carol rocha
mami do tin, muito cringe 🥺, podcaster no @imaginajuntas_ #papodegato e #euquelute e estudante de psicologia.
123,390
Followers
1,159
Following
230,492
Tweets
927.9
Avg Engagement
522
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tchulim'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:2009-05-26
- Verification:No
- Location:São Paulo, Brasil
Data Summary
- Tweets Analyzed:3,153
- Avg Likes per Tweet:213.9
- Avg Retweets per Tweet:714.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,153 tweetsTchulim's tweets receive significant engagement, with an average of 27k likes and 1.9k retweets per post. Her content is highly shareable and resonates well with her followers.
213.9
Avg Likes/Tweet
714.0
Avg Retweets/Tweet
674,342
Total Likes
2,251,280
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
123
75th Percentile
432,563
Top Tweet
7.52
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
19.3%
Original
52.2%
Replies
19.3%
Retweets
9.3%
Quotes
0.0%
Threads
0.0%
With Media
21.3%
With Links
2.9%
With #Tags
70.6%
With @Mentions
10.0%
With Emojis
80
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.71
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.5%
Weekday Posts
17.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,153 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 607 retweets (19% 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 3,153 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 primarily consists of parents and young adults interested in relatable, lighthearted content. They are drawn to her candid and humorous take on everyday life.
Good
Audience Quality
18.5%
Suspicion Index
22.4%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.3%
Empty Bio
17.0%
<10 Tweets
9.1%
Mass Following (>2K)
0.0%
New (<90 days)
41.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
11.4%
<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.
83,525,362
Total Potential Reach
56
Median Follower Reach
202
75th Percentile Reach
5.7%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.3%
Creators
34,140 accounts
14.7%
Consumers
7,353 accounts
17.0%
Dormant
8,507 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
23,462
Protected Accounts
23.23% of total
8 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 |
|---|---|---|---|
| @LulaOficial | 7,760,777 | Politician | politics, worker's rights, social justice |
| @luscas | 7,431,851 | Influencer | Twitter, Brasil, Angelina Jolie |
| @brunogagliasso | 5,851,442 | Actor | Family, Acting, Fatherhood |
| @choquei | 5,314,929 | Entertainment News | artistas, famosos, acontecimentos |
| @pabllovittar | 3,718,859 | Singer | Music, Fashion, LGBTQ+ |
| @rafaelportugal | 3,685,029 | Actor | Comedy, Music, Television |
| @OCriador | 3,047,713 | Religious Leader | Deus, Onipresente, Onisciente |
| @oemputecido | 2,800,042 | Unknown | ,puto,perdido,2018 |
| @camilladelucas | 2,785,423 | Influencer | Reality TV, Influencer Marketing, Content Creation |
| @calabresadani | 2,597,844 | Comediante | Dancing, Comedy, TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,150
Followers With Bio
33,842
Followers Without Bio
66.49%
% With Bio
33.51%
% 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 3,153 analyzed898,330
Combined Engagement
0
Total Likes
898,330
Total Retweets
179,666
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
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…
RT @PopBase: Miss Argentina and Miss Puerto Rico announce they are now married. The couple, Mariana Varela and Fabiola Valentín, kept the…
RT @Beyonce: https://t.co/wgYIRZg465
RT @Beyonce: RENAISSANCE… https://t.co/b8HYlHD2yU
Key Insights & Takeaways
Her content often revolves around family life and parenting challenges She uses humor and personal anecdotes to connect with her audience She frequently incorporates trending topics and hashtags to increase visibility
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,390
- + 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 @tchulim reveals an well-established Twitter presence with 123,390 followers. The account demonstrates a conversation-first approach, averaging 927.9 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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