44,347
Followers
35
Following
5,669
Tweets
838.6
Avg Engagement
297
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @udosuzukigold1'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:2016-11-10
- Verification:No
- Location:日本
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:741.7
- Avg Retweets per Tweet:96.9
- Followers Analyzed:44,329
Engagement Analysis
Based on 500 tweetsThe account has a high average number of likes and retweets, suggesting strong audience interaction. The content is likely to be shared and appreciated by followers.
741.7
Avg Likes/Tweet
96.9
Avg Retweets/Tweet
370,835
Total Likes
48,458
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
130
Median Likes
13
Median Retweets
386
75th Percentile
13,295
Top Tweet
18.91
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
51.8%
Original
0.0%
Replies
0.2%
Retweets
48.0%
Quotes
0.0%
Threads
0.0%
With Media
67.4%
With Links
2.8%
With #Tags
11.0%
With @Mentions
3.4%
With Emojis
107
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
240.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
62.6%
Weekday Posts
37.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 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 500 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 44,329 followersThe audience appears to be primarily Japanese, with a focus on entertainment and pop culture. The content seems to resonate well with fans of anime, idols, and variety shows.
Average
Audience Quality
20.5%
Suspicion Index
24.4%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.1%
Empty Bio
17.6%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
44.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
11.8%
<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.
36,683,821
Total Potential Reach
47
Median Follower Reach
200
75th Percentile Reach
5.4%
>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).
67.6%
Creators
29,965 accounts
14.8%
Consumers
6,570 accounts
17.6%
Dormant
7,794 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):
203
Verified Followers
0.46% of total
8,572
Protected Accounts
19.34% of total
8 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 |
|---|---|---|---|
| @hentaimimura | 3,332,861 | Comedian | Haunted houses, Slippery places, Monkeys |
| @ABEMA | 2,139,738 | Media | News, Drama, Anime |
| @kenichiromogi | 1,426,121 | Neuroscientist | neuroscience, author, broadcaster |
| @michopaaaaa | 1,418,984 | Model | Fashion, Modeling, Media |
| @kantamizutamari | 1,227,835 | YouTuber | YouTube, Instagram, video editing |
| @okazakihanawo | 1,051,132 | Comedian | comedy, iPhone, digital newcomer |
| @ktrsngofficial | 865,089 | Entertainer | Music, Entertainment, Japan |
| @taketakeyakiimo | 555,382 | Entertainer | - |
| @indigolaEnd | 458,772 | Musician | music, guitar, radio |
| @syokojiro | 396,303 | 料理研究家 | cooking, recipe, food styling |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,909
Followers With Bio
16,420
Followers Without Bio
62.96%
% With Bio
37.04%
% 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 500 analyzed53,033
Combined Engagement
46,633
Total Likes
6,400
Total Retweets
10,607
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
いよいよですね〜！ アニキとビビアンと天山！ ウィーアー！ブラックビスケッツ！ 楽しみで〜す！ https://t.co/bSsJmauehX
皆さん！申し訳ございません！ 先ほどの ウィーアーブラックビスケッツ！ は、アニキとビビアンと天山の 言うセリフのイメージで書かせて 頂きました〜！すみません！ 私たちはポケットビスケッツです！ 素晴らしい仲間に、ブラボ〜！ いつもありがとうございます！
王子〜！お誕生日おめでとうございま〜す！あなたに会えてよかった！ ハッピ〜で〜す！キャイ〜ン杯🍻 https://t.co/yWRgUawJYa
皆さん！天野くん！王子！つよぽん！ ゴロウちゃん！みちょぱちゃん！ 兼近くん！りんたろー。くん！ スタッフの皆さん！誠にありがとうございま〜す！めちゃんこハッピ〜 で〜す！これからもヨロピクお願い致しま〜す！ https://t.co/fCMUoKf3Mn
皆さん！本日も、ななにー！をご覧頂いて、誠にありがとうございました！ めちゃんこ楽しい！美味しい！ エクスタシ〜！でございました〜！ 王子とつよぽんとゴロウちゃんと みちょぱちゃんと兼近くんと りんたろー。くんと天野くんと 皆さんに甘えさせて頂いて 心あったか春爛漫でした！ また次回に〜
Key Insights & Takeaways
The user frequently collaborates with other content creators and idols, which likely drives engagement. The content often includes expressions of gratitude and appreciation, fostering a sense of community. The user's bio and tweets suggest a focus on entertainment and fan interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 44,347
- + 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 @udosuzukigold1 reveals an well-established Twitter presence with 44,347 followers. The account demonstrates a content-creator strategy, averaging 838.6 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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