NVIDIA SHIELD
One box to rule them all. #NVIDIASHIELD is a streaming beast with gaming, smart home, 4K HDR and Google Assistant capabilities.
70,385
Followers
392
Following
6,841
Tweets
471.4
Avg Engagement
413
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NVIDIASHIELD'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:2014-07-21
- Verification:No
- Location:California, USA
Data Summary
- Tweets Analyzed:3,174
- Avg Likes per Tweet:16.9
- Avg Retweets per Tweet:454.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,174 tweetsThe account has a high average engagement rate with likes and retweets, indicating a responsive and interested audience. The use of hashtags and links helps drive interaction.
16.9
Avg Likes/Tweet
454.5
Avg Retweets/Tweet
53,619
Total Likes
1,442,479
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
20
75th Percentile
308,866
Top Tweet
6.7
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
35.2%
Original
38.2%
Replies
16.4%
Retweets
10.2%
Quotes
0.0%
Threads
0.6%
With Media
65.0%
With Links
22.8%
With #Tags
75.2%
With @Mentions
20.1%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.08
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.6%
Weekday Posts
11.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,174 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 521 retweets (16% 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 3,174 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 is likely tech-savvy individuals interested in gaming and smart home technology. They are also drawn to content that highlights product features and updates.
Average
Audience Quality
27.8%
Suspicion Index
30.5%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.4%
Empty Bio
27.8%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
63.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.0%
No URL
17.7%
<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.
20,814,599
Total Potential Reach
23
Median Follower Reach
108
75th Percentile Reach
3.6%
>1K followers
0.4%
>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).
49.2%
Creators
4,925 accounts
23.0%
Consumers
2,300 accounts
27.8%
Dormant
2,775 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):
92
Verified Followers
0.92% of total
1,175
Protected Accounts
11.75% 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 |
|---|---|---|---|
| @JohnCena | 14,093,756 | Wrestler | Wrestling, Motivation, Self-promotion |
| @nvidia | 1,985,523 | Technology | Technology, Innovation, Graphics |
| @androidcentral | 1,248,475 | Tech Blogger | Tech, Android, Tips |
| @Richard7Hill | 292,779 | Football Fan | ManUtd, Snooker, England |
| @sedatceylann | 229,647 | Entrepreneur | Travel, Adventure, Photography |
| @NadelParis | 184,654 | Musician | Music, Production, Writing |
| @BernardMarr | 138,160 | Futurist | Business, Tech, Data |
| @tunguz | 123,686 | - | - |
| @NVIDIAAI | 121,645 | Technology | deep learning, #IAMAI, NVIDIA GTC |
| @DalithSteiger | 118,805 | Entrepreneur | AI, cognitive technologies, Switzerland |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,662
Followers With Bio
4,338
Followers Without Bio
56.62%
% With Bio
43.38%
% 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 3,174 analyzed1,140,150
Combined Engagement
0
Total Likes
1,140,150
Total Retweets
228,030
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @GameOfThrones: The trailer is here. #GameofThrones https://t.co/L48jOwsUzn
RT @Stranger_Things: From Russia with love… https://t.co/ZWEMgy63Et
RT @Avengers: Part of the journey is the end. https://t.co/9RvRQUxI3o
RT @Stranger_Things: JULY 4 https://t.co/UX9M1L02rd
RT @Stranger_Things: In the summer of 1985, the adventure continues... https://t.co/m3s6hyJL8k
Key Insights & Takeaways
The account frequently uses festive and celebratory themes to engage users. Content often includes product announcements and updates. It leverages hashtags and links to increase visibility and drive traffic.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,385
- + 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 @NVIDIASHIELD reveals an well-established Twitter presence with 70,385 followers. The account demonstrates a conversation-first approach, averaging 471.4 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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