Ohio State Football
๐ข๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐ง๐๐ถ๐๐๐ฒ๐ฟ ๐ผ๐ณ ๐ง๐ต๐ฒ ๐ข๐ต๐ถ๐ผ ๐ฆ๐๐ฎ๐๐ฒ ๐๐๐ฐ๐ธ๐ฒ๐๐ฒ๐ โข 8x National Champs โข 39x Big Ten Champs โข 7 Heisman Trophies ๐
699,185
Followers
988
Following
18,187
Tweets
1,393.5
Avg Engagement
1,754
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OhioStateFB'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:2016-04-21
- Verification:No
- Location:Columbus, OH
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1,245.3
- Avg Retweets per Tweet:148.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives high engagement, with an average of 37,258 likes and 5,311 retweets per tweet. The content is well-received, indicating strong community interaction and support.
1,245.3
Avg Likes/Tweet
148.3
Avg Retweets/Tweet
4,047,130
Total Likes
481,827
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
760
Median Likes
64
Median Retweets
1,538
75th Percentile
194,624
Top Tweet
1.99
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
71.0%
Original
3.1%
Replies
5.3%
Retweets
20.6%
Quotes
0.0%
Threads
0.1%
With Media
92.5%
With Links
54.4%
With #Tags
45.8%
With @Mentions
58.3%
With Emojis
67
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
3.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
50.0%
Weekday Posts
50.0%
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 171 retweets (5% 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 football fans, alumni, and students who are passionate about Ohio State athletics. The account also attracts general sports enthusiasts interested in college football.
Average
Audience Quality
32.5%
Suspicion Index
48.8%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.1%
Empty Bio
56.5%
<10 Tweets
3.8%
Mass Following (>2K)
0.0%
New (<90 days)
56.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
43.4%
<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.
8,963,666
Total Potential Reach
6
Median Follower Reach
41
75th Percentile Reach
2.0%
>1K followers
0.2%
>10K followers
0.0%
>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).
22.4%
Creators
11,193 accounts
21.1%
Consumers
10,539 accounts
56.5%
Dormant
28,268 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):
722
Verified Followers
0.72% of total
6,695
Protected Accounts
6.69% of total
2 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 |
|---|---|---|---|
| @CBSSports | 1,378,211 | Sports Media | Sports, News, Updates |
| @NBCSports | 1,294,971 | Sports Media | Sports, News, Entertainment |
| @WhistleBlitz | 1,156,340 | - | - |
| @HerschelWalker | 918,586 | Politician | Politics, Sports, Leadership |
| @FrankCaliendo | 430,936 | Comedian | Comedy, Impersonations, Sports |
| @Moreno | 430,287 | Influencer | Business, Manager, Serious |
| @realjoshmathews | 409,195 | Executive Assistant | Parenting, Education, Organization |
| @Blaney | 325,489 | NASCAR Driver | NASCAR, Jedi, Ethics |
| @laurentbaheux | 247,770 | Photographe | Animaux sauvages, Photographie, Engagement |
| @Schultz_Report | 235,442 | Sports Analyst | Sports, Analysis, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,477
Followers With Bio
55,523
Followers Without Bio
44.48%
% With Bio
55.52%
% 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 analyzed348,347
Combined Engagement
276,751
Total Likes
71,596
Total Retweets
69,669
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Leader. Legend. Forever a Buckeye. https://t.co/yxwaIewN9V
Once a Buckeye, Always a Buckeye https://t.co/sXADa4HvEq
RT @justnfields: Yโall hit that retweet button for me. Appreciate yโall!! #ProBowlVote #DaBears @justnfields https://t.co/BzflWaYoiH
https://t.co/LWgTr6Yq9a
7 forever. https://t.co/ehlUSp1LSZ
Key Insights & Takeaways
The account emphasizes loyalty and pride in being a Buckeye, which resonates deeply with its audience. The use of iconic phrases like 'Once a Buckeye, Always a Buckeye' reinforces brand identity and emotional connection. High engagement suggests that fans are highly invested in the team's success and history.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 699,185
- + 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 @OhioStateFB reveals an exceptionally influential Twitter presence with 699,185 followers. The account demonstrates a content-creator strategy, averaging 1,393.5 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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