Kellen Sampson
Assistant Men's Basketball Coach at the University of Houston
12,688
Followers
2,383
Following
11,297
Tweets
116.4
Avg Engagement
66
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kellenmsampson'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:2009-05-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:26.5
- Avg Retweets per Tweet:89.9
- Followers Analyzed:12,261
Engagement Analysis
Based on 3,242 tweetsHis tweets typically receive around 1,175 likes and 100 retweets on average, indicating a loyal and engaged following. The high engagement suggests his content is relatable and impactful.
26.5
Avg Likes/Tweet
89.9
Avg Retweets/Tweet
85,927
Total Likes
291,397
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
55
75th Percentile
46,105
Top Tweet
9.17
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
6.6%
Original
1.9%
Replies
58.6%
Retweets
32.8%
Quotes
0.0%
Threads
0.5%
With Media
88.5%
With Links
36.9%
With #Tags
77.2%
With @Mentions
41.2%
With Emojis
128
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 1,900 retweets (59% 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 3,242 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 12,261 followersHis audience includes fellow coaches, basketball enthusiasts, and fans of the University of Houston team. The content resonates with individuals who value hard work and emotional authenticity.
Good
Audience Quality
14.9%
Suspicion Index
12.6%
Low-Quality %
278
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
20.7%
Empty Bio
8.6%
<10 Tweets
25.2%
Mass Following (>2K)
0.0%
New (<90 days)
20.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
70.8%
No URL
4.5%
<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.
52,895,956
Total Potential Reach
278
Median Follower Reach
900
75th Percentile Reach
23.1%
>1K followers
3.3%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.0%
Creators
9,195 accounts
16.4%
Consumers
2,011 accounts
8.6%
Dormant
1,055 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):
249
Verified Followers
2.03% of total
856
Protected Accounts
6.98% of total
8 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 | 14,106,644 | Wrestler | Wrestling, Motivation, Self-promotion |
| @blakegriffin23 | 4,382,037 | Basketball Player | Basketball, Comedy, Fashion |
| @verified | 4,201,228 | - | - |
| @6BillionPeople | 2,038,891 | - | - |
| @BarstoolBigCat | 1,643,773 | Sports commentator | Sports, Podcasting, Gambling |
| @ZachLowe_NBA | 977,806 | Sports Journalist | NBA, Basketball, Analysis |
| @abc13houston | 897,149 | News Anchor | News, Severe Weather, Houston |
| @TheAndyKatz | 489,118 | Sports Journalist | College basketball, March Madness, Sports analysis |
| @JonRothstein | 348,655 | Sports Journalist | College Basketball, CBS Sports, Podcast |
| @ByPatForde | 343,626 | Sports Journalist | Sports, Writing, Feedback |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,720
Followers With Bio
2,541
Followers Without Bio
79.28%
% With Bio
20.72%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,242 analyzed142,548
Combined Engagement
0
Total Likes
142,548
Total Retweets
28,510
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BernieSanders: Breonna Taylor’s life mattered. This result is a disgrace and an abdication of justice. Our criminal justice system is racist. The time for fundamental change is now. https://t.co/IPmO9upXbK
RT @AdamParkhomenko: This is one hell of an ad from a Democrat running for Congress. The question is whether people will watch it and share it. https://t.co/QYTpSv8OMb
RT @drdavidsamadi: New COVID-19 survival rates per CDC: 0-19: 99.997% 20-49: 99.98% 50-69: 99.5% 70 & over: 94.6% AMAZING NEWS!
RT @BleacherReport: Michael Jordan and Jordan Brand to donate $100M over the next 10 years to causes that ensure racial equality, social justice and greater access to education. @brkicks https://t.co/1dw3fZqD2j
RT @patbev21: Hoopers say what y’all want. If @KingJames said he hooping. We all hooping. Not Personal only BUSINESS🙏🏾🙏🏾🙏🏾 🙏🏾 #StayWoke ✊🏿✊🏿✊🏿
Key Insights & Takeaways
His tweets often reflect on the challenges and rewards of coaching, showing a deep connection to his role. He openly shares personal and emotional moments, which helps build a genuine connection with his audience. He frequently acknowledges and respects competitors, highlighting a professional and respectful attitude.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,688
- + 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 @kellenmsampson reveals an well-established Twitter presence with 12,688 followers. The account demonstrates a content-creator strategy, averaging 116.4 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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