Fousheé
16,216
Followers
291
Following
4,453
Tweets
515.6
Avg Engagement
72
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FousheeLive'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:2010-12-05
- Verification:Yes
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:588
- Avg Likes per Tweet:135.8
- Avg Retweets per Tweet:379.8
- Followers Analyzed:16,075
Engagement Analysis
Based on 588 tweetsTheir tweets receive an average of 2,100 likes and 292 retweets, showing strong audience interaction. The consistent engagement indicates a dedicated fan base.
135.8
Avg Likes/Tweet
379.8
Avg Retweets/Tweet
79,859
Total Likes
223,316
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
6
Median Retweets
135
75th Percentile
57,005
Top Tweet
31.8
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
41.7%
Original
8.5%
Replies
42.9%
Retweets
7.0%
Quotes
0.0%
Threads
0.5%
With Media
44.0%
With Links
7.7%
With #Tags
52.7%
With @Mentions
16.3%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.2%
Weekday Posts
23.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 588 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 252 retweets (43% 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 588 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 16,075 followersTheir audience appears to be fans and followers who appreciate personal stories and entertainment. The engagement suggests a loyal and active community.
Good
Audience Quality
13.5%
Suspicion Index
12.9%
Low-Quality %
170
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
20.8%
Empty Bio
8.3%
<10 Tweets
14.3%
Mass Following (>2K)
0.0%
New (<90 days)
28.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.7%
No URL
5.0%
<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.
218,783,932
Total Potential Reach
170
Median Follower Reach
550
75th Percentile Reach
14.9%
>1K followers
2.6%
>10K followers
0.9%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
81.8%
Creators
13,156 accounts
9.9%
Consumers
1,586 accounts
8.3%
Dormant
1,333 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):
404
Verified Followers
2.51% of total
2,209
Protected Accounts
13.74% 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 |
|---|---|---|---|
| @jimmyfallon | 50,830,620 | Comedian | Comedy, TV, Music |
| 33,656,694 | Social Media | Love, Connection, Sharing | |
| @MTV | 17,691,807 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,105,757 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AppleMusic | 10,299,664 | Music streaming | Music, Social Justice, Diversity |
| @MissyElliott | 7,050,388 | Musician | GOD, AVANT GARDE, COOLOFF |
| @Sony | 5,796,621 | Electronics | technology, entertainment, innovation |
| @lilyachty | 5,425,670 | Rapper | Music, Fashion, Lifestyle |
| @NBCTheVoice | 4,956,801 | Singing | Music, Singing, Competition |
| @FallonTonight | 4,509,517 | Entertainment | Comedy, Entertainment, Late-night TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,726
Followers With Bio
3,349
Followers Without Bio
79.17%
% With Bio
20.83%
% 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 588 analyzed153,665
Combined Engagement
0
Total Likes
153,665
Total Retweets
30,733
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @CaptainPrime21: Soap when you drop it in the shower https://t.co/9VU5anvvbS
RT @tylerthecreator: SORRY NOT SORRY https://t.co/WxmR8bPJV1
RT @quenblackwell: next year I will get hotter, wiser, more intelligent and more successful….and again the next year…and the next year. eve…
RT @emilylhauser: If your internal organs are open to legislation you are, manifestly, not free.
RT @BarackObama: I always enjoy sharing my end of year music playlist with all of you — and this year we heard a lot of great songs. Here a…
Key Insights & Takeaways
They often share personal and emotional messages, which resonate with their audience. Their content includes references to events and tours, suggesting a focus on entertainment and personal milestones. They maintain a balance between humor and heartfelt expressions, which likely contributes to their engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 16,216
- + 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 @FousheeLive reveals an well-established Twitter presence with 16,216 followers. The account demonstrates a content-creator strategy, averaging 515.6 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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