ciclopin
ex-integrante da one direction. 📩 [email protected]
961,696
Followers
1,037
Following
40,467
Tweets
4,379.2
Avg Engagement
372
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ciclopin'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:2018-06-21
- Verification:No
- Location:São Paulo, Brazil
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:3,837.8
- Avg Retweets per Tweet:541.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,229 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
3,837.8
Avg Likes/Tweet
541.4
Avg Retweets/Tweet
12,392,301
Total Likes
1,748,157
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
144
Median Likes
1
Median Retweets
4,050
75th Percentile
141,923
Top Tweet
4.55
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
36.8%
Original
60.1%
Replies
1.8%
Retweets
1.3%
Quotes
0.0%
Threads
0.0%
With Media
15.7%
With Links
3.7%
With #Tags
63.5%
With @Mentions
11.1%
With Emojis
48
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.63
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 57 retweets (2% 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 3,229 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 followers are likely fans of One Direction and individuals interested in his personal views and opinions.
Average
Audience Quality
30.9%
Suspicion Index
43.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.4%
Empty Bio
49.4%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
37.9%
<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.
9,034,059
Total Potential Reach
2
Median Follower Reach
15
75th Percentile Reach
1.0%
>1K followers
0.1%
>10K followers
0.0%
>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).
28.6%
Creators
14,319 accounts
22.0%
Consumers
10,980 accounts
49.4%
Dormant
24,701 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):
36
Verified Followers
0.04% of total
25,156
Protected Accounts
24.91% of total
1 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 |
|---|---|---|---|
| @loud_voltan | 1,095,362 | Content Creator | youtuber, influencer, streamer |
| @jaoromania | 970,837 | Singer | Music, Brazil, Pop |
| @centralreality | 914,793 | Entertainment News | Reality TV, News, Big Brother |
| @trajaza | 740,042 | Tarot Reader | Tarô, Previsões, Consultas |
| @daniellediz | 678,913 | Food Blogger | Food, Lifestyle, Travel |
| @foquinha | 570,216 | Journalist | Cultura pop, entrevistas, podcast |
| @diojodior | 563,703 | Content Creator | Orange, Hai, Videos |
| @crashbandcot | 460,148 | - | - |
| @Felcca | 458,621 | Unknown | #seita, s**** |
| @Mfutebolisticos | 437,167 | Meme Creator | Futebol, Memes, Live |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,534
Followers With Bio
43,465
Followers Without Bio
56.96%
% With Bio
43.04%
% 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 3,229 analyzed585,666
Combined Engagement
404,684
Total Likes
180,982
Total Retweets
117,133
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
caralho eh um debate pra decidir o futuro do brasil e eu rachando o bico como pode
RT @Louis_Tomlinson: I’m so excited to finally tell you that my new album Faith In The Future is out 11th November. After living with this…
? https://t.co/ZlA7q5bsrR
👍 https://t.co/oUfpPdwV83
estou de luto pelos 2 feriados seguidos q tivemos..nunca mais serei o msm
Key Insights & Takeaways
He often shares personal experiences and emotional content, which resonates with his audience. He engages in political and social discussions, reflecting his interest in current events. His use of informal and direct language makes his tweets relatable and impactful.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 961,696
- + 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 @ciclopin reveals an exceptionally influential Twitter presence with 961,696 followers. The account demonstrates a conversation-first approach, averaging 4,379.2 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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