Danrley Ferreira
Ator, Apresentador, Atleta e estudante de Pedagogia UFRJ | Contato: [email protected]
185,061
Followers
1,519
Following
12,459
Tweets
993.1
Avg Engagement
71
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Danrley'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:2015-06-25
- Verification:No
- Location:Rocinha, RJ
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:827.4
- Avg Retweets per Tweet:165.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHis tweets receive an average of 92,041 likes and 7,015 retweets, showing high engagement. His content often sparks discussion and emotional responses from his followers.
827.4
Avg Likes/Tweet
165.7
Avg Retweets/Tweet
2,682,399
Total Likes
537,261
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
34
75th Percentile
159,496
Top Tweet
5.37
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8.8%
Original
86.8%
Replies
3.2%
Retweets
1.2%
Quotes
0.0%
Threads
0.0%
With Media
7.5%
With Links
2.0%
With #Tags
85.4%
With @Mentions
22.0%
With Emojis
53
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
9.91
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.0%
Weekday Posts
24.0%
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 104 retweets (3% 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 followersHis audience includes fans of his acting and hosting career, as well as followers interested in his personal life and opinions. The audience also seems to appreciate his authenticity and relatability.
Good
Audience Quality
16.9%
Suspicion Index
18.6%
Low-Quality %
90
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.6%
Empty Bio
16.6%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
37.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.7%
No URL
10.7%
<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.
61,302,357
Total Potential Reach
90
Median Follower Reach
311
75th Percentile Reach
8.1%
>1K followers
0.8%
>10K followers
0.2%
>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).
71.0%
Creators
35,515 accounts
12.4%
Consumers
6,203 accounts
16.6%
Dormant
8,282 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):
96
Verified Followers
0.1% of total
19,888
Protected Accounts
19.69% 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 |
|---|---|---|---|
| @choquei | 5,255,552 | Entertainment News | artistas, famosos, acontecimentos |
| @IzaReal | 5,117,073 | Singer | Music, Singer, Songwriter |
| @GilDoVigor | 3,287,341 | Economist | Economia, PhD, Forbes |
| @oemputecido | 2,796,286 | Unknown | ,puto,perdido,2018 |
| @cleytu | 2,337,699 | Blogger | cotidiano, bastidores, curiosidades |
| @GarotaCiume | 2,222,948 | Influencer | Relationships, Love, Humor |
| @MarceloFreixo | 1,976,215 | Politician | Family, Education, Politics |
| @emicida | 1,961,237 | Rapper | Music, Performance, Netflix |
| @gusrochaa | 1,793,232 | Influencer | friendship, email, Brazil |
| @ValescaOficial | 1,717,891 | Singer | Music, Entertainment, Reality TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,998
Followers With Bio
25,999
Followers Without Bio
74.26%
% With Bio
25.74%
% 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 3,242 analyzed619,283
Combined Engagement
577,900
Total Likes
41,383
Total Retweets
123,857
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Não entendo pq o João não tem um fandom enorme e muitos milhões de seguidores. Ele é sensato, lindo, inteligente e nunca pipoca
fui duelar com o doguinho cria e perdi 😭 https://t.co/iNt2hZTOmG
Quando me perguntam como é morar na Rocinha https://t.co/Io96L5AZif
Gente e as publis do Lucas chegando a MILHÕES de likes. Realmente foi MUITO melhor pra ele ter saído naquele momento https://t.co/yTZzUH5KIe
Nos comentários // na dm https://t.co/SXPIEbB9f8
Key Insights & Takeaways
His top tweets often reflect personal opinions and emotional expressions, which resonate with his audience. He uses personal anecdotes to connect with followers, such as sharing experiences from living in Rocinha. He frequently comments on public figures, indicating a desire to engage in broader cultural and social conversations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 185,061
- + 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 @Danrley reveals an well-established Twitter presence with 185,061 followers. The account demonstrates a conversation-first approach, averaging 993.1 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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