Michael Vick
FOX Sports | FS1 NFL analyst https://t.co/v07HxK8NFk
2,555,515
Followers
1,290
Following
8,809
Tweets
634.6
Avg Engagement
7,862
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MichaelVick'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: Mega Influencer (1M+)
- Account Age:2009-10-22
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:335.9
- Avg Retweets per Tweet:298.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,206 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
335.9
Avg Likes/Tweet
298.7
Avg Retweets/Tweet
1,076,808
Total Likes
957,675
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
75
Median Likes
33
Median Retweets
423
75th Percentile
98,988
Top Tweet
0.25
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
60.7%
Original
6.2%
Replies
25.2%
Retweets
8.0%
Quotes
0.0%
Threads
0.6%
With Media
51.1%
With Links
42.6%
With #Tags
55.3%
With @Mentions
24.0%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.32
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 3,206 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 807 retweets (25% 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 3,206 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 audience primarily consists of football fans and sports enthusiasts interested in NFL analysis and commentary.
Average
Audience Quality
27.6%
Suspicion Index
31.8%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.2%
Empty Bio
29.1%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
65.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
19.5%
<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.
39,972,243
Total Potential Reach
23
Median Follower Reach
102
75th Percentile Reach
3.6%
>1K followers
0.5%
>10K followers
0.1%
>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).
47.2%
Creators
23,581 accounts
23.7%
Consumers
11,874 accounts
29.1%
Dormant
14,545 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):
1,085
Verified Followers
1.07% of total
11,321
Protected Accounts
11.21% of total
5 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 | 14,106,013 | Wrestler | Wrestling, Motivation, Self-promotion |
| @llcoolj | 4,968,786 | Rapper | Music, Hip-hop, Entertainment |
| @CBSSports | 1,377,933 | Sports Media | Sports, News, Updates |
| @richeisen | 1,337,639 | Sports Broadcaster | Sports, TV, Humor |
| @sherylunderwood | 1,318,979 | TV Host | Talk show, radio, sorority |
| @Mathieu_Era | 1,288,154 | Football Player | Football, Defense, Leadership |
| @workwthecoach | 877,580 | - | - |
| @KendrickPerkins | 677,945 | Basketball Player | Basketball, Country, Individualism |
| @unkonfined | 657,652 | Influencer | - |
| @markschlereth | 598,627 | Sports Broadcaster | Sports, Radio, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,621
Followers With Bio
41,378
Followers Without Bio
59.03%
% With Bio
40.97%
% 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 3,206 analyzed300,263
Combined Engagement
89,943
Total Likes
210,320
Total Retweets
60,053
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
Lamar Jackson 5x better than what I was at V-Tech....Enough said!! #future
RT @KingJames: Love me or Hate me but at the end of the day u will RESPECT me!!
RT @Braves: THE ATLANTA BRAVES ARE WORLD SERIES CHAMPIONS! #BattleATL | #ForTheA https://t.co/rDXjLj4HSj
I’m saddened to hear about the passing of my beloved Coach Dan Reeves. He was a great husband, father and mentor to so many. I loved him like a father and he will truly be missed. My prayers are with his family during this time. Love you, Coach. https://t.co/LBUmhqySDE
RT @KingJames: Once again it's on @DwyaneWade!! 👑 ⚡️
Key Insights & Takeaways
He often highlights player performances and comparisons, showcasing his deep understanding of the game. He frequently expresses personal sentiments and respects the legacy of coaches and mentors. He celebrates team achievements, particularly playoff wins, which resonate well with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,555,515
- + 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 @MichaelVick reveals an well-established Twitter presence with 2,555,515 followers. The account demonstrates a content-creator strategy, averaging 634.6 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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