トムの実況チャンネル
UUUM所属 YouTubeでゲーム実況をしているトムです！( ｰ`дｰ´) インスタ: https://www.facebook.com/unsupportedbrowser
117,081
Followers
409
Following
12,631
Tweets
298.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MBTom98'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:2011-11-30
- Verification:No
- Location:日本・イギリス
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:245.6
- Avg Retweets per Tweet:53.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,202 tweetsHis tweets receive an average of 8,563 likes and 3,790 retweets, indicating strong audience interaction.
245.6
Avg Likes/Tweet
53.2
Avg Retweets/Tweet
786,383
Total Likes
170,482
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
98
Median Likes
4
Median Retweets
303
75th Percentile
26,794
Top Tweet
2.55
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
61.6%
Original
32.2%
Replies
4.5%
Retweets
1.7%
Quotes
0.0%
Threads
0.0%
With Media
41.7%
With Links
4.9%
With #Tags
43.5%
With @Mentions
30.7%
With Emojis
40
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.52
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 144 retweets (4% 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 3,202 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 followersHis audience is primarily interested in gaming content, with a focus on real-time gameplay and entertainment.
Good
Audience Quality
19.2%
Suspicion Index
19.4%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.8%
Empty Bio
19.2%
<10 Tweets
14.3%
Mass Following (>2K)
0.0%
New (<90 days)
39.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
11.0%
<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.
4,222,361
Total Potential Reach
57
Median Follower Reach
269
75th Percentile Reach
7.3%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.5%
Creators
5,349 accounts
27.3%
Consumers
2,727 accounts
19.2%
Dormant
1,924 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):
39
Verified Followers
0.39% of total
829
Protected Accounts
8.29% of total
2 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 |
|---|---|---|---|
| @LANDN | 224,396 | Entrepreneur | manifesting, CEO, ARKH |
| @codereifn | 129,998 | Artist | Gaming, Team, Fan Art |
| @seka_t_eco | 80,358 | Influencer | Eco, Strongest, Eco-sama |
| @Eze7e | 76,030 | Influencer | food, beauty, gaming |
| @nagatukasa | 70,439 | Management/Administration | construction, cars, food |
| @kanou7na | 60,874 | Mangaka/Artist | manga, illustration, freelance work |
| @roccazzz | 58,263 | Gamer | Fortnite, Gaming, Friendship |
| @Marz_OW | 56,947 | Professional Gamer | Fortnite, Competitive Gaming, Business |
| @Kurenfn | 51,486 | Professional Gamer | Valorant, Gaming, Competitive |
| @saekinaokitokyo | 50,688 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,223
Followers With Bio
2,777
Followers Without Bio
72.23%
% With Bio
27.77%
% 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 3,202 analyzed88,295
Combined Engagement
50,525
Total Likes
37,770
Total Retweets
17,659
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
マイク渡されるのかと思ったら🤣🤦♂️ 海外でめっちゃ拡散されてたwww https://t.co/TyibnlzX4n
RT @marshmellomusic: Holy!!! We just made history today. We can all tell our kids one day that we attended the first ever virtual concert @FortniteGame
まじで死ぬかとおもったけどちょっとした怪我だけですんだ。(後ろの席にいた) 乗ってたみんな無事で奇跡 https://t.co/LQ5e31xfwf
OMG! クリエイティブワールドカップで2位取れたぞ🔥🔥 1位めっちゃ惜しかった😭 GG https://t.co/xWlx6OBp2A
RT @fireblare1: もし、ゴルフとサッカーの実況が反対だったらwwww これ見てずっと爆笑してるww https://t.co/Um3grroC2n
Key Insights & Takeaways
His content often includes humorous and unexpected moments that resonate with his audience He shares personal experiences and reactions, which help build a connection with followers He highlights achievements and milestones, which can drive further engagement and support
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 117,081
- + 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 @MBTom98 reveals an well-established Twitter presence with 117,081 followers. The account demonstrates a content-creator strategy, averaging 298.8 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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