Ohio Football
The official home of Ohio Football | Head Coach - @CoachAlbin | #OUohyeah
58,377
Followers
359
Following
14,848
Tweets
100.5
Avg Engagement
327
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OhioFootball'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:2012-03-27
- Verification:No
- Location:Athens, Ohio
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:83.6
- Avg Retweets per Tweet:17.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,239 tweetsThe account maintains a high level of engagement with an average of 2,240 likes and 441 retweets per tweet, indicating strong fan interaction. The content is well-received and often shared within the community.
83.6
Avg Likes/Tweet
17.0
Avg Retweets/Tweet
270,627
Total Likes
55,053
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
9
Median Retweets
121
75th Percentile
5,914
Top Tweet
1.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.8%
Original
2.9%
Replies
25.8%
Retweets
4.5%
Quotes
0.0%
Threads
0.4%
With Media
91.1%
With Links
41.3%
With #Tags
45.1%
With @Mentions
34.8%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 835 retweets (26% 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 3,239 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 Ohio football fans, alumni, and supporters who are deeply invested in the team's performance and history. The content is tailored to evoke pride and loyalty among the fanbase.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
101
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.3%
No URL
100.0%
<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.
19,519,611
Total Potential Reach
101
Median Follower Reach
249
75th Percentile Reach
3.5%
>1K followers
0.4%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
492
Protected Accounts
4.92% 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 |
|---|---|---|---|
| @JohnCena | 14,097,957 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ZachBoychuk | 823,829 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @TandMHD | 246,543 | Music Producer | Music, Production, TV |
| @ncsa | 223,506 | Recruiting | College recruiting, Future, Sports |
| @nocontextcfb | 184,515 | - | - |
| @RobbieBarstool | 137,397 | Podcaster | sports, podcasting, music |
| @madverse | 137,212 | Poet | poetry, Dada, Surrealism |
| @BCLions | 129,814 | Sports Team | Football, Grey Cup, Customer Support |
| @MelissaOnline | 122,252 | Entrepreneur | Entrepreneurship, Coffee, Action |
| @BreesAnna | 97,373 | Journalist | journalism, mobile filming, teaching |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,240
Followers With Bio
1,760
Followers Without Bio
82.4%
% With Bio
17.6%
% 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 3,239 analyzed16,749
Combined Engagement
14,667
Total Likes
2,082
Total Retweets
3,350
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
It’s hard to put in words what @CoachSolich has done for Ohio football. Today, Frank Solich announces his retirement. Thank you, coach Solich. Read more: https://t.co/M3wh2NHShF https://t.co/2OZN9TYkd1
Let's hear it for the MAC's winningest head coach! #BleedGreen #SolichMAC111 #MACtion https://t.co/VpSNw0FecC
"Football at Ohio has been a big part of my life." - Frank Solich Now, Frank Solich will be a part of Ohio football forever. We now play at Frank Solich Field at Peden Stadium. READ MORE: https://t.co/J7oN7YMAMH https://t.co/fTW0cLAQYy
WHAT A CATCH. WHAT A WIN. https://t.co/828j4qRzfb
Congrats on your day with @HuskerFBNation, Coach Solich! https://t.co/stXonk6qYf
Key Insights & Takeaways
The account heavily promotes the legacy and impact of Frank Solich, highlighting his contributions to the team's success. It uses hashtags and special tags to create a sense of community and shared identity among fans. The content often includes emotional and nostalgic messages that resonate deeply with the fanbase.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,377
- + 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 @OhioFootball reveals an well-established Twitter presence with 58,377 followers. The account demonstrates a content-creator strategy, averaging 100.5 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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