Kihou
156,421
Followers
672
Following
7,087
Tweets
1,027.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KihouMiu'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:2012-05-28
- Verification:No
- Location:Paris, Ile-de-France
Data Summary
- Tweets Analyzed:3,177
- Avg Likes per Tweet:57.3
- Avg Retweets per Tweet:970.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,177 tweetsKihouMiu's tweets are highly engaging, with a consistent average of likes and retweets. Their content resonates well with followers, indicating a strong connection with their audience.
57.3
Avg Likes/Tweet
970.5
Avg Retweets/Tweet
182,152
Total Likes
3,083,149
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
66
75th Percentile
292,733
Top Tweet
6.57
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
34.8%
Original
34.4%
Replies
26.0%
Retweets
4.8%
Quotes
0.0%
Threads
1.5%
With Media
44.4%
With Links
16.5%
With #Tags
70.3%
With @Mentions
19.8%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,177 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 827 retweets (26% 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 3,177 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 followersTheir audience appears to be interested in relatable and candid content, possibly including individuals looking for lifestyle tips or personal stories. They may also attract those interested in humor and advice.
Average
Audience Quality
33.0%
Suspicion Index
45.6%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.9%
Empty Bio
53.0%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
65.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
36.2%
<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.
29,756,959
Total Potential Reach
6
Median Follower Reach
26
75th Percentile Reach
1.1%
>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).
24.5%
Creators
12,262 accounts
22.5%
Consumers
11,244 accounts
53.0%
Dormant
26,494 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):
33
Verified Followers
0.03% of total
8,933
Protected Accounts
8.84% 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 |
|---|---|---|---|
| @LoganPaul | 6,810,062 | Influencer | Vlogging, Comedy, Fitness |
| @benlandis | 2,846,991 | - | - |
| @SiriouslySusan | 1,773,945 | Voice Actor | Voice acting, singing, speaking |
| @nikosaliagas | 1,683,437 | TV Host | TV, Radio, Photography |
| @shwood | 1,508,911 | Magician | Magic, Comedy, Conventions |
| @KalaniBallFree | 1,243,648 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @TheCooksCook | 1,137,517 | Culinary Entrepreneur | cooking, community, multimedia |
| @LeBronJames | 1,009,501 | - | - |
| @BartBaker | 956,765 | Content Creator | Crypto, China, Music |
| @MichellePhan | 819,160 | Influencer | Beauty, Fashion, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,432
Followers With Bio
58,567
Followers Without Bio
42.01%
% With Bio
57.99%
% 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 3,177 analyzed687,458
Combined Engagement
0
Total Likes
687,458
Total Retweets
137,492
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MarvelStudios: Part of the journey is the end. https://t.co/vejn1Bx8Nz
RT @djstarbaby: need that mf to walk a lil bit faster
RT @cybrxangel: wait a minute.... https://t.co/1hM4dJhO9j
RT @ebrahimj_: they refuse to die because they're scared to face Princess Diana
RT @rykalhakimi: Cute version "Despacito" 😍😍😍😍 https://t.co/RYTIVZoTnl
Key Insights & Takeaways
Their tweets often provide practical life advice, such as not renting to people they know. They share personal messages and gratitude, which fosters a sense of community. They use humor and relatable situations to connect with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 156,421
- + 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 @KihouMiu reveals an exceptionally influential Twitter presence with 156,421 followers. The account demonstrates a content-creator strategy, averaging 1,027.8 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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