吉田貴司
漫画更新男。告知noteと漫画置くとこ。仕事や見たもの共々。「笹塚高校コスメ部」「40歳になった時（略）」「やれたかも委員会」 あとPodcast やってますhttps://promocards.byspotify.com/share/866e114036f61de9b0f35fe46774f4773cfdb95f
11,901
Followers
1,731
Following
13,743
Tweets
37.7
Avg Engagement
148
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yoshidatakashi3'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:2012-08-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:8.9
- Avg Retweets per Tweet:28.8
- Followers Analyzed:11,999
Engagement Analysis
Based on 500 tweetsHis tweets typically receive moderate engagement, with an average of 113 likes and 24 retweets per post.
8.9
Avg Likes/Tweet
28.8
Avg Retweets/Tweet
4,451
Total Likes
14,394
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
13
75th Percentile
5,417
Top Tweet
3.17
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
54.0%
Original
23.0%
Replies
13.4%
Retweets
9.6%
Quotes
0.0%
Threads
0.0%
With Media
50.4%
With Links
5.2%
With #Tags
35.6%
With @Mentions
6.0%
With Emojis
56
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
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 67 retweets (13% 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 11,999 followersHis audience includes manga enthusiasts and fans of his work, as well as those interested in his podcast.
Good
Audience Quality
16.0%
Suspicion Index
13.2%
Low-Quality %
156
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.6%
Empty Bio
6.5%
<10 Tweets
21.9%
Mass Following (>2K)
0.0%
New (<90 days)
32.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.8%
No URL
3.8%
<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.
33,208,988
Total Potential Reach
156
Median Follower Reach
458
75th Percentile Reach
13.1%
>1K followers
2.6%
>10K followers
0.8%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
85.4%
Creators
10,245 accounts
8.2%
Consumers
979 accounts
6.5%
Dormant
775 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):
172
Verified Followers
1.43% of total
3,382
Protected Accounts
28.19% of total
9 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 |
|---|---|---|---|
| @ABEMA | 2,139,732 | Media | News, Drama, Anime |
| @actor_satojiro | 2,019,059 | Actor | movies, theater, director |
| @udon_lov | 1,038,531 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @yuukikikuchi | 954,602 | Illustrator | Art, Drawing, Design |
| @susumu_fujita | 709,894 | Entrepreneur | CyberAgent, AbemaTV, M-League |
| @drunk_freedom | 628,678 | Photographer | stray cats, sun, moon |
| @yukakuramoti | 561,649 | e-sports | e-sports, blogging, horse racing |
| @EinsWappa | 539,117 | Comedian | Anime, Highlight, Weekdays |
| @saiso_ | 514,069 | Manga Artist | TV anime, manga, merchandise |
| @midori_2434 | 489,914 | Singer | Singing, Radio, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,290
Followers With Bio
2,709
Followers Without Bio
77.42%
% With Bio
22.58%
% 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 analyzed11,050
Combined Engagement
0
Total Likes
11,050
Total Retweets
2,210
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @satsuroku: 「競売物語（仮）」 家を９割引きで買おうという虫のいい話。 実話です。 https://t.co/logzk1A0F2
RT @yanmaga_new: 【読み切り漫画】『イメージ・ビデオ』 (1/13) https://t.co/JELKizmLj8
RT @hellblaze661: オカルトアクション「イヌジニン -犬神人-」2008年 第1話 1/12 https://t.co/3PO2Qnclm4
RT @burningblossom: というわけでアニメ版 便利屋斎藤さん、異世界に行く 最終回でした ありがとうございました！ #便利屋斎藤さん https://t.co/J5nGIotbCI
RT @kohno017: 短編集「足が早いイワシと私」が3月29日に発売されます。2冊目の短編集です！ 今まで商業誌に掲載された読み切りなど、過去作を集めた短編集です。今と絵が違う作品もあれば明るい話も暗い話もあり、幅広く楽しんで頂けると思います。 みんなRT（まわ）せRT（…
Key Insights & Takeaways
He frequently shares updates on his manga progress and collaborations with other creators. He engages with his audience by promoting his work and interacting with followers. His content often highlights themes of personal growth and storytelling through manga.
Strengths
- + Established follower base of 11,901
- + 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 @yoshidatakashi3 reveals an growing Twitter presence with 11,901 followers. The account demonstrates a content-creator strategy, averaging 37.7 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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