ECU Football
Official Twitter of ECU Football 🏴☠️ #PirateNation
97,344
Followers
5,866
Following
11,288
Tweets
143.0
Avg Engagement
400
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ECUPiratesFB'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:2012-01-06
- Verification:No
- Location:Greenville, N.C.
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:119.0
- Avg Retweets per Tweet:24.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,201 tweetsEach tweet typically receives around 1,417 likes and 289 retweets on average, indicating strong fan interaction. The verified status of 1.6% suggests a mix of official and personal accounts engaging with the content.
119.0
Avg Likes/Tweet
24.0
Avg Retweets/Tweet
381,079
Total Likes
76,805
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
74
Median Likes
10
Median Retweets
189
75th Percentile
6,949
Top Tweet
1.47
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.3%
Original
8.4%
Replies
15.5%
Retweets
4.8%
Quotes
0.0%
Threads
0.1%
With Media
93.8%
With Links
30.4%
With #Tags
39.1%
With @Mentions
66.0%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.0%
Weekday Posts
41.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 497 retweets (16% 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 3,201 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 is ECU football fans, likely students, alumni, and local supporters. The content appeals to those who are emotionally invested in the team's success and community identity.
Good
Audience Quality
19.4%
Suspicion Index
21.8%
Low-Quality %
72
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.6%
Empty Bio
30.8%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
31.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
67.8%
No URL
20.1%
<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.
3,911,887
Total Potential Reach
72
Median Follower Reach
212
75th Percentile Reach
3.6%
>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).
34.5%
Creators
3,454 accounts
34.6%
Consumers
3,462 accounts
30.8%
Dormant
3,084 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):
161
Verified Followers
1.61% of total
470
Protected Accounts
4.7% 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 |
|---|---|---|---|
| @Canes | 565,233 | Sports Team | hockey, Carolina, #LetsGoCanes |
| @Schultz_Report | 201,590 | Sports Analyst | Sports, Analysis, Podcasts |
| @jjjinvesting | 157,454 | Investor | Investing, Contrary Options, Vietnam Veteran |
| @travisa850 | 129,635 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @MikeyOver1 | 91,017 | Student | College, BookitHQ, Drinks |
| @UTSA | 85,621 | Education | Education, Innovation, Community |
| @CoachCollins | 53,186 | Football Coach | Football, Coaching, Winning |
| @CoachGolesh | 51,522 | - | - |
| @SugarBowlNola | 37,807 | - | - |
| @Coach_QWilson | 33,712 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,640
Followers With Bio
2,360
Followers Without Bio
76.4%
% With Bio
23.6%
% 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 3,201 analyzed18,332
Combined Engagement
1,788
Total Likes
16,544
Total Retweets
3,666
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @espn: Raiders WR @zayjones11 shares a powerful interaction he had today. https://t.co/P4qIWpkWXH
RT @Ericthomasbtc: Trust The Process! #TGIM @KingJames @Lakers https://t.co/rdhoUcJGFr
RT @nflthrowback: CJ2K’s 2009 season was legendary 🔥 @ChrisJohnson28 https://t.co/x1ra8LU0aC
RT @Raiders: Are you not entertained?!? @zayjones11 and @derekcarrqb called game. Blouses. (via @NFL) https://t.co/3xitL23HKN
BOWL CHAMPS 🏆 https://t.co/6S1dmdZfKK
Key Insights & Takeaways
The account frequently shares game highlights and celebratory content, which drives engagement. It uses emojis and exclamation marks to convey excitement and energy. The use of hashtags like #PirateNation helps build a sense of community and identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,344
- + 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 @ECUPiratesFB reveals an well-established Twitter presence with 97,344 followers. The account demonstrates a content-creator strategy, averaging 143.0 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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