ODU Football
The Official Twitter Account of the Old Dominion University Football Program | Follow us on Instagram 📸: odufootball | #ReignOn 🦁
72,888
Followers
886
Following
22,454
Tweets
82.4
Avg Engagement
354
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ODUFootball'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:2009-05-11
- Verification:No
- Location:Norfolk, Virginia
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:59.5
- Avg Retweets per Tweet:22.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,222 tweetsThe account maintains a steady level of engagement, with a mix of likes and retweets indicating a loyal and active follower base. The use of hashtags and links to other platforms like Instagram enhances interaction.
59.5
Avg Likes/Tweet
22.9
Avg Retweets/Tweet
191,864
Total Likes
73,630
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
9
Median Retweets
102
75th Percentile
3,477
Top Tweet
1.13
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
65.6%
Original
3.5%
Replies
27.0%
Retweets
3.9%
Quotes
0.0%
Threads
0.2%
With Media
96.6%
With Links
77.6%
With #Tags
62.4%
With @Mentions
46.2%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 871 retweets (27% 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 3,222 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 audience primarily consists of fans of Old Dominion University football, potential recruits, and sports enthusiasts. The account also attracts followers interested in college athletics and NFL connections.
Good
Audience Quality
15.4%
Suspicion Index
13.3%
Low-Quality %
116
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
14.6%
Empty Bio
21.2%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
24.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
59.0%
No URL
11.9%
<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.
3,403,542
Total Potential Reach
116
Median Follower Reach
271
75th Percentile Reach
3.7%
>1K followers
0.3%
>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).
41.9%
Creators
4,187 accounts
36.9%
Consumers
3,691 accounts
21.2%
Dormant
2,122 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):
172
Verified Followers
1.72% of total
400
Protected Accounts
4.0% 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 |
|---|---|---|---|
| @ncsa | 222,781 | Recruiting | College recruiting, Future, Sports |
| @757teamz | 119,196 | Sports Reporter | High school sports, Hampton Roads, Instagram |
| @PickSixPreviews | 86,030 | College Football Analyst | College football, Heisman, All-America |
| @5StarScouting | 46,974 | Football Recruiter | Football, Recruiting, Highlight Film |
| @DawnDavenportTN | 35,396 | - | - |
| @coachmikehayde | 35,253 | - | - |
| @CoachJones256 | 30,350 | - | - |
| @NikkiMccray15 | 23,302 | - | - |
| @tomlobianco | 23,287 | - | - |
| @ShrineBowl | 23,040 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,539
Followers With Bio
1,461
Followers Without Bio
85.39%
% With Bio
14.61%
% 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 3,222 analyzed11,849
Combined Engagement
5,551
Total Likes
6,298
Total Retweets
2,370
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @WashingtonNFL: Hell of an effort, 4️⃣ 👏👏👏 https://t.co/4GjxVitRfk
Hey, haven’t we seen that one before?? 🧐 https://t.co/zNzft9EQqk
They grow up so fast 🥲 📸 @WashingtonNFL | #ODU2NFL https://t.co/6VkZ2SE6Jg
RT @WashingtonNFL: HEINICKE!!!!!!!!!!!!! @budlight | #BudLightCelly https://t.co/UPKj8sjql6
Ricky Rahne Named ODU Football Head Coach #ODUFB | #Monarchs https://t.co/QlnzbpKfmd
Key Insights & Takeaways
The account frequently shares nostalgic or repetitive content, which may indicate a focus on fan nostalgia or viral trends. It highlights player achievements and NFL connections, suggesting an effort to build brand recognition and recruit interest. The use of verified accounts and consistent branding reinforces credibility and professionalism.
Strengths
- + Established follower base of 72,888
- + 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 @ODUFootball reveals an growing Twitter presence with 72,888 followers. The account demonstrates a content-creator strategy, averaging 82.4 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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