TCU Athletics
The Official Twitter account of the Horned Frogs #GoFrogs
103,148
Followers
367
Following
27,605
Tweets
72.5
Avg Engagement
488
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TCU_Athletics'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:2009-06-18
- Verification:No
- Location:Fort Worth, Texas
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:46.0
- Avg Retweets per Tweet:26.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account consistently receives high average likes and retweets, indicating strong audience interaction. Its use of event-specific hashtags and promotional content helps drive engagement and visibility.
46.0
Avg Likes/Tweet
26.5
Avg Retweets/Tweet
149,566
Total Likes
85,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
59
75th Percentile
5,298
Top Tweet
0.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
28.8%
Original
1.4%
Replies
62.6%
Retweets
7.1%
Quotes
0.0%
Threads
0.8%
With Media
97.1%
With Links
83.8%
With #Tags
78.8%
With @Mentions
55.1%
With Emojis
140
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.7%
Weekday Posts
34.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 2,035 retweets (63% 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 3,249 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 TCU students, alumni, and sports fans who are passionate about the university and its athletic teams. The content is tailored to engage both local and national followers interested in campus life and sports events.
Average
Audience Quality
24.5%
Suspicion Index
29.3%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.8%
Empty Bio
35.6%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
44.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.6%
No URL
23.8%
<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.
21,784,381
Total Potential Reach
38
Median Follower Reach
160
75th Percentile Reach
3.6%
>1K followers
0.5%
>10K followers
0.1%
>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).
35.5%
Creators
3,546 accounts
29.0%
Consumers
2,897 accounts
35.6%
Dormant
3,557 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):
173
Verified Followers
1.73% of total
811
Protected Accounts
8.11% 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 | 14,093,001 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DezBryant | 3,483,840 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @Reflog_18 | 545,455 | - | - |
| @shomaristone | 230,997 | Reporter | News, Emmy Awards, Journalism |
| @ArlingtonPD | 132,914 | Law Enforcement | Law enforcement, community engagement, safety |
| @travisa850 | 129,488 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @tedfujimoto | 100,690 | Education | Education, Innovation, Leadership |
| @exoticgamora | 97,965 | Activist | Human rights, Civil rights, Kindness |
| @NightQuenee | 86,646 | Influencer | Gaming, Cosplay, Anime |
| @anthonynoto | 71,010 | CEO | Fatherhood, CEO, NFL |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,519
Followers With Bio
3,481
Followers Without Bio
65.19%
% With Bio
34.81%
% 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 3,249 analyzed18,728
Combined Engagement
11,283
Total Likes
7,445
Total Retweets
3,746
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @DBane0625: Just to show y’all what type of teammate JA is ‼️ My Dawggg fasho 🤝 @JaMorant https://t.co/fTCKD2BDku
Going to the 'ship! #FiestaFrogs #GoFrogs https://t.co/wyaofwAPSO
Don’t let the size of our school fool you… Horned Frogs know how to show up and show out! 📍Santa Monica Pier #GoFrogs https://t.co/iNLCxDN3G0
GP, forever. 💜 https://t.co/ElBLldYYUg
First in Texas 😤 #GoFrogs https://t.co/UKysNyTAmH
Key Insights & Takeaways
The account frequently highlights major events and traditions, such as the Fiesta Bowl, to foster community pride. It uses location-based content to connect with fans in specific areas, like Santa Monica Pier. Prominent use of hashtags like #GoFrogs and #FiestaFrogs helps in increasing reach and brand recognition.
Strengths
- + Established follower base of 103,148
- + 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 @TCU_Athletics reveals an growing Twitter presence with 103,148 followers. The account demonstrates a content-creator strategy, averaging 72.5 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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