the motivations and needs for going on social media
may not be because of the content, once on the platforms, their needs are satisfied by social
media and being a part of the platform (Sundar and Limperos, 2013). A study from Vale and
Fernandes (2017), looks into why professional European football fans engaged with their
favorite clubs on Facebook (Vale & Fernandes, 2017). By reading through Facebook users’
responses, the two were able to find that fans primarily consume teams’ content for “information
needs” and engage on posts because of “brand love” (Vale & Fernandes, 2017). Because these
fans love their teams and the overall “team brand,” they want to engage with them and feel a part
of the community bond (Vale & Fernandes, 2017). Similarly, Clavio & Kian (2010) used the
Uses and Gratifications Theory to look at Twitter, rather than Facebook. In their study, they
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examined the Twitter account of a retired female athlete and sent a survey out to her followers.
Of the 216 responses they used, Clavio and Kian (2010) found that the former athlete’s followers
were most interested in being her fan and were emotional consumers, meaning that her content
was not for business needs, but rather for emotional needs (Clavio & Kian, 2010). Like Vale and
Fernandes (2017), Clavio and Kian (2010) found that fans followed these sports-related accounts
were for “brand love,” but because it was an athlete’s account rather than a team, there was no
informational desire on the Twitter account. By looking into the Uses and Gratifications Theory,
we have a better understanding of social media from a user’s perspective and why fans follow
athletes and teams on social media. The research conducted for that theory was surveys and
interviews to better understand people’s feelings, but for the research of this study, the Self-
Presentation Theory will be used.
Self-Presentation Theory
The “Self-Presentation Theory” was first developed in 1959 by Erving Goffman and was
focused on social interactions when people could be face-to-face (Goffman, 1959). The theory
posits that people “adopt different identities depending on factors such as the audience or
setting” (Geurin-Eagleman & Burch, 2016, p. 134). Goffman (1959) categorized them into
“frontstage” and “backstage” performances to explain the ways people present themselves at
different times (Goffman, 1959). Frontstage performances define how people act in public, while
backstage performances define how people act when they are alone or in a comfortable, intimate
environment (Goffman, 1959). Goffman (1959) argues that people present themselves a certain
way to the public, showing them the best version of themselves (Goffman, 1959). These
definitions were originally meant for people’s public interactions, but since 1959, social media
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was introduced and thus the theory has evolved to explain digital interactions as well. Studies
over the years have applied the self-presentation theory to platforms including Instagram and
Facebook to better understand how public figures present themselves to the outside world.
On social media platforms, especially those that include photographs, people create an
image to publicize to the outside world. Platforms like Instagram and Facebook allow users to
control what they post and what their profiles look like, similar to how you act in public during a
“frontstage performance.” With the popularity on these platforms, studies have been conducted
to show how social media platforms are used to create a specific brand (Geurin-Eagleman &
Burch, 2016). Geurin-Eagleman and Burch (2016) looked at international Olympic athletes’
Instagram accounts to examine how they present themselves to the outside world, utilizing
Instagram as a personal branding tool. By coding 800 Instagram posts from 8 male and female
athletes, they found that personal life photographs were more popular than business photos, but
the account’s following increased more when business photos were posted (Geurin-Eagleman &
Burch, 2016). Additionally, the more hashtags used in a post, the less likes the post would
receive (Geurin-Eagleman & Burch, 2016). These individual athletes post specific photos of
themselves to show their image, as teams do as well. Anagnostopoulos et al. (2018) examined
how teams “brand through pictures.” They looked at the official Instagram accounts for two
European Soccer League teams and used similar coding methodology to Geurin-Eagleman and
Burch (2016). By analyzing the posts of two teams, they found that although comments are
viewed as a stronger form of engagement on team posts, increasing the number of likes will
better increase the reach the post will get to users on the social media platform, which best
increases awareness of the team (Anagnostopoulos et al., 2018). Additionally, they found that
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content related directly to the “product,” such as posts about players, coaches, or team success,
received higher number of responses compared to “non-product” content that includes
community service and team history (Anagnostopoulos et al., 2018). From Anagnostopoulos et
al. (2018) study, the first study to look at profession sports teams’ utilization of Instagram, they
better understood the power Instagram has a branding tool for teams and athletes through
engagement mechanisms like commenting. Their research contributed to showing how teams can
control what is said about them through Instagram and can have direct communication with their
fans, as well as suggested that players and teams accounts should be synchronized in order to
best promote their team and brand (Anagnostopoulos et al., 2018).
