Gabily
Publicidade: [email protected]
54,806
Followers
630
Following
11,463
Tweets
284.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Gabily'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:2015-02-10
- Verification:No
- Location:Rio de Janeiro, Brasil
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:252.5
- Avg Retweets per Tweet:32.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,244 tweetsGabily's tweets receive high engagement, averaging 20,590 likes and 4,638 retweets. This suggests a strong connection with their audience and emotionally charged content.
252.5
Avg Likes/Tweet
32.2
Avg Retweets/Tweet
819,179
Total Likes
104,341
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
46
Median Likes
2
Median Retweets
195
75th Percentile
162,948
Top Tweet
5.19
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
60.4%
Original
30.2%
Replies
5.1%
Retweets
4.3%
Quotes
0.0%
Threads
0.0%
With Media
37.3%
With Links
13.1%
With #Tags
42.4%
With @Mentions
38.7%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.5
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.0%
Weekday Posts
19.0%
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 165 retweets (5% 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 10,000 followersGabily's audience appears to be primarily Brazilian, with a focus on social justice and emotional engagement. They likely resonate with younger demographics who value authenticity and activism.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
15
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)
92.9%
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.
14,866,741
Total Potential Reach
15
Median Follower Reach
83
75th Percentile Reach
3.2%
>1K followers
0.5%
>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
1,457
Protected Accounts
14.57% of total
2 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 |
|---|---|---|---|
| @FilipeRet | 5,328,768 | Musician | Rico, bonito, cheiroso |
| @RodrygoGoes | 3,246,464 | Footballer | Futebol, Real Madrid, Brasil |
| @PROIBIDAODORIO2 | 642,526 | Content Creator | Music, Rio de Janeiro, YouTube |
| @IamMzilikazi | 555,621 | Musician | Pan-African music, Album, Rise |
| @Splash_UOL | 502,572 | Entertainment | Music, Celebs, Movies |
| @THE_THEO_FORD | 475,781 | - | - |
| @euingridohara | 432,571 | Presenter | MTV, VIXE, APRESENTADORA |
| @babadofamososrj | 342,527 | Entertainment News | Notícia, Entretenimento, Humor |
| @pegadicabrasil | 199,176 | - | - |
| @luzdcmundo | 153,489 | Inspirational Speaker | Faith, Strength, Courage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,415
Followers With Bio
4,585
Followers Without Bio
54.15%
% With Bio
45.85%
% 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 3,244 analyzed228,161
Combined Engagement
169,516
Total Likes
58,645
Total Retweets
45,632
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Paulo Gustavo fez o Brasil todo sorrir e hoje faz o Brasil todo chorar... Descanse em paz!! 😭
Sua mãe não tá por perto mas não deixaremos isso passar, justiça! ELA É SÓ UMA CRIANÇA! TOYA MERECE RESPEITO https://t.co/czolhwgith
RT @Ludmilla: Muito foda ver nossa música ganhando o mundão. Viva o funk, porra! 🚀 @Anitta @SnoopDogg https://t.co/o0t8KSgzAg
Juliette merece tanto esse bbb que VT lindo!!
Aniversário da nossa princesa @Anitta te amamos amiga curta mujto seu dia! Saudades! @Pocah @mcrebecca https://t.co/VebhTaQS2a
Key Insights & Takeaways
Gabily's content often centers around public figures and social justice issues, indicating a focus on advocacy and emotional storytelling. Their use of hashtags and calls to action suggests an intent to mobilize support and awareness. High engagement levels point to a loyal and emotionally invested audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,806
- + 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 @Gabily reveals an well-established Twitter presence with 54,806 followers. The account demonstrates a content-creator strategy, averaging 284.7 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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