iProfesional
Noticias y análisis las 24 horas | Fb: https://www.facebook.com/unsupportedbrowser IG: https://www.facebook.com/unsupportedbrowser | Telegram: https://t.me/iprofesionalcom
85,737
Followers
864
Following
324,409
Tweets
1.4
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @iProfesional'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:2009-07-07
- Verification:No
- Location:Argentina
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.0
- Avg Retweets per Tweet:0.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account has an average of 71 likes and 22 retweets per tweet, indicating moderate engagement. The content is likely to resonate with its target audience due to its focus on timely and relevant topics.
1.0
Avg Likes/Tweet
0.4
Avg Retweets/Tweet
3,359
Total Likes
1,332
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
325
Top Tweet
0.02
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
99.9%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
100.0%
With Links
0.0%
With #Tags
0.3%
With @Mentions
0.1%
With Emojis
110
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 retweets (0% 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 3,250 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 is primarily interested in current events, especially economic and political developments in Argentina. They are likely to be politically engaged individuals and professionals seeking in-depth analysis.
Average
Audience Quality
25.6%
Suspicion Index
34.4%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
27.6%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
54.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
19.6%
<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.
6,079,733
Total Potential Reach
29
Median Follower Reach
151
75th Percentile Reach
5.7%
>1K followers
0.8%
>10K followers
0.2%
>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).
52.4%
Creators
5,244 accounts
19.9%
Consumers
1,995 accounts
27.6%
Dormant
2,761 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):
36
Verified Followers
0.36% of total
1,068
Protected Accounts
10.68% 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 |
|---|---|---|---|
| @A24COM | 793,083 | News Outlet | Noticias, Deportes, Entretenimiento |
| @F1Tornello | 296,549 | Sports Commentator | Formula 1, Relator, Conductor |
| @maurivesprini | 253,579 | Influencer | Coca Cola, decisiones, vida |
| @ivannoble | 208,002 | Journalist | - |
| @danielcolombopr | 183,261 | Coach | Motivation, Coaching, Communication |
| @BumperCrop1 | 118,728 | Agricultor | Agriculture, Economics, Libertarianism |
| @d_balmaceda | 118,073 | Historian | history, author, online courses |
| @rgprofesional | 81,958 | - | - |
| @franju | 72,050 | Influencer | TV, Glass, MegaSn |
| @MateoSfeir | 69,112 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,083
Followers With Bio
4,917
Followers Without Bio
50.83%
% With Bio
49.17%
% 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 3,250 analyzed764
Combined Engagement
587
Total Likes
177
Total Retweets
153
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Paladini: "Esta situación ya es de hiperinflación" https://t.co/o9SrkIknLR
Elecciones 2023: Javier Milei anunció los dos economistas que lo acompañarán si gana las Elecciones https://t.co/LmoKFXQRQ7
Denunciaron a Matías Tombolini: lo acusan de favorecer a empresas con importaciones https://t.co/fN0YNaGgCt
Patricia Bullrich: "Cristina Kirchner vive su realidad en un frasco" https://t.co/9gfFGiaai2
"Crear una nueva moneda": la propuesta de economista de Patricia Bullrich https://t.co/azwH5peUhZ
Key Insights & Takeaways
The account frequently discusses economic crises and inflation, which are key concerns for its audience. It covers political developments, including election updates and policy announcements, which attract attention. The use of multiple social media platforms suggests a strategy to maximize reach and engagement.
Strengths
- + Established follower base of 85,737
- + 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 @iProfesional reveals an growing Twitter presence with 85,737 followers. The account demonstrates a content-creator strategy, averaging 1.4 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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