META PCs
We Build INCREDIBLE Custom PCs For Any Budget! Sales/Support: [email protected] | Buy a PC: https://metapcs.com/
86,621
Followers
906
Following
9,298
Tweets
138.2
Avg Engagement
52
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @METAPCs'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:2020-12-12
- Verification:Yes
- Location:Phoenix, AZ
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:120.4
- Avg Retweets per Tweet:17.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. It uses a mix of promotional and conversational tweets to maintain engagement.
120.4
Avg Likes/Tweet
17.8
Avg Retweets/Tweet
72,098
Total Likes
10,667
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
0
Median Retweets
96
75th Percentile
6,635
Top Tweet
1.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
40.6%
Original
56.9%
Replies
2.0%
Retweets
0.5%
Quotes
0.0%
Threads
0.5%
With Media
46.2%
With Links
0.8%
With #Tags
54.6%
With @Mentions
17.4%
With Emojis
64
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.4
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 12 retweets (2% 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 599 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 likely PC enthusiasts, gamers, and individuals looking for custom-built computers. The content also attracts those interested in tech discussions and opinion-based questions.
Good
Audience Quality
16.9%
Suspicion Index
14.4%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.5%
Empty Bio
7.4%
<10 Tweets
13.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
71.0%
No URL
4.2%
<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.
77,354,678
Total Potential Reach
61
Median Follower Reach
230
75th Percentile Reach
7.1%
>1K followers
1.1%
>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).
79.2%
Creators
39,590 accounts
13.4%
Consumers
6,699 accounts
7.4%
Dormant
3,711 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):
1,639
Verified Followers
2.93% of total
3,311
Protected Accounts
5.92% 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 | 14,105,688 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ChloeGMoretz | 2,879,531 | Actress | feminism, empowerment, equality |
| @KEEMSTAR | 2,699,306 | YouTuber | Drama, News, Business |
| @BurgerKing | 2,040,332 | Fast Food | Fast Food, Flame-Grilled, Established |
| @NZXT | 1,068,170 | Gaming Brand | GAMERS, PC BUILDING, TECH |
| @Alphasniper97 | 1,067,042 | YouTuber | Gaming, Sponsorships, Business |
| @fousey | 981,759 | YouTuber | YouTube, Movies, Storytelling |
| @maxmoefoe | 958,615 | YouTuber | Toys, ColdOnes, Merch |
| @ShapedInternet | 873,733 | Tech Influencer | Technology, Innovation, Internet Culture |
| @TobyTurner | 873,418 | YouTuber | Gaming, Comedy, Vlogging |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,889
Followers With Bio
14,063
Followers Without Bio
74.87%
% With Bio
25.13%
% 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 599 analyzed21,178
Combined Engagement
15,091
Total Likes
6,087
Total Retweets
4,236
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
name the best free game ever https://t.co/lQk5slkReC
RT @NeebsOfficial: https://t.co/brdYOjEJDT
honestly curious to see how you answer 🤔 red or blue - and why? https://t.co/Xb8Bgfhc3r
NOOOOOOOOOOOOO https://t.co/IqD6va4kaV
manifest with me: 🕯 🕯 🕯 🕯 🕯 FREE PC 🕯 🕯 🕯 🕯 🕯
Key Insights & Takeaways
The account blends product promotion with interactive content to keep followers engaged. It uses questions and opinions to spark conversation and encourage audience participation. The mix of informative and entertaining tweets helps maintain a broad appeal.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,621
- + 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 @METAPCs reveals an well-established Twitter presence with 86,621 followers. The account demonstrates a conversation-first approach, averaging 138.2 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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