FC Red Bull Salzburg

FC Red Bull Salzburg

@RedBullSalzburg

Serienmeister seit 2014 🏆 🇬🇧 @FCRBS_en | 🇫🇷 @FCRBS_fr | 🇯🇵 @FCRBS_jp

Austria, Salzburg https://t.co/O8Jw3YOxPA Joined 2009-08-11 Date of Analysis: Dec 16, 2025

69,519

Followers

240

Following

36,935

Tweets

59.2

Avg Engagement

678

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @RedBullSalzburg'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: Mid-Tier (10K+)
  • Account Age:2009-08-11
  • Verification:No
  • Location:Austria, Salzburg

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:53.6
  • Avg Retweets per Tweet:5.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,250 tweets

{'average_likes': 'Varies greatly; match highlights and significant news garner the most likes (500-2000+). Routine posts average 100-500.', 'average_replies': 'Moderate; often include fan questions, congratulations, or expressions of support.', 'average_retweets': 'Similar to likes, highly variable depending on content. Match highlights and player announcements frequently retweeted.', 'overall_engagement_rate': 'Moderate to high when content is compelling (match results, player news). Lower for routine updates.'}

53.6

Avg Likes/Tweet

5.6

Avg Retweets/Tweet

174,057

Total Likes

18,348

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

22

Median Likes

2

Median Retweets

42

75th Percentile

28,103

Top Tweet

0.85

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

85.7%

Original

10.0%

Replies

1.4%

Retweets

2.9%

Quotes

0.0%

Threads

0.3%

With Media

72.4%

With Links

67.7%

With #Tags

9.5%

With @Mentions

68.5%

With Emojis

114

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.12

Reply/Original Ratio

2.07

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

60.0%

Weekday Posts

40.0%

Weekend Posts

Top Hashtags

#ucl (256) #uyl (170) #uel (93) #scrrbs (78) #rbsstu (77) #rbsscr (73) #sturbs (72) #fakrbs (71) #askrbs (67) #salzag (67)

Most Mentioned

@fcrbs_en (43) @championsleague (18) @uefayouthleague (12) @europaleague (11) @acmilan (10) @sksturm (9) @lgourna_off (9) @chelseafc (9) @skrapid (7) @fkaustriawien (7)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,785 (86%)
Replies 324 (10%)
Retweets 46 (1%)
Quote Tweets 95 (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 46 retweets (1% 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 10,000 followers

{'interests': 'Football (Soccer), Austrian Bundesliga, Champions League/Europa League, Red Bull brands, sports news, player profiles.', 'demographics': "Likely heavily skewed towards Austrian football fans, with a significant portion interested in European club football. Likely a younger demographic (18-45) due to the platform's user base and the nature of sports fandom.", 'geographic_location': 'Austria, Germany, and other European countries with a strong football following.'}

Average

Audience Quality

28.2%

Suspicion Index

31.3%

Low-Quality %

33

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

41.4%

Empty Bio

29.8%

<10 Tweets

15.7%

Mass Following (>2K)

0.0%

New (<90 days)

62.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.6%

No URL

21.2%

<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.

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Follower Reach & Influence

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

21,508,619

Total Potential Reach

33

Median Follower Reach

150

75th Percentile Reach

5.0%

>1K followers

0.6%

>10K followers

0.2%

>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).

49.0%

Creators

4,896 accounts

21.3%

Consumers

2,127 accounts

29.8%

Dormant

2,977 accounts

55

Verified Followers

0.55% of total

4.8%

Professional Bios

founder, dev, analyst, etc.

0.06

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 (99) Nigeria (76) Israel (72) ישראל (68) Accra, Ghana (67) Austria (46) Ghana (33) Wien, Österreich (31) Côte d'Ivoire (29) Nairobi, Kenya (28)

55

Verified Followers

0.55% of total

747

Protected Accounts

7.47% 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
@FabrizioRomano 15,565,022 Journalist Football, Transfers, News
@LeBronJames 940,524 - -
@Moreno 428,726 Influencer Business, Manager, Serious
@WhistleFC 288,317 - -
@TheRealBozza 198,130 Football Analyst Football, Analyst, Sport Lover
@redbullindia 139,772 Energy Drink Gaming, Energy, Sports
@Dr_Rafizadeh 121,668 Political Analyst Politics, Business, Science
@SilvioGReal 109,537 Influencer -
@vartatico 104,085 - -
@Globe_Soccer 103,617 Sports Awards football, awards, legends

Top Keywords in Follower Bios

football (358) love (151) god (146) fc (131) united (130) sports (130) sorare (122) life (108) chelsea (102) manchester (91)

Top Hashtags in Follower Bios

#ynwa (13) #sorare (13) #mufc (12) #teamom (11) #lufc (11) #football (10) #lfc (9) #1 (7) #nft (7) #acmilan (7)

5,861

Followers With Bio

4,139

Followers Without Bio

58.61%

% With Bio

41.39%

% 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

54,908

Combined Engagement

50,751

Total Likes

4,157

Total Retweets

10,982

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Match Results Player Transfers Champions League/Europa League Training Updates Team News Fan Reactions Goal Highlights

Key Insights & Takeaways

['Zero accounts are followed - a common strategy for official sports accounts to maintain control of their feed and avoid unnecessary noise.', 'Content strategy is heavily focused on match-related updates and player spotlights to capitalize on fan interest.', 'Visual content (videos, images) are crucial for driving engagement, especially highlights and behind-the-scenes glimpses.', 'Leveraging hashtags related to the Austrian Bundesliga, Champions League/Europa League, and Red Bull significantly expands reach.', 'Responding to fan comments and questions, even briefly, fosters a sense of community and strengthens the relationship between the club and its supporters.']

Strengths

  • + Established follower base of 69,519
  • + 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 @RedBullSalzburg reveals an growing Twitter presence with 69,519 followers. The account demonstrates a content-creator strategy, averaging 59.2 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