Julio Brant
Candidato à presidência do Club de Regatas Vasco da Gama. Vamos juntos por UM SÓ VASCO! #JulioPresidente #1Só💢
78,217
Followers
2,156
Following
2,251
Tweets
674.9
Avg Engagement
108
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jcbrant'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:2010-04-21
- Verification:No
- Location:Rio de Janeiro, Brasil
Data Summary
- Tweets Analyzed:2,117
- Avg Likes per Tweet:523.7
- Avg Retweets per Tweet:151.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,117 tweetsHis tweets receive a high number of likes and retweets, indicating strong support from his followers. The engagement is centered around his political campaign and his dedication to the club.
523.7
Avg Likes/Tweet
151.2
Avg Retweets/Tweet
1,108,582
Total Likes
320,077
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
34
Median Likes
7
Median Retweets
717
75th Percentile
52,362
Top Tweet
8.63
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
46.2%
Original
31.2%
Replies
16.0%
Retweets
6.6%
Quotes
0.0%
Threads
0.0%
With Media
49.3%
With Links
19.8%
With #Tags
53.4%
With @Mentions
8.7%
With Emojis
112
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.0%
Weekday Posts
35.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,117 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 339 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 2,117 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 followersHis audience primarily consists of Vasco da Gama fans and supporters who are passionate about the club's performance and legacy. The engagement is largely driven by fans who share his enthusiasm for the team.
Average
Audience Quality
27.6%
Suspicion Index
31.1%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
35.6%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
62.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
23.5%
<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.
3,203,404
Total Potential Reach
15
Median Follower Reach
82
75th Percentile Reach
3.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
40.0%
Creators
4,005 accounts
24.4%
Consumers
2,436 accounts
35.6%
Dormant
3,559 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):
17
Verified Followers
0.17% of total
761
Protected Accounts
7.61% of total
3 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 |
|---|---|---|---|
| @brunovicari | 241,157 | Sports Broadcaster | Sports, Television, Podcasts |
| @jazminmzz1 | 196,602 | Animal lover | Animales, Amor, No juzgar |
| @SilvioGReal | 109,579 | Influencer | - |
| @CuriosidadesBRL | 96,977 | Sports Journalist | futebol brasileiro |
| @dio_ianakiara | 92,733 | Crypto Investor | Crypto, Entrepreneurship, Technology |
| @Odineiribeiro | 89,972 | Radialista | Radialista, jornalista, narrador |
| @osmutantesmemes | 67,118 | Meme Creator | mutantes, memes, internet |
| @NewsAlmirantee | 61,248 | News Outlet | Vasco, Almirante, Diferente |
| @rodolfo1975 | 56,462 | Journalist | Sports, Journalism, Awards |
| @CombateCancer | 53,115 | Healthcare | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,121
Followers With Bio
3,879
Followers Without Bio
61.21%
% With Bio
38.79%
% 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 2,117 analyzed124,673
Combined Engagement
5,234
Total Likes
119,439
Total Retweets
24,935
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @neymarjr: Casemiro é o melhor volante do mundo há muito tempo
RT @ZelenskyyUa: Which @elonmusk do you like more?
RT @elonmusk: Won’t be long before we view gasoline cars the same way we view steam engines today
Hoje foi dia de chocolate. https://t.co/lpfjwyc2zQ
RT @edmundosouza7: Vasco !
Key Insights & Takeaways
He emphasizes gratitude and appreciation for the support from the fans His content is focused on promoting his candidacy and the club's values He uses hashtags and emotional language to connect with his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,217
- + 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 @jcbrant reveals an well-established Twitter presence with 78,217 followers. The account demonstrates a content-creator strategy, averaging 674.9 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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