This idea of personal branding is a large factor for why teams and athletes post
(Anagnostopoulos et al., 2018). Although personal branding is one of the most significant
reasons members of the sports industry use social media, research has also shown that
communication with fans also play a part. Hambrick et al. (2010) analyzed how athletes
communicated with their fans and other players via Twitter by breaking down 1962 tweets into
six different categories. From their research, they found that the largest percentage of tweets
were categorized as “interactivity.” Interactivity means that the tweets were focused on
communicating with their followers (Hambrick et al., 2010). The idea of communicating with
fans, as concluded in this study, can not only apply to athletes but can also apply to professional
teams as a reason motivator for using social media. Through both personal branding and
communication, teams and athletes are interacting with their followers.
In addition to the uses for Instagram, like as a branding tool, researchers have also looked
into the content different groups of people post to social media accounts. Anagnostopoulos et al.
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(2018), and Geurin-Eagleman and Burch (2016) looked at the effectiveness of Instagram as a
personal branding tool for teams, while Smith and Sanderson (2015) examined the differences in
gender on Instagram posts. These studies look at the differences between male and female,
athletes and nonathletes, and other groups of people and the type of content they post. Applying
the Self-Presentation Theory, Smith and Sanderson (2015) used a mixed methodology approach
in order to both analyze the content of the posts themselves and analyze the text to identify
patterns within the captions. Using this methodology, they analyzed 1,352 Instagram posts from
2 male and 2 female athletes from 8 sports and drew conclusions about the categories of content
(Smith & Sanderson, 2015). Similar to Geurin-Eagleman and Burch’s (2016) study, they made
conclusions about the frequency of certain types of photos. Smith and Sanderson (2015) found
that 73% of all photos were images of the athlete and 45% of those were of the athlete by
themselves. Smith and Sanderson (2015) also analyzed the differences between the male and
female, thereby taking the research one step further and showing differences in types of post
rather than show what the accounts are used for (Smith & Sanderson, 2015).
Although Anagnostopoulos et al. (2018) research study and others look into Instagram
usage in sports media, more research needs to be done in terms of how NFL teams are posting on
Instagram and how it is best to utilize this platform for football teams. This research will be
similar to the studies discussed above, in that I will look at how teams are using Instagram as a
branding tool like Anagnostopoulos et al. (2018) but will also be looking at the differences
between these different teams’ accounts and analyzing posts similar to Smith and Sanderson
(2015). By not only looking at the overall content, as done in the Olympic athlete study, but by
also looking at the differences among the account’s postings, as conducted in Smith and
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Sanderson’s (2015) study, my research will provide a wholistic view of which teams best engage
with their followers as well as what type of content and type of post is most engaging. As
conducted in the previous studies, similar methodology will be used in that I will code Instagram
content.
After learning more about how sports social media accounts have been studied
throughout the years, gaps that will be filled by this research were identified. Many studies have
been done regarding athletes on Instagram, but there is scarce research about teams on
Instagram. Hambrick and Simmons looked at professional athletes including NFL players on
Twitter but did not look at teams’ Twitter accounts (Hambrick et al., 2010). Other studies like
Vale and Fernandes looked at professional European football teams on Facebook but studied it
from the fan’s perspective rather than from the team’s perspective (Vale & Fernandes, 2017).
