研ナオコ
私の宝物 家族です。
99,438
Followers
451
Following
14,739
Tweets
1,096.3
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @naokoken77'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:2010-04-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:785.5
- Avg Retweets per Tweet:310.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,187 tweetsThe account has a high level of engagement, with an average of 232,447 likes and 39,076 retweets per tweet. This suggests a dedicated and active follower base that interacts frequently with the content.
785.5
Avg Likes/Tweet
310.8
Avg Retweets/Tweet
2,503,287
Total Likes
990,497
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
6
Median Retweets
81
75th Percentile
607,363
Top Tweet
11.02
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
33.6%
Original
29.1%
Replies
29.0%
Retweets
8.4%
Quotes
0.0%
Threads
0.1%
With Media
49.6%
With Links
12.6%
With #Tags
65.5%
With @Mentions
38.6%
With Emojis
68
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 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 923 retweets (29% 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 3,187 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 followersThe audience appears to be primarily Japanese, interested in personal stories and emotional content. They are likely family members, fans, or colleagues who follow the user's professional and personal life.
Average
Audience Quality
20.8%
Suspicion Index
21.9%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.6%
Empty Bio
16.9%
<10 Tweets
17.0%
Mass Following (>2K)
0.0%
New (<90 days)
44.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
11.2%
<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.
15,557,025
Total Potential Reach
71
Median Follower Reach
278
75th Percentile Reach
7.1%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.7%
Creators
6,865 accounts
14.4%
Consumers
1,443 accounts
16.9%
Dormant
1,692 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):
54
Verified Followers
0.54% of total
1,755
Protected Accounts
17.55% of total
6 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 |
|---|---|---|---|
| @sosotakei | 1,551,973 | Athlete | fencing, athlete, warrior |
| @YutoNagatomo5 | 1,497,223 | Footballer | Football, Japan, InterMilan |
| @michopaaaaa | 1,415,521 | Model | Fashion, Modeling, Media |
| @hamaitachi | 777,395 | Comedian | Comedy, YouTube, Entertainment |
| @kanechi_monster | 752,741 | - | - |
| @akira5423 | 740,576 | Illustrator | Voice, Drawing, Instagram |
| @U_and_YOU | 641,601 | Actor | Actor, Singer, Songwriter |
| @thetvjp | 634,883 | Entertainment | Drama, Anime, News |
| @Tokyo2020jp | 431,834 | Sports Organizer | Olympics, Paralympics, Tokyo |
| @uedakana | 429,052 | Voice Actress | Gaming, Mahjong, Cooking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,743
Followers With Bio
3,257
Followers Without Bio
67.43%
% With Bio
32.57%
% 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 3,187 analyzed2,358,633
Combined Engagement
2,050,478
Total Likes
308,155
Total Retweets
471,727
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
生放送のスタジオの中は、笑いでいっぱいでした。けんちゃんも喜んでいるかなぁ。皆さん、ご覧いただきありがとうございました。 https://t.co/xcuLt68utS
けんちゃん、駄目だった(涙) どうしよう、、..
今は何も 考えられません けんちゃんと、もう会えなくなっちゃう 悲し過ぎて あり過ぎる想いが整理できません 一緒に仕事が出来て幸せでした ありがとう…
けんちゃん、早く治してまたバカ殿一緒にやりましょうね🙋♀️🥚
クルエラのコスプレしてみました🙋♀️ https://t.co/6gs8IaIGfX
Key Insights & Takeaways
The user frequently shares emotional and personal experiences, indicating a focus on authenticity and connection. There is a strong emphasis on family and work relationships, suggesting these are central themes in the user's content. The user's content often evokes strong emotional responses, which may contribute to the high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,438
- + 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 @naokoken77 reveals an exceptionally influential Twitter presence with 99,438 followers. The account demonstrates a content-creator strategy, averaging 1,096.3 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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