UCLA Athletics
The official Twitter account of the UCLA Athletic Department. Champions Made Here. #GoBruins
93,208
Followers
753
Following
50,762
Tweets
51.2
Avg Engagement
1,051
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UCLAAthletics'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:2009-02-18
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:29.8
- Avg Retweets per Tweet:21.4
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,250 tweetsThe account maintains a consistent level of engagement with an average of 1,527 likes and 271 retweets per tweet. Its posts often include links and hashtags to drive traffic and interaction.
29.8
Avg Likes/Tweet
21.4
Avg Retweets/Tweet
96,842
Total Likes
69,614
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
9
Median Retweets
49
75th Percentile
7,342
Top Tweet
0.55
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
15.2%
Original
1.2%
Replies
68.1%
Retweets
15.5%
Quotes
0.0%
Threads
0.4%
With Media
96.2%
With Links
67.8%
With #Tags
83.0%
With @Mentions
74.4%
With Emojis
150
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
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 2,213 retweets (68% 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 10,999 followersThe primary audience includes UCLA fans, students, alumni, and sports enthusiasts interested in college athletics. The content is also likely to engage local and national media outlets.
Average
Audience Quality
32.3%
Suspicion Index
42.0%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.7%
Empty Bio
52.5%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
60.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.7%
No URL
41.3%
<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.
7,865,919
Total Potential Reach
12
Median Follower Reach
94
75th Percentile Reach
3.2%
>1K followers
0.6%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
26.3%
Creators
2,894 accounts
21.2%
Consumers
2,336 accounts
52.5%
Dormant
5,769 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):
125
Verified Followers
1.14% of total
775
Protected Accounts
7.05% 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 |
|---|---|---|---|
| @united | 1,175,221 | Airline | travel, aviation, customer service |
| @Moreno | 430,844 | Influencer | Business, Manager, Serious |
| @Huskers | 422,504 | Athletics | Football, Athletics, Big Ten |
| @UWBadgers | 376,294 | Sports Team | Sports, Wisconsin, Badgers |
| @ProFootballHOF | 316,165 | Sports Organization | Football, Hall of Fame, History |
| @BigTenNetwork | 283,156 | Sports Media | College sports, Big Ten, TV network |
| @bigten | 170,707 | Sports Conference | Sports, College, Athletics |
| @umterps | 161,376 | Sports Team | Football, College Sports, Bowl Game |
| @TJLakers01 | 140,459 | Veteran | Christian faith, Conservative, Trump fan |
| @travisa850 | 129,634 | Cannabis Advocate | Cannabis, GreenLove, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,300
Followers With Bio
4,699
Followers Without Bio
57.28%
% With Bio
42.72%
% 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 analyzed15,185
Combined Engagement
10,726
Total Likes
4,459
Total Retweets
3,037
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
𝗕𝗜𝗚 news! UCLA is joining the Big Ten Conference at the start of the 2024-25 season! 👀 ➡️: https://t.co/ygoY70o2bo #GoBruins https://t.co/Cgj5orGhiI
RT @CFBONFOX: Only 16 undefeated teams remain 👀💯 RT if your team is still undefeated this season 🙌 https://t.co/ILJOPmqBTV
𝗦𝗢𝗟𝗗 𝗢𝗨𝗧! 70,865. Thank you Bruins! 🙌🏈 #GoBruins https://t.co/qQw3MjJ187
Statement from Athletic Director, @MartinJarmond. ⤵️ #GoBruins https://t.co/sbL8jwWNs1
The stars are in the building! ✨ https://t.co/PL9cAr0dgg
Key Insights & Takeaways
The account frequently shares major announcements and event updates, which likely drive high engagement. It uses hashtags like #GoBruins to reinforce brand identity and community connection. Promotional content, such as ticket sales and event highlights, is a recurring theme.
Strengths
- + Established follower base of 93,208
- + 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 @UCLAAthletics reveals an growing Twitter presence with 93,208 followers. The account demonstrates a content-creator strategy, averaging 51.2 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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