Gabriel Moura
Ator ⠀⠀ ⠀⠀⠀ ⠀ ⠀ ⠀⠀⠀ ⠀⠀ ⠀⠀⠀ ⠀⠀ ⠀ ⠀⠀⠀ Instagram: gmoura
90,195
Followers
351
Following
5,940
Tweets
164.5
Avg Engagement
15
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gmouraoficial'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:2015-07-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:7.0
- Avg Retweets per Tweet:157.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsHis tweets receive consistent likes and retweets, indicating a loyal and active audience that engages with his content regularly.
7.0
Avg Likes/Tweet
157.6
Avg Retweets/Tweet
22,559
Total Likes
510,477
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
91,206
Top Tweet
1.82
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
27.5%
Original
66.0%
Replies
3.0%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
5.5%
With Links
10.5%
With #Tags
77.1%
With @Mentions
10.2%
With Emojis
64
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.4
Reply/Original Ratio
1.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.1%
Weekday Posts
18.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 98 retweets (3% 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 3,240 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 includes fans of his acting career, fellow celebrities, and followers interested in entertainment news and personal updates.
Average
Audience Quality
31.6%
Suspicion Index
33.6%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.5%
Empty Bio
51.2%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
71.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
34.7%
<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.
15,657,814
Total Potential Reach
7
Median Follower Reach
36
75th Percentile Reach
2.0%
>1K followers
0.3%
>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).
25.8%
Creators
2,582 accounts
23.0%
Consumers
2,299 accounts
51.2%
Dormant
5,119 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):
11
Verified Followers
0.11% of total
1,062
Protected Accounts
10.62% 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 |
|---|---|---|---|
| @WesleySafadao | 4,921,213 | Singer | Music, Entertainment, TBT |
| @monark | 1,484,778 | Podcaster | Podcast, princípio, vivendo |
| @viihtube | 1,471,185 | YouTuber | BBB21, Youtuber, Atriz |
| @MauMeirelles | 1,330,711 | Comedian | ironia, deboche, sarcasmo |
| @WhoIsCarlos | 715,489 | Musician | Music, Rock, Guitar |
| @TiagoAbravanel | 685,839 | Entertainer | shows, music, entertainment |
| @iguinho3k | 676,646 | Podcaster | Pai, marido, podcast |
| @dennisdj | 611,934 | Music Producer | Music, Production, Composition |
| @PROIBIDAODORIO2 | 600,299 | Content Creator | Music, Rio de Janeiro, YouTube |
| @Moreno | 430,858 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,752
Followers With Bio
3,248
Followers Without Bio
67.52%
% With Bio
32.48%
% 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 3,240 analyzed264,832
Combined Engagement
0
Total Likes
264,832
Total Retweets
52,966
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @neymarjr: VAR pegar a minha “agressão” é mole ... agora eu quero ver pegar a imagem do racista me chamando de “MONO HIJO DE PUTA” (macaco filha da puta)... isso eu quero ver! E aí? CARRETILHA vc me pune.. CASCUDO sou expulso... e eles? E aí ?
RT @rafaportugalc: Alô. Quer falar com a Ivy? Ela tá aqui sim, mas tem que ser rápido porque acho que ela tá saindo... Tô brincaaaaando https://t.co/TFMHKBcbf5
RT @lunazocolotto: me recuso a envelhecer um ano que não vivi
RT @PriAlcantara: eu devia ter reclamado menos de 2019
RT @felipeneto: Intervenção Psiquiátrica JÁ!
Key Insights & Takeaways
His tweets often highlight admiration for other celebrities and personal reflections on his career and life. He frequently interacts with fans and fellow actors, fostering a sense of community and connection. His content is a mix of personal updates, career milestones, and emotional expressions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,195
- + High community engagement through conversations
- + 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 @gmouraoficial reveals an well-established Twitter presence with 90,195 followers. The account demonstrates a conversation-first approach, averaging 164.5 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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