This research will fill the gap of social media from a team perspective. By looking into what
different NFL teams currently post, this research will identify what areas they are lacking and
other professional sports organizations and entertainment conglomerates and general can take
this research to measure if they are effectively engaging with fans through their content via
Instagram. Additionally, there have been many studies regarding sports on Facebook and
Twitter, including Vale and Fernandes (2017) as well as Hambrick et al. (2010), but less have
been conducted on Instagram since it is a newer platform than Facebook or Twitter. This
research will help to provide more information to content creators and organizations in terms of
the type of content posted on Instagram.
The gaps mentioned above will be filled by answering the three following research
questions:
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RQ1: What type of content do different NFL teams post on Instagram?
RQ2: What type of content best engages fans in terms of likes and comments?
RQ3: Do teams in different conferences post different content on Instagram?
Methods
The research questions listed above will be answered through a content analysis of the
Baltimore Ravens, Minnesota Vikings, Los Angeles Rams, and Houston Texans teams posts
from September 1, 2020 – September 30, 2020. In this one-month period, all Instagram posts
will be coded to look at the following categories: number of posts during the month, type
of/content of post, engagement rates.
Participants
The data used for research was collected from four NFL teams’ Instagram accounts. Each
team selected for the study is from a different region of the country and is also in a different
conference and division within the NFL. The Baltimore Ravens are located on the East Coast and
are in the AFC North, the Minnesota Vikings are located in the Midwest and are in the NFC
North, the Houston Texans are located in the South and are in the AFC South, and the Los
Angeles Rams are located on the West Coast and are a member of the NFC West. Between the
four teams, there are also two teams from the NFC and two teams from the AFC. These teams
were also selected because of their Instagram following size. As of October 2020, the following
of the four teams ranged from 1 million followers to 1.4 million followers. The Baltimore
Ravens (@ravens) have 1.4 million followers, the Minnesota Vikings (@vikings) have 1 million
followers the Houston Texans (@houstontexans) have 1.3 million followers, and the Los
Angeles Rams (@rams) have 1 million followers. The four teams also have various current
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standings in the NFL during the 2020-2021 NFL season in terms of their playing record. The end
of September, the power rankings for each team varied. The Texans were ranked 25th, the
Vikings were ranked 23rd, the Rams were ranked 9th, and the Ravens were ranked 2nd (Hoge,
2020). With the variations of location, division, and power ranking, as well as a similarity of
following size, NFL teams’ Instagram accounts were accurately assessed with a variation of
representation among standing in the league and location in the country.
Each teams’ Instagram posts were analyzed for the first month of the 2020-2021 NFL
regular season (September 1-September 30). In this month, the NFL both geared up for the
season and kicked off on September 13, showing the contrast in posting in the offseason vs. in
season. 98 posts were posted from the Los Angeles Rams during September, 189 posts were
posted during one month by the Baltimore Ravens, 96 posts were made to Instagram by the
Minnesota Vikings in September, and 88 posts were made by the Houston Texans during
September. In total, 479 Instagram posts were analyzed from the four teams.
Materials
For this study, Microsoft Excel was used to track the data from the Instagram accounts
and perform two-sample t-tests. The categories used were based off of Anagnostopoulos et al.’s
(2018) research study but adapted from two teams’ Instagram accounts to four and altered for the
purposes of this research. The posts from each Instagram account were categorized into 8
categories, stadium, players on the field, players off the field, coaches, information, sponsored
content, game information, team/fan culture. The 471 Instagram posts were also analyzed based
on the number of likes and comments. The total amount of likes and comments for each team
was broken down by total per team as well as per each individual post. Additionally, the total
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likes and comments for each type of post per team was also recorded. From the total amount of
likes and comments for each type of post per team, similarities and differences were identified
between each team. Also, the amount of each type of post was analyzed and looked at in terms of
amount of average engagement to total number of follower’s ratio to better understand which
account had the best following engagement. The engagement in this study is defined through
likes and comments on each post. In order to look at each team equally, since they all have
different numbers of followers, engagement was measured using a ratio taking the number of
comments or likes and dividing it by the total number of followers. The ratios for the different
categories for each team were compared.
