sio
business- Justin@xset.com
235,201
Followers
627
Following
18,976
Tweets
1,369.3
Avg Engagement
138
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @demisxxual'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:2013-05-03
- Verification:Yes
- Location:f3
Data Summary
- Tweets Analyzed:581
- Avg Likes per Tweet:1,345.4
- Avg Retweets per Tweet:23.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 581 tweetsDemisxxual's tweets receive an average of 16,477 likes and 268 retweets, showing strong engagement. Their content is likely shared widely, contributing to their large follower base.
1,345.4
Avg Likes/Tweet
23.9
Avg Retweets/Tweet
781,683
Total Likes
13,906
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
214
Median Likes
6
Median Retweets
1,171
75th Percentile
33,622
Top Tweet
5.82
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
58.7%
Original
37.9%
Replies
2.8%
Retweets
0.7%
Quotes
0.0%
Threads
0.2%
With Media
50.8%
With Links
1.9%
With #Tags
39.1%
With @Mentions
16.5%
With Emojis
48
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.1%
Weekday Posts
23.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 581 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 16 retweets (3% 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 581 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 lifestyle, entertainment, and possibly fashion or social media trends. They engage with content that includes humor, rizz, and swag, suggesting a younger, trend-conscious demographic.
Average
Audience Quality
29.4%
Suspicion Index
39.4%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.0%
Empty Bio
34.5%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
58.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
24.8%
<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.
28,906,211
Total Potential Reach
31
Median Follower Reach
107
75th Percentile Reach
2.9%
>1K followers
0.5%
>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).
44.5%
Creators
22,256 accounts
21.0%
Consumers
10,495 accounts
34.5%
Dormant
17,249 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):
776
Verified Followers
0.77% of total
16,139
Protected Accounts
15.98% 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 |
|---|---|---|---|
| @MrBeast | 19,427,912 | YouTuber | Philanthropy, YouTube, Charity |
| @Vikkstar123 | 3,301,538 | YouTuber | YouTube, Gaming, Business |
| @pulte | 3,247,684 | Philanthropist | Giving Money, Food, Rent |
| @FaZeBlaze | 1,764,073 | Gamer | gaming, esports, content creation |
| @LachlanYT | 1,531,493 | Gamer | Fortnite, Apparel, Gaming |
| @Censor | 1,255,992 | Fitness Influencer | Fitness, Gaming, Entrepreneurship |
| @LeBronJames | 1,006,025 | - | - |
| @ZachBoychuk | 830,514 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Clayster | 748,129 | Professional Gamer | Call of Duty, eSports, Gaming |
| @SoGrizzy | 685,140 | Comedian | comedy, entertainment, business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,806
Followers With Bio
51,192
Followers Without Bio
49.31%
% With Bio
50.69%
% 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 581 analyzed100,785
Combined Engagement
99,121
Total Likes
1,664
Total Retweets
20,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
ig saw it yesterday 😛 https://t.co/ZxAJO4PiXf
thup? (with rizz) https://t.co/7hoRfDSAyq
swag fr https://t.co/8Cq3BRYH2s
hey stink https://t.co/jCtDIlgJbi
feeling gooood https://t.co/yBo9mHSDLv
Key Insights & Takeaways
The user frequently shares links to Instagram and other social media platforms, indicating a focus on visual and lifestyle content. Their tweets often include humor and casual language, which may help build a relatable and engaging persona. The use of slang and informal phrases suggests a casual, approachable tone that resonates with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 235,201
- + 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 @demisxxual reveals an exceptionally influential Twitter presence with 235,201 followers. The account demonstrates a content-creator strategy, averaging 1,369.3 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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