Tennessee Football
Official Twitter for the University of Tennessee Football program | National Championships: 6🏆 | SEC Championships: 13🏆 | #GBO
809,573
Followers
1,810
Following
76,596
Tweets
1,264.8
Avg Engagement
2,150
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Vol_Football's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2010-08-21
- Verification:Yes
- Location:Knoxville, TN
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1,069.4
- Avg Retweets per Tweet:195.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains high engagement levels through consistent interaction with followers and sharing of notable moments. Retweets and likes indicate strong support from the fanbase.
1,069.4
Avg Likes/Tweet
195.4
Avg Retweets/Tweet
3,475,652
Total Likes
634,920
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
604
Median Likes
78
Median Retweets
1,432
75th Percentile
45,205
Top Tweet
1.56
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.2%
Original
4.6%
Replies
19.7%
Retweets
2.5%
Quotes
0.0%
Threads
0.2%
With Media
86.0%
With Links
47.6%
With #Tags
48.9%
With @Mentions
53.2%
With Emojis
90
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.2%
Weekday Posts
40.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 640 retweets (20% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,250 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe primary audience consists of college football fans, particularly those interested in the University of Tennessee program. The account also engages with fans through hashtags like #GBO and #VFL.
Below Average
Audience Quality
36.2%
Suspicion Index
56.4%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.6%
Empty Bio
64.4%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
61.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
52.3%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
11,335,531
Total Potential Reach
4
Median Follower Reach
31
75th Percentile Reach
1.9%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
16.9%
Creators
8,463 accounts
18.7%
Consumers
9,354 accounts
64.4%
Dormant
32,183 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
928
Verified Followers
0.93% of total
6,869
Protected Accounts
6.87% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @PatMcAfeeShow | 2,835,054 | Sports commentator | Sports, Betting, Entertainment |
| @jdickerson | 1,917,542 | Journalist | News, Politics, Journalism |
| @CBSSports | 1,378,127 | Sports Media | Sports, News, Updates |
| @weirddalle | 1,357,067 | - | - |
| @WhistleBlitz | 1,156,454 | - | - |
| @MarshaBlackburn | 978,651 | Politician | politics, tennessee, service |
| @LisaMarieBoothe | 834,126 | Political Commentator | - |
| @ZachBoychuk | 829,942 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 801,923 | Activism | equality, bullying, discrimination |
| @PapiTrumpo | 778,479 | Satire Account | Politics, Humor, Social Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,333
Followers With Bio
58,667
Followers Without Bio
41.33%
% With Bio
58.67%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed177,377
Combined Engagement
152,927
Total Likes
24,450
Total Retweets
35,475
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Legend achievement unlocked. @jalinhyatt https://t.co/qrZsvLMQq1
THE GOALPOSTS HAVE LEFT THE BUILDING
FINAL DAMN SCORE https://t.co/4T1lSY5cPY
Thank you @henhook2 🙏 #VFL https://t.co/7IlJWpFOmj
Y'all remember how we tore the goalposts down, hauled em out of Neyland and dumped em in the Tennessee River? Yeah that was awesome. Anywho, turns out that in order to play next week's game, we need goalposts on our field. Could y'all help us out? 🙏 https://t.co/NSMoL3SzPX
Key Insights & Takeaways
The account leverages its large following to promote team achievements and fan recognition It uses hashtags and mentions to foster community and engagement The focus on key moments and fan interactions strengthens its connection with followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 809,573
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @Vol_Football reveals an exceptionally influential Twitter presence with 809,573 followers. The account demonstrates a content-creator strategy, averaging 1,264.8 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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