Design and Procedure
Data analysis was conducted using Excel to conduct the research for this study. In the
statistical analysis of this data, posts were first looked at in terms of the type of post (video,
image, graphic). A video can be anything from players highlights to a hype video that is not a
still image or photoshop created graphic. An image is a photograph taken either of a player,
coach, stadium, etc. that has not been edited to contain text or other effects in photoshop. A
graphic is any image that has been adapted to contain text or effects, such as quotes from a
player or a happy birthday graphic. The Instagram posts for each team were broken down into
these three post type categories and from there were analyzed based on the content of the post.
When analyzing the content of what each post contained, 8 categories were used
(Anagnostopoulos et al., 2018). The categories were stadium, players in action, players off the
field, coaches, information, sponsored content, team success, fans/team culture. Content
containing the “stadium” is any image, video, or graphic that is focused on the stadium. Content
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containing “players in action” is any image, video, or graphic of a player or group of players
playing football either in a game or in practice. “Players off the field” is any image, video, or
graphic showing a player or group of players doing anything other than football whether that be
dancing, walking into the locker room on game day, etc. Content containing “coaches” is any
image, video, or graphic of a coach at any time whether that be on or off the field. Content
pertaining to “information” is any image, video, or graphic that provides information to a fan or
general user such as a press release or change in game time. “Sponsored content” is any image,
video, or graphic that is for advertising purposes from a paid sponsorship. “Game information” is
any image, video, or graphic displaying a team’s wins and success on the field, or information
about a game. Finally, “fans/team culture” refers to any image, video, or graphic that features
fans, team history, or the culture of said team. No Instagram reels, Instagram stories, Instagram
series, or Instagram shop content was analyzed in this research. Descriptions and examples of
each category for the Instagram post can be seen in Table 1.
[Insert Table 1 about here]
Once each post from every team was categorized by both the type of post and the content,
the number of likes and comments from each post were coded and analysis was conducted to
look at the total number of likes per team for videos, total number of likes per team for graphics,
and the total number of likes per team for images. The same was also done for total number of
like and comments per team for each of the eight content categories. Once all the data was
collected, similarities and differences were measured and anova and t-tests were conducted on
the data to show the significance of the differences found. From there results were collected and
conclusions were drawn.
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Results and Analysis
The total number of Instagram posts analyzed between the four teams during the month
of September was 471. The posts were categorized by type of content (video, image, or graphic),
and type of post (stadium, players in action, players off the field, coaches, information,
sponsored content, game information, or fans/team culture). The types of engagement that was
measured were likes and comments for the Ravens, Vikings, Rams, and Texans. First, the total
number of posts for each type of post and type of content was recorded and analyzed. Then,
posting tendencies were analyzed between conferences and teams. Following, engagement was
measured and compared between the types of content and types of post through a
comments/followers or likes/followers ratio and anova and t-tests.
Similarities and Differences in Posts
When conducting an overview of fan engagement, the total number of posts during the
month of September were found, as were total number of likes and comments, as seen in Table 2.
[Insert Table 2 about here]
After finding the total number of posts, the total number of posts for each category per
team was found. All of this information and a breakdown of each team can be found in Table 3.
[Insert Table 3 about here]
In terms of type of content, the Ravens and Rams both posted images the most as
opposed to videos or graphics. The Ravens posted 117 images of their 189 posts, while the Rams
posted 39 images of their 98 posts. The Vikings and Texans posted videos the most, with 43
videos for the Vikings and 33 videos for the Texans. In regard to the type of post from the eight
categories listed above, all four teams posted players off the field the most, the Vikings tied
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between players in action and players off the field (with 29 each). The Ravens, Rams, and
Texans all posted about their stadiums the least with 1-2 total posts during the entire month.
