Jesper "Zven" Svenningsen
SupportKING for ?
149,023
Followers
719
Following
2,625
Tweets
705.8
Avg Engagement
651
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Zven'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:2013-09-20
- Verification:No
- Location:Denmark / Los Angeles
Data Summary
- Tweets Analyzed:2,537
- Avg Likes per Tweet:646.7
- Avg Retweets per Tweet:59.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,537 tweetsZven's tweets receive a high number of likes and retweets, showing strong audience interaction. His content is likely to be shared widely within the gaming community.
646.7
Avg Likes/Tweet
59.1
Avg Retweets/Tweet
1,640,609
Total Likes
150,018
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
123
Median Likes
5
Median Retweets
496
75th Percentile
18,693
Top Tweet
4.74
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
38.8%
Original
46.4%
Replies
12.7%
Retweets
2.2%
Quotes
0.0%
Threads
0.1%
With Media
21.6%
With Links
6.1%
With #Tags
65.0%
With @Mentions
8.0%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.2
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.7%
Weekday Posts
36.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,537 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 321 retweets (13% 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 2,537 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 followers are likely gaming enthusiasts, especially those interested in competitive gaming and esports. The audience seems to be active and engaged with his content.
Average
Audience Quality
26.9%
Suspicion Index
30.7%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
27.6%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
17.6%
<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.
42,687,218
Total Potential Reach
11
Median Follower Reach
45
75th Percentile Reach
1.6%
>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).
47.4%
Creators
23,695 accounts
25.0%
Consumers
12,496 accounts
27.6%
Dormant
13,809 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):
261
Verified Followers
0.26% of total
10,211
Protected Accounts
10.21% 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 | 14,101,605 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Ninja | 6,674,604 | Gamer | video games, business |
| @LeagueOfLegends | 5,260,288 | Gaming | Gaming, Support, Download |
| @sapnap | 3,439,138 | YouTuber | Gaming, YouTube, Content creation |
| @Nadeshot | 2,971,959 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @LoLUKN | 1,849,175 | Gaming | Gaming, Esports, Community |
| @Cloud9 | 1,227,322 | Esports | Esports, Gaming, Competition |
| @Kammeto | 955,589 | Gamer | Gaming, Esports, Content creation |
| @LogitechG | 884,266 | Tech Company | Gaming, Technology, Innovation |
| @fuslie | 860,425 | Streamer | gaming, streaming, content creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,313
Followers With Bio
45,687
Followers Without Bio
54.31%
% With Bio
45.69%
% 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 2,537 analyzed86,462
Combined Engagement
68,225
Total Likes
18,237
Total Retweets
17,292
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Flakked and Targamas are gonna make gumayusi keria look like noobs at msi
Me: I want a dragon Santa: be realistic son Me: I want to get out of groups with TSM Santa: what color dragon did you want again? https://t.co/QUj0D4wN2k
About time..🏆
Big announcement soon! https://t.co/v8HLX70uDY
RT @LotharHS: I guess EU has now 1 GB of free space.
Key Insights & Takeaways
Zven is likely a content creator or commentator in the gaming space, focusing on competitive scenes and events. His top tweets suggest he often makes bold predictions or announces major events in the gaming world. He has a loyal and active audience that engages heavily with his posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 149,023
- + 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 @Zven reveals an well-established Twitter presence with 149,023 followers. The account demonstrates a conversation-first approach, averaging 705.8 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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