ROBERTO ARTIGAS
59,231
Followers
996
Following
10,428
Tweets
2,483.1
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @robertoartigass'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:2014-02-11
- Verification:No
- Location:Nowhere
Data Summary
- Tweets Analyzed:3,115
- Avg Likes per Tweet:55.3
- Avg Retweets per Tweet:2,427.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,115 tweetsThe account maintains a consistent level of engagement, with a notable number of likes and retweets. The use of hashtags and links suggests an effort to drive interaction and awareness.
55.3
Avg Likes/Tweet
2,427.7
Avg Retweets/Tweet
172,364
Total Likes
7,562,416
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
7
Median Retweets
128
75th Percentile
2,970,671
Top Tweet
41.92
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
61.3%
Original
1.9%
Replies
21.7%
Retweets
15.2%
Quotes
0.0%
Threads
0.0%
With Media
34.1%
With Links
4.4%
With #Tags
26.1%
With @Mentions
19.2%
With Emojis
57
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.7
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,115 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 675 retweets (22% 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 3,115 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 10,000 followersThe audience appears to be interested in both personal stories and social causes, particularly related to Peru. There is a focus on community and collective action.
Average
Audience Quality
31.0%
Suspicion Index
39.5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
48.1%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
35.4%
<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.
32,624,219
Total Potential Reach
4
Median Follower Reach
27
75th Percentile Reach
1.1%
>1K followers
0.4%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.7%
Creators
3,168 accounts
20.2%
Consumers
2,020 accounts
48.1%
Dormant
4,812 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):
17
Verified Followers
0.17% of total
868
Protected Accounts
8.68% 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 | 14,075,926 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DailyLoud | 2,048,098 | Music Blogger | Hip-Hop, Music, Updates |
| @screamau | 1,543,289 | Singer | singer, composer, NFTs |
| @jacobsartorius | 1,533,831 | Singer | music, singer, EP |
| @AmandaCerny | 1,285,371 | Comedian | Comedy, Life, Fitness |
| @jancarlobg | 1,250,325 | Musician | Music, Spotify, Magic |
| @JDaIey | 1,244,584 | - | - |
| @HeathHussar | 1,218,925 | YouTuber | comedy, travel, vlogs |
| @zachclayton | 1,196,384 | Influencer | Music, Entertainment, Social Media |
| @christiand | 1,100,131 | Entertainer | Comedy, Acting, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,632
Followers With Bio
4,368
Followers Without Bio
56.32%
% With Bio
43.68%
% 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 3,115 analyzed4,006,563
Combined Engagement
0
Total Likes
4,006,563
Total Retweets
801,313
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @IncredibleCulk: Hey guys, wanna feel old? I'm 40. You're welcome.
RT @bryonceee_: man huhhh???😂😂😂😂😂 https://t.co/DNmTpFPQ6S
RT @McDoogleToots: Snapchat ruined itself, Instagram is plastered with videos, Facebook is a 35 and above club, but you Twitter my friend, have killed it
RT @radricadavis_: You know whose lives don’t matter? Pedophiles. Rapists. Child abusers.
Key Insights & Takeaways
The user frequently shares personal milestones and achievements, indicating a desire for recognition and validation. There is a clear emphasis on social and environmental issues, especially related to Peru, showing a concern for public welfare. The use of links and hashtags suggests an intent to inform and engage a broader audience with relevant content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,231
- + 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 @robertoartigass reveals an exceptionally influential Twitter presence with 59,231 followers. The account demonstrates a content-creator strategy, averaging 2,483.1 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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