In order to see whether the teams posting habits differed, anova tests were done to show
if there were any significant differences between the teams’ type of content and type of post. The
anova test conducted to find differences between each of the four teams regarding type of
content resulted in a p-value of .35 > .05, showing that there was no significant difference
between the type of content each team posts. The anova test used for the type of post for each
team had a p-value of .50 > .05, also showing that there was no significant difference between
the type of post between each team. This information shows that although there were differences
in the amount in each category that each team posts to Instagram, there was no significant
difference. After looking at each team, the two conferences were compared to find any
differences.
Comparisons of Posts Between Teams in Difference Conferences
An analysis into the differences between the AFC and the NFC was conducted following
an analysis between the four teams used in this study. A full look at the comparisons between the
NFC and AFC teams can be found in Table 4.
[Insert Table 4 about here]
The AFC teams (Ravens and Texans) overall posted 148 images, while the NFC teams
(Vikings and Rams) posted 63. The NFC teams posted more graphics than the AFC teams with
62 to 50. And the AFC teams posted 10 more videos than the NFC teams with 79 to 69. When
conducting an anova test regarding whether or not the differences in types of content were
significant between the two conferences, a p-value of .39 > .05 was found. From this anova test,
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a conclusion was drawn that there was no significant difference between the type of content the
NFC and AFC posts. Once looking at content, the types of posts were analyzed between
divisions.
In terms of types of posts, the NFC and AFC varied in some categories. For example, the
AFC posted 120 posts of their players off the field, while the NFC posted only 59. Similarly, the
NFC posted 33 posts of game information, while the AFC posted 17. In other categories,
however their posting tendencies were the same. For stadiums and coaches, the two conferences
posted almost the same amount. Although there were some differences in the types of posts the
two conferences posted, when conducting an anova test, there was no significant difference
between the two conferences. A p-value of .55 > .05 was found, proving that the types of posts
each conference shares on Instagram was not significantly different.
From this information, it can be concluded that the NFC and the AFC post similar content
to their Instagram accounts in terms of both type of content and type of post. Although when
looking at the numbers the posts vary, that was because teams in general posted various number
of total posts. For example, the Ravens shared 189 posts, while the Vikings shared 96 during the
month of September. Overall, for each teams’ allotted posts during the month of September the
content did not differ significantly.
Comparisons of Likes and Comments Between Types of Posts and Types of Content
After comparing the postings between conferences and teams, the ratios in terms of
comments and likes per following were found for each team. The engagement rates of each type
of content and post were compared in an anova test. A full list of the engagement rates for each
team used in the anova test can be found in Table 5.
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[Insert Table 5 about here]
The first anova test was conducted to determine if there was any significant difference in
the engagement rates for the three types of content. From the anova tests, it was found that in
terms of comments there was an anova test p-value of .415 > .05, proving that there was no
significant difference between engagement rates for images, videos, and graphics. In terms of
likes, the anova test p-value when comparing images, videos, and graphics was .508 > .05, also
showing that there was not a significant difference in terms of likes on the different content.
From these findings, it can be concluded that there was not a significant difference in the
engagement rates between graphics, images, and videos. So, teams can post any of the three
types of content and receive similar engagement rates.
Once conclusions were drawn based on images, graphics, and videos, anova tests were
again conducted to find out if there was a significant difference between engagement rates on the
eight different types of posts. From the anova test conducted concerning comments across the
four teams’ posts on stadiums, players in action, players off the field, coaches, information,
sponsored content, game information, and fan/team culture the p-value was .0004283 < .05,
showing that there was a significant difference. After finding this value, t-tests were conducted to
cross-reference all eight categories in order to identify where these significant differences were.
From the t-tests, it was concluded that there was a significant difference in terms of comments
between stadium posts and players in action, stadium posts and game information, players in
action and coaches, players in action and sponsored content, players in action and fan/team
culture, coaches and game information, information and game information, and sponsored
content and game information. From these results, NFL teams can use this information to
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identify what types of posts receive significantly more comments than others. For example, from
the results, players in action posts prompted significantly more comments than stadium posts and
sponsored content posts. So, teams should find a way to incorporate players in action posts into
their sponsored content campaigns, in order to increase comment engagement. Additionally,
game information received significantly more comments than sponsored content, so this could
also be an area where teams combine their sponsored content and game information posts to
receive more engagement for their sponsors, who pay for the posts.
