Castro1021
President of @LosAliensFC [email protected]
1,491,794
Followers
2,174
Following
49,083
Tweets
3,159.6
Avg Engagement
796
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Castro1021'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: Mega Influencer (1M+)
- Account Age:2011-08-24
- Verification:No
- Location:Somewhere in Texas
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:3,025.8
- Avg Retweets per Tweet:133.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsThe account has high engagement rates, with an average of 168,956 likes and 12,479 retweets per tweet, indicating a highly interactive audience.
3,025.8
Avg Likes/Tweet
133.7
Avg Retweets/Tweet
9,824,902
Total Likes
434,228
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
369
Median Likes
1
Median Retweets
2,469
75th Percentile
351,116
Top Tweet
2.12
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
39.3%
Original
59.3%
Replies
0.8%
Retweets
0.5%
Quotes
0.0%
Threads
0.1%
With Media
34.5%
With Links
2.4%
With #Tags
61.6%
With @Mentions
34.8%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.51
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 26 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 3,247 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 appears to be interested in sports, entertainment, and personal stories, with a mix of casual and engaged followers.
Average
Audience Quality
24.0%
Suspicion Index
33.8%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.9%
Empty Bio
28.4%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
52.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
18.6%
<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.
26,106,847
Total Potential Reach
14
Median Follower Reach
87
75th Percentile Reach
3.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
47.7%
Creators
23,857 accounts
23.9%
Consumers
11,945 accounts
28.4%
Dormant
14,198 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):
249
Verified Followers
0.25% of total
7,426
Protected Accounts
7.43% of total
4 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 |
|---|---|---|---|
| @goal | 8,163,081 | Football Analyst | football, news, insight |
| @FaZeRug | 2,654,189 | YouTuber | YouTube, Videos, Love |
| @SInow | 1,858,956 | Sports Media | Sports, TikTok, Instagram |
| @ishowspeedsui | 1,766,813 | YouTuber | Gaming, YouTube, Twitch |
| @TeamJuJu | 1,180,065 | Football Player | Football, Business, Entertainment |
| @NOH8Campaign | 801,943 | Activism | equality, bullying, discrimination |
| @MayraFlores2022 | 501,925 | - | - |
| @SlimJim | 490,892 | Snack Influencer | meat, long boi, champions |
| @KOT4Q | 456,881 | YouTuber | Basketball, Entertainment, Business |
| @eurofootcom | 431,969 | Sports Media | Football, Europe, Home |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,054
Followers With Bio
48,946
Followers Without Bio
51.05%
% With Bio
48.95%
% 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 3,247 analyzed1,249,714
Combined Engagement
1,186,204
Total Likes
63,510
Total Retweets
249,943
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
My mom beat cancer. 🙏💜 https://t.co/cOktzPQtW5
#NewProfilePic https://t.co/tHWYDNFNoG
BALOTELLI WTF MAN 😳 https://t.co/8g1qX0oETx
If Mexico beat Argentina, I will send $1.00 to everyone who likes this tweet. https://t.co/JXk2wMiWBt
If Portugal win today, I’ll give 4 people who LIKE this tweet $500 Must be following so I can DM. VAMOOOOOOO 🇵🇹 https://t.co/PCfyJRd89E
Key Insights & Takeaways
The user frequently shares personal milestones, such as overcoming health challenges, which resonates with followers. The account uses humor and relatable content to engage its audience, including sports-related memes and reactions. The user maintains a consistent online presence with regular updates and a focus on community interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,491,794
- + 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 @Castro1021 reveals an exceptionally influential Twitter presence with 1,491,794 followers. The account demonstrates a conversation-first approach, averaging 3,159.6 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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