Michael Smith
Aut inveniam viam aut faciam
487.847
Followers
1.965
Following
66.609
Tweets
213,0
Avg Engagement
4.890
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @michaelsmith'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:2010-01-03
- Verification:No
- Location:Way ahead of ya.
Data Summary
- Tweets Analyzed:3.244
- Avg Likes per Tweet:43,2
- Avg Retweets per Tweet:169,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.244 tweetsHis tweets receive consistent engagement, indicating a loyal and active audience that values his content.
43,2
Avg Likes/Tweet
169,8
Avg Retweets/Tweet
140.227
Total Likes
550.691
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
12
75th Percentile
491.565
Top Tweet
0,44
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8,0%
Original
72,0%
Replies
9,6%
Retweets
10,4%
Quotes
0,0%
Threads
0,5%
With Media
19,9%
With Links
5,8%
With #Tags
86,5%
With @Mentions
27,7%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8,99
Reply/Original Ratio
1,08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81,1%
Weekday Posts
18,9%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3.244 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 311 retweets (10% 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 3.244 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 appears to be interested in sports commentary and media discussions, given his interactions with figures like Jemele Hill.
Average
Audience Quality
23,8%
Suspicion Index
25,7%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,7%
Empty Bio
17,6%
<10 Tweets
14,4%
Mass Following (>2K)
0,0%
New (<90 days)
57,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,4%
No URL
10,7%
<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.
65.072.646
Total Potential Reach
42
Median Follower Reach
167
75th Percentile Reach
5,5%
>1K followers
0,8%
>10K followers
0,3%
>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).
61,8%
Creators
30.882 accounts
20,6%
Consumers
10.304 accounts
17,6%
Dormant
8.814 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):
1.259
Verified Followers
1.25% of total
12.462
Protected Accounts
12.34% 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 | 14.104.983 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SamuelLJackson | 9.100.078 | Actor | movies, activism, golf |
| @chrisrock | 5.547.437 | Comedian | comedy, actor, writer |
| @PrimeVideo | 3.248.782 | Streaming Service | Horror, Movies, Streaming |
| @ava | 2.628.798 | - | - |
| @JoelEmbiid | 2.147.538 | Athlete | - |
| @JoyAnnReid | 2.052.519 | - | - |
| @ProFootballTalk | 1.902.213 | Sports Analyst | Football, NFL, News |
| @KameronBennett | 1.812.903 | DJ | Music, DJing, Booking |
| @michaelb4jordan | 1.482.421 | Actor | Movies, Fitness, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60.276
Followers With Bio
40.723
Followers Without Bio
59.68%
% With Bio
40.32%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.244 analyzed541.182
Combined Engagement
24.526
Total Likes
516.656
Total Retweets
108.236
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @kobebryant: Continuing to move the game forward @KingJames. Much respect my brother 💪🏾 #33644
RT @thEMANacho: Athlete and student — a REAL day in the life @NCAA. https://t.co/KcWj1JyoHn
But why couldn't @jemelehill come to me instead of asking for a trade?! I tried to do whatever I could to help the kid out, be the best anchor she could be, give her as much of the DNA as I could. When she was ready to take over the keys I was ready to give them to her 😔
https://t.co/TQn7SRctYe
https://t.co/ZoyWeBjUZ5
Key Insights & Takeaways
He frequently interacts with notable figures in media and sports, suggesting a focus on industry-related content. His verified status indicates credibility and authority in his field. He uses links in his tweets, possibly to share additional context or media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 487.847
- + High community engagement through conversations
- + 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 @michaelsmith reveals an well-established Twitter presence with 487.847 followers. The account demonstrates a conversation-first approach, averaging 213,0 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access