wave vadeal
18 @WaveAUT @rezonayy Business Inquiries: [email protected]
325,362
Followers
1,449
Following
12,529
Tweets
325.6
Avg Engagement
162
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VadealFN'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:2020-01-19
- Verification:No
- Location:Germany
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:312.8
- Avg Retweets per Tweet:12.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive high engagement, with an average of 7,044 likes and 269 retweets. This indicates a strong and active community around his content.
312.8
Avg Likes/Tweet
12.8
Avg Retweets/Tweet
1,016,755
Total Likes
41,540
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
116
Median Likes
0
Median Retweets
367
75th Percentile
29,082
Top Tweet
1.0
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20.9%
Original
75.4%
Replies
3.1%
Retweets
0.6%
Quotes
0.0%
Threads
0.1%
With Media
19.0%
With Links
1.8%
With #Tags
79.4%
With @Mentions
7.4%
With Emojis
57
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.6
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 101 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 3,250 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 primarily consists of gaming enthusiasts and streamers interested in competitive play and content creation. The audience is engaged with his tweets and interactions.
Average
Audience Quality
32.2%
Suspicion Index
40.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.1%
Empty Bio
51.1%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
71.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
34.3%
<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.
14,650,050
Total Potential Reach
4
Median Follower Reach
21
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.1%
>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).
22.7%
Creators
11,350 accounts
26.2%
Consumers
13,109 accounts
51.1%
Dormant
25,541 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):
226
Verified Followers
0.23% of total
5,044
Protected Accounts
5.04% of total
2 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 | 14,103,230 | Wrestler | Wrestling, Motivation, Self-promotion |
| @imanthonyreeves | 1,710,660 | Influencer | sad, lost, anthony |
| @rewinside | 1,444,344 | Content Creator | Gaming, Comedy, Entertainment |
| @LeBronJames | 1,010,714 | - | - |
| @aquaa | 699,099 | Professional Gamer | Fortnite, Competitive Gaming, Victory |
| @solalexasch | 678,880 | Musician | Music, Travel, Tattoos |
| @JeltyTV | 645,551 | Gamer | Fortnite, eSports, YouTube |
| @EliasN97 | 356,106 | Gaming Influencer | GOTY 2021, Gaming, Esports |
| @noahreyli | 344,118 | Professional Gamer | Fortnite, Cash Cups, DreamHack |
| @RRRIZART | 327,188 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,076
Followers With Bio
44,924
Followers Without Bio
55.08%
% With Bio
44.92%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed71,018
Combined Engagement
41,499
Total Likes
29,519
Total Retweets
14,204
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
1st place with my boy @JannisZFN (300.000$) GGs Everyone https://t.co/1dOhGvcR7f
RT @119PPxD: RT if you’re this old https://t.co/FZymgZPc6C
RT @Cobratate: "I never lose. I either win or learn.”
Best Controller Player 🥶 @pepoclip1 https://t.co/K8foMuDopa
18 🥳🎉💃
Key Insights & Takeaways
He frequently collaborates with other notable gamers and streamers, which boosts his visibility and engagement. His content often highlights major gaming events and achievements, which resonate well with his audience. He uses Twitter to promote his Twitch presence and engage with fans directly.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 325,362
- + 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 @VadealFN reveals an well-established Twitter presence with 325,362 followers. The account demonstrates a conversation-first approach, averaging 325.6 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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