Anime Matsuri
Anime and Japanese Pop Culture Convention. August 8-11, 2024
91,250
Followers
308
Following
5,113
Tweets
262.1
Avg Engagement
174
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AnimeMatsuri'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:2009-04-25
- Verification:No
- Location:Houston, Texas
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:23.8
- Avg Retweets per Tweet:238.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsThe account has high average likes and retweets, indicating strong audience interaction. It effectively uses hashtags and mentions to boost visibility and engagement.
23.8
Avg Likes/Tweet
238.3
Avg Retweets/Tweet
75,314
Total Likes
755,760
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
38
75th Percentile
361,625
Top Tweet
2.87
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
35.9%
Original
34.1%
Replies
28.5%
Retweets
1.5%
Quotes
0.0%
Threads
2.1%
With Media
62.9%
With Links
43.0%
With #Tags
78.0%
With @Mentions
28.5%
With Emojis
121
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.95
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 904 retweets (29% 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 3,171 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 primary audience includes anime and K-pop fans, as well as attendees of the convention. The content appeals to both casual fans and dedicated enthusiasts.
Average
Audience Quality
31.2%
Suspicion Index
35.1%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.2%
Empty Bio
46.8%
<10 Tweets
8.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.2%
No URL
35.0%
<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.
19,373,844
Total Potential Reach
7
Median Follower Reach
53
75th Percentile Reach
3.1%
>1K followers
0.6%
>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).
35.2%
Creators
3,516 accounts
18.1%
Consumers
1,809 accounts
46.8%
Dormant
4,675 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):
108
Verified Followers
1.08% of total
1,067
Protected Accounts
10.67% of total
3 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 | 14,095,017 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MelodyMarksxxx | 630,530 | Adult Entertainer | Anime, Gaming, 2000s nostalgia |
| @elisedotexe | 523,539 | - | - |
| @karrigantaylor | 517,087 | Cosplayer | Cosplay, Manga, Author |
| @FAKKU | 259,785 | Publisher | Hentai, Publisher, English |
| @Bunni3Png | 254,568 | Adult Content Creator | NSFW, Venus, 18+ |
| @namaniku_ATK | 155,476 | Mangaka | anime, games, manga |
| @Taryn_Cosplay | 154,122 | Cosplayer | Cosplay, Modeling, Designing |
| @Nerdrotics | 137,531 | - | - |
| @t_santa | 130,001 | Illustrator | illustration, character design, toys |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,477
Followers With Bio
3,523
Followers Without Bio
64.77%
% With Bio
35.23%
% 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 3,171 analyzed456,877
Combined Engagement
0
Total Likes
456,877
Total Retweets
91,375
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BigHitEnt: #BTS #방탄소년단 #LOVE_YOURSELF 結 'Answer' Concept Photo L version https://t.co/N8b5ljXEtF
RT @PlayOverwatch: Rise up and be remembered. Witness the return of one of Talon's leaders: Doomfist! Learn more @ https://t.co/JCSkZJGOzc https://t.co/QnRzro7YuW
RT @KaroshiMyriad: Times have changed https://t.co/0cujSBnr8T
RT @VIZMedia: Announcement: The most powerful hero returns! One-Punch Man Season 2 comes April 2019. https://t.co/ZwrCljO7vU
RT @TwitterMoments: Jimin's #Promise is here to close out 2018. https://t.co/gIvb8RjNu1
Key Insights & Takeaways
The account frequently collaborates with K-pop groups and celebrities, which drives engagement. It leverages trending topics and events to maintain relevance and attract followers. The use of emojis and humor helps create a friendly and relatable tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 91,250
- + 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 @AnimeMatsuri reveals an well-established Twitter presence with 91,250 followers. The account demonstrates a content-creator strategy, averaging 262.1 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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