Brandon Larned
streamer. Business: [email protected]
123,369
Followers
1,584
Following
1,493
Tweets
729.2
Avg Engagement
298
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @A_Seagull'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:2012-03-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,487
- Avg Likes per Tweet:528.1
- Avg Retweets per Tweet:201.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,487 tweetsA_Seagull's tweets receive an average of 10,000 likes and 974 retweets, indicating strong community interaction. Their content often sparks discussions and shares, especially around game updates and personal milestones.
528.1
Avg Likes/Tweet
201.1
Avg Retweets/Tweet
785,231
Total Likes
299,025
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
153
Median Likes
11
Median Retweets
722
75th Percentile
27,198
Top Tweet
5.91
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
48.4%
Original
26.8%
Replies
18.4%
Retweets
6.5%
Quotes
0.0%
Threads
0.2%
With Media
54.1%
With Links
11.0%
With #Tags
52.2%
With @Mentions
3.0%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,487 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 274 retweets (18% 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 1,487 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 followersA_Seagull's audience primarily consists of gaming enthusiasts, particularly fans of Overwatch and other competitive games. Their viewers are highly engaged, often participating in donations and alerts during major streaming events.
Average
Audience Quality
22.6%
Suspicion Index
24.5%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
20.6%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
61.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.8%
No URL
12.8%
<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.
68,608,550
Total Potential Reach
19
Median Follower Reach
73
75th Percentile Reach
2.7%
>1K followers
0.8%
>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).
57.2%
Creators
28,617 accounts
22.2%
Consumers
11,106 accounts
20.6%
Dormant
10,277 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):
403
Verified Followers
0.4% of total
10,789
Protected Accounts
10.68% 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 |
|---|---|---|---|
| @Zedd | 7,586,154 | DJ | Music, Las Vegas, Residency |
| @PlayOverwatch | 3,597,395 | Gaming | Gaming, Support, Heroes |
| @Razer | 3,437,025 | Gaming Company | Gaming, Support, Action |
| @Nadeshot | 2,971,913 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @MoistCr1TiKaL | 2,542,169 | YouTuber | Gaming, Comedy, Commentary |
| @DrDisrespect | 2,512,465 | Gamer | Video games, competition, sponsorship |
| @scump | 2,272,830 | Professional Gamer | Gaming, eSports, Partner |
| @6BillionPeople | 2,033,132 | - | - |
| @DrLupo | 1,932,717 | Streamer | Gaming, Charity, Family |
| @GameStop | 1,902,912 | Retail | Video games, Support, Retro gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,455
Followers With Bio
39,542
Followers Without Bio
60.85%
% With Bio
39.15%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,487 analyzed111,228
Combined Engagement
23,916
Total Likes
87,312
Total Retweets
22,246
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @PlayOverwatch: After nearly a decade in cryostasis, Mei wakes up to find a very different world than the one she remembers... Watch RI…
I am no longer a professional OW player. Returning to full-time streaming starting today.
RT @PlayOverwatch: Introducing Sigma - an eccentric astrophysicist who hopes to unlock the secrets of the universe, unaware that he is bein…
RT @PlayOverwatch: Party on the objective! Who's in? 🎉🎂 Join us May 23 for our #OverwatchAnniversary celebration! https://t.co/IB8XcaAH7y
RT @PlayOverwatch: Time to raise my GPA. Hit the books as Academy D․Va! Overwatch Anniversary begins on May 21! https://t.co/yLoZdchlE4
Key Insights & Takeaways
A_Seagull's transition from professional gaming to streaming highlights their adaptability and passion for content creation. Their ability to attract a massive following and generate substantial donations shows their influence and appeal. They leverage their platform to engage with fans, share updates, and promote game-related topics effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,369
- + 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 @A_Seagull reveals an well-established Twitter presence with 123,369 followers. The account demonstrates a content-creator strategy, averaging 729.2 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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