緋笠トモシカ🦌
頭の炎が消えるとしにます。 #voms_project
72,055
Followers
626
Following
10,331
Tweets
180.3
Avg Engagement
730
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Tomoshika_H'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:2020-02-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:132.1
- Avg Retweets per Tweet:48.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,238 tweetsHigh engagement suggests a loyal and active fanbase, with a mix of likes and retweets indicating popularity and interaction.
132.1
Avg Likes/Tweet
48.1
Avg Retweets/Tweet
427,884
Total Likes
155,794
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
16
Median Retweets
222
75th Percentile
14,631
Top Tweet
2.5
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
31.8%
Original
28.9%
Replies
23.2%
Retweets
16.2%
Quotes
0.0%
Threads
0.0%
With Media
57.4%
With Links
27.2%
With #Tags
52.3%
With @Mentions
19.5%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.91
Reply/Original Ratio
0.7
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.3%
Weekday Posts
31.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 750 retweets (23% 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 3,238 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 primarily interested in entertainment, personal updates, and interactive content.
Average
Audience Quality
26.1%
Suspicion Index
23.2%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.4%
Empty Bio
21.6%
<10 Tweets
17.0%
Mass Following (>2K)
0.0%
New (<90 days)
66.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.1%
No URL
15.0%
<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.
6,524,504
Total Potential Reach
29
Median Follower Reach
100
75th Percentile Reach
3.8%
>1K followers
0.7%
>10K followers
0.2%
>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).
60.1%
Creators
6,013 accounts
18.2%
Consumers
1,825 accounts
21.6%
Dormant
2,162 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):
61
Verified Followers
0.61% of total
1,302
Protected Accounts
13.02% 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 |
|---|---|---|---|
| @ike_eveland | 1,127,424 | Virtual Novelist | Writing, Virtual, Novelist |
| @vitaone_ | 312,963 | Programmer | IT, Anime, VTuber |
| @HimeHinghoi | 285,453 | - | - |
| @KURAND_INFO | 226,195 | Sake Retailer | Craft Sake, Online Store, Curiosity |
| @arisato_yu | 214,376 | - | - |
| @Fizintine | 184,860 | Artist | Drawing, Streaming, Cute characters |
| @butcha_u | 179,739 | Illustrator | manga, illustration, comics |
| @CesarDuranBrav1 | 156,341 | Hentai Promoter | Hentai, NSFW, Rule34 |
| @g1un1u | 131,960 | Illustrator | Vtuber, Adult content, Illustration |
| @Hoshara | 125,470 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,861
Followers With Bio
3,139
Followers Without Bio
68.61%
% With Bio
31.39%
% 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 3,238 analyzed51,674
Combined Engagement
13,300
Total Likes
38,374
Total Retweets
10,335
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
おっぱい大きくしました https://t.co/8yKbLMx2Qj
RT @sake_hanagaki: 南部酒造場「#花垣」と「#東京卍リベンジャーズ #花垣武道」のコラボ決定! 現代と過去を表現した2商品を、 東京卍會結成日の本日6月19日よりオンラインショップにて予約を開始します! 以下よりタイムリープしてご予約ください。 https://t.co/uih1POeRhs #Hanagaki #東リベ #福井 https://t.co/aSlsmPCRV1
RT @UN_NERV: 【NHKニュース速報 22:08】 巨大ブラックホールの輪郭撮影に成功 天の川銀河で初 国際研究グループ発表
RT @hayashi_lanturn: あぶねえええええええええ入稿前に気づいてよかったあああああああああ!!!!!! 「一助」だ「一助」!!!! https://t.co/vvxGi4buWs
RT @VOMS_Project: 大切なお知らせ https://t.co/2CFZfjiEYm
Key Insights & Takeaways
The user frequently shares personal updates and lifestyle content, which likely drives engagement. Interactive and provocative tweets, such as those involving relationships, generate significant attention. Promotion of live streams and other content highlights a focus on real-time interaction with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,055
- + 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 @Tomoshika_H reveals an well-established Twitter presence with 72,055 followers. The account demonstrates a content-creator strategy, averaging 180.3 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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