Julián Yosovitch
Periodista de mercados📉📈@cronistacom Conduzco 📻 #Aftermarket VIE19h @cultura979 y #ClosingCall @GrupoIEB Profe MFIN @UdeSa y @UTDiTella Magister FinanzasUTDT
74,825
Followers
1,830
Following
87,298
Tweets
556.8
Avg Engagement
837
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @julianyosovitch'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:2011-10-28
- Verification:No
- Location:BUENOS AIRES
Data Summary
- Tweets Analyzed:3,118
- Avg Likes per Tweet:57.7
- Avg Retweets per Tweet:499.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,118 tweetsTheir tweets receive significant engagement, indicating a strong and active audience. The high average likes and retweets suggest their content is both informative and timely.
57.7
Avg Likes/Tweet
499.1
Avg Retweets/Tweet
179,905
Total Likes
1,556,222
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
9
Median Retweets
129
75th Percentile
335,478
Top Tweet
7.44
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
33.5%
Original
23.4%
Replies
34.7%
Retweets
8.4%
Quotes
0.0%
Threads
0.0%
With Media
74.2%
With Links
9.7%
With #Tags
65.2%
With @Mentions
47.7%
With Emojis
176
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.7
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.6%
Weekday Posts
18.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,118 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 1,081 retweets (35% 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 3,118 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 followersTheir audience is primarily interested in financial news, inflation data, and market trends. They are likely professionals in finance, economics, and related fields.
Average
Audience Quality
22.5%
Suspicion Index
32.6%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.9%
Empty Bio
22.5%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
44.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
15.2%
<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.
7,548,636
Total Potential Reach
44
Median Follower Reach
198
75th Percentile Reach
6.5%
>1K followers
1.0%
>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).
59.6%
Creators
5,961 accounts
17.9%
Consumers
1,792 accounts
22.5%
Dormant
2,247 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):
56
Verified Followers
0.56% of total
873
Protected Accounts
8.73% of total
6 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 |
|---|---|---|---|
| @EvanKirstel | 349,412 | Tech Influencer | Tech, B2B, Social media |
| @RCachanosky | 318,163 | Economist | economics, editor, website |
| @maximmontenegro | 263,862 | Journalist | Economist, Journalist, News |
| @arielpalacios | 243,617 | Journalist | News, Sports, Argentina |
| @OutMessi_ | 214,229 | Content Creator | Football, Humor, Memes |
| @nachomdeo | 185,080 | Journalist | Periodista, escritor, Youtube |
| @EconomistaFlait | 143,286 | Economist | economía, mercados, finanzas |
| @bromencasa | 140,302 | Nutritionist | Nutrition, Education, Community |
| @SantiagoDapelo | 137,549 | Government Affairs | Government, Affairs, Industries |
| @mundoyfinanzas | 128,046 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,008
Followers With Bio
4,992
Followers Without Bio
50.08%
% With Bio
49.92%
% 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 3,118 analyzed783,948
Combined Engagement
0
Total Likes
783,948
Total Retweets
156,790
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
RT @neymarjr: Felicidades Hermano 👏🏽 #leomessi https://t.co/5XClpQf15y
RT @fifaworldcup_es: 🇦🇷🏆 https://t.co/jIizywivjR
RT @afa: #NuevaFotoDePerfil https://t.co/wcQ7O2mop0
RT @emimartinezz1: How it started How it’s going https://t.co/rXsTf8D5AN https://t.co/cK75GytW9j
Key Insights & Takeaways
Their content is heavily focused on inflation metrics and economic data. They use emojis and urgent language to highlight key economic figures. They frequently share data from specific sources, indicating a focus on credibility and real-time updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,825
- + 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 @julianyosovitch reveals an well-established Twitter presence with 74,825 followers. The account demonstrates a content-creator strategy, averaging 556.8 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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