Daniel Failboat
Tall man in front of microphone Content Creator | Streamer
110,056
Followers
2,258
Following
25,833
Tweets
582.2
Avg Engagement
178
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Failboat103'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:2009-04-28
- Verification:No
- Location:Email:DanielFailboat@gmail.com
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:539.2
- Avg Retweets per Tweet:43.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,184 tweetsTheir tweets receive high engagement, with an average of 20,212 likes and 2,302 retweets, indicating a highly interactive and loyal fan base.
539.2
Avg Likes/Tweet
43.0
Avg Retweets/Tweet
1,716,938
Total Likes
136,886
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
128
Median Likes
1
Median Retweets
571
75th Percentile
38,912
Top Tweet
5.29
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
19.2%
Original
68.2%
Replies
5.9%
Retweets
6.6%
Quotes
0.0%
Threads
0.7%
With Media
31.2%
With Links
1.6%
With #Tags
69.8%
With @Mentions
6.8%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.55
Reply/Original Ratio
1.12
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 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 189 retweets (6% 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 3,184 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 10,000 followersTheir audience is likely interested in gaming, especially Pokémon, and enjoys content that is both entertaining and insightful.
Average
Audience Quality
24.7%
Suspicion Index
23.8%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
29.8%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
66.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
19.4%
<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.
5,096,407
Total Potential Reach
10
Median Follower Reach
42
75th Percentile Reach
1.5%
>1K followers
0.4%
>10K followers
0.1%
>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).
45.8%
Creators
4,580 accounts
24.4%
Consumers
2,445 accounts
29.8%
Dormant
2,975 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):
17
Verified Followers
0.17% of total
897
Protected Accounts
8.97% 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 |
|---|---|---|---|
| @JaidenAnimation | 1,699,101 | Animator | Animation, Comedy, Storytelling |
| @CDawgVA | 896,015 | Voice Actor | Voice Acting, YouTube, Streaming |
| @SlimJim | 512,401 | Snack Influencer | meat, long boi, champions |
| @CircleToonsHD | 162,608 | Animator | Animation, Comedy, Internet |
| @ProJared | 149,365 | YouTuber | retro games, RPGs, Final Fantasy |
| @RinRinYikes | 92,621 | Streamer | Gaming, Streaming, Content Creation |
| @cursedkief | 59,804 | - | - |
| @nephyrus | 53,916 | Artist | art, gaming, alt |
| @Once11h | 48,656 | Illustrator | Illustration, Hobbyist, Art |
| @Moxie2D | 43,153 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,178
Followers With Bio
2,822
Followers Without Bio
71.78%
% With Bio
28.22%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,184 analyzed148,507
Combined Engagement
133,481
Total Likes
15,026
Total Retweets
29,701
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Whoever made this new pokemon fuser needs a close eye kept on them 💀 https://t.co/BEfWMnWNfg
People starting to get real bored in these waiting room lobbies 💀 https://t.co/gwzrkxHNke
Real talk I love that Kirby has all these cool end of level goals now https://t.co/81xG7umNMJ
god im excited for this animal crossing update https://t.co/15E2HQCikW
I love how every year there's one tweet that goes like "Man... Anyone remember THIS fossil of a YouTuber??" https://t.co/eqcVnR9YU2
Key Insights & Takeaways
Their top tweets often highlight critical or humorous observations about game mechanics and content updates. They frequently engage with their audience by sharing personal opinions and reactions to game features. Their content is likely tailored to fans of specific games, particularly Pokémon, and includes a mix of critique and appreciation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,056
- + 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 @Failboat103 reveals an well-established Twitter presence with 110,056 followers. The account demonstrates a conversation-first approach, averaging 582.2 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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