Ariel Sbdar
CEO @cocoscap | Correntino | Tweets son opinión propia y en ningún caso recomendación de comprar / vender un activo.
104,774
Followers
2,670
Following
72,653
Tweets
91.4
Avg Engagement
900
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @arielsbdar'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:2009-11-07
- Verification:Yes
- Location:Argentina
Data Summary
- Tweets Analyzed:3,214
- Avg Likes per Tweet:14.7
- Avg Retweets per Tweet:76.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,214 tweetsThe account maintains a consistent level of engagement with an average of 877 likes and 110 retweets per tweet. Their content is well-received and often shared within their community.
14.7
Avg Likes/Tweet
76.7
Avg Retweets/Tweet
47,326
Total Likes
246,363
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
32,815
Top Tweet
0.87
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
7.3%
Original
75.2%
Replies
16.6%
Retweets
0.9%
Quotes
0.0%
Threads
0.2%
With Media
22.2%
With Links
1.2%
With #Tags
94.0%
With @Mentions
6.7%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.29
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.7%
Weekday Posts
19.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,214 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 532 retweets (17% 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 3,214 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 personal finance, lifestyle, and entertainment. They are likely looking for opinions and insights rather than direct financial recommendations.
Average
Audience Quality
21.0%
Suspicion Index
31.7%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.8%
Empty Bio
21.4%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
41.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
14.6%
<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.
9,562,476
Total Potential Reach
55
Median Follower Reach
206
75th Percentile Reach
5.3%
>1K followers
0.7%
>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).
60.4%
Creators
6,041 accounts
18.2%
Consumers
1,821 accounts
21.4%
Dormant
2,138 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):
71
Verified Followers
0.71% of total
1,063
Protected Accounts
10.63% 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,370,402 | - | - |
| @ngmagaldi | 609,468 | Journalist | Journalism, Hosting, Entrepreneurship |
| @agusantonetti | 188,343 | International Relations | Relaciones Internacionales, Viajes, Culturas |
| @santibacigalup | 161,189 | Content Creator | videos, comercial, email |
| @EconomistaFlait | 143,204 | Economist | economía, mercados, finanzas |
| @RoiLopezRivas | 119,975 | Geologist | Gobierno, URSS, Chavista |
| @diegograziano | 102,012 | Tech Executive | Technology, Finance, Risk-taking |
| @lynkezlol | 82,278 | - | - |
| @Macasanchezj | 70,269 | Futbolista | Futbol, Feminismo, Juventud |
| @ricburton | 65,096 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,121
Followers With Bio
4,879
Followers Without Bio
51.21%
% With Bio
48.79%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,214 analyzed115,161
Combined Engagement
0
Total Likes
115,161
Total Retweets
23,032
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @PicturesFoIder: https://t.co/IPEhiSLyqo
RT @SpaceX: Liftoff of Starship! https://t.co/4t8mRP37Gp
RT @elonmusk: Starship preparing for launch 🚀 https://t.co/M1pR8rsmYt
RT @0xgaut: If your boss looks like this, your company will survive the recession https://t.co/qYRUOFtUyF
RT @elonmusk: @0xgaut Not totally wrong. Slept on a friend’s couch last weekend.
Key Insights & Takeaways
The user frequently shares practical advice on financial decisions, such as evaluating discounts for cash payments. They engage with their followers by mentioning and interacting with other accounts, which helps build a sense of community. Their content often includes a mix of informative and entertaining posts, which keeps the audience engaged.
Strengths
- + Established follower base of 104,774
- + 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 @arielsbdar reveals an growing Twitter presence with 104,774 followers. The account demonstrates a conversation-first approach, averaging 91.4 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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