Red Bull
#givesyouwiiings
1.989.724
Followers
24.778
Following
100.534
Tweets
200,3
Avg Engagement
7.642
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @redbull'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: Mega Influencer (1M+)
- Account Age:2008-11-21
- Verification:Yes
- Location:Worldwide
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:136,0
- Avg Retweets per Tweet:64,2
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.250 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. It frequently shares content that resonates with its followers, such as driver appreciation and event updates.
136,0
Avg Likes/Tweet
64,2
Avg Retweets/Tweet
442.159
Total Likes
208.727
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
20
75th Percentile
81.246
Top Tweet
0,1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8,1%
Original
88,0%
Replies
1,8%
Retweets
2,2%
Quotes
0,0%
Threads
0,3%
With Media
12,2%
With Links
2,2%
With #Tags
91,2%
With @Mentions
45,0%
With Emojis
47
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10,83
Reply/Original Ratio
1,23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76,0%
Weekday Posts
24,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.250 tweetsContent Type Distribution
Content Breakdown
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 57 retweets (2% 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 tweetsEngagement 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 followersThe audience is primarily motorsport enthusiasts and fans of Red Bull's drivers. They are likely interested in Formula 1, racing news, and driver updates.
Average
Audience Quality
28,9%
Suspicion Index
37,1%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,9%
Empty Bio
38,9%
<10 Tweets
6,6%
Mass Following (>2K)
0,0%
New (<90 days)
63,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,8%
No URL
28,4%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
25.266.541
Total Potential Reach
12
Median Follower Reach
70
75th Percentile Reach
3,3%
>1K followers
0,5%
>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).
39,8%
Creators
19.910 accounts
21,2%
Consumers
10.619 accounts
38,9%
Dormant
19.471 accounts
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):
1.014
Verified Followers
1.01% of total
11.197
Protected Accounts
11.2% 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 | 14.105.616 | Wrestler | Wrestling, Motivation, Self-promotion |
| @biz | 2.609.628 | Entrepreneur | technology, entrepreneurship, philanthropy |
| @Memphis | 2.594.499 | Footballer | Football, Fashion, Music |
| @iFireMonkey | 1.272.971 | - | - |
| @ATT | 906.154 | Telecommunications | Technology, Connectivity, Social Impact |
| @MilesSTEREOS | 861.908 | Musician | Guitarist, Writer, Producer |
| @ZachBoychuk | 830.153 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @sergiocarlo | 829.746 | Entertainer | Comedy, Entertainment, YouTube |
| @FivioForeign | 815.543 | Rapper | Music, Fashion, Lifestyle |
| @Brunozor | 768.615 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57.266
Followers With Bio
42.734
Followers Without Bio
57.27%
% With Bio
42.73%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.250 analyzed214.851
Combined Engagement
170.698
Total Likes
44.153
Total Retweets
42.970
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
this is a @SChecoPerez appreciation tweet https://t.co/Z8p1Mv0QFo
TWO-TIME WORLD CHAMP!!!!!!! 💪
no @F1 this weekend... https://t.co/udbpnLDVlu
RT @Max33Verstappen: ᴡᴏʀʟᴅ ᴄʜᴀᴍᴘɪᴏɴ!!!! This is just unbelievable. I started racing with my dad many years ago. We dreamed of becoming a W…
this is a Max Verstappen stan account
Key Insights & Takeaways
The account uses hashtags and links to drive engagement and traffic to related content It highlights key moments and achievements, such as driver victories and race results It maintains a consistent presence by sharing updates and news about Formula 1 events
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.989.724
- + 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 @redbull reveals an well-established Twitter presence with 1.989.724 followers. The account demonstrates a conversation-first approach, averaging 200,3 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.
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