BED
11 98591-7060 📧 [email protected] Ouça Certas Coisas 👇🏼
483,736
Followers
990
Following
52,811
Tweets
11.3
Avg Engagement
209
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BruninhoeDavi'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:2010-02-23
- Verification:No
- Location:Brasil
Data Summary
- Tweets Analyzed:3,204
- Avg Likes per Tweet:9.7
- Avg Retweets per Tweet:1.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,204 tweetsThe account has a moderate to high engagement rate, with an average of 344 likes and 26 retweets per tweet. The content is well-received and encourages interaction through comments and shares.
9.7
Avg Likes/Tweet
1.6
Avg Retweets/Tweet
30,954
Total Likes
5,140
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
12
75th Percentile
1,043
Top Tweet
0.02
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
44.2%
Original
39.2%
Replies
10.3%
Retweets
6.2%
Quotes
0.0%
Threads
0.0%
With Media
40.0%
With Links
17.3%
With #Tags
56.9%
With @Mentions
51.2%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.89
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
89.6%
Weekday Posts
10.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,204 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 331 retweets (10% 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 3,204 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 audience primarily consists of Brazilian users interested in entertainment, music, and celebrity culture. They are active and engaged, often participating in conversations and sharing content.
Below Average
Audience Quality
40.5%
Suspicion Index
56.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.8%
Empty Bio
71.1%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
80.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
56.9%
<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.
35,698,716
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
1.0%
>1K followers
0.2%
>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).
13.5%
Creators
6,745 accounts
15.5%
Consumers
7,726 accounts
71.1%
Dormant
35,529 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):
49
Verified Followers
0.05% of total
4,226
Protected Accounts
4.23% 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 |
|---|---|---|---|
| @cocielo | 8,058,198 | Influencer | Comedy, Gaming, Influencer |
| @lucaslucco | 4,898,368 | Singer | Music, Fitness, Lifestyle |
| @PaulaFernandes7 | 4,508,217 | Singer | Music, EP, 11:11 |
| @frasesdebebada | 4,343,449 | Influencer | Alcohol, Humor, Influencer |
| @cantordaniel | 2,106,329 | Singer | Music, Performance, Entertainment |
| @mcguime | 2,008,013 | Rapper | Music, Brazil, Rap |
| @Biel | 1,812,506 | Singer | Dad, singer, entrepreneur |
| @Maraisa | 1,563,618 | Singer | Sertaneja, Fitness, Random |
| @marigonzalez | 1,525,998 | Sales | business, marketing, communication |
| @BabuSantana | 1,334,202 | Actor | Ator, Cantor, Contato |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,442
Followers With Bio
58,558
Followers Without Bio
41.44%
% With Bio
58.56%
% 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 3,204 analyzed3,655
Combined Engagement
1,071
Total Likes
2,584
Total Retweets
731
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @VSertanejo: eu tô falando é de tomar cerveja junto, pegar na mão, levar pro bar e ter orgulho
RT @VSertanejo: hoje a saudade conversou comigo, veio falar de você sem razão... ESSA É FODA https://t.co/eGb6xKyAwW
RT @VSertanejo: ESSA ÉPOCA AQUI A GENTE ERA FELIZ E NÃO SABIA https://t.co/oXMSiFdoUT
Se eu morrer fale : a @MariliaMReal é real. Se eu não levantar : coloque a música CIUMEIRA 🎶🎶 Certeza que levanto.😂 https://t.co/tTbQMBBafJ
E a @Maraisa achando que engana a gente? 🤣🤣 https://t.co/Jx8S89IM9K
Key Insights & Takeaways
The account frequently collaborates with other influencers and celebrities, which boosts engagement and visibility. The content is lighthearted and humorous, appealing to a broad audience and encouraging participation. The use of music and references to songs adds a unique and relatable element to the tweets.
Strengths
- + Established follower base of 483,736
- + 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 @BruninhoeDavi reveals an growing Twitter presence with 483,736 followers. The account demonstrates a content-creator strategy, averaging 11.3 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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