IASMIN TURBININHA 🎧🎶
PARCERIAS : [email protected] 🗳 CONTATO DE SHOW 21- 97546-9049
283,619
Followers
1,729
Following
98,401
Tweets
465.6
Avg Engagement
34
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @turbininha19'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:2015-10-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,044
- Avg Likes per Tweet:37.5
- Avg Retweets per Tweet:428.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,044 tweetsHer tweets typically receive a high number of likes and retweets, indicating a loyal and active audience. The engagement is driven by her humorous and relatable content.
37.5
Avg Likes/Tweet
428.1
Avg Retweets/Tweet
114,239
Total Likes
1,302,996
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
12
Median Retweets
99
75th Percentile
237,408
Top Tweet
1.64
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
41.5%
Original
19.4%
Replies
37.3%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
17.7%
With Links
1.9%
With #Tags
57.6%
With @Mentions
39.6%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.4%
Weekday Posts
24.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,044 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 1,134 retweets (37% 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 3,044 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 followersHer audience is primarily interested in music, especially funk, and entertainment events. They engage with her content through likes and retweets, showing interest in her personal and professional life.
Good
Audience Quality
19.6%
Suspicion Index
20.6%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
20.3%
Empty Bio
34.8%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
37.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
21.0%
<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.
18,181,456
Total Potential Reach
38
Median Follower Reach
137
75th Percentile Reach
3.4%
>1K followers
0.3%
>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).
36.0%
Creators
18,001 accounts
29.2%
Consumers
14,594 accounts
34.8%
Dormant
17,405 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):
16
Verified Followers
0.02% of total
11,847
Protected Accounts
11.85% of total
4 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 |
|---|---|---|---|
| @Privacidades | 7,909,565 | Influencer | Love, Thoughts, Original |
| @Casimiro | 4,069,374 | Streamer | Vasco da Gama, Presenting, Streaming |
| @gloriagroove | 1,566,376 | Singer | Music, Fashion, LGBTQ+ |
| @lacerda | 1,268,068 | Influencer | Mysteries, Communication, Creativity |
| @caetanoveloso | 1,081,720 | Musician | Music, Album, Listening |
| @RapMais | 736,377 | Media | Rap, Hip-hop, Lifestyle |
| @PROIBIDAODORIO2 | 569,486 | Content Creator | Music, Rio de Janeiro, YouTube |
| @nathfinancas | 522,122 | Financial Educator | Finanças, Empreendedorismo, Conteúdo |
| @mixcloud | 366,878 | Music platform | music, sustainability, support |
| @mctikao | 323,376 | Rapper | Music, Faith, Gratitude |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
80,418
Followers With Bio
19,582
Followers Without Bio
80.42%
% With Bio
19.58%
% 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 3,044 analyzed520,606
Combined Engagement
0
Total Likes
520,606
Total Retweets
104,121
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Casimiro: Assim que acordei vi a montagem tosca feita com o intuito de enganar o eleitor a uma semana do 2° turno. Repudio a utilização…
RT @rihanna: how the gang pulled up to black history month https://t.co/gprFgyP3Xm
RT @Whats__GoodSon: This is dope https://t.co/jUr8xieDe4
RT @pedrosacelle: Ao vivo na Globo kkkkkkkk https://t.co/1hCIAEWwU2
RT @georgerussgf: o que adianta n ter vindo de vermelho se eu olho assim p cada um que passa com a camiseta do bozo ou da seleção kkkkkkkkk…
Key Insights & Takeaways
She leverages humor and personal stories to connect with her audience Her content often highlights her role as a DJ and her involvement in music events She uses her platform to promote collaborations and events, which drives engagement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 283,619
- + 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 @turbininha19 reveals an well-established Twitter presence with 283,619 followers. The account demonstrates a content-creator strategy, averaging 465.6 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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