NAVI Erik
🇸🇪 Valorant coach for @NAVIValorant Business inquiries: [email protected]
15,162
Followers
1,250
Following
3,771
Tweets
373.8
Avg Engagement
88
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @d00mbr0s'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: Mid-Tier (10K+)
- Account Age:2011-06-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,211
- Avg Likes per Tweet:62.6
- Avg Retweets per Tweet:311.3
- Followers Analyzed:13,165
Engagement Analysis
Based on 3,211 tweetsHis tweets typically receive a high number of likes and some retweets, indicating a strong level of interaction and interest from his followers. The content is often relatable and sparks discussion among fans.
62.6
Avg Likes/Tweet
311.3
Avg Retweets/Tweet
200,952
Total Likes
999,447
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
25
75th Percentile
149,279
Top Tweet
24.66
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
19.5%
Original
58.1%
Replies
20.3%
Retweets
2.1%
Quotes
0.0%
Threads
0.1%
With Media
32.8%
With Links
7.4%
With #Tags
82.7%
With @Mentions
22.3%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.99
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,211 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 653 retweets (20% 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 3,211 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 13,165 followersHis audience primarily consists of Valorant players and fans interested in team strategies and behind-the-scenes content. The engagement suggests a loyal and active community that values his perspective and updates.
Average
Audience Quality
21.7%
Suspicion Index
21.7%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.6%
Empty Bio
15.8%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
63.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.7%
No URL
9.9%
<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.
42,333,888
Total Potential Reach
26
Median Follower Reach
127
75th Percentile Reach
8.5%
>1K followers
2.2%
>10K followers
0.8%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.7%
Creators
8,392 accounts
20.5%
Consumers
2,693 accounts
15.8%
Dormant
2,080 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):
263
Verified Followers
2.0% of total
1,087
Protected Accounts
8.26% 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 |
|---|---|---|---|
| @JohnCena | 14,106,622 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,305 | - | - |
| @benjyfishy | 1,872,525 | Professional Gamer | Fortnite, NRGgg, World Cup |
| @natusvincere | 736,273 | Esports Team | Esports, Gaming, Competition |
| @ShahZaMk | 482,460 | Valorant Player | Valorant, Sentinels, Gaming |
| @ChrissyCostanza | 478,059 | Musician | Music, EP, Streaming |
| @Mixwell | 428,479 | Professional Gamer | VALORANT, Gaming, Twitch |
| @ValorINTEL | 407,376 | Gaming News | esports, news, clips |
| @Slasher | 386,873 | Esports Consultant | esports, gaming, internet culture |
| @tixinhadois | 385,716 | Presenter | Esports, Gaming, Technology |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,742
Followers With Bio
4,423
Followers Without Bio
66.4%
% With Bio
33.6%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,211 analyzed547,906
Combined Engagement
0
Total Likes
547,906
Total Retweets
109,581
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @jabronirl: fresh cut https://t.co/pYzbXqHYUz
RT @DrPhil: Felt cute, might delete later. https://t.co/nm5Mqp6iMH
RT @SteveStuWill: Dad reflexes 😮 #HappyFathersDay https://t.co/6YrwPLQXyc
RT @despairprincex: i can’t stop watching this fucking video https://t.co/wcNdIjAMBs
RT @AAAAAGGHHHH: https://t.co/dGY25BmYmR
Key Insights & Takeaways
d00mbr0s often addresses team situations and player interactions, providing insight into the competitive landscape. He emphasizes the importance of unity and positivity, even in challenging circumstances. His tweets sometimes highlight broader industry issues, such as regional perceptions and team representation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,162
- + 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 @d00mbr0s reveals an well-established Twitter presence with 15,162 followers. The account demonstrates a conversation-first approach, averaging 373.8 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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