Kylie Brakeman
Comedian actor tv writer president of the United States reps: WME, brillstein podcast: @aoaoaoapod
196,089
Followers
1,344
Following
5,724
Tweets
3,591.9
Avg Engagement
683
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @deadeyebrakeman'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:2013-07-26
- Verification:No
- Location:New York
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:2,435.6
- Avg Retweets per Tweet:1,156.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,146 tweetsThe account has high engagement rates, with an average of 236,838 likes and 33,316 retweets per tweet, indicating a highly interactive and loyal following.
2,435.6
Avg Likes/Tweet
1,156.3
Avg Retweets/Tweet
7,662,318
Total Likes
3,637,870
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
63
Median Likes
5
Median Retweets
1,011
75th Percentile
559,844
Top Tweet
18.32
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
28.3%
Original
49.4%
Replies
18.2%
Retweets
4.0%
Quotes
0.0%
Threads
0.3%
With Media
27.9%
With Links
1.1%
With #Tags
51.3%
With @Mentions
4.5%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.74
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 574 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 3,146 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 appears to be interested in comedy, pop culture, and current affairs. They engage with content that is both entertaining and intellectually stimulating.
Good
Audience Quality
18.0%
Suspicion Index
18.7%
Low-Quality %
98
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.2%
Empty Bio
11.2%
<10 Tweets
15.8%
Mass Following (>2K)
0.0%
New (<90 days)
39.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.0%
No URL
7.2%
<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.
119,943,225
Total Potential Reach
98
Median Follower Reach
306
75th Percentile Reach
9.6%
>1K followers
1.6%
>10K followers
0.5%
>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).
76.3%
Creators
38,172 accounts
12.5%
Consumers
6,242 accounts
11.2%
Dormant
5,586 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):
436
Verified Followers
0.43% of total
16,406
Protected Accounts
16.24% 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 | 14,099,509 | Wrestler | Wrestling, Motivation, Self-promotion |
| @funnyordie | 12,878,348 | Comedy | Comedy, Entertainment, Humor |
| @jimmykimmel | 11,646,842 | Comedian | Comedy, TV, Bowling |
| @BenStiller | 5,614,764 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @pattonoswalt | 4,668,809 | Comedian | comedy, acting, podcasting |
| @GemmaAnneStyles | 3,851,360 | Writer | writing, podcasting, mental health |
| @kathygriffin | 2,023,275 | Comedian | Comedy, Awards, Author |
| @LakshmiManchu | 1,644,300 | Entertainer | Mother, Actor, Philanthropist |
| @SmoshIan | 1,620,294 | Author | Fatherhood, Author, Comedy |
| @LeonKrauze | 1,584,283 | Journalist | TV, Journalism, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,985
Followers With Bio
30,011
Followers Without Bio
70.28%
% With Bio
29.72%
% 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 3,146 analyzed1,949,686
Combined Engagement
1,165,276
Total Likes
784,410
Total Retweets
389,937
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
why I won’t wear a mask https://t.co/CyiKIgWuwF
I will be honest with you guys I have no idea how big an acre is
RT @baileyiriss: if ur not livid ur on the wrong side https://t.co/svv8Uhu01Y
How soon before BeReal is used as an alibi in a court of law
RT @DannyDeVito: Supreme Court my ass
Key Insights & Takeaways
The content often blends humor with social commentary, making it relatable and shareable. The account's verified status and professional affiliations suggest a level of credibility and influence. The use of personal anecdotes and questions sparks curiosity and encourages audience interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 196,089
- + 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 @deadeyebrakeman reveals an exceptionally influential Twitter presence with 196,089 followers. The account demonstrates a conversation-first approach, averaging 3,591.9 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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