Steve Smith
Basketball Aficionado #Undertherim
237,981
Followers
1,462
Following
12,623
Tweets
1,237.3
Avg Engagement
1,758
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @steve21smith'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:2009-04-01
- Verification:No
- Location:Atlanta via Detroit
Data Summary
- Tweets Analyzed:3,181
- Avg Likes per Tweet:9.3
- Avg Retweets per Tweet:1,228.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,181 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
9.3
Avg Likes/Tweet
1,228.0
Avg Retweets/Tweet
29,663
Total Likes
3,906,334
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
21
75th Percentile
1,421,612
Top Tweet
5.2
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
18.2%
Original
27.2%
Replies
54.2%
Retweets
0.4%
Quotes
0.0%
Threads
0.3%
With Media
36.5%
With Links
36.0%
With #Tags
89.3%
With @Mentions
17.4%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.5
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.4%
Weekday Posts
29.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,181 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 1,724 retweets (54% 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 3,181 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 fellow basketball enthusiasts and fans of MSU basketball, likely including alumni and students.
Average
Audience Quality
28.1%
Suspicion Index
29.5%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
24.2%
<10 Tweets
19.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
15.3%
<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.
106,623,076
Total Potential Reach
45
Median Follower Reach
176
75th Percentile Reach
5.5%
>1K followers
1.2%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.9%
Creators
26,971 accounts
21.9%
Consumers
10,925 accounts
24.2%
Dormant
12,104 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):
399
Verified Followers
0.4% of total
10,234
Protected Accounts
10.13% of total
9 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 | 14,100,494 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DwyaneWade | 9,601,688 | Athlete | Fatherhood, Basketball, Philanthropy |
| @ESPNNBA | 8,533,811 | Sports Media | Basketball, NBA Draft, NBA Finals |
| @jugsjugsjugs | 2,993,021 | Music Manager | Music, Contact, Manager |
| @staceyabrams | 2,871,481 | Politician | politics, activism, writing |
| @KaizerChiefs | 2,779,550 | Football Club | Football, Soccer, Marketing |
| @ava | 2,626,746 | - | - |
| @6BillionPeople | 2,034,587 | - | - |
| @isaiahthomas | 1,872,842 | Basketball Player | Basketball, Fatherhood, All Star |
| @KameronBennett | 1,815,674 | DJ | Music, DJing, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,912
Followers With Bio
53,080
Followers Without Bio
47.44%
% With Bio
52.56%
% 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 3,181 analyzed2,586,545
Combined Engagement
0
Total Likes
2,586,545
Total Retweets
517,309
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/…
RT @BarackObama: "People must learn to hate, and if they can learn to hate, they can be taught to love..."
RT @BarackObama: "...For love comes more naturally to the human heart than its opposite." - Nelson Mandela
RT @VinceGoodwill: This one damn near broke me https://t.co/hdAwOKBrWl
RT @BarackObama: Today, the Supreme Court not only reversed nearly 50 years of precedent, it relegated the most intensely personal decision…
Key Insights & Takeaways
He frequently uses hashtags related to MSU basketball and its community, which helps in increasing visibility and engagement. His tweets often include links to specific content, suggesting a focus on sharing highlights and updates. He emphasizes team spirit and school pride, which resonates well with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 237,981
- + 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 @steve21smith reveals an exceptionally influential Twitter presence with 237,981 followers. The account demonstrates a conversation-first approach, averaging 1,237.3 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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