From this analysis of examining similarities and differences of teams’ posting, as well as
conference postings, and the engagement rates across the four teams, conclusions were be drawn
regarding what NFL teams posts and what they should post moving forward to best engage with
their fanbases.
Discussion
This research study is one of the first to look at NFL teams’ postings on Instagram and its
effectiveness in terms of engagement. Although other sports, such as soccer, have been analyzed
in the past, it was only with two teams. And, other studies have analyzed athletes or fans usage
of Instagram, but there is a lack of information regarding how a professional team uses
Instagram.
The first research question (RQ1) asked “what type of content do different NFL teams
post on Instagram?” This question was answered by the similarities and differences in posts
(Table 2).
[Insert Table 3 about here]
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From this, it is found that mainly images are posted amongst these four Instagram
accounts. Teams post many still images on their Instagram accounts, whether its players walking
into the locker room, or fans getting pumped on gameday. Instagram was originally created for
still images to be posted and NFL teams have stuck to that original purpose by posting 211
images across all four teams during the month of September. Additionally, from the differences
and similarities in posts, it was found that the type of posts that is most often shared was players
off the field. Overall, teams are posting content of their players doing anything other than
catching a football in order to show fans what their team is like and to give them a behind the
scenes looks into player operations. Anagnostopoulos et al. (2018) found similar information in
terms of what soccer clubs post on Instagram. They classified their types of posting into
“product” and “non-product” (Anagnostopoulos et al., 2018). Product posts were defined as any
post having to do with the game soccer, players, and the product on the field (Anagnostopoulos
et al., 2018). Non-product was defined as all other posts made to the Instagram outside of the
product, including traditions, fans, and the stadium (Anagnostopoulos et al., 2018). In their
research, they found that posts related to the product were shared most often, similar to the NFL.
This suggests that across different sports leagues, social media managers believe that a variety of
posting is best, but postings of the product should be shared most often. Although posts of
players are shared the most on these NFL teams’ Instagram accounts, that does not necessarily
mean they are best way to engage followers.
The second research question (RQ2) “what type of content best engages fans in terms of
comments and likes?” was answered by an analysis of engagement across all four teams (number
comments in a category / total number of followers). From this research, overall images seemed
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to best engage fans across all four teams, recording the highest engagement rate in terms of likes
(235.01%) and in terms of comments (1.76%). The most engaging content during the month of
September for these four teams was posts that had to do with the players, most specifically off
the field. For all four teams, their highest engagement in terms of likes came from players off the
field. For engagement rates regarding comments, the Ravens and Texans highest rate came from
players off the field, while the Vikings and Rams highest engagement rate for comments came
from game information. With this analysis, in order to best engage with fans teams should post
mainly of their players, primarily off the field to give fans an inside look into what happens off
the field. Similar to the Ravens and Texans focusing primarily on players off the field and
receiving high engagement rates, the soccer club LFC had a similar strategy and also received
more engagement (Anagnostopoulos et al., 2018). Anagnostopoulos et al.’s (2018) study
supports the idea this research that players should be posted more on Instagram because it tends
to engage fans. In addition to posts of players, game information should also be posted more
often since that had a significant difference in terms of engagement. This game information
should be posted on days other than gameday, however, since it receives high engagement. This
could include prompting fans to comment their favorite play from the previous week or predict
scores for the upcoming game. In terms of overall type of post, images best engaged fans, so
teams should focus their efforts on getting the best images possible for their Instagram.
