Colorado Men's Basketball
Tweets from Colorado Men's Hoops 🦬 | 2012 Pac-12 Champs | 7 NBA Draft picks under @CoachTadBoyle | #GoBuffs
73,608
Followers
487
Following
21,464
Tweets
93.3
Avg Engagement
448
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CUBuffsMBB'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:2009-06-25
- Verification:Yes
- Location:Boulder, CO
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:72.8
- Avg Retweets per Tweet:20.5
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,234 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active fan base.
72.8
Avg Likes/Tweet
20.5
Avg Retweets/Tweet
235,559
Total Likes
66,238
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
36
Median Likes
5
Median Retweets
98
75th Percentile
10,608
Top Tweet
1.27
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
73.2%
Original
6.1%
Replies
15.6%
Retweets
5.2%
Quotes
0.0%
Threads
0.3%
With Media
90.9%
With Links
35.3%
With #Tags
42.6%
With @Mentions
62.1%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 503 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 3,234 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 9,998 followersThe audience is primarily sports fans, especially those interested in college basketball and the Colorado Buffaloes team.
Average
Audience Quality
22.3%
Suspicion Index
22.8%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.3%
Empty Bio
24.7%
<10 Tweets
18.8%
Mass Following (>2K)
0.0%
New (<90 days)
40.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.7%
No URL
15.3%
<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.
10,718,483
Total Potential Reach
79
Median Follower Reach
256
75th Percentile Reach
4.7%
>1K followers
0.5%
>10K followers
0.2%
>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).
46.4%
Creators
4,636 accounts
28.9%
Consumers
2,893 accounts
24.7%
Dormant
2,469 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):
178
Verified Followers
1.78% of total
719
Protected Accounts
7.19% of total
4 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 |
|---|---|---|---|
| @DeionSanders | 1,591,741 | Coach | Truth, Standtghtr, CoachPrime |
| @trailblazers | 1,549,764 | Basketball Team | basketball, Portland, Pacific Northwest |
| @united | 1,176,097 | Airline | travel, aviation, customer service |
| @ZachBoychuk | 826,259 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @IamMzilikazi | 553,133 | Musician | Pan-African music, Album, Rise |
| @WayneDupreeShow | 501,122 | - | - |
| @FrankCaliendo | 428,216 | Comedian | Comedy, Impersonations, Sports |
| @TyIsDigital | 206,741 | Crypto Investor | Crypto, Entrepreneur, Investor |
| @rebeccagrants | 188,573 | Sportscaster | movies, TV, sports |
| @madverse | 136,278 | Poet | poetry, Dada, Surrealism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,967
Followers With Bio
3,033
Followers Without Bio
69.67%
% With Bio
30.33%
% 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 3,234 analyzed22,720
Combined Engagement
5,436
Total Likes
17,284
Total Retweets
4,544
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @celtics: DERRICK WHITE FOR THE WIN
RT @SDinwiddie_25: https://t.co/SZXPUY5AIL
Coach Prime in the building 😎 #GoBuffs https://t.co/hzLaTyFK4j
Coach Prime x Mr. Big Shot 🦬 #GoBuffs https://t.co/bbq2zwZegu
On to the next 😎 #BUFFSWIN https://t.co/jk2kr2kzyP
Key Insights & Takeaways
The account frequently references Coach Tad Boyle and NBA draft picks, highlighting key figures in the program. Content often includes hashtags like #GoBuffs, reinforcing team identity and community. Top tweets feature creative and engaging content, such as collaborations with other accounts and celebratory themes.
Strengths
- + Established follower base of 73,608
- + 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 @CUBuffsMBB reveals an growing Twitter presence with 73,608 followers. The account demonstrates a content-creator strategy, averaging 93.3 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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