Marcelo Gantman

Marcelo Gantman

@marcelogantman

Director Big Data Sports @BigDataSports21 - Libro: El Final del Deporte Como lo Conocimos

Buenos Aires, Argentina https://t.co/4iYOusMIMb Joined 2007-07-21 Date of Analysis: Dec 16, 2025

100,575

Followers

8,294

Following

31,270

Tweets

699.4

Avg Engagement

1,205

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @marcelogantman'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:2007-07-21
  • Verification:No
  • Location:Buenos Aires, Argentina

Data Summary

  • Tweets Analyzed:3,211
  • Avg Likes per Tweet:27.6
  • Avg Retweets per Tweet:671.8
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,211 tweets

His tweets receive moderate to high engagement, indicating a dedicated and interested audience. The mix of news, behind-the-scenes content, and direct interactions helps maintain audience interest.

27.6

Avg Likes/Tweet

671.8

Avg Retweets/Tweet

88,509

Total Likes

2,157,298

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

1

Median Retweets

30

75th Percentile

599,396

Top Tweet

6.95

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

19.3%

Original

20.8%

Replies

37.1%

Retweets

22.9%

Quotes

0.0%

Threads

0.0%

With Media

66.3%

With Links

22.2%

With #Tags

61.8%

With @Mentions

27.2%

With Emojis

140

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.08

Reply/Original Ratio

0.62

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.9%

Weekday Posts

25.1%

Weekend Posts

Top Hashtags

#bigdatasports (63) #qatar2022 (30) #messi (25) #tokyo2020 (21) #nba (19) #sportbizlatam (18) #sismasterclass2020 (18) #rolandgarros (13) #libertadores (13) #1 (12)

Most Mentioned

@bigdatasports21 (247) @podcastbds (178) @marcelogantman (149) @nicorot (112) @agimenez (105) @mmcr85 (79) @flowcontenidos (79) @bigdatasportsar (60) @alejwall (40) @giacojuli_ (30)

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Content Strategy Analysis

Based on 3,211 tweets

Content Type Distribution

Content Breakdown

Original Tweets 619 (19%)
Replies 667 (21%)
Retweets 1,191 (37%)
Quote Tweets 734 (23%)

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 1,191 retweets (37% 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 3,211 tweets

Engagement 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 followers

His audience appears to be interested in sports analytics, data science, and current sports events. They are likely professionals, students, or enthusiasts looking for in-depth insights and updates.

Average

Audience Quality

20.4%

Suspicion Index

22.3%

Low-Quality %

82

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.4%

Empty Bio

12.7%

<10 Tweets

16.4%

Mass Following (>2K)

0.0%

New (<90 days)

45.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.8%

No URL

7.1%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

46,644,797

Total Potential Reach

82

Median Follower Reach

352

75th Percentile Reach

12.7%

>1K followers

2.9%

>10K followers

1.0%

>50K followers

0.6%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

70.4%

Creators

7,043 accounts

16.9%

Consumers

1,692 accounts

12.7%

Dormant

1,265 accounts

78

Verified Followers

0.78% of total

8.1%

Professional Bios

founder, dev, analyst, etc.

0.12

Median Follow Ratio

follower/following

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):

Buenos Aires, Argentina (496) Argentina (389) Ciudad Autónoma de Buenos Aire (300) Buenos Aires (183) Córdoba, Argentina (93) Rosario, Argentina (91) La Plata, Argentina (63) Mendoza, Argentina (42) Mar del Plata, Argentina (39) Montevideo, Uruguay (36)

78

Verified Followers

0.78% of total

733

Protected Accounts

7.33% of total

8 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
@JohnCena 14,092,898 Wrestler Wrestling, Motivation, Self-promotion
@DanielSturridge 2,316,200 Footballer Football, Nike, Music
@picomonaco 1,218,538 Tennis Player Tennis, Instagram, Contacto
@casaleantonio 1,161,147 - -
@VHMok 1,021,246 Journalist Politics, Radio, Sports
@rogerhamilton 925,555 Entrepreneur education, entrepreneurship, futurism
@LuisOmarTapia 894,118 Sports commentator Soccer, Champions League, Commentator
@GrantWahl 845,087 Sports Journalist Soccer, Newsletter, Sports
@DoentesPFutebol 812,554 Sports Blogger Futebol, Informação, Opinião
@ASRomaEN 721,317 Sports Team Football, Soccer, Sports

Top Keywords in Follower Bios

periodista (478) futbol (454) hincha (308) deportivo (270) comunicacion (180) vida (171) river (169) argentina (156) boca (145) siempre (140)

Top Hashtags in Follower Bios

#bigdata (13) #ai (7) #sportsbiz (7) #marketing (7) #datascience (7) #podcast (6) #independiente (5) #comunicacio (5) #musica (5) #bitcoin (5)

6,258

Followers With Bio

3,742

Followers Without Bio

62.58%

% With Bio

37.42%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,211 analyzed

1,420,156

Combined Engagement

0

Total Likes

1,420,156

Total Retweets

284,031

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Sports Analytics Behind-The-Scenes Content Sports News Data Science Athlete Interactions

Key Insights & Takeaways

He frequently shares behind-the-scenes content and sports news updates. His tweets often include direct interactions and quotes from athletes or officials. He uses a mix of Spanish and English in his tweets, suggesting a bilingual audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 100,575
  • + 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 @marcelogantman reveals an well-established Twitter presence with 100,575 followers. The account demonstrates a conversation-first approach, averaging 699.4 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025