Mia Wicthoff
A emo desde a MTV, lembra?
83,332
Followers
2,050
Following
83,026
Tweets
84.7
Avg Engagement
892
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @miawoficial'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:2009-07-21
- Verification:No
- Location:Brasil
Data Summary
- Tweets Analyzed:3,204
- Avg Likes per Tweet:9.7
- Avg Retweets per Tweet:75.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,204 tweetsThe account has moderate to high engagement, with an average of 1,348 likes and 145 retweets per tweet. The content often sparks discussion and emotional reactions.
9.7
Avg Likes/Tweet
75.0
Avg Retweets/Tweet
31,161
Total Likes
240,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
8
75th Percentile
86,905
Top Tweet
1.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.8%
Original
19.3%
Replies
0.6%
Retweets
7.4%
Quotes
0.0%
Threads
0.0%
With Media
24.3%
With Links
11.5%
With #Tags
21.2%
With @Mentions
24.9%
With Emojis
60
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
13.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.0%
Weekday Posts
22.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,204 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 18 retweets (1% 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 3,204 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 young adults and teenagers interested in Brazilian pop culture, reality TV, and emotional storytelling. They engage with content that reflects personal and public opinions.
Average
Audience Quality
21.7%
Suspicion Index
28.6%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.6%
Empty Bio
26.6%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
47.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
11.6%
<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.
58,122,312
Total Potential Reach
23
Median Follower Reach
125
75th Percentile Reach
2.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
42.6%
Creators
21,292 accounts
30.8%
Consumers
15,391 accounts
26.6%
Dormant
13,317 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):
31
Verified Followers
0.04% of total
5,856
Protected Accounts
7.01% of total
12 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 |
|---|---|---|---|
| @Tatawerneck | 11,293,494 | Comedian | Comedy, Actress, TV host |
| @MarceloTas | 9,073,745 | Influencer | - |
| @oserginho | 6,156,919 | TV Host | TV, Jornalismo, Apresentador |
| @PaulaFernandes7 | 4,481,285 | Singer | Music, EP, 11:11 |
| @6BillionPeople | 2,008,511 | - | - |
| @MariMoon | 1,435,381 | Influencer | Art, Music, Travel |
| @pelanza | 1,418,261 | Singer | Music, Stories, Connection |
| @JDaIey | 1,248,724 | - | - |
| @luanlovato | 1,073,512 | Influencer | Twitter, Nascido no Twitter, Contato |
| @JNeFoficial | 1,008,696 | Musicians | Music, Shows, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,013
Followers With Bio
35,551
Followers Without Bio
57.46%
% With Bio
42.54%
% 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 3,204 analyzed212,988
Combined Engagement
0
Total Likes
212,988
Total Retweets
42,598
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @4oceanBracelets: A day in the life with 4ocean Bali. #4ocean https://t.co/3meyqSyRHM
RT @uaijean: esse eh o melhor vídeo que vcs vão ver hj https://t.co/E1FkLwNrpA
RT @otarriio: Eu: será que é estranho falar sozinho? Eu: não Eu: tem razão https://t.co/9jpkjYQCib
RT @tombrisa: um urso tomando chá passando na sua tml, esse é o Tweet https://t.co/5qFDgjsJgX
RT @NASA: LIVE NOW: #LaunchAmerica, Take 2. 🎬 Watch as @NASA_Astronauts fly to the @Space_Station from U.S. soil for the first time in nine years: https://t.co/dthNEgGAd4 https://t.co/dthNEgGAd4
Key Insights & Takeaways
The user frequently references and comments on Brazilian celebrities and reality TV shows, indicating a strong interest in entertainment news. They express personal preferences and emotional reactions, which may drive engagement through relatability. Their content often highlights admiration for certain individuals, suggesting a focus on personal connection and fandom.
Strengths
- + Established follower base of 83,332
- + 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 @miawoficial reveals an growing Twitter presence with 83,332 followers. The account demonstrates a content-creator strategy, averaging 84.7 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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