ミルクボーイ駒場
ミルクボーイというコンビで漫才をしています。あとトレーニングもしています。こどもがかわいい。
110,773
Followers
725
Following
17,745
Tweets
430.4
Avg Engagement
639
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @88MBOy'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: Macro Influencer (100K+)
- Account Age:2010-07-04
- Verification:No
- Location:大阪
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:385.1
- Avg Retweets per Tweet:45.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweets投稿は高評価とリツイート数が平均して高く、フォロワーとの関わりが深いことがわかります。特に大きな出来事や喜びを共有する際には高い反響を得ています。
385.1
Avg Likes/Tweet
45.4
Avg Retweets/Tweet
1,231,839
Total Likes
145,078
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
2
Median Retweets
212
75th Percentile
90,559
Top Tweet
3.89
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
29.8%
Original
37.7%
Replies
7.0%
Retweets
25.5%
Quotes
0.0%
Threads
0.1%
With Media
48.6%
With Links
7.1%
With #Tags
48.7%
With @Mentions
11.4%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.27
Reply/Original Ratio
3.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 223 retweets (7% 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 3,199 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 followers幅広い年齢層のフォロワーがおり、漫才やトレーニングに興味を持つ人々が中心です。家族や子育てに関心を持つ層も含まれている可能性があります。
Average
Audience Quality
27.6%
Suspicion Index
34.5%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
33.9%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
24.6%
<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.
4,746,978
Total Potential Reach
13
Median Follower Reach
87
75th Percentile Reach
3.6%
>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).
44.8%
Creators
4,482 accounts
21.3%
Consumers
2,127 accounts
33.9%
Dormant
3,391 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
0.3% of total
1,907
Protected Accounts
19.07% of total
4 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 |
|---|---|---|---|
| @AliceProject_mb | 356,413 | Idol | Music, Idol, Performance |
| @k_koyama_j | 251,285 | - | - |
| @TENGA_PR | 216,292 | Retail | Adult toys, Pop-up events, Online store |
| @takemari1219 | 187,123 | YouTuber | fitness, YouTuber, workout |
| @michio_isou_bot | 166,404 | Bot Account | Tom Brown, Comedy, DM Submissions |
| @T_IPPONGP | 164,306 | - | - |
| @Babu__run | 148,824 | Gift giver | gifts, limited edition, giveaways |
| @CACAOCAT_ | 131,662 | Chocolatier | chocolate, cats, Hokkaido |
| @sirabee_news | 127,553 | News | News, Entertainment, Food |
| @Naasuke_fit | 119,963 | Fitness Influencer | Fitness, Burgers, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,570
Followers With Bio
4,430
Followers Without Bio
55.7%
% With Bio
44.3%
% 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 3,199 analyzed276,685
Combined Engagement
256,885
Total Likes
19,800
Total Retweets
55,337
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
もとは「僕が好きな食べ物の名前を忘れた」という話やったけど、「僕が僕の好きな食べ物を忘れている」という状態がやはり無理があるという事で、色々考えた結果「僕のおかんが好きな食べ物を忘れた」という話になった。すると違和感が消えてどんどんスムーズになって優勝できた。 おかんありがとう。
M-1グランプリ2019、優勝できました！！！ 今まで応援頂いていた皆様本当にありがとうございました！！！ もちろんここで落ち着かず、まだまだ頑張っていきます！！！ これからもミルクボーイをよろしくお願いします！ ！！！ 本当にありがとうございました！！！ https://t.co/qGGHyGQpkN
おかんが言うには、量が想像もつかんらしいねん。 ありがとうございます！！ https://t.co/W077z44o7Z
どうぶつの森にミルクボーイの衣装らしき服が売っていたと聞きました！ 調べると確かにありました！ 僕の方が少し安い。 https://t.co/vvyOnNJ7zD
【ご報告】 先程僕らのラジオでも言わせてもらった通り、先日、赤ちゃんが産まれました！ 立派な男の子で、母子共に健康です！ 奥さんが本当に頑張ってくれました！！ 我が家にミルクボーイがもう一人増えました🐄 これからより一層頑張りたいと思います！ 今後もよろしくお願いします！！
Key Insights & Takeaways
漫才とトレーニングという多様な活動を展開している 家族との絆や子育てへの関心が高い 大きな成果や出来事に対して感謝と喜びを表現する傾向がある
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,773
- + 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 @88MBOy reveals an well-established Twitter presence with 110,773 followers. The account demonstrates a conversation-first approach, averaging 430.4 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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