66,270
Followers
74,963
Following
243,247
Tweets
1,353.3
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NONENON111'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:2010-10-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:6.7
- Avg Retweets per Tweet:1,346.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsThe user has a moderate to high engagement rate, with an average of 250 likes and 113 retweets per tweet. This indicates a loyal and active audience that interacts with their content regularly.
6.7
Avg Likes/Tweet
1,346.5
Avg Retweets/Tweet
21,532
Total Likes
4,308,932
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
8
75th Percentile
3,655,131
Top Tweet
20.42
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
92.6%
Original
7.1%
Replies
0.1%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
13.9%
With Links
2.8%
With #Tags
7.8%
With @Mentions
0.4%
With Emojis
28
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
3.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.8%
Weekday Posts
26.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 3 retweets (0% 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 3,200 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 followersTheir audience likely includes fans of emotional and poetic content, possibly anime or music enthusiasts. The user's engagement suggests a dedicated but niche following.
Good
Audience Quality
15.9%
Suspicion Index
24.2%
Low-Quality %
72
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.0%
Empty Bio
25.4%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
13.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
18.5%
<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.
37,027,382
Total Potential Reach
72
Median Follower Reach
334
75th Percentile Reach
12.2%
>1K followers
3.2%
>10K followers
1.2%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.8%
Creators
5,875 accounts
15.8%
Consumers
1,584 accounts
25.4%
Dormant
2,541 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):
46
Verified Followers
0.46% of total
1,641
Protected Accounts
16.41% 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 |
|---|---|---|---|
| @Cooperativa | 3,454,539 | News broadcaster | Podcast, Noticias, Voz |
| @colortheory | 2,131,512 | Musician | Music, 80s, Synthesizers |
| @6BillionPeople | 2,015,240 | - | - |
| @SoccerKingJP | 1,351,604 | Sports Journalist | soccer, YouTube, sports |
| @LeBronJames | 939,943 | - | - |
| @SeanBeeson | 812,446 | Composer | Music, UX design, Family |
| @SiNoLoSabias | 657,402 | Facts/Tips | Curiosidades, Cultura, Aprendizaje |
| @potterpotter | 553,803 | 陶芸家 | ceramics, pottery, art |
| @Reflog_18 | 550,752 | - | - |
| @skylarclouds | 532,883 | Writer | Books, Words, Cure |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,003
Followers With Bio
2,997
Followers Without Bio
70.03%
% With Bio
29.97%
% 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 3,200 analyzed4,307,187
Combined Engagement
1,437
Total Likes
4,305,750
Total Retweets
861,437
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @yousuck2020: ZOZOTOWN新春セールが史上最速で取扱高100億円を先ほど突破！！日頃の感謝を込め、僕個人から100名様に100万円【総額1億円のお年玉】を現金でプレゼントします。応募方法は、僕をフォローいただいた上、このツイートをRTするだけ。受付は1/7まで。当選者には僕から直接DMします！ #月に行くならお年玉 https://t.co/cKQfPPbOI3
RT @misakism13: 僕が脱税したとされている【1億8千万円】を日本の未来のために贖罪寄付します 個人から一人につき100万円を180名様に現金で寄付します 応募方法は僕をフォローいただき(当選発表後に外して構いません)、リプ欄に記載の動画を見て、このツイートをRTしてください 受付は9/16まで、当選者にはDMします https://t.co/Fh8gMvOziZ
【ラルクが降り注いだものまとめ】 罪 光 星 空 夜空 木漏れ日 まっさらな太陽 雨 あたたかな雨 雪 あたたかな雪 咲き乱れた花 君への輝き 夢のように君を導く輝き 死の灰
(^-^)jetstarにお手紙書いたよーーーッ！ https://t.co/6ZHJh44Tgg
何年かぶりにログインしたら、でけた。涙出た https://t.co/evBfgvoy77
Key Insights & Takeaways
The user's content is heavily focused on emotional and poetic imagery, often referencing natural elements and themes of light and darkness. Their top tweets suggest a personal connection to their audience, with mentions of emotional reactions and personal interactions. They appear to be active in engaging with their followers through direct messages and personal expressions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,270
- + 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 @NONENON111 reveals an exceptionally influential Twitter presence with 66,270 followers. The account demonstrates a content-creator strategy, averaging 1,353.3 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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