beIN SPORTS USA

beIN SPORTS USA

@beINSPORTSUSA

Official account of beIN SPORTS USA. The fastest growing network in the US offering a premium and healthy dose of ⚽️ & other sports not found in the emojipedia.

United States https://www.beinsports.com/us/ Joined 2012-07-05 Date of Analysis: Dec 16, 2025

427,644

Followers

933

Following

144,250

Tweets

314.3

Avg Engagement

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @beINSPORTSUSA'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:2012-07-05
  • Verification:Yes
  • Location:United States

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:62.6
  • Avg Retweets per Tweet:251.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account averages 4,697 likes and 520 retweets per tweet, indicating strong audience interaction. Content featuring popular athletes and exclusive sports moments tends to perform well.

62.6

Avg Likes/Tweet

251.7

Avg Retweets/Tweet

203,601

Total Likes

818,021

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

7

Median Likes

1

Median Retweets

40

75th Percentile

282,104

Top Tweet

0.74

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

91.4%

Original

1.2%

Replies

7.2%

Retweets

0.3%

Quotes

0.0%

Threads

0.0%

With Media

95.8%

With Links

70.9%

With #Tags

20.8%

With @Mentions

94.2%

With Emojis

160

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.01

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

72.9%

Weekday Posts

27.1%

Weekend Posts

Top Hashtags

#qatar2022 (529) #ligue1 (521) #fifaworldcup (512) #superlig (217) #libertadores (190) #arg (148) #gloriaeterna (147) #ligue1ubereats (92) #ucl (90) #hrv (88)

Most Mentioned

@thelibertadores (92) @psg_english (60) @ligue1_eng (44) @superlig (39) @premierpadel (34) @paniniamerica (33) @kmbappe (28) @flamengo_en (24) @libertadoresfem (24) @beinsportsusa (23)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,969 (91%)
Replies 38 (1%)
Retweets 234 (7%)
Quote Tweets 9 (0%)

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 234 retweets (7% 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 audience is primarily sports enthusiasts, especially football fans, interested in exclusive and high-quality sports content. They are likely to follow for real-time updates and highlights from major leagues and athletes.

Average

Audience Quality

34.5%

Suspicion Index

41.0%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

46.8%

Empty Bio

50.6%

<10 Tweets

8.1%

Mass Following (>2K)

0.0%

New (<90 days)

74.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.8%

No URL

35.2%

<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 Detector

Follower Reach & Influence

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

32,453,173

Total Potential Reach

7

Median Follower Reach

48

75th Percentile Reach

2.3%

>1K followers

0.2%

>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).

26.9%

Creators

13,448 accounts

22.5%

Consumers

11,247 accounts

50.6%

Dormant

25,305 accounts

142

Verified Followers

0.28% of total

3.2%

Professional Bios

founder, dev, analyst, etc.

0.03

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):

Lagos, Nigeria (307) Nigeria (256) Cairo, Egypt (188) United States (172) Accra, Ghana (143) Kampala, Uganda (142) Nairobi, Kenya (113) Iraq (113) Dhaka, Bangladesh (101) Bangladesh (89)

362

Verified Followers

0.36% of total

9,108

Protected Accounts

9.11% of total

4 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 14,104,350 Wrestler Wrestling, Motivation, Self-promotion
@KaizerChiefs 2,778,037 Football Club Football, Soccer, Marketing
@USMNT 2,339,516 Soccer Player Soccer, United States, Men's National Team
@Flamengo_en 1,228,391 Sports Club Football, Sports, Passion
@SaddickAdams 854,910 Sports Journalist African Football, Sports Journalism, Award-winning
@_KomutanLogar 844,719 Marketing Advertising, Communication, DM
@mattletiss7 620,178 Football pundit Football, pundit, Southampton
@ghanafaofficial 600,383 Sports Administration Football, Ghana, Women's Football
@jonmorosi 441,745 Sports Journalist Baseball, Hockey, Broadcasting
@Moreno 430,287 Influencer Business, Manager, Serious

Top Keywords in Follower Bios

football (1,971) love (1,935) life (1,489) sports (1,463) god (1,146) soccer (815) fc (698) music (646) lover (621) student (594)

Top Hashtags in Follower Bios

#halamadrid (73) #ynwa (68) #mufc (62) #messi (47) #football (38) #1 (36) #usmnt (36) #bitcoin (35) #coys (33) #cfc (32)

57,671

Followers With Bio

42,329

Followers Without Bio

57.67%

% With Bio

42.33%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

704,166

Combined Engagement

0

Total Likes

704,166

Total Retweets

140,833

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Sports Football Athlete Highlights Premium Content Engagement Exclusivity

Key Insights & Takeaways

The account focuses on high-profile athletes like Messi and Valencia, leveraging their popularity to drive engagement. Content often includes exclusive access to sports events and leagues, positioning beINSPORTS as a premium sports provider. The use of emojis and trending hashtags helps to make tweets more visually appealing and shareable.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 427,644
  • + 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 @beINSPORTSUSA reveals an well-established Twitter presence with 427,644 followers. The account demonstrates a content-creator strategy, averaging 314.3 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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