NVIDIA Japan
エヌビディア ジャパンのオフィシャルアカウントです。エヌビディア ジャパンの最新情報をお知らせします。
39,787
Followers
227
Following
6,767
Tweets
25.1
Avg Engagement
1,016
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NVIDIAJapan'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:2010-10-30
- Verification:No
- Location:東京都港区赤坂
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:4.7
- Avg Retweets per Tweet:20.3
- Followers Analyzed:39,934
Engagement Analysis
Based on 500 tweets平均的なエンゲージメントを維持しており、ツイートの内容が技術的で専門的なため、一般ユーザーのリーチが限られている可能性があります。しかし、業界関係者からの反応は高いかもしれません。
4.7
Avg Likes/Tweet
20.3
Avg Retweets/Tweet
2,361
Total Likes
10,171
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
12
75th Percentile
4,589
Top Tweet
0.63
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
25.0%
Original
2.0%
Replies
69.8%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
60.0%
With Links
56.8%
With #Tags
75.2%
With @Mentions
7.2%
With Emojis
136
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97.2%
Weekday Posts
2.8%
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 349 retweets (70% 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 39,934 followers主に日本の技術者やエンジニア、AI分野に関心を持つユーザーがフォロワーです。また、ロボティクスやエッジコンピューティングに興味を持つ層も含まれている可能性があります。
Good
Audience Quality
14.9%
Suspicion Index
15.0%
Low-Quality %
116
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.2%
Empty Bio
10.3%
<10 Tweets
16.3%
Mass Following (>2K)
0.0%
New (<90 days)
28.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.9%
No URL
6.7%
<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.
48,559,104
Total Potential Reach
116
Median Follower Reach
385
75th Percentile Reach
9.7%
>1K followers
0.9%
>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).
78.3%
Creators
31,266 accounts
11.4%
Consumers
4,549 accounts
10.3%
Dormant
4,119 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):
513
Verified Followers
1.28% of total
5,541
Protected Accounts
13.88% of total
8 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 |
|---|---|---|---|
| @hootsuite | 7,326,220 | Social Media Manager | Social media, news, tips |
| @NVIDIAGeForce | 2,573,911 | Gaming | PC gaming, GeForce RTX 30 Series, UltimatePlay |
| @nvidia | 1,963,732 | Technology | Technology, Innovation, Graphics |
| @MASAI_Fischers | 1,279,393 | Content Creator | Machinery, BGM, Cars |
| @dospara_web | 681,659 | Retailer | Gaming PC, Creator PC, Home & Business PC |
| @4GamerNews | 649,871 | Gaming News | Mobile Games, Console Games, eSports |
| @gizmodojapan | 583,359 | Tech Blogger | Tech, Gadgets, Innovation |
| @avashaka | 563,424 | Content Creator | Cats, Daily streaming, Work opportunities |
| @GALLERIA_GM | 550,693 | Gaming PC Manufacturer | gaming, PC, events |
| @stylishnoob | 538,506 | Content Creator | Gaming, Cats, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
30,687
Followers With Bio
9,247
Followers Without Bio
76.84%
% With Bio
23.16%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed6,641
Combined Engagement
210
Total Likes
6,431
Total Retweets
1,328
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @4GamerNews: NVIDIA，次世代GeForce「GeForce RTX 4090」と「GeForce RTX 4080」を発表 https://t.co/jeQNVnT0oE #GeForce https://t.co/tBwmXVNSOl
RT @pc_watch: NVIDIA、従来から最大4倍速い「GeForce RTX 4090」。1,599ドルで10月12日発売 https://t.co/PN2R5Pw0UK https://t.co/MH5mYpN00T
RT @game_watch: NVIDIA、新世代GPU「GeForce RTX 40シリーズ」を発表！ 上位モデル「RTX 4090」が10月12日発売 https://t.co/NDkHdIYJzT #NVIDIA #RTX40 https://t.co/m2E77kZ…
NVIDIA は本日 #GTC22 にて、前世代に比べて最大 80 倍のパフォーマンスを提供する新しい Jetson Orin Nano システム オン モジュールを発表しました。NVIDIA Jetson のラインナップを拡大し、エントリー レベルのエッジ AI およびロボティクスの新しい基準を設定します。 https://t.co/KWWFi0P15J
RT @mn_pc_digital: 【速報】ついにGeForce RTX 4090以下、GeForce RTX 4000シリーズが発表！ Ampere世代からさらなる飛躍を実現した新モデルで、最大3GHzものオーバークロックにも対応するとのこと。 NVIDIA、“GeFor…
Key Insights & Takeaways
主要な発表はGTCやSIGGRAPHなどの大会で行われており、業界のトレンドに合わせた情報発信を行っている。 ツイート内容は技術的な製品やアーキテクチャに焦点を当てており、専門的な知識が求められる。 フォロワー層は日本の技術者やエンジニア、AI分野に関心を持つユーザーが中心である可能性が高い。
Strengths
- + Established follower base of 39,787
- + 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 @NVIDIAJapan reveals an growing Twitter presence with 39,787 followers. The account demonstrates a content-creator strategy, averaging 25.1 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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