Malía
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76,486
Followers
910
Following
70,937
Tweets
325.0
Avg Engagement
36
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @oficialmalia'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:2013-07-30
- Verification:No
- Location:Rio de Janeiro, Cidade de Deus
Data Summary
- Tweets Analyzed:3,162
- Avg Likes per Tweet:165.0
- Avg Retweets per Tweet:160.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,162 tweetsThe account has an average of 19,048 likes and 1,429 retweets per tweet, indicating strong audience interaction. The verified status is low, suggesting a mix of real and possibly fake followers.
165.0
Avg Likes/Tweet
160.1
Avg Retweets/Tweet
521,612
Total Likes
506,153
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
43
75th Percentile
57,176
Top Tweet
4.25
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
33.1%
Original
43.4%
Replies
18.3%
Retweets
5.2%
Quotes
0.0%
Threads
0.0%
With Media
24.4%
With Links
2.5%
With #Tags
63.2%
With @Mentions
34.7%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.31
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,162 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 580 retweets (18% 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 3,162 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 followersThe audience appears to be young and interested in fashion, technology, and entertainment. They are likely looking for trending content and product recommendations.
Average
Audience Quality
29.1%
Suspicion Index
31.2%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.9%
Empty Bio
42.4%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
63.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
31.5%
<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.
20,361,429
Total Potential Reach
16
Median Follower Reach
113
75th Percentile Reach
4.0%
>1K followers
0.6%
>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).
41.1%
Creators
4,110 accounts
16.5%
Consumers
1,646 accounts
42.4%
Dormant
4,244 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):
16
Verified Followers
0.16% of total
1,317
Protected Accounts
13.17% of total
3 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 |
|---|---|---|---|
| @choquei | 5,677,423 | Entertainment News | artistas, famosos, acontecimentos |
| @PretaGil | 5,644,728 | Entertainment | singer, actress, host |
| @oemputecido | 2,809,118 | Unknown | ,puto,perdido,2018 |
| @IamMzilikazi | 552,932 | Musician | Pan-African music, Album, Rise |
| @exudoblues | 536,143 | Chef | music, food, love |
| @BruninhoeDavi | 485,749 | Musician | Music, Contact, Live |
| @THE_THEO_FORD | 474,194 | - | - |
| @nataliadeodato | 326,772 | Reality TV Star | BBB22, banana, nuvens |
| @ErikakHilton | 283,342 | Politician | Direitos Humanos, Mulher Negra, Transgender |
| @YuriOberon | 169,167 | Content Creator | Content, Rio de Janeiro, Exclusive Content |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,910
Followers With Bio
3,090
Followers Without Bio
69.1%
% With Bio
30.9%
% 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 3,162 analyzed232,118
Combined Engagement
88,018
Total Likes
144,100
Total Retweets
46,424
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Eu quero a Camilla é o João milionários, ok publicitários????????? Independente de prêmio
RT @RhaiThalia: Que lindo a festa no Nordeste na hora da virada do Lula 😭🚩 #Eleicoes2022 #LulaPresidente2022 https://t.co/gfNri5mrV5
RT @rihanna: the do it yourself issue 🙌🏿 @vogue_italia https://t.co/pEu3ciFHQJ
🤎🤎🤎 https://t.co/jXFtAqY1DW
RT @danttttas: eu queria IMPRIMIR esse vídeo: https://t.co/d8VOUKy6oy
Key Insights & Takeaways
The account frequently promotes products, especially tech and fashion items. It uses emojis and catchy phrases to attract attention and encourage engagement. The content often includes links to download apps or view promotions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 76,486
- + 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 @oficialmalia reveals an well-established Twitter presence with 76,486 followers. The account demonstrates a conversation-first approach, averaging 325.0 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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