Rafael Colling
Comunicador da Rádio Gaúcha. Apresentador, comentarista e repórter esportivo. O Barão da Madrugada. Fã do Seu Ademir.
52,993
Followers
3,372
Following
57,227
Tweets
31.0
Avg Engagement
151
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rafaelcolling'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:2011-01-21
- Verification:No
- Location:Rádio Gaúcha - POA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:29.4
- Avg Retweets per Tweet:1.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared, contributing to his growing influence.
29.4
Avg Likes/Tweet
1.6
Avg Retweets/Tweet
95,421
Total Likes
5,319
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
23
75th Percentile
5,302
Top Tweet
0.59
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
58.3%
Original
34.3%
Replies
0.7%
Retweets
6.7%
Quotes
0.0%
Threads
0.0%
With Media
12.7%
With Links
0.4%
With #Tags
43.0%
With @Mentions
17.8%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
9.91
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 22 retweets (1% 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 3,249 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 followersHis audience primarily consists of sports fans, especially those interested in football and Brazilian culture. They appreciate his commentary, humor, and connection to local sports events.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
100.0%
<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.
7,343,091
Total Potential Reach
12
Median Follower Reach
67
75th Percentile Reach
3.7%
>1K followers
0.6%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
741
Protected Accounts
7.41% of total
4 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 |
|---|---|---|---|
| @PVC | 1,543,341 | Journalist | Futebol, Esportes, Jornalismo |
| @AlexMuller93 | 370,506 | Presenter | DEUS, FAMÍLIA, TRABALHO |
| @rivalcir | 368,492 | Inspirational Speaker | #rivalcir, #misturaboa, Facebook |
| @EduardoLeite_ | 244,795 | Politician | politics, law, public service |
| @PokaCultura | 229,139 | Writer | invisibility, stealth, blue eyes |
| @realfetter | 217,586 | Entertainment | Entertainment, Music, Food |
| @futnatv | 194,382 | Sports Media | futebol, TV, mídia esportiva |
| @MarceloLins68 | 179,071 | Journalist | journalism, writing, news |
| @1NewsBrasil | 170,218 | News Outlet | News, Brazil, Routine |
| @amandafaudi | 159,980 | Diretora-executiva | Politics, Journalism, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,039
Followers With Bio
4,961
Followers Without Bio
50.39%
% With Bio
49.61%
% 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 3,249 analyzed16,502
Combined Engagement
15,644
Total Likes
858
Total Retweets
3,300
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Que coisa fantástica. PQP. Muito feliz. https://t.co/gQakjg8fia
A maior e mais importante defesa da história das Copas. https://t.co/mF01gCm82L
Paulo Paixão falou a maior verdade de 2021 no Beira-Rio.
Torcida do Inter canta: “Ôhhhhhh, Paixão tem razão”
Taison: “Eu vou chegar em casa e vou me trancar no meu quarto”.
Key Insights & Takeaways
He frequently shares personal and emotional reactions to sports events, which resonates with his audience. He highlights significant moments in football history, which adds depth and nostalgia to his content. He uses humor and colloquial language, making his tweets more relatable and engaging.
Strengths
- + Established follower base of 52,993
- + 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 @rafaelcolling reveals an growing Twitter presence with 52,993 followers. The account demonstrates a content-creator strategy, averaging 31.0 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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