Eric Rosen
International Chess Master & Streamer [email protected] https://www.twitch.tv/imrosen https://www.youtube.com/rosenchess
84,102
Followers
292
Following
1,237
Tweets
258.4
Avg Engagement
574
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IM_Rosen'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:2015-09-15
- Verification:No
- Location:St Louis, MO
Data Summary
- Tweets Analyzed:1,205
- Avg Likes per Tweet:246.3
- Avg Retweets per Tweet:12.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,205 tweetsHis content consistently receives high engagement, indicating a loyal and active audience that interacts frequently with his tweets.
246.3
Avg Likes/Tweet
12.1
Avg Retweets/Tweet
296,753
Total Likes
14,639
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
2
Median Retweets
137
75th Percentile
7,050
Top Tweet
3.07
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
42.4%
Original
26.9%
Replies
18.8%
Retweets
11.9%
Quotes
0.0%
Threads
6.1%
With Media
75.4%
With Links
29.7%
With #Tags
66.4%
With @Mentions
14.8%
With Emojis
111
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
0.63
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,205 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 227 retweets (19% 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 1,205 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 followers are likely chess enthusiasts, gamers, and viewers interested in live streaming and competitive play.
Average
Audience Quality
28.7%
Suspicion Index
37.8%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.6%
Empty Bio
38.6%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
63.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
27.1%
<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.
2,692,808
Total Potential Reach
11
Median Follower Reach
52
75th Percentile Reach
2.4%
>1K followers
0.3%
>10K followers
0.1%
>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).
37.6%
Creators
3,760 accounts
23.8%
Consumers
2,383 accounts
38.6%
Dormant
3,857 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):
93
Verified Followers
0.93% of total
955
Protected Accounts
9.55% of total
4 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 |
|---|---|---|---|
| @itsandreabotez | 417,388 | Chess Streamer | Chess, streaming, content creation |
| @abdur | 177,972 | Technologist | technology, entrepreneurship, education |
| @Ideias_Radicais | 159,278 | Empresário | Libertarianism, Activism, Entrepreneurship |
| @goodsolitaire | 129,317 | Game Developer | solitaire games, gamedev, cats |
| @followerwonk | 119,186 | Twitter Analytics | Twitter analytics, social media growth, audience insights |
| @SnakeBiteFPS | 58,955 | Professional Gamer | Halo, Podcasting, Merchandise |
| @NateHindenburg | 50,036 | - | - |
| @ShreddedKent | 49,339 | Streamer | Gaming, Fitness, Ireland |
| @awemany | 49,289 | Comedian | Grumpy, Old man, Awe |
| @DrKatrinaAdkins | 47,986 | Academic | Gaming, Esports, STEM |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,144
Followers With Bio
4,856
Followers Without Bio
51.44%
% With Bio
48.56%
% 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 1,205 analyzed29,468
Combined Engagement
28,554
Total Likes
914
Total Retweets
5,894
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
😳 https://t.co/pt3I5dYien
oh no my bishop https://t.co/fZBsjey057
OH NO! Your favorite streamers! https://t.co/crUlH83tem
Most pictures may be worth a 1,000 words, but this one is worth 10,000+ rating points. https://t.co/skVCdpdXps
That feeling when you play a chess game and make no mistakes ☺ https://t.co/zuy3pFjK5i
Key Insights & Takeaways
His tweets often include humorous or dramatic moments, which likely drive engagement. He uses a mix of personal and entertaining content to maintain audience interest. His verified status is low, suggesting he may not have official recognition in the chess community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,102
- + 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 @IM_Rosen reveals an well-established Twitter presence with 84,102 followers. The account demonstrates a content-creator strategy, averaging 258.4 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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