App State Football
Official Account of App State Football | IG: APPSTATE_FB | 4-time @SunBelt 🏆 | 6-time bowl 🏆 | 3-time national 🏆
93,499
Followers
494
Following
10,711
Tweets
210.0
Avg Engagement
443
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AppState_FB'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:2013-03-05
- Verification:No
- Location:Boone, NC
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:180.2
- Avg Retweets per Tweet:29.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,238 tweetsThe account maintains a high level of engagement with an average of 7,024 likes and 957 retweets per tweet. This indicates strong fan interaction and interest in the team's content.
180.2
Avg Likes/Tweet
29.8
Avg Retweets/Tweet
583,410
Total Likes
96,572
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
97
Median Likes
11
Median Retweets
225
75th Percentile
29,235
Top Tweet
2.25
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.6%
Original
3.5%
Replies
9.7%
Retweets
9.2%
Quotes
0.0%
Threads
0.3%
With Media
91.9%
With Links
73.7%
With #Tags
46.0%
With @Mentions
37.9%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.7%
Weekday Posts
36.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 314 retweets (10% 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 3,238 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 college football fans, particularly those interested in Appalachian State University and the Sun Belt Conference. The content appeals to both casual viewers and dedicated supporters.
Good
Audience Quality
17.0%
Suspicion Index
17.4%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
17.3%
Empty Bio
28.9%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
26.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
63.1%
No URL
17.5%
<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.
3,427,205
Total Potential Reach
87
Median Follower Reach
221
75th Percentile Reach
3.2%
>1K followers
0.3%
>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).
33.2%
Creators
3,321 accounts
37.9%
Consumers
3,791 accounts
28.9%
Dormant
2,888 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):
176
Verified Followers
1.76% of total
412
Protected Accounts
4.12% 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 |
|---|---|---|---|
| @EvanKirstel | 347,262 | Tech Influencer | Tech, B2B, Social media |
| @nocontextcfb | 184,479 | - | - |
| @GregAtkinson | 93,365 | Consultant | Author, Speaker, Entrepreneur |
| @Jaaythompson_ | 86,943 | Streamer/Content Creator | Gaming, Content Creation, Social Media |
| @CMPD | 80,561 | Law Enforcement | Law enforcement, Charlotte, News |
| @CoachCollins | 53,178 | Football Coach | Football, Coaching, Winning |
| @EMCCathletics | 52,879 | Athletics | Football, Athletics, Champions |
| @Coach_Cab | 43,635 | - | - |
| @5StarPreps | 37,053 | - | - |
| @Coach_QWilson | 33,707 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,270
Followers With Bio
1,730
Followers Without Bio
82.7%
% With Bio
17.3%
% 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 3,238 analyzed59,791
Combined Engagement
52,784
Total Likes
7,007
Total Retweets
11,958
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Ann Arbor, Michigan https://t.co/LTv3ThVbtK
𝙃𝙤𝙬𝙙𝙮 👋 https://t.co/9NgbuorlC3
Miracle on the Mountain: The Sequel! #GoApp #SCTop10 https://t.co/5CxOkuBqeS
𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗚𝗮𝗺𝗲𝗗𝗮𝘆 ✔️ 𝗨𝗻𝗳𝗼𝗿𝗴𝗲𝘁𝘁𝗮𝗯𝗹𝗲 𝗪𝗶𝗻 ✔️ #GoApp https://t.co/OnXTV5RTLU
!!!!!!!!!!!!!!!!!
Key Insights & Takeaways
The account frequently shares links to significant game moments and highlights, which likely drive traffic and engagement. The use of hashtags like #GoApp and #SCTop10 helps in increasing visibility and community interaction. The inclusion of multimedia content such as videos and images enhances the storytelling and fan experience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 93,499
- + 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 @AppState_FB reveals an well-established Twitter presence with 93,499 followers. The account demonstrates a content-creator strategy, averaging 210.0 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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