Nik Stauskas
When you master your mind, you master your life. Cleveland Cavaliers SG
94,708
Followers
466
Following
8,666
Tweets
526.0
Avg Engagement
625
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NStauskas11'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:2011-08-04
- Verification:No
- Location:Mississauga, Ontario
Data Summary
- Tweets Analyzed:3,153
- Avg Likes per Tweet:112.1
- Avg Retweets per Tweet:413.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,153 tweetsHis tweets consistently receive high engagement, with an average of 2,943 likes and 2,081 retweets per post.
112.1
Avg Likes/Tweet
413.8
Avg Retweets/Tweet
353,536
Total Likes
1,304,811
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
12
Median Retweets
203
75th Percentile
158,888
Top Tweet
5.55
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
43.9%
Original
19.3%
Replies
24.4%
Retweets
12.4%
Quotes
0.0%
Threads
0.4%
With Media
35.2%
With Links
25.2%
With #Tags
63.1%
With @Mentions
20.9%
With Emojis
87
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.44
Reply/Original Ratio
0.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,153 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 768 retweets (24% 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 3,153 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 followersThe audience appears to be a mix of basketball fans and followers interested in motivational content and personal updates.
Average
Audience Quality
26.9%
Suspicion Index
31.7%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
26.5%
<10 Tweets
16.6%
Mass Following (>2K)
0.0%
New (<90 days)
56.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
18.9%
<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.
57,614,589
Total Potential Reach
46
Median Follower Reach
197
75th Percentile Reach
5.7%
>1K followers
1.4%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.3%
Creators
5,627 accounts
17.2%
Consumers
1,723 accounts
26.5%
Dormant
2,650 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):
80
Verified Followers
0.8% of total
1,102
Protected Accounts
11.02% 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 | 14,093,178 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wojespn | 5,918,458 | Sports Journalist | NBA, Insider, Podcasting |
| @celtics | 4,142,373 | Sports Team | Basketball, Championships, Boston |
| @cavs | 3,343,071 | Sports Team | Basketball, NBA, G League |
| @Dame_Lillard | 3,266,463 | Basketball Player | Basketball, Music, Fashion |
| @garyvee | 3,156,849 | Entrepreneur | Family, CEO, Investor |
| @Bucks | 2,000,597 | Sports Team | Basketball, Travel, Fashion |
| @SInow | 1,857,439 | Sports Media | Sports, TikTok, Instagram |
| @KameronBennett | 1,818,955 | DJ | Music, DJing, Booking |
| @trailblazers | 1,551,387 | Basketball Team | basketball, Portland, Pacific Northwest |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,549
Followers With Bio
4,451
Followers Without Bio
55.49%
% With Bio
44.51%
% 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 3,153 analyzed531,782
Combined Engagement
0
Total Likes
531,782
Total Retweets
106,356
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @Drake: I remember everything...juss know.
RT @wizkhalifa: Get you a girl who can do more than just look cute.
RT @justinbieber: Life is good
RT @justinbieber: Life is good
RT @Drake: Bench players talking like starters I hate it.
Key Insights & Takeaways
His top tweets highlight key moments in his career and team achievements, indicating a focus on personal and team milestones. He uses humor and casual language to connect with his audience, making his content relatable and engaging. His verified status is low, suggesting a focus on organic growth rather than paid promotion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 94,708
- + 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 @NStauskas11 reveals an well-established Twitter presence with 94,708 followers. The account demonstrates a content-creator strategy, averaging 526.0 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.
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