João Victor Queiroz
oi gente me segue pls eu sou legal
766,726
Followers
681
Following
18,352
Tweets
153.7
Avg Engagement
256
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Jvnq'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:2012-02-14
- Verification:No
- Location:Contato: [email protected]
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:114.9
- Avg Retweets per Tweet:38.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsTheir tweets receive moderate engagement, with an average of 3,007 likes and 247 retweets per post.
114.9
Avg Likes/Tweet
38.8
Avg Retweets/Tweet
372,523
Total Likes
125,755
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
77
Median Likes
1
Median Retweets
144
75th Percentile
68,657
Top Tweet
0.2
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
44.9%
Original
46.6%
Replies
5.5%
Retweets
3.0%
Quotes
0.0%
Threads
0.0%
With Media
37.0%
With Links
1.6%
With #Tags
53.0%
With @Mentions
2.4%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.04
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 179 retweets (6% 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 3,242 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 followersJvnq's audience appears to be young and interested in gaming, memes, and internet trends.
Average
Audience Quality
32.3%
Suspicion Index
37.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.4%
Empty Bio
51.9%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
75.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
35.7%
<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.
3,995,384
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.0%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
26.0%
Creators
13,007 accounts
22.1%
Consumers
11,055 accounts
51.9%
Dormant
25,938 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):
34
Verified Followers
0.03% of total
7,678
Protected Accounts
7.6% of total
2 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 |
|---|---|---|---|
| @cauemoura | 2,656,577 | Comedian | comedy, vlogs, humor |
| @Feromonas_ | 531,622 | Streamer | Japan, Twitch, Gaming |
| @smurfdomuca | 353,092 | Streamer | Streamer, Youtube, Vestimenta |
| @ContextoRoblox | 220,684 | Roblox Content Creator | Roblox, Bancon, lives |
| @kaiquebritor | 218,634 | Podcaster | podcast, actor, humor |
| @comunidademc | 193,273 | Minecraft Community | minecraft, gaming, community |
| @Yulla | 175,955 | Streamer | Gaming, Esports, Streaming |
| @TheRealLilEdd | 168,413 | Mix Engineer | Music, Mixing, Engineering |
| @StevePerdido | 160,543 | Animator | Minecraft, Dima, Perdido |
| @UmildCDU | 158,573 | Youtuber | Youtuber, Joinvillense, Cheiroso |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,367
Followers With Bio
36,631
Followers Without Bio
63.73%
% With Bio
36.27%
% 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 3,242 analyzed130,961
Combined Engagement
20,554
Total Likes
110,407
Total Retweets
26,192
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @tvchany_: 240 https://t.co/wT6iWT8uao
RT @adultswim: C-132 #rickandmorty https://t.co/oq54C9C5TW
Uma vez a @MoonKase falou pra mim que gostava de uma menina, eu disse pra ela: blz entra no hypixel que quero gravar skywars
@MoonKase Quem é vc
RT @comunidademc: https://t.co/K4weVr0gbz
Key Insights & Takeaways
They use humor and personal anecdotes to connect with followers Their content often references gaming and internet culture They maintain an informal and approachable tone in their interactions
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 766,726
- + 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 @Jvnq reveals an well-established Twitter presence with 766,726 followers. The account demonstrates a conversation-first approach, averaging 153.7 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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