Ian Lucas
Actor🇦🇷Tengo una familia de 22M en Youtube✌🏽❤️
569,605
Followers
66
Following
11,835
Tweets
790.6
Avg Engagement
184
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rubeooh'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:2010-04-18
- Verification:No
- Location:Instagram: @ianlucas
Data Summary
- Tweets Analyzed:3,170
- Avg Likes per Tweet:435.8
- Avg Retweets per Tweet:354.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,170 tweetsRubeooh's tweets receive a high number of likes and retweets, showing strong audience interaction. His content is well-received and widely shared.
435.8
Avg Likes/Tweet
354.9
Avg Retweets/Tweet
1,381,393
Total Likes
1,124,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
362
Median Likes
70
Median Retweets
854
75th Percentile
151,783
Top Tweet
1.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.7%
Original
5.7%
Replies
21.4%
Retweets
1.2%
Quotes
0.0%
Threads
0.1%
With Media
39.5%
With Links
8.5%
With #Tags
32.4%
With @Mentions
60.1%
With Emojis
81
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,170 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 679 retweets (21% 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 3,170 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 followersHis audience appears to be primarily young adults interested in entertainment, humor, and personal stories. They are engaged and responsive to his content.
Average
Audience Quality
33.2%
Suspicion Index
41.6%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
54.1%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
38.8%
<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.
41,758,132
Total Potential Reach
3
Median Follower Reach
28
75th Percentile Reach
1.5%
>1K followers
0.2%
>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).
25.3%
Creators
12,646 accounts
20.6%
Consumers
10,320 accounts
54.1%
Dormant
27,034 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):
30
Verified Followers
0.03% of total
6,795
Protected Accounts
6.73% of total
5 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 | 14,105,109 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheGrefg | 7,776,270 | Content Creator | Gaming, Content Creation, Esports |
| @domeelipa | 1,934,220 | YouTuber | YouTube, humor, contenido |
| @DeyanaraBrianda | 1,836,892 | Influencer | Fashion, Beauty, Lifestyle |
| @AngieVelasco08 | 1,608,065 | Not specified | No, Youtuber |
| @Bryan_SKabeche | 1,118,425 | Content Creator | Koalas, Tacos, Happiness |
| @Eddy_SKabeche | 935,323 | YouTuber | Comedy, Family, Entertainment |
| @rogerhamilton | 928,933 | Entrepreneur | education, entrepreneurship, futurism |
| @ZachBoychuk | 829,849 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @YoSoyAntrax | 810,123 | YouTuber | YouTube, Corazón, Felicidad |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,141
Followers With Bio
53,856
Followers Without Bio
46.68%
% With Bio
53.32%
% 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 3,170 analyzed339,309
Combined Engagement
0
Total Likes
339,309
Total Retweets
67,862
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ibieberauhlIs: JISTIN BIEBER SINGING BABY IN 2019 IS SUCH A BLESSING https://t.co/QWHiBWjCnS
RT @sanbenito: muchaaaaaachooooos
RT @sanbenito: cuando aprenderán que las redes sociales no son la vida real, que no lo son todo y que tampoco reflejan la realidad de una p…
RT @DiarioOle: Acá está. Abrazo. https://t.co/OMEjxsEl9I
RT @justinbieber: #CHANGESOUTNOW https://t.co/ovrdEhwGGn https://t.co/dpdr0Ix7kj
Key Insights & Takeaways
His content often includes humor and personal anecdotes, which resonate with his audience. He references popular culture and celebrities, which helps in connecting with his followers. He shares emotional and reflective messages, indicating a desire to connect on a deeper level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 569,605
- + 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 @Rubeooh reveals an well-established Twitter presence with 569,605 followers. The account demonstrates a content-creator strategy, averaging 790.6 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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