felps
💖@ju_scravoni 🖤 Mira
251,252
Followers
903
Following
8,943
Tweets
751.3
Avg Engagement
401
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @felperaa'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:2015-09-02
- Verification:No
- Location:São Paulo, Brasil
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:659.2
- Avg Retweets per Tweet:92.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsThe account has high engagement rates, with an average of 14,274 likes and 321 retweets per tweet, indicating a loyal and active follower base.
659.2
Avg Likes/Tweet
92.0
Avg Retweets/Tweet
2,138,564
Total Likes
298,608
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
167
Median Likes
3
Median Retweets
732
75th Percentile
179,583
Top Tweet
2.99
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
43.7%
Original
36.4%
Replies
12.6%
Retweets
7.3%
Quotes
0.0%
Threads
0.0%
With Media
35.6%
With Links
4.8%
With #Tags
51.2%
With @Mentions
34.0%
With Emojis
62
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.83
Reply/Original Ratio
0.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 410 retweets (13% 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 3,244 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 followersThe audience primarily consists of gaming enthusiasts, especially those interested in Counter-Strike, and possibly Brazilian users given the local references.
Average
Audience Quality
27.9%
Suspicion Index
32.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.9%
Empty Bio
35.4%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
69.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
24.0%
<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.
32,251,939
Total Potential Reach
8
Median Follower Reach
46
75th Percentile Reach
1.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
42.0%
Creators
21,025 accounts
22.6%
Consumers
11,285 accounts
35.4%
Dormant
17,690 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):
124
Verified Followers
0.12% of total
9,964
Protected Accounts
9.87% 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 |
|---|---|---|---|
| @JohnCena | 14,101,186 | Wrestler | Wrestling, Motivation, Self-promotion |
| @antoniotabet | 3,179,724 | Entertainer | Comedy, Sports, News |
| @CEROLZERA | 819,571 | Streamer | Gaming, Streaming, Brazil |
| @nobru | 786,682 | Gamer | Gaming, Esports, Community |
| @Loud_Jordanxp | 701,537 | Gamer | Gaming, Influencer, Pro Player |
| @KevinandTrevor | 696,932 | - | - |
| @KimKataguiri | 683,668 | Politician | onigiri, coca, tripartição do Poder |
| @CSGO500 | 504,254 | - | - |
| @LuginBr | 459,912 | Gamer | Gaming, Content Creation, Esports |
| @bakzera | 432,771 | Gamer | Gaming, eSports, Brazil |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,168
Followers With Bio
42,828
Followers Without Bio
57.59%
% With Bio
42.41%
% 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 3,244 analyzed265,063
Combined Engagement
48,050
Total Likes
217,013
Total Retweets
53,013
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @PSG_inside: A new 💎 in Paris ! PSGxMESSI ❤️💙 https://t.co/2JpYSRtpCy
Meu pai teve um infarto , por favor rezem por ele
RT @SaoPauloFC: 🏆🤩🇾🇪 #1NovoTempo #VamosSãoPaulo 🇾🇪 https://t.co/UdkBo2DaIN
RT @iCorlyy: meu novo despertador https://t.co/ccW5eQuqlm
Como usa isso aqui @FalleNCS ? https://t.co/YLLhtaEhcU
Key Insights & Takeaways
The user frequently interacts with other gamers and content creators, showing a strong community presence. Personal updates and emotional posts, such as mentioning a family member's health issue, indicate a more personal side. The user has a notable connection with @FalleNCS, suggesting a collaborative or fan relationship.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 251,252
- + 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 @felperaa reveals an well-established Twitter presence with 251,252 followers. The account demonstrates a content-creator strategy, averaging 751.3 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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