Tommy
thebrilliantgreen♡february6,heavenly6♡インスタ⇒ https://www.facebook.com/unsupportedbrowser情報など⇒@_kitten_girl FW⇒https://fashionwalker.com/brand/cupcakeicecream/search?so=NEW&link=BRAND&ofrtrk=103210000700070 お問い合わせはWeb ⇒CONTACTからどうぞ
77,155
Followers
125
Following
18,857
Tweets
111.0
Avg Engagement
1,377
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TOMMY_ARMY'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:2010-08-27
- Verification:No
- Location:HOUSE OF TMY
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:87.4
- Avg Retweets per Tweet:23.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,188 tweetsTheir tweets receive a moderate to high level of engagement, with an average of 2,672 likes and 778 retweets per tweet.
87.4
Avg Likes/Tweet
23.7
Avg Retweets/Tweet
278,477
Total Likes
75,539
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
49
Median Likes
5
Median Retweets
94
75th Percentile
7,906
Top Tweet
1.44
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
58.4%
Original
11.4%
Replies
7.4%
Retweets
22.7%
Quotes
0.0%
Threads
0.1%
With Media
73.3%
With Links
12.4%
With #Tags
21.6%
With @Mentions
55.1%
With Emojis
64
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
3.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 236 retweets (7% 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 3,188 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 fans of emotional and heartfelt content, likely young adults and teenagers in Japan.
Good
Audience Quality
16.3%
Suspicion Index
18.1%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
12.4%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
41.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.1%
No URL
8.1%
<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.
5,229,057
Total Potential Reach
45
Median Follower Reach
184
75th Percentile Reach
5.4%
>1K followers
0.4%
>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).
74.3%
Creators
7,428 accounts
13.3%
Consumers
1,333 accounts
12.4%
Dormant
1,239 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):
37
Verified Followers
0.37% of total
2,920
Protected Accounts
29.2% of total
6 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 |
|---|---|---|---|
| @ramdayo1122 | 703,388 | Illustrator | Anime, Games, Art |
| @tsubuanfes | 474,259 | Illustrator | Haropro, Doujinshi, Fate/EXTRA |
| @tarou2 | 243,420 | Illustrator | anime, illustration, character design |
| @ohdangmimi | 194,780 | Adult entertainer | porn, bi, collabs |
| @RihoTakada | 112,101 | Singer | Music, Photography, Ambassador |
| @mososetsunight | 97,551 | Manga Artist | manga, illustration, love |
| @funamusea | 88,996 | Illustrator | Illustration, GameDev, Fanart |
| @fukasawamidori | 87,949 | Model | Lolita fashion, Takarazuka, Mystery solving |
| @itSnap_media | 82,463 | Fashion Blogger | Fashion, Influencers, Styling |
| @PatrikLeonheart | 72,564 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,187
Followers With Bio
2,813
Followers Without Bio
71.87%
% With Bio
28.13%
% 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 3,188 analyzed27,893
Combined Engagement
16,063
Total Likes
11,830
Total Retweets
5,579
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
RT @Kantei_Saigai: 【緊急地震速報】 千葉東方沖で地震 関東で強い揺れ 強い揺れに警戒してください。 発表日時 4日00時15分 対象地域：茨城県南部、茨城県北部、千葉県北東部、千葉県南部、千葉県北西部、東京都２３区、神奈川県東部、埼玉県南部、埼玉県北部、栃木県南部
yoloshikuwooooooo💜♥️ https://t.co/32U4AMnUcE
本日ハイさんのBDということで( ◠‿◠ )🎉 : Tommy https://t.co/QtbMrZnO3L
- ̗̀ 𝙷𝚊𝚙𝚙𝚢 𝙽𝚎𝚠 𝚈𝚎𝚊𝚛 ̖́-げんきー？
もともと気分の浮き沈みが激しいのか常に疲れててだるいし心も折れやすいし自発的なこと以外はあやもこれもそれも嫌。ぜんぶ嫌。気にいらない。頭平気なん？って自分でも何なのか意味わかんない時代を経てこれが社会不適合ってやつかと悩んだりでも歳を取ってかなりマシこれでも。みんな、愛してるわ♡
Key Insights & Takeaways
The user frequently expresses emotional struggles and personal growth, indicating a deep introspective nature. They use emojis and heart symbols extensively, suggesting a desire for emotional connection and affection. Their content often includes personal reflections on mental health and societal adaptation, highlighting themes of vulnerability and self-awareness.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,155
- + 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 @TOMMY_ARMY reveals an well-established Twitter presence with 77,155 followers. The account demonstrates a content-creator strategy, averaging 111.0 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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