533.394
Followers
3.161
Following
14.926
Tweets
2.552,5
Avg Engagement
3.754
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bryanboy'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:2007-06-26
- Verification:No
- Location:The Great Cold North
Data Summary
- Tweets Analyzed:1.730
- Avg Likes per Tweet:220,8
- Avg Retweets per Tweet:2.331,6
- Followers Analyzed:50.000
Engagement Analysis
Based on 1.730 tweetsBryanboy's tweets receive high engagement, with an average of 20,005 likes and 4,884 retweets per post. His content resonates strongly with his followers, indicating a highly active and loyal fanbase.
220,8
Avg Likes/Tweet
2.331,6
Avg Retweets/Tweet
382.060
Total Likes
4.033.719
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
4
Median Retweets
321
75th Percentile
677.901
Top Tweet
4,79
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
42,2%
Original
11,5%
Replies
32,4%
Retweets
13,9%
Quotes
0,0%
Threads
0,9%
With Media
55,8%
With Links
3,5%
With #Tags
44,0%
With @Mentions
13,8%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,27
Reply/Original Ratio
0,43
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71,4%
Weekday Posts
28,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1.730 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 560 retweets (32% 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 1.730 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 followersHis audience is primarily K-pop fans, especially those who follow Blackpink and other idol groups. The content appeals to fans looking for excitement, updates, and emotional support from fellow fans.
Average
Audience Quality
30,6%
Suspicion Index
39,9%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,5%
Empty Bio
44,9%
<10 Tweets
7,8%
Mass Following (>2K)
0,0%
New (<90 days)
62,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
89,6%
No URL
34,3%
<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.
49.063.671
Total Potential Reach
10
Median Follower Reach
85
75th Percentile Reach
3,3%
>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).
38,8%
Creators
19.385 accounts
16,3%
Consumers
8.170 accounts
44,9%
Dormant
22.445 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):
869
Verified Followers
0.86% of total
16.445
Protected Accounts
16.28% of total
5 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 |
|---|---|---|---|
| @vicegandako | 14.998.089 | Comedian | Fashion, Acting, Equestrian |
| @JohnCena | 14.105.176 | Wrestler | Wrestling, Motivation, Self-promotion |
| @chrissyteigen | 12.873.684 | - | - |
| @SenSanders | 12.445.018 | Politician | Politics, Budget, Vermont |
| @Bonang | 5.559.832 | TV Host | Fashion, Entertainment, Luxury |
| @bretmanrock | 5.537.759 | Influencer | Makeup, Fashion, Comedy |
| @lilyallen | 5.114.703 | Singer | Music, Activism, Business |
| @whoisaddison | 4.842.312 | - | - |
| @dixiedamelio | 3.955.024 | Influencer | Music, Dance, Social Media |
| @inquirerdotnet | 3.737.278 | News Outlet | News, Views, Balanced |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59.841
Followers With Bio
41.157
Followers Without Bio
59.25%
% With Bio
40.75%
% 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 1.730 analyzed1.364.005
Combined Engagement
90.564
Total Likes
1.273.441
Total Retweets
272.801
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
Mga kumare ko i love Blackpink https://t.co/wsQkD52kCV
RT @Yoda4ever: Puppy thinks he's one of them...🐶🐾🐥🐤🐥🥰 https://t.co/C7HZ7XnvYv
RT @heyyitsjanea: this teacher dressed up as cruella and had her students dress as dalmatians and i’m crying this is so cute 😭 https://t.co…
Key Insights & Takeaways
Bryanboy's content is heavily focused on Blackpink and idol culture, which drives high engagement. He frequently shares emotional and supportive messages, which resonate with his fans. His use of links suggests he may promote official content or fan-related material.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 533.394
- + 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 @bryanboy reveals an exceptionally influential Twitter presence with 533.394 followers. The account demonstrates a content-creator strategy, averaging 2.552,5 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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