Mike Evans
Wide Receiver for the Tampa Bay Bucs
198,195
Followers
1,258
Following
7,190
Tweets
4,488.2
Avg Engagement
745
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MikeEvans13_'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:2011-04-29
- Verification:No
- Location:Galveston/CStat/Tampa
Data Summary
- Tweets Analyzed:3,112
- Avg Likes per Tweet:503.1
- Avg Retweets per Tweet:3,985.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,112 tweetsThe account consistently generates high engagement, indicating a strong connection with his audience. His tweets often go viral, contributing to his large following and influence.
503.1
Avg Likes/Tweet
3,985.1
Avg Retweets/Tweet
1,565,607
Total Likes
12,401,631
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
62
Median Retweets
835
75th Percentile
707,951
Top Tweet
22.65
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
15.6%
Original
10.9%
Replies
64.4%
Retweets
9.2%
Quotes
0.0%
Threads
0.3%
With Media
47.7%
With Links
24.2%
With #Tags
80.7%
With @Mentions
18.8%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.7
Reply/Original Ratio
0.14
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 3,112 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 2,003 retweets (64% 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 3,112 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 sports fans, especially those interested in American football, and entertainment enthusiasts. The content appeals to a broad demographic, including both casual and dedicated followers.
Average
Audience Quality
26.8%
Suspicion Index
32.6%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.0%
Empty Bio
29.9%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
60.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.6%
No URL
20.2%
<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.
54,729,017
Total Potential Reach
20
Median Follower Reach
105
75th Percentile Reach
3.5%
>1K followers
0.4%
>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).
48.1%
Creators
24,071 accounts
21.9%
Consumers
10,955 accounts
29.9%
Dormant
14,974 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):
798
Verified Followers
0.79% of total
11,314
Protected Accounts
11.2% of total
6 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 | 14,099,662 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Ninja | 6,675,729 | Gamer | video games, business |
| @Tfue | 4,140,743 | Gamer | Gaming, Streaming, Esports |
| @Nickelodeon | 3,885,464 | Entertainment | TV shows, streaming, entertainment |
| @Dame_Lillard | 3,229,446 | Basketball Player | Basketball, Music, Fashion |
| @timthetatman | 2,854,295 | Streamer | Gaming, Entertainment, Nerd |
| @Banks | 2,811,891 | Gamer | gaming, internet, music |
| @ScHoolboyQ | 2,545,408 | Rapper | music, hip hop, rap |
| @Lazarbeam | 2,492,749 | YouTuber | Gaming, Comedy, YouTube |
| @RSherman_25 | 2,034,451 | Football Player | Football, Stanford, Confidence |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,755
Followers With Bio
42,242
Followers Without Bio
58.17%
% With Bio
41.83%
% 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 3,112 analyzed2,559,184
Combined Engagement
0
Total Likes
2,559,184
Total Retweets
511,837
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @POTUS: Thank you for everything. My last ask is the same as my first. I'm asking you to believe—not in my ability to create change, but…
RT @KingJames: U bum @StephenCurry30 already said he ain't going! So therefore ain't no invite. Going to White House was a great honor unti…
RT @kobebryant: Continuing to move the game forward @KingJames. Much respect my brother 💪🏾 #33644
RT @JKCorden: Oh my god. This is just sensational. Please watch and retweet. https://t.co/ackPHwAUce
RT @jk_rowling: 20 years ago today a world that I had lived in alone was suddenly open to others. It's been wonderful. Thank you. #HarryPo…
Key Insights & Takeaways
He blends sports and entertainment in his content, creating a unique appeal. His top tweets often include personal opinions and humor, which resonate well with his audience. He leverages his platform to express views on athletes and media, which drives interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 198,195
- + 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 @MikeEvans13_ reveals an exceptionally influential Twitter presence with 198,195 followers. The account demonstrates a content-creator strategy, averaging 4,488.2 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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