Pamela Rosa 🌹
🇧🇷 Skateboard Pro, 2x SLS Super Crown World Champions 🏆 6 Medals X Games, 3x Dew Tour Champion - 📲 @fair_play • pamelarosainfo@gmail.com
36,077
Followers
89
Following
918
Tweets
841.7
Avg Engagement
33
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Pamelarosaskt'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:2021-10-08
- Verification:No
- Location:São José dos Campos, Brasil
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:762.4
- Avg Retweets per Tweet:79.3
- Followers Analyzed:36,878
Engagement Analysis
Based on 597 tweetsHer tweets receive high engagement, with an average of 10,416 likes and 342 retweets per post, indicating strong community interaction.
762.4
Avg Likes/Tweet
79.3
Avg Retweets/Tweet
455,123
Total Likes
47,351
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
339
Median Likes
16
Median Retweets
832
75th Percentile
14,814
Top Tweet
23.33
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
74.2%
Original
2.2%
Replies
17.3%
Retweets
6.4%
Quotes
0.0%
Threads
0.2%
With Media
28.6%
With Links
6.7%
With #Tags
28.3%
With @Mentions
68.5%
With Emojis
64
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.8%
Weekday Posts
33.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 103 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 597 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 36,878 followersHer audience includes skateboarding enthusiasts, fans of Brazilian athletes, and individuals interested in sports and culture.
Good
Audience Quality
18.7%
Suspicion Index
21.4%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.1%
Empty Bio
14.0%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
44.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.2%
No URL
8.7%
<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.
34,721,760
Total Potential Reach
67
Median Follower Reach
236
75th Percentile Reach
6.3%
>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).
71.2%
Creators
26,270 accounts
14.7%
Consumers
5,428 accounts
14.0%
Dormant
5,180 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):
165
Verified Followers
0.45% of total
5,121
Protected Accounts
13.89% of total
6 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 |
|---|---|---|---|
| @SaoPauloFC | 4,858,746 | Football Club | Football, Soccer, Brazil |
| @sportv | 4,072,490 | Sports Broadcaster | Football, Fitness, Basketball |
| @HBOMaxBR | 1,155,702 | Sports Streaming | Futebol, Esportes, Streaming |
| @CEROLZERA | 818,848 | Streamer | Gaming, Streaming, Brazil |
| @DoentesPFutebol | 800,300 | Sports Blogger | Futebol, Informação, Opinião |
| @nobru | 786,553 | Gamer | Gaming, Esports, Community |
| @timebrasil | 590,417 | Sports Organization | Olympics, Brazil, Team |
| @IamMzilikazi | 540,100 | Musician | Pan-African music, Album, Rise |
| @rayssaleal | 498,765 | Skateboarder | skateboarding, SLS Championship, Olympics |
| @rodrigofee2 | 447,465 | Influencer | Cats, Sports, Music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,301
Followers With Bio
12,577
Followers Without Bio
65.9%
% With Bio
34.1%
% 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 597 analyzed68,125
Combined Engagement
66,565
Total Likes
1,560
Total Retweets
13,625
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Estou voltando pra casa, com mais um troféu! Obrigada Seattle 🥈🫶🏼
Brasileiros, nunca torçam contra outros Brasileiros, nem contra outros skatistas, SKATE NÃO É ISSO! Viva a essências Skate, não destruam isso! 👊🏽
🥈❤️ https://t.co/bSEEaKXIxi
Chegamos em casa 🥰 https://t.co/tCTDUymRP5
#PACAMPEAO ✨🤍 https://t.co/pkpRAgjHYx
Key Insights & Takeaways
She emphasizes the importance of unity and support within the skateboarding community She highlights her personal achievements and gratitude towards her supporters She uses a mix of personal updates and motivational messages to connect with her audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 36,077
- + 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 @Pamelarosaskt reveals an well-established Twitter presence with 36,077 followers. The account demonstrates a content-creator strategy, averaging 841.7 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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