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SPΓRE MEINE INFLUENZ!! Β―\_(γ)_/Β― Troublemaker, Firestarter, Problemkind, INFP-T
1,349,196
Followers
1,428
Following
33,216
Tweets
874.7
Avg Engagement
1,996
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Gronkh'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: Mega Influencer (1M+)
- Account Age:2008-11-26
- Verification:No
- Location:Impressum: grnk.link/i
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:602.3
- Avg Retweets per Tweet:272.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsGronkh's tweets receive high engagement, with an average of 12,427 likes and 358 retweets per post. Their content resonates with followers, encouraging interaction and emotional responses.
602.3
Avg Likes/Tweet
272.4
Avg Retweets/Tweet
1,956,805
Total Likes
885,083
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
200
Median Likes
2
Median Retweets
410
75th Percentile
233,483
Top Tweet
0.65
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
58.1%
Original
34.0%
Replies
2.2%
Retweets
5.7%
Quotes
0.0%
Threads
0.1%
With Media
67.4%
With Links
6.7%
With #Tags
35.4%
With @Mentions
47.3%
With Emojis
121
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
2.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 73 retweets (2% 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 3,249 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 followersGronkh's audience appears to be drawn to their unique and unpredictable style, likely including fans of creative and introspective content. Their followers seem to appreciate the blend of humor and emotional depth in their posts.
Below Average
Audience Quality
39.2%
Suspicion Index
59.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.3%
Empty Bio
65.5%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
77.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
54.1%
<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.
6,945,928
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
17.1%
Creators
8,546 accounts
17.4%
Consumers
8,711 accounts
65.5%
Dormant
32,743 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):
215
Verified Followers
0.21% of total
6,150
Protected Accounts
6.09% of total
3 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 |
|---|---|---|---|
| @Nihachu | 2,397,057 | Content Creator | Gaming, Esports, Art |
| @ShiinaBR | 1,132,221 | Gamer | Fortnite, Leaks, Epic Games |
| @ninjasexparty | 822,405 | Musicians | dicks, unicorns, music |
| @JeromeASF | 782,727 | Internet Personality | Gaming, Content Creation, Entrepreneurship |
| @CSGO500 | 501,498 | - | - |
| @G2LeTsHe | 493,652 | - | - |
| @MickyBeisenherz | 308,112 | Entertainer | Comedy, TV, Journalism |
| @nimriiya | 290,974 | - | - |
| @davenewworld_2 | 287,422 | Reporter | Racism, Reporting, Media |
| @EtienneToGo | 269,788 | Host | Gaming, Podcasting, Soccer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
40,502
Followers With Bio
60,497
Followers Without Bio
40.1%
% With Bio
59.9%
% 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 3,249 analyzed576,827
Combined Engagement
0
Total Likes
576,827
Total Retweets
115,365
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @TrungTPhan: The last three years, explained https://t.co/folDJaHy8g
RT @216doe: Iβd delete the game. https://t.co/UGqtZsuw0m
RT @thegallowboob: leaving this behind for future tenants to find and freak out https://t.co/Uo5wfHQG0Q
RT @Twitter: Twitter is about to go offline. See you soon!
RT @deanjnorris: A good reason not to cheat on your spouse, especially if you die first https://t.co/pUoDPcQ2g3
Key Insights & Takeaways
Gronkh's content often blends humor with deep emotional expression, creating a unique and engaging style. Their tweets frequently include surreal and cryptic elements, suggesting a focus on creativity and ambiguity. They engage with their audience through personal reflections and storytelling, fostering a sense of connection and intimacy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,349,196
- + 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 @Gronkh reveals an well-established Twitter presence with 1,349,196 followers. The account demonstrates a content-creator strategy, averaging 874.7 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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