Buoy
the friendliest troll on twitter 🧌
15,342
Followers
67
Following
1,358
Tweets
176.6
Avg Engagement
97
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SEAbuoy'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:2021-12-04
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:968
- Avg Likes per Tweet:156.1
- Avg Retweets per Tweet:20.5
- Followers Analyzed:12,766
Engagement Analysis
Based on 968 tweetsSEAbuoy's tweets receive significant engagement, indicating a loyal and active audience. The high average likes and retweets suggest their content is well-received and shareable.
156.1
Avg Likes/Tweet
20.5
Avg Retweets/Tweet
151,144
Total Likes
19,843
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
46
Median Likes
2
Median Retweets
227
75th Percentile
3,943
Top Tweet
11.51
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
22.0%
Original
51.8%
Replies
13.6%
Retweets
12.6%
Quotes
0.0%
Threads
0.8%
With Media
44.4%
With Links
6.2%
With #Tags
72.8%
With @Mentions
41.0%
With Emojis
69
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.35
Reply/Original Ratio
0.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 968 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 132 retweets (14% 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 968 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 12,766 followersTheir audience appears to be interested in humor, casual interactions, and light-hearted content. The use of emojis and playful language suggests a younger, more casual demographic.
Good
Audience Quality
14.7%
Suspicion Index
16.3%
Low-Quality %
100
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.3%
Empty Bio
8.5%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
32.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.4%
No URL
5.3%
<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.
42,182,432
Total Potential Reach
100
Median Follower Reach
319
75th Percentile Reach
9.1%
>1K followers
1.2%
>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).
79.6%
Creators
10,163 accounts
11.9%
Consumers
1,518 accounts
8.5%
Dormant
1,085 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):
210
Verified Followers
1.64% of total
1,430
Protected Accounts
11.2% of total
9 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 | 14,106,728 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NHL | 6,830,545 | Sports Media | Hockey, Stanley Cup, Fantasy |
| @verified | 4,201,296 | - | - |
| @CBSSports | 1,376,857 | Sports Media | Sports, News, Updates |
| @OriginalFunko | 1,263,259 | Collectibles | Pop culture, collectibles, fans |
| @RexChapman | 1,254,703 | Commentator | Basketball, Horse racing, Commentary |
| @NHLNetwork | 655,539 | - | - |
| @wsdot_traffic | 522,501 | Traffic Management | Seattle, Traffic, Road hazards |
| @komonews | 475,283 | News Outlet | news, traffic, weather |
| @Moreno | 429,892 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,277
Followers With Bio
3,489
Followers Without Bio
72.67%
% With Bio
27.33%
% 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 968 analyzed12,850
Combined Engagement
11,857
Total Likes
993
Total Retweets
2,570
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
*literally exists* 🥱 https://t.co/T79mZgW8Td
yoohoo 👋 https://t.co/wQaPFYm1fx
SEATTLE 💙🧌 https://t.co/vfLqQOvxzE
undefeated in 2023 🔥🧌 https://t.co/AQhTWdRWc8
goodnight Seattle, I love you 💙🧌 https://t.co/GRiad1dCiB
Key Insights & Takeaways
The user is likely leveraging humor and relatability to build a following. Their top tweets include links to external content, suggesting they may promote other accounts or pages. They use emojis and casual language to create a friendly and approachable persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,342
- + 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 @SEAbuoy reveals an well-established Twitter presence with 15,342 followers. The account demonstrates a conversation-first approach, averaging 176.6 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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