Edu/Duda
(Ele/Dele) 🎙Podcaster no @fofocapodcast | publicidade: [email protected]
95,485
Followers
1,180
Following
85,884
Tweets
545.3
Avg Engagement
86
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dudadellorusso'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:2009-05-19
- Verification:No
- Location:são paulo
Data Summary
- Tweets Analyzed:3,181
- Avg Likes per Tweet:267.0
- Avg Retweets per Tweet:278.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,181 tweetsThe account maintains a high level of engagement, suggesting a dedicated and active audience. The content is well-received, with a mix of likes and retweets indicating broad appeal.
267.0
Avg Likes/Tweet
278.3
Avg Retweets/Tweet
849,191
Total Likes
885,428
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
111
75th Percentile
429,688
Top Tweet
5.71
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
12.6%
Original
69.0%
Replies
11.8%
Retweets
6.6%
Quotes
0.0%
Threads
0.0%
With Media
33.0%
With Links
2.8%
With #Tags
81.8%
With @Mentions
33.1%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.49
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.4%
Weekday Posts
14.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,181 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 375 retweets (12% 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 3,181 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 followersThe audience appears to be interested in social justice, music, and cultural commentary, with a focus on racial and gender issues. They are likely to be engaged with discussions around art, media, and personal storytelling.
Average
Audience Quality
22.9%
Suspicion Index
28.6%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
23.7%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
49.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
15.9%
<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.
7,227,697
Total Potential Reach
42
Median Follower Reach
180
75th Percentile Reach
5.5%
>1K followers
0.7%
>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).
57.7%
Creators
5,767 accounts
18.6%
Consumers
1,862 accounts
23.7%
Dormant
2,371 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):
18
Verified Followers
0.18% of total
1,850
Protected Accounts
18.5% of total
5 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 |
|---|---|---|---|
| @chicobarney | 1,049,023 | Author | books, writing, popular |
| @rosana | 700,349 | Writer | Escritora, Física, Jornalista |
| @ErickDiazSp | 448,221 | Influencer | PLATAFORMAS, PARCERIAS, JOBS |
| @greengodict | 308,242 | Translator | Brazilian culture, English language, dictionary |
| @kaiquebritor | 217,527 | Podcaster | podcast, actor, humor |
| @victoroliveira | 198,559 | Unknown | - |
| @YuriOberon | 165,700 | Content Creator | Content, Rio de Janeiro, Exclusive Content |
| @hariel_xxx | 121,624 | Makeup Artist | skater boy, versatile twink, smoking, outdoors, cruising, foot worship |
| @zwendelreis | 85,393 | Unknown | Boredom, sleep, laziness |
| @musclegodz | 70,610 | Fitness Influencer | Fitness, Camming, Adult entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,865
Followers With Bio
4,135
Followers Without Bio
58.65%
% With Bio
41.35%
% 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 3,181 analyzed790,301
Combined Engagement
78,429
Total Likes
711,872
Total Retweets
158,060
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @LulaOficial: Democracia. https://t.co/zvnBbnQ3HG
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 da minha imagem sem autorização para fins eleitorais e reafirmo minha posição de insatisfação com o atual governo. Como sabem, dia 30 meu vo
A última mulher negra a vencer a categoria de Álbum do Ano no #GRAMMYs foi a Lauryn Hill, em 1999. Desde então a academia ignorou trabalhos como de Beyoncé, Janelle Monae, Rihanna, Alicia Keys, Jazmine… https://t.co/mMgq5G1w1c
RT @jnascim: VALE VER: No #ProfissãoRepórter, Caco Barcellos flagra ação de compra de votos pela prefeitura de Coronel Sapucaia (MS) com beneficiários do Auxílio Brasil, a poucas horas das #Eleições2022. Mais: a reportagem rendeu ao jornalista uma ameaça enquanto ainda estava na
sou obcecado pelas histórias que ouço de gente que morou no “redondo” kkkk é um prédio no centro de sp no estilo “pagou - morou” tem todo tipo de gente possível. o elevador quebra semanalmente. os moradores jogam coisas pela janela (de botijão de gás até melancia) um caos https
Key Insights & Takeaways
The account frequently highlights underrepresented voices in music and culture, such as the recognition of Lauryn Hill's achievements. They engage with personal and local stories, like the 'redondo' building in São Paulo, which adds a relatable and community-focused element. The use of multimedia, such as links to content, suggests a strategy to drive traffic and deepen audience interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 95,485
- + 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 @dudadellorusso reveals an well-established Twitter presence with 95,485 followers. The account demonstrates a conversation-first approach, averaging 545.3 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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