Rodrigo Fernandes
Comediante / Roteirista / Diretor / Jacaré Banguela 🇧🇷 / Second City Chicago 🇺🇸
488,075
Followers
2,455
Following
107,093
Tweets
803.6
Avg Engagement
2,722
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jbanguela'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:2008-02-13
- Verification:No
- Location:Sao Paulo, Brazil
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:119.5
- Avg Retweets per Tweet:684.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsHis tweets typically receive high engagement, with an average of 29k likes and 3.8k retweets, indicating a loyal and active audience.
119.5
Avg Likes/Tweet
684.1
Avg Retweets/Tweet
387,075
Total Likes
2,215,668
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
53
75th Percentile
419,827
Top Tweet
1.65
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
19.1%
Original
43.7%
Replies
17.2%
Retweets
20.0%
Quotes
0.0%
Threads
0.1%
With Media
43.7%
With Links
1.9%
With #Tags
62.5%
With @Mentions
7.1%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.29
Reply/Original Ratio
1.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 557 retweets (17% 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 3,239 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 followersHis followers are likely fans of comedy, cinema, and Brazilian culture, with a particular interest in independent films and international cinema trends.
Average
Audience Quality
30.0%
Suspicion Index
36.3%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
39.1%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
66.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
28.8%
<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.
102,300,167
Total Potential Reach
16
Median Follower Reach
88
75th Percentile Reach
3.8%
>1K followers
0.8%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
42.5%
Creators
21,251 accounts
18.4%
Consumers
9,176 accounts
39.1%
Dormant
19,573 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):
351
Verified Followers
0.35% of total
6,115
Protected Accounts
6.05% of total
7 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 | 14,104,957 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SabrinaSato | 11,225,543 | TV Host | sorriso, vida, alegria |
| @pefabiodemelo | 8,577,943 | Priest | Spirituality, Reflection, Clarity |
| @cellbit | 5,976,418 | Content Creator | Gaming, Paranormal, Content Creator |
| @choquei | 5,121,869 | Entertainment News | artistas, famosos, acontecimentos |
| @benlandis | 2,850,471 | - | - |
| @Miltonneves | 2,439,915 | Jornalista | Esportes, Jornalismo, Blogging |
| @cleytu | 2,338,812 | Blogger | cotidiano, bastidores, curiosidades |
| @6BillionPeople | 2,036,429 | - | - |
| @MarceloFreixo | 1,976,332 | Politician | Family, Education, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,199
Followers With Bio
51,800
Followers Without Bio
48.71%
% With Bio
51.29%
% 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 3,239 analyzed966,013
Combined Engagement
245,626
Total Likes
720,387
Total Retweets
193,203
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
Um clássico do cinema independente! https://t.co/AuZorxY4ZT
RT @vinijr: ✊🏿🖤! Obrigado pelo apoio! Eu não vou parar! #BailaViniJr https://t.co/h3RsmwYAYw
RT @JoshuaPHilll: Wow. Didn’t know Bo Burnham was a real one. Couldn’t be more relevant https://t.co/DOBEcUEVJQ
RT @Dexerto: A developer is making this game about a squirrel with a gun where you can also run around and rob people https://t.co/XrQ1nZ…
Key Insights & Takeaways
He frequently shares links to independent films, suggesting a focus on niche and artistic cinema He often comments on dubbing and language adaptation, showing an interest in global film distribution He references specific films and moments, indicating a deep knowledge and passion for cinema
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 488,075
- + 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 @jbanguela reveals an well-established Twitter presence with 488,075 followers. The account demonstrates a conversation-first approach, averaging 803.6 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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