tiller
⚠️
2,619,110
Followers
498
Following
1,839
Tweets
19,878.3
Avg Engagement
1,098
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @brysontiller'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:2009-09-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,197
- Avg Likes per Tweet:12,695.8
- Avg Retweets per Tweet:7,182.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,197 tweetsBrysontiller's tweets consistently receive high likes and retweets, indicating strong audience interaction. Their content is both relatable and shareable, driving engagement.
12,695.8
Avg Likes/Tweet
7,182.5
Avg Retweets/Tweet
15,196,875
Total Likes
8,597,440
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
437
Median Likes
462
Median Retweets
17,950
75th Percentile
733,517
Top Tweet
7.59
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
40.8%
Original
35.1%
Replies
19.5%
Retweets
4.6%
Quotes
0.0%
Threads
0.2%
With Media
33.2%
With Links
6.5%
With #Tags
61.2%
With @Mentions
23.6%
With Emojis
72
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,197 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 234 retweets (20% 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 1,197 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 followersTheir audience appears to be diverse, interested in personal growth, humor, and everyday life experiences. They likely include a broad range of age groups and interests.
Average
Audience Quality
30.8%
Suspicion Index
40.2%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.5%
Empty Bio
45.0%
<10 Tweets
3.8%
Mass Following (>2K)
0.0%
New (<90 days)
66.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
32.0%
<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.
26,850,023
Total Potential Reach
8
Median Follower Reach
37
75th Percentile Reach
1.8%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.5%
Creators
14,773 accounts
25.5%
Consumers
12,731 accounts
45.0%
Dormant
22,496 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):
379
Verified Followers
0.38% of total
13,094
Protected Accounts
12.96% of total
2 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 |
|---|---|---|---|
| @Diddy | 15,261,309 | Musician | Music, Entrepreneurship, Fashion |
| @AriMelber | 960,000 | Journalist | Legal, Politics, News |
| @PTXofficial | 883,669 | Musicians | Music, Choir, Nerds |
| @ZachBoychuk | 830,381 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @RaeSremmurd | 769,863 | Musician | Music, Entertainment, Lifestyle |
| @NeedforSpeed | 734,544 | Gaming | Racing, Gaming, Speed |
| @byrhsin | 551,877 | - | - |
| @Faullen_Angel | 540,203 | Musician | Trapsinger, Songwriter, ASCAP |
| @scotthoying | 487,248 | Musician | music, singing, acapella |
| @tarastrong | 449,376 | Voice Actress | Animation, Voice Acting, Superheroes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,186
Followers With Bio
45,812
Followers Without Bio
54.64%
% With Bio
45.36%
% 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 1,197 analyzed2,366,143
Combined Engagement
514,650
Total Likes
1,851,493
Total Retweets
473,229
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @1kingmyles: What a headline https://t.co/x8GGKL0VMc
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @souljaboy: In this world you either crank that soulja boy or it cranks you
my baby’s first lemonade stand. come get ya some 🍋🍋🍋 https://t.co/YYwGNV6hVM
reminder: changing your perspective could change your life.
Key Insights & Takeaways
Brysontiller's content often includes personal milestones and life lessons, which resonate with followers. They use humor and relatable scenarios to connect with their audience. Their tweets are concise and visually engaging, often including links to additional content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,619,110
- + 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 @brysontiller reveals an exceptionally influential Twitter presence with 2,619,110 followers. The account demonstrates a content-creator strategy, averaging 19,878.3 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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