Jesse Lannister 🦁
Gamer/Mom/YouTube/ Influencer Boxer [email protected] *Cherokee Nation*
324,973
Followers
713
Following
65,400
Tweets
67.1
Avg Engagement
188
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ItsFangs'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:2009-06-11
- Verification:No
- Location:Texas, USA
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:66.3
- Avg Retweets per Tweet:0.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsTheir tweets receive a high number of likes and some retweets, indicating strong audience interaction. Personal and emotional content tends to drive higher engagement.
66.3
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
215,498
Total Likes
2,603
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
0
Median Retweets
38
75th Percentile
35,208
Top Tweet
0.21
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
48.8%
Original
48.4%
Replies
0.1%
Retweets
2.7%
Quotes
0.0%
Threads
0.5%
With Media
47.4%
With Links
13.1%
With #Tags
53.6%
With @Mentions
26.1%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
44.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 2 retweets (0% 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 3,248 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 includes gaming enthusiasts, YouTube viewers, and fans of personal storytelling. They are likely interested in both entertainment and emotional content.
Average
Audience Quality
31.9%
Suspicion Index
38.3%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.9%
Empty Bio
39.6%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
75.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
25.7%
<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.
61,815,906
Total Potential Reach
8
Median Follower Reach
43
75th Percentile Reach
1.9%
>1K followers
0.4%
>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).
34.8%
Creators
17,382 accounts
25.7%
Consumers
12,829 accounts
39.6%
Dormant
19,789 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):
315
Verified Followers
0.31% of total
6,440
Protected Accounts
6.38% of total
6 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 | 14,103,448 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GooglePlay | 7,552,709 | Digital Content | movies, TV, games |
| @LoganPaul | 6,808,782 | Influencer | Vlogging, Comedy, Fitness |
| @Caspar_Lee | 4,930,087 | YouTuber | comedy, vlogging, travel |
| @RiceGum | 2,622,482 | YouTuber | YouTube, Content Creator, Comedy |
| @KingBach | 2,381,862 | Actor | Comedy, Acting, YouTube |
| @scump | 2,270,901 | Professional Gamer | Gaming, eSports, Partner |
| @TmarTn | 1,685,212 | Internet Personality | Gaming, Entrepreneurship, Content Creation |
| @JustaMinx | 1,594,260 | Content Creator | Gaming, Irish culture, G Fuel |
| @British_Airways | 1,444,320 | Airline | Travel, Customer Service, Aviation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,842
Followers With Bio
57,157
Followers Without Bio
43.41%
% With Bio
56.59%
% 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 3,248 analyzed61,274
Combined Engagement
60,835
Total Likes
439
Total Retweets
12,255
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
Reunited after years!! ❤️ @KSI https://t.co/hwo1gamcpW
Happy Birthday to the guy who always has me cracking up! We miss you! @KSI https://t.co/U78mLrzkGv
The moment I opened FIFA 22 ultimate team for the first time on stream was the moment I got the call that my dad died in a car accident.. it’s hard to imagine playing it now https://t.co/V2EQTxgLpw
@dillondanis @KSI You entirely missed him and hit @WadePlem .. you couldn’t even hit him with a cup of coffee ☠️
Happy Birthday @wroetoshaw , you’ll forever be an amazing photobomb king 😂 pretty sure you are like 14 in this pic https://t.co/u7uYk2xsvw
Key Insights & Takeaways
Personal milestones and emotional stories resonate strongly with the audience Gaming and YouTube content are central to their brand and engagement Collaborations and mentions of other influencers like KSI boost visibility and interaction
Strengths
- + Established follower base of 324,973
- + 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 @ItsFangs reveals an growing Twitter presence with 324,973 followers. The account demonstrates a content-creator strategy, averaging 67.1 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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