Gabi Lopes
Não quero me definir. É melhor você me conhecer.
205,285
Followers
449
Following
35,963
Tweets
280.7
Avg Engagement
1,095
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gabrielalopesg'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:2009-07-14
- Verification:No
- Location:São Paulo
Data Summary
- Tweets Analyzed:3,129
- Avg Likes per Tweet:75.6
- Avg Retweets per Tweet:205.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,129 tweetsHis tweets receive a moderate level of engagement, with an average of 9,127 likes and 883 retweets per tweet.
75.6
Avg Likes/Tweet
205.1
Avg Retweets/Tweet
236,487
Total Likes
641,725
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
2
Median Retweets
35
75th Percentile
237,313
Top Tweet
1.37
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
65.4%
Original
18.1%
Replies
15.2%
Retweets
1.3%
Quotes
0.0%
Threads
0.6%
With Media
53.3%
With Links
23.3%
With #Tags
54.4%
With @Mentions
43.1%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,129 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 475 retweets (15% 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 3,129 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 audience appears to be interested in social justice, personal storytelling, and public figures' actions.
Average
Audience Quality
26.1%
Suspicion Index
31.3%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.6%
Empty Bio
36.7%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
56.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
24.9%
<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.
136,713,914
Total Potential Reach
18
Median Follower Reach
111
75th Percentile Reach
3.5%
>1K followers
0.4%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.2%
Creators
21,578 accounts
20.1%
Consumers
10,049 accounts
36.7%
Dormant
18,373 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):
77
Verified Followers
0.08% of total
12,259
Protected Accounts
12.14% of total
7 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 |
|---|---|---|---|
| @Anitta | 19,258,648 | Singer | Music, Entertainment, Fashion |
| @maisa | 13,039,457 | Atriz | atriz, apresentadora, cantora |
| @luansantana | 11,775,939 | Singer | Music, Singer, Songwriter |
| @SabrinaSato | 11,224,776 | TV Host | sorriso, vida, alegria |
| @cocielo | 8,056,958 | Influencer | Comedy, Gaming, Influencer |
| @LucasRanngel | 7,878,952 | Influencer | comedy, music, lifestyle |
| @FeCastanhari | 7,519,293 | - | - |
| @Fiuk | 5,415,726 | Musician | Music, Rock, Space |
| @luisasonza | 5,118,906 | Singer | music, singing, songwriting |
| @alvxaro | 4,915,005 | Meme Slayer | memes, humor, matadora |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,100
Followers With Bio
40,898
Followers Without Bio
59.51%
% With Bio
40.49%
% 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 3,129 analyzed410,440
Combined Engagement
20,530
Total Likes
389,910
Total Retweets
82,088
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @Casimiro: Assim que acordei vi a montagem tosca feita com o intuito de enganar o eleitor a uma semana do 2° turno. Repudio a utilização…
RT @mleandrocr: foi mal galera tropecei nos fio aqui kkkkk
RT @PauloVieiraReal: O MUNDO LÁ FORA https://t.co/hJNxYznNAs
RT @BruMarquezine: Quem diria, não é mesmo? 🙄🙄🙄
Ps: Roberto Justus me bloqueou depois do meu posicionamento. Diretamente do Yatch em Angra dos Reis super preocupado com os pobres que vão passar fome. E gravando vídeo pra fingir que se importa com eles.. Nem respeitar a quarentena o cara respeita e vai viajar.
Key Insights & Takeaways
He frequently shares personal and emotional content that resonates with his audience. He engages with current events and public figures, often expressing concern and criticism. His use of personal anecdotes helps to connect with followers on a more intimate level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 205,285
- + 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 @gabrielalopesg reveals an well-established Twitter presence with 205,285 followers. The account demonstrates a content-creator strategy, averaging 280.7 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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