mikannn!!
Jornalista e a doida da cultura pop ♡ Canal mikannn no YouTube ♡ COMERCIAL: [email protected]
226,965
Followers
5,725
Following
87,815
Tweets
1,793.5
Avg Engagement
365
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mikannn'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:2008-03-31
- Verification:No
- Location:São Paulo, Brazil
Data Summary
- Tweets Analyzed:3,186
- Avg Likes per Tweet:163.3
- Avg Retweets per Tweet:1,630.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,186 tweetsHer tweets typically receive high engagement, with an average of 10k likes and 900 retweets. This indicates a strong connection with her followers.
163.3
Avg Likes/Tweet
1,630.2
Avg Retweets/Tweet
520,401
Total Likes
5,193,680
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
521
75th Percentile
114,754
Top Tweet
7.9
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
10.4%
Original
39.8%
Replies
39.5%
Retweets
10.4%
Quotes
0.0%
Threads
0.2%
With Media
35.7%
With Links
3.1%
With #Tags
70.9%
With @Mentions
11.8%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.84
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.4%
Weekday Posts
15.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,186 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 1,257 retweets (39% 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 3,186 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 followersHer audience is primarily interested in pop culture, entertainment news, and social media trends. The engagement suggests a loyal and active fan base.
Good
Audience Quality
18.7%
Suspicion Index
22.2%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.5%
Empty Bio
17.6%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
45.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.5%
No URL
11.8%
<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.
39,667,905
Total Potential Reach
42
Median Follower Reach
167
75th Percentile Reach
5.4%
>1K followers
0.8%
>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).
67.1%
Creators
33,564 accounts
15.3%
Consumers
7,658 accounts
17.6%
Dormant
8,778 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):
135
Verified Followers
0.13% of total
16,987
Protected Accounts
16.82% of total
6 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 |
|---|---|---|---|
| @CAPRICHO | 2,639,635 | Magazine | Astrology, Mystical, Culture |
| @gshow | 2,563,463 | Entertainment | Farofa, Sol, Fogo |
| @cleytu | 2,338,001 | Blogger | cotidiano, bastidores, curiosidades |
| @GuilhermeBoulos | 2,229,795 | Activist | Social Justice, Housing Rights, Activism |
| @MarceloFreixo | 1,976,244 | Politician | Family, Education, Politics |
| @omelete | 1,777,823 | Entertainment | Cinema, TV series, Comics |
| @HBOMaxBR | 1,175,001 | - | - |
| @joaoluizpedrosa | 1,129,038 | Apresentador | apresentador, professor, escritor |
| @Metropoles | 971,380 | News Outlet | politics, health, entertainment |
| @PrimeVideoBR | 906,513 | Entertainment | entretenimento, química, pegação |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,817
Followers With Bio
30,160
Followers Without Bio
70.13%
% With Bio
29.87%
% 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 3,186 analyzed392,950
Combined Engagement
0
Total Likes
392,950
Total Retweets
78,590
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Pokemon: He's done it! Ash has become a World Champion! 🏆🎉 https://t.co/a2jPb8pym3
RT @Batman: Thank you. 🦇❤️ https://t.co/hB4XUy8Gw1
RT @Ayupasha007: You're overthinking Again. Breathe it's okay you'll figure it out. AND Even If you don't that's okay too(◍•ᴗ•◍)❤ h…
RT @sberry_mango: Wednesday Addams🕷️💃🎶 https://t.co/J0GU4Xhmco
RT @BreakingBadIrny: https://t.co/R5k1wGzu4E
Key Insights & Takeaways
She frequently engages with current events and pop culture trends, which helps maintain her relevance. Her content often includes humor and personal opinions, which resonate well with her audience. She uses a mix of informative and entertaining tweets to keep her followers interested.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 226,965
- + 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 @mikannn reveals an exceptionally influential Twitter presence with 226,965 followers. The account demonstrates a conversation-first approach, averaging 1,793.5 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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