886,536
Followers
236
Following
8,029
Tweets
896.5
Avg Engagement
77
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @crusherfooxi'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:2019-06-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:882.5
- Avg Retweets per Tweet:14.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account has a high average number of likes per tweet, indicating strong audience interaction. Retweets are also relatively frequent, showing that the content is being shared and appreciated by followers.
882.5
Avg Likes/Tweet
14.0
Avg Retweets/Tweet
2,867,201
Total Likes
45,527
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
516
Median Likes
2
Median Retweets
1,117
75th Percentile
24,669
Top Tweet
1.01
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
64.6%
Original
33.0%
Replies
0.4%
Retweets
2.0%
Quotes
0.0%
Threads
0.0%
With Media
16.8%
With Links
0.6%
With #Tags
32.2%
With @Mentions
17.5%
With Emojis
49
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
5.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.8%
Weekday Posts
20.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 13 retweets (0% 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 3,249 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 likely includes fans of the content creator, industry professionals, and individuals interested in behind-the-scenes production processes. The user's engagement suggests a dedicated and active community.
Below Average
Audience Quality
39.6%
Suspicion Index
51.8%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
67.3%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
85.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
51.7%
<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.
6,948,822
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
14.5%
Creators
7,227 accounts
18.2%
Consumers
9,121 accounts
67.3%
Dormant
33,652 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):
37
Verified Followers
0.04% of total
11,621
Protected Accounts
11.51% of total
1 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 |
|---|---|---|---|
| @JohnCena | 14,105,370 | Wrestler | Wrestling, Motivation, Self-promotion |
| @eisincera | 1,354,958 | Influencer | humilde, sincera, contato |
| @futurizando_ | 977,259 | - | - |
| @oubrisado | 688,919 | Influencer | CBLOL, eSports, Gaming |
| @Jonvlogs | 497,455 | YouTuber | Youtube, Instagram, Vlogs |
| @rodrigofee2 | 447,349 | Influencer | Cats, Sports, Music |
| @Snaihtniroccccc | 255,483 | Fan account | Mateus Love, Cortinas, Parceria |
| @JogaSamuca | 239,287 | Narrator | Narrador, Felicidade, Procura |
| @Loud_GaleguiN10 | 200,463 | - | - |
| @Weedzao | 183,605 | Gamer | Free Fire, eSports, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,378
Followers With Bio
46,621
Followers Without Bio
53.84%
% With Bio
46.16%
% 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 3,249 analyzed84,543
Combined Engagement
81,997
Total Likes
2,546
Total Retweets
16,909
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Mais um dia de gravação ❤️🥹 https://t.co/lw4bMBPSqf
Oi https://t.co/BTMVC7iEbV
https://t.co/dfl6xIT9rh
tomem cuidado com a nova onde de sequestro que ta tendo por ai, eles te sequestram e te obrigam a fazer pix, aconteceu comigo ontem . perdi mais de 100k, mas o importante é a vida graças a Deus . Vou fazer os bo e tudo mais . preciso de um tempo pro meu psicológico
https://t.co/IQIQzli3tF
Key Insights & Takeaways
The user frequently shares content related to filming or production, suggesting a focus on behind-the-scenes work. The account has a mix of personal and promotional tweets, indicating a balance between personal expression and content promotion. The user's high engagement suggests a loyal and active audience interested in the content being shared.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 886,536
- + 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 @crusherfooxi reveals an well-established Twitter presence with 886,536 followers. The account demonstrates a content-creator strategy, averaging 896.5 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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