1,556,056
Followers
2,878
Following
14,053
Tweets
74.2
Avg Engagement
2,376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rubionatural'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:2010-04-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,127
- Avg Likes per Tweet:26.5
- Avg Retweets per Tweet:47.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,127 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and widely shared.
26.5
Avg Likes/Tweet
47.7
Avg Retweets/Tweet
82,867
Total Likes
149,248
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
35
75th Percentile
19,065
Top Tweet
0.05
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
26.7%
Original
8.9%
Replies
59.6%
Retweets
4.7%
Quotes
0.0%
Threads
0.0%
With Media
50.9%
With Links
42.2%
With #Tags
81.1%
With @Mentions
10.6%
With Emojis
111
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.9%
Weekday Posts
15.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,127 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 1,865 retweets (60% 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 3,127 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 politics, social issues, and current events. They are likely from Chile and other regions interested in similar topics.
Average
Audience Quality
32.6%
Suspicion Index
44.6%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.2%
Empty Bio
46.4%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
68.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
31.9%
<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.
31,915,069
Total Potential Reach
6
Median Follower Reach
30
75th Percentile Reach
2.6%
>1K followers
0.3%
>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).
28.9%
Creators
14,467 accounts
24.6%
Consumers
12,309 accounts
46.4%
Dormant
23,224 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):
58
Verified Followers
0.06% of total
5,557
Protected Accounts
5.56% 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 |
|---|---|---|---|
| @davidbisbal | 9,877,157 | Singer | Music, Singer, Performer |
| @adnradiochile | 2,683,095 | News Broadcaster | Actualidad, Deportes, Noticias |
| @SoledadOnetto | 1,942,216 | Journalist | Historias, periodista, escuchar |
| @a_reirse | 1,863,938 | - | - |
| @elchatoprada | 1,485,389 | Entertainment | Showmatch, Canta Conmigo, Independiente |
| @hoppefede | 1,253,114 | TV Producer | Television, Showmatch, La Flia |
| @manuelcarrasco_ | 699,003 | Singer | Music, Singer, Book |
| @WipeHomophobia | 697,250 | - | - |
| @danieljadue | 664,390 | Politician | Urbanismo, Arquitectura, Sociología |
| @aluksicc | 614,874 | Empresario | Empresario, Chile, Instagram |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,821
Followers With Bio
62,179
Followers Without Bio
37.82%
% With Bio
62.18%
% 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 3,127 analyzed51,454
Combined Engagement
0
Total Likes
51,454
Total Retweets
10,291
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @SoyBesable: “Y no te doy otra no más porque ya estas conmigo Chavito” - Don Ramón. http://t.co/nt9OZKrudW
RT @LennyKravitz: #penisgate http://t.co/jEafrIXdBh
RT @Alexis_Sanchez: CAMPEONES ...🇨🇱🇨🇱🇨🇱😭😭🏆🎊🎊🎊🎉🎊🚀 https://t.co/S3KPgEW4DA
RT @C1audioBravo: Infinitas gracias a todas las personas que me ayudan a ser mejor 👍 #MejorDeAmerica 👏 http://t.co/2i8LFDEurq
RT @MedelPitbull: Todos juntos, como ayer, como hoy y como siempre. Juntos hasta el final. Vamos #Chile http://t.co/nnGUpSBrk5
Key Insights & Takeaways
They focus on national and global events, often highlighting social and political issues. Their content is emotionally resonant, as seen in their personal gratitude posts. They use their platform to raise awareness about natural disasters and public policy needs.
Strengths
- + Established follower base of 1,556,056
- + 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 @rubionatural reveals an growing Twitter presence with 1,556,056 followers. The account demonstrates a content-creator strategy, averaging 74.2 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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