Bob Huggins
West Virginia Men's Basketball Coach Bob Huggins HOF '22
155,653
Followers
267
Following
2,609
Tweets
239.2
Avg Engagement
477
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CoachHuggs'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:2012-02-08
- Verification:No
- Location:Morgantown, WV
Data Summary
- Tweets Analyzed:2,572
- Avg Likes per Tweet:170.8
- Avg Retweets per Tweet:68.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,572 tweetsThe account maintains a high level of engagement, with most tweets receiving a large number of likes and retweets. The top tweets often include personal reflections and acknowledgments of fan support.
170.8
Avg Likes/Tweet
68.4
Avg Retweets/Tweet
439,387
Total Likes
175,952
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
22
Median Retweets
122
75th Percentile
26,405
Top Tweet
1.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
50.1%
Original
9.8%
Replies
37.4%
Retweets
2.7%
Quotes
0.0%
Threads
0.3%
With Media
52.2%
With Links
25.8%
With #Tags
66.7%
With @Mentions
13.0%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,572 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 962 retweets (37% 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 2,572 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 audience primarily consists of sports fans, basketball enthusiasts, and followers of West Virginia University athletics. The account also engages with other sports figures and fans who appreciate Huggs' contributions to the sport.
Average
Audience Quality
25.0%
Suspicion Index
34.4%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.4%
Empty Bio
31.4%
<10 Tweets
10.3%
Mass Following (>2K)
0.0%
New (<90 days)
46.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
22.4%
<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.
53,722,712
Total Potential Reach
34
Median Follower Reach
185
75th Percentile Reach
4.8%
>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).
47.9%
Creators
23,956 accounts
20.7%
Consumers
10,349 accounts
31.4%
Dormant
15,695 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):
458
Verified Followers
0.46% of total
8,490
Protected Accounts
8.49% of total
7 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 | 14,101,593 | Wrestler | Wrestling, Motivation, Self-promotion |
| @stoolpresidente | 2,902,341 | Entrepreneur | Sports, Stocks, Entrepreneurship |
| @PatMcAfeeShow | 2,837,777 | Sports commentator | Sports, Betting, Entertainment |
| @6BillionPeople | 2,033,195 | - | - |
| @BarstoolBigCat | 1,645,003 | Sports commentator | Sports, Podcasting, Gambling |
| @UKCoachCalipari | 1,583,698 | - | - |
| @soledadobrien | 1,317,896 | Journalist | working, mom, journalist |
| @RexChapman | 1,254,382 | Commentator | Basketball, Horse racing, Commentary |
| @jimrome | 1,242,852 | Sports commentator | Sports, Talk Show Host, Instagram |
| @DickieV | 955,427 | Sportscaster | Basketball, Broadcasting, Philanthropy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,866
Followers With Bio
57,134
Followers Without Bio
42.87%
% With Bio
57.13%
% 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 2,572 analyzed90,992
Combined Engagement
75,552
Total Likes
15,440
Total Retweets
18,198
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Mood: https://t.co/GcGvLFEBBr
How right you are @FrankMartin_SC https://t.co/0n7qTNddGX
Wanted to take a second and thank everyone for reaching out to me and congratulating me on my 900th win. I can't get back to everyone but I wanted to let everyone know how appreciative I am to all for the kind words. Again, thanks to all and Let's Go Mountaineers!
What an incredible job @stoolpresidente is doing with the Barstool fund. We need more positive stories like this going into 2021, and of course, more mountaineer W's!
@stoolpresidente don't worry about it brother, peoples true colors always come out in the most trying times. Regardless, would love you and @BarstoolBigCat to come down for the Kansas game in Morgantown this year. Promise it will be an unforgettable experience! https://t.co/Lmkk1
Key Insights & Takeaways
The account frequently shares personal and professional milestones, such as the 900th win, which highlights key achievements in Huggs' career. Engagement is driven by fan interaction and appreciation for Huggs' work, as seen in the high likes and retweets. The content often includes direct interactions with other athletes and coaches, which helps build a sense of community and connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 155,653
- + 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 @CoachHuggs reveals an well-established Twitter presence with 155,653 followers. The account demonstrates a content-creator strategy, averaging 239.2 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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