CNET Japan
朝日インタラクティブが運営する「CNET Japan」の公式アカウントです。Facebookページはhttps://www.facebook.com/unsupportedbrowser
188,975
Followers
11,598
Following
111,836
Tweets
14.4
Avg Engagement
10,611
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cnet_japan'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:2008-10-31
- Verification:Yes
- Location:Tokyo, Japan
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:7.0
- Avg Retweets per Tweet:7.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a consistent level of engagement with an average of 506 likes and 302 retweets per tweet. Its content is well-received and often shared by its followers.
7.0
Avg Likes/Tweet
7.4
Avg Retweets/Tweet
22,728
Total Likes
24,040
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
11
75th Percentile
8,527
Top Tweet
0.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
97.4%
Original
0.0%
Replies
2.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
98.2%
With Links
0.7%
With #Tags
2.6%
With @Mentions
0.0%
With Emojis
66
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
94.9%
Weekday Posts
5.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 83 retweets (3% 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 3,250 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 50,000 followersThe primary audience is Japanese users interested in technology and entertainment. The account also attracts international followers due to its coverage of global tech trends.
Average
Audience Quality
29.8%
Suspicion Index
39.8%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
40.5%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
58.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.0%
No URL
31.7%
<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.
25,382,483
Total Potential Reach
13
Median Follower Reach
137
75th Percentile Reach
5.8%
>1K followers
0.6%
>10K followers
0.1%
>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).
42.7%
Creators
21,334 accounts
16.9%
Consumers
8,441 accounts
40.5%
Dormant
20,225 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):
493
Verified Followers
0.49% of total
14,171
Protected Accounts
14.17% of total
7 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 |
|---|---|---|---|
| @BeatsByAssassin | 2,261,858 | Multitalented | Actor, Director, Rapper |
| @ABEMA | 2,140,759 | Media | News, Drama, Anime |
| @6BillionPeople | 2,033,633 | - | - |
| @takeshi_tsuruno | 655,122 | Singer | music, singing, art |
| @drunk_freedom | 628,052 | Photographer | stray cats, sun, moon |
| @gizmodojapan | 584,774 | Tech Blogger | Tech, Gadgets, Innovation |
| @ochyai | 551,846 | Media Artist | HCI, Fab, XR |
| @SEGA_OFFICIAL | 527,952 | Gaming | Games, Events, Merchandise |
| @kingjim | 449,967 | Stationery Manufacturer | stationery, office supplies, news |
| @DellConsumer_JP | 447,198 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,953
Followers With Bio
55,047
Followers Without Bio
44.95%
% With Bio
55.05%
% 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 3,250 analyzed14,172
Combined Engagement
3,453
Total Likes
10,719
Total Retweets
2,834
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @ryo_fujii1986: ネコ型配膳ロボが国内最多の10台走る千葉の漁師料理「かなや」を取材しました。ひっきりなしにロボが行き来するランチタイムは圧巻！8台導時点で、1日最大900回以上運んでいた人による配膳数が、導入前より5～7割減り、大幅な労働負荷の削減に繋がっ…
Amazon Music、プライム会員は1億曲聴き放題に--200万曲から拡充、シャッフル再生限定 https://t.co/U4VV6BIHHo
孫正義氏、株式市場から退場へ--「投資先は全滅に近い成績」「今後はArmに専念」 https://t.co/H2YQ0V76L0
「アイマス シャイニーカラーズ」5thライブで見た“心を強く揺さぶる挑戦的なステージ” https://t.co/S7CbunQwnN
Twitter、他人のツイートのインプレッション数を表示開始--マスク氏が狙い説明 https://t.co/5Z1iT8aZMs
Key Insights & Takeaways
The account frequently shares news about major tech companies and their services, such as Amazon Music and Prime membership benefits. It covers significant business and investment news, including statements from prominent figures like Masayoshi Son. The account also highlights entertainment content, such as live performances and music-related events, which resonate with its audience.
Strengths
- + Established follower base of 188,975
- + 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 @cnet_japan reveals an growing Twitter presence with 188,975 followers. The account demonstrates a content-creator strategy, averaging 14.4 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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