うどん
生きてます。フォローするとリア充になれます。
1,020,464
Followers
1,020,750
Following
2,615
Tweets
5,590.5
Avg Engagement
5,774
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @udon_lov'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: Mega Influencer (1M+)
- Account Age:2011-05-06
- Verification:No
- Location:連絡先 : [email protected]
Data Summary
- Tweets Analyzed:2,487
- Avg Likes per Tweet:5,042.7
- Avg Retweets per Tweet:547.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,487 tweetsThe account consistently receives high engagement, indicating a strong and active follower base. The content is well-received, with a mix of likes and retweets showing broad appeal.
5,042.7
Avg Likes/Tweet
547.8
Avg Retweets/Tweet
12,541,170
Total Likes
1,362,418
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
1
Median Retweets
12,084
75th Percentile
191,974
Top Tweet
5.48
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
28.9%
Original
71.1%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
4.1%
With Links
0.1%
With #Tags
71.0%
With @Mentions
3.0%
With Emojis
31
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.46
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.0%
Weekday Posts
31.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,487 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 1 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 2,487 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 50,000 followersThe audience appears to be young adults and teenagers who enjoy humor, pop culture, and relatable content. They are likely looking for entertainment and a sense of community.
Good
Audience Quality
13.8%
Suspicion Index
16.9%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.7%
Empty Bio
15.6%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
29.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
9.2%
<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.
30,495,865
Total Potential Reach
44
Median Follower Reach
197
75th Percentile Reach
4.3%
>1K followers
0.5%
>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).
62.2%
Creators
31,116 accounts
22.2%
Consumers
11,092 accounts
15.6%
Dormant
7,792 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):
197
Verified Followers
0.2% of total
36,691
Protected Accounts
36.69% of total
5 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 |
|---|---|---|---|
| @Takomayuyi | 1,781,282 | Language Teacher | Chinese culture, Language learning, Social media |
| @ai_uehara_ex | 1,243,597 | Adult Film Actress | beauty, salon, YouTube |
| @AnriOkita_real | 994,873 | Gravure idol | music, art, gravure |
| @yuukikikuchi | 953,849 | Illustrator | Art, Drawing, Design |
| @Nyairin_518 | 822,769 | Influencer | TikTok, Instagram, Producing |
| @ayanashb0306 | 755,716 | Influencer | Fashion, Beauty, Lifestyle |
| @aikayamagishi | 657,418 | - | - |
| @seki0908 | 548,251 | Voice Actor | 妖怪ウォッチ, ドラえもん, FGO |
| @akidearest | 546,864 | YouTuber | Anime, Gaming, Vlogging |
| @Reflog_18 | 537,144 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,610
Followers With Bio
25,390
Followers Without Bio
74.61%
% With Bio
25.39%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,487 analyzed569,070
Combined Engagement
469,739
Total Likes
99,331
Total Retweets
113,814
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
3日前になくしたと思ってたおにぎりが変わり果てた姿でバッグから出てきた https://t.co/f1iPvvsot0
スワイプすると上に飛んでいくバズ・ライトイヤー https://t.co/UMmPhXpVGs
全国の非リア達安心しろ クリスマスは俺が始末しといた https://t.co/hcNXP2xdmo
スワイプすると上に飛んでいくキキ https://t.co/frHaRlY5oK
上にスライドすると飛んでいくポニョ https://t.co/iEUgQu8oem
Key Insights & Takeaways
The user often blends everyday situations with surreal twists, creating a unique and engaging style. They use humor and relatability to connect with their audience. Their content often includes references to pop culture and viral trends, which helps maintain relevance and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,020,464
- + 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 @udon_lov reveals an exceptionally influential Twitter presence with 1,020,464 followers. The account demonstrates a conversation-first approach, averaging 5,590.5 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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