Michael Fabiano
Senior Fantasy Analyst for Sports Illustrated. Host on SiriusXM Fantasy Sports Radio and Westwood One. FSWA Hall of Famer. Formerly of CBS Sports and NFL.
512,052
Followers
4,338
Following
120,023
Tweets
481.9
Avg Engagement
6,971
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Michael_Fabiano'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:2009-05-02
- Verification:No
- Location:Wellington, FL
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:17.7
- Avg Retweets per Tweet:464.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests that his content is both informative and entertaining.
17.7
Avg Likes/Tweet
464.2
Avg Retweets/Tweet
57,546
Total Likes
1,507,195
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
64
75th Percentile
117,152
Top Tweet
0.94
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
39.5%
Original
11.4%
Replies
43.8%
Retweets
5.3%
Quotes
0.0%
Threads
0.0%
With Media
50.1%
With Links
12.1%
With #Tags
79.2%
With @Mentions
7.9%
With Emojis
134
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.2%
Weekday Posts
33.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 1,423 retweets (44% 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 3,247 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 followersHis followers are likely fantasy sports enthusiasts, sports fans, and individuals interested in analysis and commentary. The audience is engaged with his content and values his insights and humor.
Below Average
Audience Quality
49.4%
Suspicion Index
74.7%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.3%
Empty Bio
96.9%
<10 Tweets
0.5%
Mass Following (>2K)
0.0%
New (<90 days)
98.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
99.5%
No URL
96.2%
<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.
2,162,831
Total Potential Reach
1
Median Follower Reach
2
75th Percentile Reach
0.2%
>1K followers
0.1%
>10K followers
0.0%
>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).
1.8%
Creators
903 accounts
1.3%
Consumers
656 accounts
96.9%
Dormant
48,441 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):
661
Verified Followers
0.65% of total
4,216
Protected Accounts
4.17% 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 |
|---|---|---|---|
| @JohnCena | 14,105,066 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WWERollins | 4,218,798 | Wrestler | Wrestling, Leadership, Visionary |
| @JenSelter | 1,237,883 | Fitness influencer | Fitness, Health, Recipes |
| @WhistleBlitz | 1,156,155 | - | - |
| @Saudi49er | 1,139,471 | Entrepreneur | faith, trust, gratitude |
| @wingoz | 992,565 | Sports Analyst | Sports, Podcasting, Quarterbacks |
| @NOH8Campaign | 801,790 | Activism | equality, bullying, discrimination |
| @danpfeiffer | 695,902 | Political Commentator | Podcasts, Politics, Writing |
| @PlanetTyrus | 622,896 | Commentator | Wrestling, Acting, Comedy |
| @NickAdamsinUSA | 509,405 | Author | Writing, Patriotism, Ocean |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,958
Followers With Bio
52,037
Followers Without Bio
48.48%
% With Bio
51.52%
% 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 3,247 analyzed434,519
Combined Engagement
0
Total Likes
434,519
Total Retweets
86,904
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @TomBrady: Truly grateful on this day. Thank you 🙏🏻❤️ https://t.co/j2s2sezvSS
RT @HamlinIsland: Putting love into the world comes back 3xs as much… thankful for everyone who has reached out and prayed. This will make…
RT @JoshAllenQB: Please pray for our brother.
RT @BuffaloBills: The thoughts and prayers of all of Bills Mafia are supporting you, Damar. 🙏 https://t.co/lDWNAOEPX4
RT @HamlinIsland: The love is felt, & extremely real. No matter race or religion everybody coming together in prayer! 🙏❤️
Key Insights & Takeaways
He often shares personal reflections and opinions on sports and culture, which resonate with his audience. He uses humor and storytelling to connect with followers, making his content more relatable. He highlights the importance of community and camaraderie in fantasy sports leagues.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 512,052
- + 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 @Michael_Fabiano reveals an well-established Twitter presence with 512,052 followers. The account demonstrates a content-creator strategy, averaging 481.9 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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