Voleibol Argentino

Voleibol Argentino

@Voley_FeVA

Canal oficial de información de la Federación del Voleibol Argentino 🏐 🇦🇷 Info, links, fotos al instante. 📩 [email protected]

https://feva.org.ar/ Joined 2012-04-12 Date of Analysis: Dec 16, 2025

204,463

Followers

196

Following

17,979

Tweets

208.2

Avg Engagement

231

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Voley_FeVA'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:2012-04-12
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:175.8
  • Avg Retweets per Tweet:32.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account has a high average engagement rate with 9,354 likes and 1,577 retweets per tweet, indicating strong audience interaction. The use of celebratory and emotional content likely drives this engagement.

175.8

Avg Likes/Tweet

32.3

Avg Retweets/Tweet

571,506

Total Likes

105,060

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

39

Median Likes

5

Median Retweets

140

75th Percentile

17,101

Top Tweet

1.02

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

80.0%

Original

13.8%

Replies

4.4%

Retweets

1.8%

Quotes

0.0%

Threads

0.0%

With Media

88.5%

With Links

70.1%

With #Tags

18.0%

With @Mentions

88.4%

With Emojis

204

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.17

Reply/Original Ratio

0.4

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

68.0%

Weekday Posts

32.0%

Weekend Posts

Top Hashtags

#vamosargentina (898) #laf (406) #lnvm (269) #beachvolley (226) #vnl (201) #tokyo2020 (138) #vamospanteras (119) #volleyball (92) #vamospanteritas (71) #wwch2022 (61)

Most Mentioned

@canaldeportv (101) @volleyballworld (97) @deportesar (52) @directvsports (39) @lucianodececco (20) @voleysur (19) @voley_feva (17) @facuconte7 (14) @fivbvolleyball (14) @gmail (12)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,601 (80%)
Replies 448 (14%)
Retweets 144 (4%)
Quote Tweets 57 (2%)

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 144 retweets (4% 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 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 50,000 followers

The primary audience is sports enthusiasts and fans of volleyball in Argentina, with a focus on younger demographics due to the use of emojis and expressive language. The content is also likely to attract media and sponsors interested in the sport.

Average

Audience Quality

22.0%

Suspicion Index

29.5%

Low-Quality %

29

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.3%

Empty Bio

30.2%

<10 Tweets

5.6%

Mass Following (>2K)

0.0%

New (<90 days)

44.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.7%

No URL

21.7%

<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.

25,511,767

Total Potential Reach

29

Median Follower Reach

168

75th Percentile Reach

4.2%

>1K followers

0.3%

>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).

52.9%

Creators

26,443 accounts

16.9%

Consumers

8,466 accounts

30.2%

Dormant

15,091 accounts

22

Verified Followers

0.04% of total

1.9%

Professional Bios

founder, dev, analyst, etc.

0.13

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):

Argentina (1,588) Buenos Aires, Argentina (1,479) Córdoba, Argentina (711) Ciudad Autónoma de Buenos Aire (554) Mendoza, Argentina (339) Rosario, Argentina (327) La Plata, Argentina (273) Santa Fe, Argentina (239) Buenos Aires (201) Salta, Argentina (186)

24

Verified Followers

0.02% of total

6,679

Protected Accounts

6.61% 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
@DiarioOle 3,662,298 Sports Journalist Sports, News, Passion
@porquetendencia 1,476,228 Trend Analyst News, Trends, Twitter
@CynthiaLIVE 1,424,103 Entrepreneur Personal Branding, Keynote Speaking, Columnist
@SinghLions 1,334,059 Restaurateur Food, Travel, Influencer
@soledadobrien 1,317,720 Journalist working, mom, journalist
@lamitadmas1 861,112 Sports Fan Boca Juniors, Passion, Xeneize
@morenabeltran10 560,247 Sports Journalist Deportes, ESPN, Pelota
@PoeCasanova 373,049 Poet Music, Poetry, Romance
@NachoScocco32ok 356,486 Footballer Football, River Plate, Argentina
@cabboficial 342,311 Sports Organization Basketball, Argentina, Social Media

Top Keywords in Follower Bios

futbol (2,013) deportes (1,923) voley (1,887) vida (1,686) musica (1,552) amo (1,277) anos (1,180) river (1,153) ig (1,090) boca (1,036)

Top Hashtags in Follower Bios

#1 (39) #voley (37) #4 (24) #10 (23) #8 (22) #11 (21) #5 (20) #9 (20) #12 (18) #volleyball (17)

45,205

Followers With Bio

55,792

Followers Without Bio

44.76%

% With Bio

55.24%

% 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 3,250 analyzed

65,522

Combined Engagement

57,090

Total Likes

8,432

Total Retweets

13,104

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

0%

With @Mentions

60%

With Links

Topical Analysis:

Sports Celebration Real-Time Updates Fan Engagement Visual Content National Pride

Key Insights & Takeaways

The account uses emojis and expressive language to create a lively and engaging tone. It focuses on celebrating achievements, such as the bronze medal, to boost morale and fan interaction. The content is highly visual, with frequent links to photos and videos to keep followers updated in real time.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 204,463
  • + 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 @Voley_FeVA reveals an well-established Twitter presence with 204,463 followers. The account demonstrates a content-creator strategy, averaging 208.2 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