Matias Tombolini
Economista. Docente. Secretario de Comercio 🇦🇷 En pareja. Papá de tres.
127,328
Followers
694
Following
25,312
Tweets
72.5
Avg Engagement
465
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matiastombolini'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:2009-04-09
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:36.0
- Avg Retweets per Tweet:36.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests his content is relevant and thought-provoking.
36.0
Avg Likes/Tweet
36.5
Avg Retweets/Tweet
116,978
Total Likes
118,627
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
5
Median Retweets
42
75th Percentile
9,184
Top Tweet
0.57
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
47.2%
Original
37.9%
Replies
12.7%
Retweets
2.3%
Quotes
0.0%
Threads
0.0%
With Media
45.3%
With Links
59.1%
With #Tags
47.5%
With @Mentions
34.9%
With Emojis
200
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.1%
Weekday Posts
17.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 411 retweets (13% 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 3,249 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 followersHis audience is likely interested in economics, public policy, and education. They may include students, academics, and professionals in related fields.
Average
Audience Quality
20.9%
Suspicion Index
27.9%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.8%
Empty Bio
17.8%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
43.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
11.0%
<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.
58,207,277
Total Potential Reach
55
Median Follower Reach
227
75th Percentile Reach
7.9%
>1K followers
1.1%
>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).
64.5%
Creators
32,240 accounts
17.8%
Consumers
8,877 accounts
17.8%
Dormant
8,883 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):
151
Verified Followers
0.15% of total
11,545
Protected Accounts
11.43% of total
10 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 |
|---|---|---|---|
| @rialjorge | 3,384,931 | Journalist | Periodista, Abuelo, Orgulloso |
| @germanpaoloski | 3,132,392 | Journalist | journalism, sports, news production |
| @iudica | 1,900,315 | TV Host | TV, Conductor, Productor |
| @MarceloPolino | 1,704,921 | Journalist | Entertainment, Journalism, Television |
| @connieansaldi | 1,621,141 | Consultant | Speaker, Consultora, Transformación organizacional |
| @elchatoprada | 1,484,298 | Entertainment | Showmatch, Canta Conmigo, Independiente |
| @hoppefede | 1,251,969 | TV Producer | Television, Showmatch, La Flia |
| @SergioMassa | 1,233,450 | Abogado | Politics, Law, Argentina |
| @ZampiniCarinaOk | 1,201,652 | Actress | evolución, búsqueda, aprendizaje |
| @GugaLusto | 1,173,930 | Politician | politics, family, coalition |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,970
Followers With Bio
48,029
Followers Without Bio
52.45%
% With Bio
47.55%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,249 analyzed27,810
Combined Engagement
13,850
Total Likes
13,960
Total Retweets
5,562
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
Si ibas a poner un CEPO el domingo, por qué no lo hiciste directamente el miércoles, mientras las LETES las cancelabas con reservas y las LECAP las cubrías sin riesgo que el dolar se vaya a las nubes? Respuesta: NO SE PUEDE SER MAS CAPRICHOSO (MACRI), NI MAS INUTIL (SU EQUIPO).
Errores en la interpretación de lo que dispuso el Banco Central, abro #hilo 👇 https://t.co/2BsoHesD5r
Sería bueno que la misma creatividad que tuvieron para extender horario bancario (lo cual es razonable) la usen para abrir los comedores escolares sábado y domingo para aquellos chicos que,producto de la IMPERICIA y el CAPRICHO del gobierno, necesitan asistencia alimentaria.
RT @alferdez: Hoy es un día muy ingrato para alguien que, como yo, se ha criado en la familia de un juez, se ha educado en el mundo del der…
RT @SergioMassa: Cuando el odio y la violencia se imponen sobre el debate de ideas, destruyen a las sociedades y se generan situaciones com…
Key Insights & Takeaways
His tweets often highlight economic policy issues and public service concerns He engages with complex topics and encourages discussion through threads and hashtags He uses his platform to critique and propose improvements in economic and social policies
Strengths
- + Established follower base of 127,328
- + 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 @matiastombolini reveals an growing Twitter presence with 127,328 followers. The account demonstrates a content-creator strategy, averaging 72.5 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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