Steve Noah
Working @OperationSports. Covering sports video games and some sporting events... I like to GIF.
54,844
Followers
362
Following
78,829
Tweets
808.6
Avg Engagement
521
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Steve_OS'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: Mid-Tier (10K+)
- Account Age:2009-01-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:222.3
- Avg Retweets per Tweet:586.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsHis tweets consistently receive high likes and retweets, indicating strong audience interaction and interest in his content.
222.3
Avg Likes/Tweet
586.3
Avg Retweets/Tweet
711,051
Total Likes
1,875,549
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
20
Median Retweets
235
75th Percentile
271,261
Top Tweet
14.74
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
24.3%
Original
61.0%
Replies
14.0%
Retweets
0.8%
Quotes
0.0%
Threads
0.1%
With Media
70.8%
With Links
3.0%
With #Tags
44.9%
With @Mentions
3.6%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.51
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 447 retweets (14% 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 3,199 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 10,000 followersHis audience is primarily interested in sports and gaming, with a preference for visual and concise content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
100.0%
<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.
34,963,238
Total Potential Reach
87
Median Follower Reach
290
75th Percentile Reach
7.2%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
908
Protected Accounts
9.08% 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 |
|---|---|---|---|
| @KDTrey5 | 20,811,675 | Basketball Player | Basketball, Entrepreneurship, Media |
| @darrenrovell | 1,981,085 | Sports Reporter | Sports Betting, Memorabilia, NFTs |
| @KameronBennett | 1,805,592 | DJ | Music, DJing, Booking |
| @KalaniBallFree | 1,235,218 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @ZachBoychuk | 823,961 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Reflog_18 | 553,976 | - | - |
| @MsPackyetti | 409,800 | Activist | activist, host, contributor |
| @FDSportsbook | 287,714 | Sports Betting | Sports betting, gambling, customer support |
| @PowerGotNow | 209,110 | YouTuber | Gaming, YouTube, Leadership |
| @Stalley | 182,726 | Rapper | Music, Business, New Single |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,640
Followers With Bio
3,360
Followers Without Bio
66.4%
% With Bio
33.6%
% 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 3,199 analyzed829,069
Combined Engagement
155,248
Total Likes
673,821
Total Retweets
165,814
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @JohnCena: Sooo #iPhoneX about #FaceID ...ummmmm .... what do I do?
No idea what this game is called, but whoever made it, is the devil. https://t.co/Ec98aGXSDD
RT @kiramsey: My time has finally come https://t.co/zL39nzwtqS
RT @DukeOfZamunda: “YOU CAN’T WEAR THEM COLORS OUT HERE CUH” https://t.co/MSVDC4RNjh
RT @wojespn: Kobe Bryant is among those dead in a helicopter crash outside Los Angeles, a source confirms to ESPN.
Key Insights & Takeaways
He often uses GIFs to enhance his tweets and make them more engaging. His content frequently includes reactions to sports events and video games. He has a knack for creating viral moments with his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,844
- + 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 @Steve_OS reveals an well-established Twitter presence with 54,844 followers. The account demonstrates a conversation-first approach, averaging 808.6 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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