Scott “Scooter” Braun
3.532.155
Followers
6.250
Following
32.022
Tweets
4.122,5
Avg Engagement
13.334
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @scooterbraun'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:2008-10-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.013
- Avg Likes per Tweet:1.357,3
- Avg Retweets per Tweet:2.765,2
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.013 tweetsScooterbraun's tweets receive high engagement, averaging 48,521 likes and 10,193 retweets, indicating a highly active and interested follower base.
1.357,3
Avg Likes/Tweet
2.765,2
Avg Retweets/Tweet
4.089.459
Total Likes
8.331.643
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
322
Median Retweets
3.665
75th Percentile
536.131
Top Tweet
1,17
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
25,3%
Original
6,3%
Replies
58,3%
Retweets
10,0%
Quotes
0,0%
Threads
0,2%
With Media
59,2%
With Links
35,9%
With #Tags
79,7%
With @Mentions
25,8%
With Emojis
99
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,25
Reply/Original Ratio
0,17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82,4%
Weekday Posts
17,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.013 tweetsContent Type Distribution
Content Breakdown
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 1.758 retweets (58% 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 3.013 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 primarily consists of fans of celebrities and entertainment news, with a strong interest in celebrity relationships and charitable activities.
Average
Audience Quality
27,5%
Suspicion Index
31,3%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34,9%
Empty Bio
40,1%
<10 Tweets
9,3%
Mass Following (>2K)
0,0%
New (<90 days)
57,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
86,6%
No URL
27,6%
<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.
75.242.726
Total Potential Reach
15
Median Follower Reach
118
75th Percentile Reach
6,1%
>1K followers
0,9%
>10K followers
0,3%
>50K followers
0,2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
40,1%
Creators
20.068 accounts
19,7%
Consumers
9.862 accounts
40,1%
Dormant
20.070 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):
1.067
Verified Followers
1.06% of total
11.090
Protected Accounts
10.98% 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 |
|---|---|---|---|
| @MrBeast | 19.453.791 | YouTuber | Philanthropy, YouTube, Charity |
| @jamescharles | 7.093.978 | Makeup Artist | Makeup, Beauty, Art |
| @alvxaro | 4.876.526 | Meme Slayer | memes, humor, matadora |
| @whoisaddison | 4.845.153 | - | - |
| @dixiedamelio | 3.956.881 | Influencer | Music, Dance, Social Media |
| @Razer | 3.437.002 | Gaming Company | Gaming, Support, Action |
| @Vikkstar123 | 3.301.235 | YouTuber | YouTube, Gaming, Business |
| @stoolpresidente | 2.895.999 | Entrepreneur | Sports, Stocks, Entrepreneurship |
| @DaneCook | 2.688.049 | Comedian | comedy, entertainment, humor |
| @RealRonHoward | 2.550.962 | Filmmaker | Family, Storytelling, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68.200
Followers With Bio
32.794
Followers Without Bio
67.53%
% With Bio
32.47%
% 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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Export full follower list with profile details, bios, locations, and follower counts as CSV.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.013 analyzed1.865.336
Combined Engagement
0
Total Likes
1.865.336
Total Retweets
373.067
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @JoeBiden: America, I’m honored that you have chosen me to lead our great country. The work ahead of us will be hard, but I promise you…
RT @JoeBiden: It’s a new day in America.
RT @BIGHIT_MUSIC: #BTS #방탄소년단 <Butter> Official MV (https://t.co/dVeyoAGNtQ) #BTS_Butter #SmoothLikeButter
RT @BTS_twt: https://t.co/UV3ukkMNqh 👍❤ #yummy #JK
RT @BIGHIT_MUSIC: #BTS #방탄소년단 Butter Release #BTS_Butter ▶ Global : https://t.co/8w4SYBWG80
Key Insights & Takeaways
Scooterbraun frequently shares personal and emotional moments involving celebrities, which drives high engagement. The account often highlights charitable efforts and collaborations, resonating with fans who value social responsibility. There is a notable focus on specific celebrities like Billie Eilish and Justin Bieber, suggesting a targeted audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3.532.155
- + 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 @scooterbraun reveals an exceptionally influential Twitter presence with 3.532.155 followers. The account demonstrates a content-creator strategy, averaging 4.122,5 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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