Laureus

Laureus

@LaureusSport

Official global account of Laureus. A global sporting movement celebrating the world’s greatest athletes and the power of sport to change lives.

https://www.laureus.com/ Joined 2009-03-24 Date of Analysis: Dec 16, 2025

169,275

Followers

2,381

Following

23,433

Tweets

288.1

Avg Engagement

500

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @LaureusSport'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:2009-03-24
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,238
  • Avg Likes per Tweet:126.4
  • Avg Retweets per Tweet:161.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,238 tweets

The account has a high average number of likes and retweets, indicating strong audience interaction. The engagement is driven by emotionally compelling and high-profile content related to sports and athletes.

126.4

Avg Likes/Tweet

161.6

Avg Retweets/Tweet

409,376

Total Likes

523,339

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

12

Median Likes

4

Median Retweets

83

75th Percentile

101,704

Top Tweet

1.7

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

56.8%

Original

21.3%

Replies

18.6%

Retweets

3.3%

Quotes

0.0%

Threads

0.2%

With Media

70.4%

With Links

67.5%

With #Tags

83.8%

With @Mentions

76.6%

With Emojis

205

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.38

Reply/Original Ratio

0.18

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

81.8%

Weekday Posts

18.2%

Weekend Posts

Top Hashtags

#sportforgood (549) #laureus21 (260) #laureus22 (255) #laureus23 (214) #laureusfamily (200) #sportunitesus (142) #otd (136) #weekinsport (122) #everyonewins (67) #mandeladay (55)

Most Mentioned

@laureussport (176) @olympics (155) @lewishamilton (117) @rafaelnadal (73) @paralympics (70) @naomiosaka (69) @eliudkipchoge (62) @laureus_usa (61) @f1 (59) @mercedesamgf1 (59)

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 3,238 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,840 (57%)
Replies 691 (21%)
Retweets 601 (19%)
Quote Tweets 106 (3%)

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 601 retweets (19% 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 3,238 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 likely sports enthusiasts, fans of notable athletes, and individuals interested in the impact of sports on personal development. They are engaged with content that showcases inspirational stories and major sporting events.

Average

Audience Quality

23.6%

Suspicion Index

18.9%

Low-Quality %

111

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

29.3%

Empty Bio

15.2%

<10 Tweets

28.8%

Mass Following (>2K)

0.0%

New (<90 days)

47.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.6%

No URL

8.5%

<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.

208,725,816

Total Potential Reach

111

Median Follower Reach

403

75th Percentile Reach

11.8%

>1K followers

1.7%

>10K followers

0.6%

>50K followers

0.4%

>100K followers

Creator vs Consumer Split

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

66.1%

Creators

33,067 accounts

18.7%

Consumers

9,351 accounts

15.2%

Dormant

7,582 accounts

318

Verified Followers

0.64% of total

9.1%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

South Africa (613) India (564) Johannesburg, South Africa (475) Nairobi, Kenya (307) Cape Town, South Africa (307) London, England (300) Pretoria, South Africa (291) New Delhi, India (254) London (228) Mumbai, India (214)

357

Verified Followers

0.35% of total

9,926

Protected Accounts

9.83% of total

7 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
@LFC 23,651,811 Sports Team Football, Anti-hate, Unity
@ICC 19,133,163 Sports Governance Cricket, Sports, Global
@RafaelNadal 15,725,667 Tennis Player Tennis, Sports, Athlete
@JohnCena 14,100,832 Wrestler Wrestling, Motivation, Self-promotion
@warriors 8,291,237 Sports Team basketball, championships, fan pride
@Max33Verstappen 3,293,356 Racing Driver F1, Red Bull Racing, Pushing Limits
@diarioas 3,261,249 Sports News Deporte, Noticias, Directo
@MonsterEnergy 3,018,112 Energy Drink Energy drinks, extreme sports, lifestyle
@patriciajaniot 2,986,906 Journalist Periodista, Conductora, Presidenta
@MissMalini 2,617,223 Blogger Bollywood, Fashion, Beauty

Top Keywords in Follower Bios

sports (2,928) love (2,795) life (2,167) music (1,744) football (1,729) god (1,679) sport (1,544) news (1,523) world (1,221) lover (1,087)

Top Hashtags in Follower Bios

#ynwa (79) #mufc (58) #messi (57) #f1 (55) #football (47) #bitcoin (45) #1 (39) #sports (37) #halamadrid (37) #teamlh (36)

67,289

Followers With Bio

33,707

Followers Without Bio

66.63%

% With Bio

33.37%

% 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 3,238 analyzed

300,749

Combined Engagement

0

Total Likes

300,749

Total Retweets

60,150

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Inspiration Sportsmanship Global Athletes Overcoming Adversity Youth Achievements

Key Insights & Takeaways

The content often highlights young athletes achieving remarkable feats, showcasing the potential of talent at an early age. There is a focus on overcoming adversity, such as athletes with physical challenges, which resonates deeply with followers. Celebrating global sporting events and iconic athletes helps maintain a broad and diverse audience interest.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 169,275
  • + 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 @LaureusSport reveals an well-established Twitter presence with 169,275 followers. The account demonstrates a content-creator strategy, averaging 288.1 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