The third research question (RQ3) “do teams in different conferences post different
content on Instagram?” can be answered by looking at the analysis of posting numbers across the
four teams. Although when looking at the numbers, there were some differences. For example,
the two AFC teams posted more fans/team culture posts than the two NFC teams and the two
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NFC teams posted more about game information than the two AFC teams. Overall, the four
accounts posted fairly similar posts and no significant difference was found. The main difference
found was that the posts were similar but what type of content they used for that type of post
varied. For example, the Ravens posted images of their players entering the stadiums, while the
Rams posted videos instead. Overall, there were some differences in their posting, but the two
conferences were fairly similar, as they are all catering to NFL fans.
With the analysis from this study, NFL teams will be able to better cater to their fans,
increase engage on sponsored content, and identify how to best engage with fans during the
coronavirus pandemic. The results from this research extend previous research in that there is
now a study explaining how NFL teams post on Instagram. Before, studies were primarily
focused on athletes or fans, but this study explains a team side of Instagram usage.
Although there were many conclusions done during this research there were some
limitations, which can allow for further research to be conducted in the future. This research
could only be done over the course of a month, so future researchers could build upon the current
research by examining NFL teams’ Instagram accounts for a longer period of time. Additionally,
only four teams were looked at in this study. Although their accounts are similar, not all NFL
teams post the same, so looking at other teams with fewer followers than at least 1 million or
more followers than 1.4 million could also further the research. Additionally, comparing teams
from different categories could also be done in the future. In this study it looked at a team from
each region of the country (east coast, Midwest, south, and west coast). Future studies could look
at the last four teams to win the Super Bowl or teams from the original NFL (like Packers, Bears,
etc.). There is still a lot of research that can be done, but despite my limitations, this research
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furthers the information regarding what professional football teams posts on Instagram to engage
with their fans/followers and which of this content is actually engaging fans.
Conclusions and References
In 2020, social media platforms have been heavily relied on to engage with fans while
isolated from stadiums. This research begins to fill the gap regarding how to best engage with
NFL fans on Instagram from a team’s perspective. From the research, it was found that game
information and players in action received significantly more engagement in terms of comments
than sponsored content. This information can be used to explain how NFL teams should structure
their sponsored content campaigns within their accounts, to prompt engagement to show to their
sponsors. With this research, other NFL teams can look at these engagement results and shift
how they’re posting to their followers on Instagram. Additionally, they can use the analysis done
to conduct their own team analysis to best cater to their fanbases. Overall, this research will help
to further develop the idea of engaging with fans digitally and help to best attract new followers
and encourage engagement on Instagram postings. By doing this, teams will be able to engage
with their followers and fans while not seeing them in person.
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Appendix
Figures
Figure 1: Giannis Antetokounmpo’s TikTok account with a post showing him dancing with his teammates. This shows how athletes today can connect with their fans directly on social media.
Figure 2: The NFL’s Instagram account posts a variety of different content to directly communicate with fans. As seen in the first row of images at the bottom, they posted a
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graphic updating fans on game times due to COVID-19, a graphic promoting Thanksgiving games, and images from a game.
Tables
Table 1: shows a breakdown of all the different types of content and types of posts analyzed for this research study as well as examples of the content on Instagram.
Table 2: shows a breakdown of various numbers when coding NFL teams’ Instagram posts for the month of September. These include the total number of posts, total number of likes and comments during the month, the total number of likes / total number of posts, the total number of comments / total number of posts, and the followings of each team.
Table 3: this shows what each team posted during the month of September in terms of type of content (video, image, and graphic) and type of post (stadiums, players in action, players off the field, coaches, information, sponsored content, game information, and fans/team culture). It also shows which was the most popular type of content or post for each team and which was the least popular. It also shows the total number for each category for the four teams during the month of September.
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Table 4: this shows an in-depth look at the different types of content and types of posts from the AFC and NFC. The AFC teams consist of the Baltimore Ravens and Houston Texans data, while the NFC consists of the Los Angeles Rams and Minnesota Vikings data.
Table 5: this shows an in-depth analysis of the engagement ratios by likes and comments for each team during the month of September. The engagement ratio was found by the total number of likes or comments in each category divided by the total number of followers for