Liberty Football
Official Twitter account of Liberty Flames Football 🔥 2019, 2020 and 2021 Bowl Game Champions 🏆
82,201
Followers
440
Following
12,511
Tweets
174.2
Avg Engagement
316
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LibertyFootball'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: Mid-Tier (10K+)
- Account Age:2009-05-28
- Verification:No
- Location:Lynchburg, VA
Data Summary
- Tweets Analyzed:3,213
- Avg Likes per Tweet:138.2
- Avg Retweets per Tweet:36.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,213 tweetsThe account sees consistent engagement with an average of 3,577 likes and 637 retweets per tweet. The content is well-received, indicating a strong connection with the audience.
138.2
Avg Likes/Tweet
36.1
Avg Retweets/Tweet
443,883
Total Likes
115,923
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
75
Median Likes
14
Median Retweets
202
75th Percentile
10,102
Top Tweet
2.12
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.5%
Original
9.3%
Replies
17.5%
Retweets
6.8%
Quotes
0.0%
Threads
0.2%
With Media
88.5%
With Links
20.6%
With #Tags
56.1%
With @Mentions
39.0%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.4%
Weekday Posts
42.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,213 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 562 retweets (17% 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 3,213 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 10,000 followersThe primary audience consists of sports fans, students, and alumni of Liberty University, with a focus on football enthusiasts. The content appeals to those interested in college sports and team culture.
Good
Audience Quality
12.7%
Suspicion Index
11.2%
Low-Quality %
119
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
11.8%
Empty Bio
19.9%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
19.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
57.8%
No URL
10.5%
<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.
3,622,747
Total Potential Reach
119
Median Follower Reach
252
75th Percentile Reach
3.8%
>1K followers
0.4%
>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).
38.0%
Creators
3,795 accounts
42.2%
Consumers
4,216 accounts
19.9%
Dormant
1,989 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):
227
Verified Followers
2.27% of total
309
Protected Accounts
3.09% 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 |
|---|---|---|---|
| @michaeljohns | 229,175 | Political Activist | Tea Party, Speechwriting, Policy Analysis |
| @frankkolnacki | 63,079 | Investor | Jesus, positivity, investment |
| @GoMVB | 53,019 | Athlete Recruiter | Athlete Recruiting, Promotion, College Coaches |
| @basketbllnews | 51,252 | Sports Journalist | Basketball, News, Coverage |
| @ConferenceUSA | 50,776 | Sports Conference | Sports, Collegiate Athletics, Competition |
| @Tony_TDUB | 49,286 | Football Coach | Family, Football, Brotherhood |
| @coachisaacFB | 46,314 | - | - |
| @poetWOAgun | 44,664 | Artist | Artist, Musician, Poet |
| @willykorn | 42,764 | Football Coach | Football, Coaching, Quarterbacks |
| @JeremyO_Johnson | 38,457 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,817
Followers With Bio
1,183
Followers Without Bio
88.17%
% With Bio
11.83%
% 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 3,213 analyzed27,485
Combined Engagement
23,273
Total Likes
4,212
Total Retweets
5,497
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
“I want to thank You for all that You’ve done in our lives” @malikwillis closes his big day in prayer 🙏 https://t.co/smZ1HITmJu
1/7 LIKE and RETWEET to enter to win a limited edition @malikwillis #NFLDraft card. https://t.co/vztW2RokF9
Thank you, coach. https://t.co/JyrvXMN4HU
In honor of Lavel Davis Jr., Devin Chandler and D'Sean Perry we take the field wearing navy and orange. #VirginiaStrong https://t.co/Pu4vji2HyC
Dear Seniors ... https://t.co/mMl52s9wKT
Key Insights & Takeaways
The account frequently highlights player achievements and team milestones, which likely drives engagement. It emphasizes community and gratitude, fostering a sense of unity and support. The use of hashtags and calls to action encourages interaction and sharing.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 82,201
- + 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 @LibertyFootball reveals an well-established Twitter presence with 82,201 followers. The account demonstrates a content-creator strategy, averaging 174.2 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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