Tristan Jass
5,000,000+ Subscribers On YouTube
126,091
Followers
839
Following
7,800
Tweets
623.7
Avg Engagement
35
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TristanJass'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:2016-11-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:553.5
- Avg Retweets per Tweet:70.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,226 tweetsTristanJass's tweets consistently receive high engagement, with an average of 39,946 likes and 7,617 retweets per tweet, showing his influence and popularity.
553.5
Avg Likes/Tweet
70.2
Avg Retweets/Tweet
1,785,661
Total Likes
226,481
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
157
Median Likes
9
Median Retweets
544
75th Percentile
278,865
Top Tweet
4.95
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
65.0%
Original
19.3%
Replies
10.7%
Retweets
5.0%
Quotes
0.0%
Threads
0.1%
With Media
47.7%
With Links
2.6%
With #Tags
34.8%
With @Mentions
58.0%
With Emojis
73
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,226 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 345 retweets (11% 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 3,226 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 appears to be young and diverse, drawn to his bold and often provocative style. They engage heavily with his content, indicating a strong community around his brand.
Average
Audience Quality
31.5%
Suspicion Index
36.5%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.6%
Empty Bio
44.0%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
73.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
29.4%
<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.
37,918,345
Total Potential Reach
6
Median Follower Reach
35
75th Percentile Reach
2.0%
>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).
30.9%
Creators
15,428 accounts
25.1%
Consumers
12,557 accounts
44.0%
Dormant
22,015 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):
349
Verified Followers
0.35% of total
9,523
Protected Accounts
9.43% of total
4 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 |
|---|---|---|---|
| @Tfue | 4,139,625 | Gamer | Gaming, Streaming, Esports |
| @MiaMalkova | 3,377,895 | Adult entertainer | Nature, Instagram, Onlyfans |
| @FaZe_Rain | 3,177,613 | Gamer | Gaming, eSports, Improvement |
| @Banks | 2,810,934 | Gamer | gaming, internet, music |
| @FaZeAdapt | 2,787,715 | Influencer | adventure, uncertainty, humor |
| @RiceGum | 2,624,272 | YouTuber | YouTube, Content Creator, Comedy |
| @ShamsCharania | 2,034,446 | Sports Journalist | NBA, Insider, Writer |
| @LilBibby_ | 1,964,941 | Rapper | Music, Grade A, 999 |
| @FaZeBlaze | 1,760,947 | Gamer | gaming, esports, content creation |
| @Temperrr | 1,600,322 | Founder | Gaming, eSports, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,440
Followers With Bio
41,548
Followers Without Bio
58.86%
% With Bio
41.14%
% 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 3,226 analyzed420,577
Combined Engagement
354,372
Total Likes
66,205
Total Retweets
84,115
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Almost got arrested for dunking on a cop... 😂😂😂 https://t.co/3qLWjUGdh0
KARMA IS A B!TCH! 😭😭😭 https://t.co/v4uDA3ow9E
REST IN PEACE GIANNA... 🙏 https://t.co/0BPQUjRB73
One year seizure free! 🙏
IT’S GOTTA BE THE SHOES... 🍋🍋🍋 @_ColeBennett_ https://t.co/AI4gVtW1vK
Key Insights & Takeaways
His content often blends humor with controversy, which drives high engagement. He frequently uses emotional and provocative topics to connect with his audience. His YouTube presence likely contributes to his strong Twitter following and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126,091
- + 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 @TristanJass reveals an well-established Twitter presence with 126,091 followers. The account demonstrates a content-creator strategy, averaging 623.7 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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