igão
contrariando as estatísticas | contato profissional: [email protected]
1,695,975
Followers
406
Following
24,591
Tweets
3,302.1
Avg Engagement
180
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @igorcavalari'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: Mega Influencer (1M+)
- Account Age:2015-03-23
- Verification:No
- Location:mundo mágico de Oz
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:2,910.4
- Avg Retweets per Tweet:391.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsHis tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement is likely driven by emotionally charged and relatable content.
2,910.4
Avg Likes/Tweet
391.7
Avg Retweets/Tweet
9,420,943
Total Likes
1,268,020
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
437
Median Likes
23
Median Retweets
2,400
75th Percentile
302,415
Top Tweet
1.95
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
44.7%
Original
26.2%
Replies
16.8%
Retweets
12.2%
Quotes
0.0%
Threads
0.0%
With Media
33.7%
With Links
4.0%
With #Tags
45.5%
With @Mentions
18.0%
With Emojis
62
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 545 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 3,237 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 appears to be interested in personal narratives, celebrity news, and emotional content. They engage actively with his posts, showing a preference for relatable and inspiring stories.
Average
Audience Quality
24.8%
Suspicion Index
34.7%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.0%
Empty Bio
36.9%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
52.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
27.3%
<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.
20,702,583
Total Potential Reach
9
Median Follower Reach
51
75th Percentile Reach
2.3%
>1K followers
0.2%
>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).
43.5%
Creators
21,774 accounts
19.6%
Consumers
9,781 accounts
36.9%
Dormant
18,445 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):
118
Verified Followers
0.12% of total
21,024
Protected Accounts
21.02% of total
3 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 |
|---|---|---|---|
| @vitimasunidasbr | 5,732,431 | Activist | Advocacy, Support, Victims |
| @IngridGuimaraes | 2,600,696 | Actress | Motherhood, Acting, Comedy |
| @loud_victor | 1,918,434 | Comedian | Gaming, Joker, Fun |
| @sofiasantino | 1,710,494 | Comedian | Jokes, Predictable, Etc. |
| @MariaRita | 1,323,233 | Singer | music, producer, mother |
| @LeoPicon | 1,197,270 | Influencer | Fashion, Self-love, Lifestyle |
| @danielamercury | 936,322 | Singer | Music, Axé, Queen |
| @rosana | 696,763 | Writer | Escritora, Física, Jornalista |
| @eumaria | 557,471 | - | - |
| @eibrunocorrea | 392,946 | Content Creator | Youtuber, streamer, videogame |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,122
Followers With Bio
42,878
Followers Without Bio
57.12%
% With Bio
42.88%
% 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 3,237 analyzed860,309
Combined Engagement
815,411
Total Likes
44,898
Total Retweets
172,062
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
hoje eu descobri o que é morrer de amor https://t.co/y493Poltwr
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🕊👋🏽🖤 https://t.co/BEdLo14Vbv
UNIÃO SINISTRA 🤝🏾❤️ https://t.co/iccdPCoGPW
Key Insights & Takeaways
He often shares personal and emotional experiences, which resonate with his audience. He frequently references public figures and events, suggesting a focus on current trends and celebrity culture. His content is designed to evoke strong emotional responses and generate engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,695,975
- + 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 @igorcavalari reveals an exceptionally influential Twitter presence with 1,695,975 followers. The account demonstrates a content-creator strategy, averaging 3,302.1 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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