伊澤星花
東京学芸大学教職大学院修了MMA/DEEPJEWELS/RIZIN 🐶ロイナッツショコラ🐱スポンサー様大募集中！！！ ⭐︎•⭐︎•⭐︎•⭐︎•︎⭐︎•︎⭐︎•⭐︎【contact ↓↓ 】⭐︎•⭐︎•⭐︎•⭐︎•⭐︎•︎⭐︎•⭐︎
16408
Followers
613
Following
18384
Tweets
45,3
Avg Engagement
97
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @starflower2525'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:2015-03-20
- Verification:No
- Location:maigo!!!!!
Data Summary
- Tweets Analyzed:3250
- Avg Likes per Tweet:38,6
- Avg Retweets per Tweet:6,7
- Followers Analyzed:15988
Engagement Analysis
Based on 3250 tweetsThe account has a high average engagement rate with likes and retweets, indicating a loyal and active following. The content is well-received and often shared by followers.
38,6
Avg Likes/Tweet
6,7
Avg Retweets/Tweet
125586
Total Likes
21665
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
13459
Top Tweet
2,76
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
11,8%
Original
81,0%
Replies
1,8%
Retweets
5,4%
Quotes
0,0%
Threads
0,0%
With Media
16,9%
With Links
4,2%
With #Tags
85,3%
With @Mentions
25,6%
With Emojis
33
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6,9
Reply/Original Ratio
2,97
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81,7%
Weekday Posts
18,3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 59 retweets (2% 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 3250 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 15988 followersThe audience includes MMA enthusiasts, fans of specific fighters, and potential sponsors. They are likely interested in combat sports and personal stories from athletes.
Good
Audience Quality
18,0%
Suspicion Index
23,9%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36,5%
Empty Bio
17,3%
<10 Tweets
8,3%
Mass Following (>2K)
0,0%
New (<90 days)
37,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,9%
No URL
11,2%
<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.
28136846
Total Potential Reach
65
Median Follower Reach
262
75th Percentile Reach
6,3%
>1K followers
0,8%
>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).
64,6%
Creators
10327 accounts
18,1%
Consumers
2897 accounts
17,3%
Dormant
2764 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):
30
Verified Followers
0.19% of total
2914
Protected Accounts
18.23% 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 |
|---|---|---|---|
| @JohnCena | 14106730 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201305 | - | - |
| @shoko55mmts | 908514 | YouTuber | cats, gaming, anime songs |
| @Shigeo0128 | 539363 | Comedian | YouTube, おなか, ハート |
| @rizin_PR | 306546 | MMA Promoter | MMA, Fighting, Events |
| @criscyborg | 241438 | MMA Fighter | MMA, BJJ, Jesus |
| @kennoguchi0821 | 221952 | Mountaineer | mountaineering, environmental conservation, humanitarian aid |
| @siwasunookina | 192612 | Manga artist | erotic manga, feedback, commissions |
| @JOJOkirst | 158395 | Parody Account | Collaboration, Giveaways, Business |
| @sindyeye | 111761 | Filmmaker | film, maker, director |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10148
Followers With Bio
5840
Followers Without Bio
63.47%
% With Bio
36.53%
% 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 3250 analyzed30691
Combined Engagement
16373
Total Likes
14318
Total Retweets
6138
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @karamov_fan: アゼルバイジャンの寿司 良い https://t.co/VVOVIgqBz8
堀口選手と写真を撮っていただきました！！最高に嬉しいです！ https://t.co/MGX5TVJ6G8
アナスタシア選手、とっても素敵な選手でした。一緒にMMAができて嬉しかったです。日本に来てくださって本当にありがとうございます！ https://t.co/SASM6WIl3X
勝ちました！！！ 頑張ったのでYouTubeのチャンネル登録よろしくお願いします！！！ また頑張ります！！！ https://t.co/1CgAVOGvx8 https://t.co/usPkyjohDB
Congratulationsって言っていただけました。幸せです。もっともっと強くなります。 https://t.co/KAOmenGoCa
Key Insights & Takeaways
The user frequently collaborates with other fighters and shares behind-the-scenes moments They emphasize gratitude and personal growth, which resonates with their audience Promotion of sponsorship opportunities suggests a focus on brand partnerships and financial support
Strengths
- + Established follower base of 16408
- + High community engagement through conversations
- + 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 @starflower2525 reveals an growing Twitter presence with 16408 followers. The account demonstrates a conversation-first approach, averaging 45,3 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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