UGA Football Live
Georgia football news & info • In partnership with @AthlonSports • [email protected] • (Not affiliated with #UGA) • #GoDawgs
182,975
Followers
911
Following
37,677
Tweets
81.3
Avg Engagement
524
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UGAfootballLive'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:2012-12-14
- Verification:No
- Location:Athens, GA
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:71.6
- Avg Retweets per Tweet:9.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has an average of 4,415 likes and 953 retweets per tweet, showing consistent engagement. Verified accounts make up 0.5% of its followers, suggesting a mix of real and possibly fake accounts.
71.6
Avg Likes/Tweet
9.7
Avg Retweets/Tweet
232,827
Total Likes
31,380
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
1
Median Retweets
47
75th Percentile
16,679
Top Tweet
0.44
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
96.0%
Original
1.4%
Replies
1.7%
Retweets
0.9%
Quotes
0.0%
Threads
1.4%
With Media
72.4%
With Links
2.6%
With #Tags
5.2%
With @Mentions
3.2%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.3%
Weekday Posts
42.7%
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 54 retweets (2% 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 is likely Georgia football fans and sports enthusiasts interested in updates and highlights. The account's content appeals to both casual viewers and dedicated followers of the team.
Average
Audience Quality
31.6%
Suspicion Index
43.8%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.6%
Empty Bio
48.1%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
60.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
36.1%
<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.
30,233,767
Total Potential Reach
9
Median Follower Reach
66
75th Percentile Reach
2.6%
>1K followers
0.3%
>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).
29.5%
Creators
14,769 accounts
22.3%
Consumers
11,162 accounts
48.1%
Dormant
24,069 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):
492
Verified Followers
0.49% of total
9,213
Protected Accounts
9.12% of total
5 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 | 14,100,544 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,333,809 | Restaurateur | Food, Travel, Influencer |
| @WhistleBlitz | 1,154,071 | - | - |
| @LeBronJames | 1,010,615 | - | - |
| @HerschelWalker | 919,178 | Politician | Politics, Sports, Leadership |
| @DanielNewman | 812,008 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @SleepSkee | 710,105 | Musician | Music, Independent, Artist |
| @TayeDiggs | 646,898 | Actor | acting, chocolate, hosting |
| @tanjaplayner | 499,156 | Artist | Pop Art, Artist, Artworks |
| @3YearLetterman | 430,594 | Youth Coach | Youth Football, Georgia Fan, High School Football |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,205
Followers With Bio
53,792
Followers Without Bio
46.74%
% With Bio
53.26%
% 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 analyzed37,815
Combined Engagement
32,403
Total Likes
5,412
Total Retweets
7,563
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Stetson Bennett, thank you. We're forever grateful. The greatest ever. https://t.co/69SZObyNsu
Kelee Ringo, the guy who brought it home for us for the first time in 41 years, will leave as a two time title winner. And he'll forever be a DGD. https://t.co/flihIQDC5L
Georgia’s been playing football since 1892. This is my favorite play ever. https://t.co/ezDQthigGX
DAWGS WIN!!!!! DAWGS WIN!!!! DAWGS WIN!!!!
Is this the biggest national title game blowout ever?
Key Insights & Takeaways
The account frequently highlights key players like Stetson Bennett and Kelee Ringo, emphasizing their contributions to the team's success. It shares historical context, such as Georgia's football history dating back to 1892, which adds depth to its content. The use of hashtags like #GoDawgs reinforces team spirit and community identity.
Strengths
- + Established follower base of 182,975
- + 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 @UGAfootballLive reveals an growing Twitter presence with 182,975 followers. The account demonstrates a content-creator strategy, averaging 81.3 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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