Girls In The House
Série GIRLS IN THE HOUSE, comédia criada por @RaonyPhillips. Nova temporada no Youtube!
120,186
Followers
935
Following
1,381
Tweets
391.8
Avg Engagement
40
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GirlsInTheHouse'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:2015-08-10
- Verification:No
- Location:Brazil
Data Summary
- Tweets Analyzed:1,258
- Avg Likes per Tweet:196.8
- Avg Retweets per Tweet:195.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,258 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The engagement is driven by news and episode updates related to the series.
196.8
Avg Likes/Tweet
195.0
Avg Retweets/Tweet
247,567
Total Likes
245,329
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
44
Median Retweets
341
75th Percentile
39,670
Top Tweet
3.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
29.3%
Original
17.0%
Replies
51.7%
Retweets
2.0%
Quotes
0.0%
Threads
0.0%
With Media
59.8%
With Links
39.5%
With #Tags
68.6%
With @Mentions
13.9%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,258 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 651 retweets (52% 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 1,258 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 is likely fans of the comedy series and viewers interested in entertainment news. They are engaged with content related to the show and its updates.
Good
Audience Quality
12.3%
Suspicion Index
15.3%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.6%
Empty Bio
12.7%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
27.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.8%
No URL
7.9%
<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.
41,728,850
Total Potential Reach
68
Median Follower Reach
242
75th Percentile Reach
6.4%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
74.4%
Creators
37,223 accounts
12.9%
Consumers
6,449 accounts
12.7%
Dormant
6,328 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):
42
Verified Followers
0.04% of total
21,792
Protected Accounts
21.58% 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 |
|---|---|---|---|
| @maisa | 13,042,036 | Atriz | atriz, apresentadora, cantora |
| @SabrinaSato | 11,224,440 | TV Host | sorriso, vida, alegria |
| @MTVBrasil | 2,551,904 | Entertainment | Music, Entertainment, TV Shows |
| @6BillionPeople | 2,032,986 | - | - |
| @KameronBennett | 1,823,219 | DJ | Music, DJing, Booking |
| @nilmoretto | 1,779,437 | Jornalista | Journalism, Content Creation, Nerd Culture |
| @LoiraNoob | 1,754,880 | YouTuber | Gaming, Photography, Live streaming |
| @anapaularenault | 1,645,475 | TV Personality | Reality TV, Entertainment, Influencer |
| @anaclaraac | 1,591,413 | - | - |
| @joaoluizpedrosa | 1,128,812 | Apresentador | apresentador, professor, escritor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,693
Followers With Bio
24,300
Followers Without Bio
75.94%
% With Bio
24.06%
% 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 1,258 analyzed97,731
Combined Engagement
38,867
Total Likes
58,864
Total Retweets
19,546
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Isso a Globo não mostra! Duny tira Marcos e Emily à força do Big Brother. https://t.co/9fCFD4Ij2W
RT @GITHBR: Isso a Globo não mostra! Duny tira Marcos e Emily à força do Big Brother. https://t.co/9fCFD4Ij2W
🚨 TEMOS UMA GRANDE NOVIDADE PARA ANUNCIAR 🚨 https://t.co/ELBEZPwXhO
RT @RaonyPhillips: Pronunciamento do Bolsonaro cancelado. O pronunciamento agora é esse aqui: https://t.co/bGcHabl3Jl
RT @RaonyPhillips: Lula ganhou, Girls In The House voltou #GirlsInTheHouse https://t.co/E8klsso0LQ
Key Insights & Takeaways
The account frequently shares news and updates about the series, which likely drives engagement. Promotion of YouTube content is a key strategy for maintaining audience interest. The use of emojis and urgent language in tweets helps to capture attention and encourage interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,186
- + 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 @GirlsInTheHouse reveals an well-established Twitter presence with 120,186 followers. The account demonstrates a content-creator strategy, averaging 391.8 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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