Ultra Envoy
CoD World Champion | [email protected]
177,752
Followers
1,368
Following
3,960
Tweets
824.9
Avg Engagement
531
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DylanEnvoy'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:2017-10-31
- Verification:No
- Location:Toronto, Ontario
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:721.8
- Avg Retweets per Tweet:103.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsDylanEnvoy's tweets receive substantial engagement, with an average of 15,836 likes and 1,588 retweets per post, indicating a highly interactive and loyal fan base.
721.8
Avg Likes/Tweet
103.1
Avg Retweets/Tweet
2,343,724
Total Likes
334,867
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
144
Median Likes
2
Median Retweets
572
75th Percentile
160,824
Top Tweet
4.64
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
40.1%
Original
52.4%
Replies
5.1%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
35.6%
With Links
8.0%
With #Tags
62.3%
With @Mentions
11.3%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.31
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 166 retweets (5% 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 3,247 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 primarily consists of gaming enthusiasts and fans of competitive titles like Call of Duty. They are likely interested in high-level gameplay and esports culture.
Average
Audience Quality
25.3%
Suspicion Index
33.0%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
32.3%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
57.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
21.9%
<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.
34,164,299
Total Potential Reach
16
Median Follower Reach
83
75th Percentile Reach
2.7%
>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).
44.4%
Creators
22,176 accounts
23.3%
Consumers
11,673 accounts
32.3%
Dormant
16,151 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):
713
Verified Followers
0.71% of total
8,846
Protected Accounts
8.76% of total
5 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 | 14,100,595 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DrDisrespect | 2,512,490 | Gamer | Video games, competition, sponsorship |
| @CouRageJD | 1,943,835 | Gamer | Gaming, Soup, Merch |
| @SHGames | 1,406,692 | Game Developers | Call of Duty, Game Makers, Lifestyle |
| @Unexplained | 1,334,050 | Paranormal Researcher | Mystery, Paranormal, Curiosity |
| @MooSnuckel | 1,238,601 | Gamer | Video games, fun, business |
| @NoahJ456 | 1,212,024 | Content Creator | Gaming, Content Creation, Esports |
| @TwitterGaming | 1,068,580 | - | - |
| @LeBronJames | 1,010,673 | - | - |
| @KontrolFreek | 899,651 | Gaming influencer | gaming, improvement, orders |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,507
Followers With Bio
42,488
Followers Without Bio
57.93%
% With Bio
42.07%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed268,984
Combined Engagement
64,649
Total Likes
204,335
Total Retweets
53,797
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @starwars: Every generation has a legend. Watch the brand-new teaser for Star Wars: #EpisodeIX. https://t.co/fWMS13ekdZ
RT @zwelklin260: I need ALL ATHLETES to watch these two professionals playing at the highest level of their sport! Look at the eye contact,…
ICE IN MY VEINSSSSS I DONT LOSE THOSE
Prince of Thieves. https://t.co/UTrPBG5Li5
Unrestricted F/A for the 2022 CDL Season.
Key Insights & Takeaways
DylanEnvoy's content often highlights personal achievements and gaming milestones, which resonate strongly with their audience. Their use of intense and dramatic language, such as 'ICE IN MY VEINSSSSS I DONT LOSE THOSE', adds a unique flair to their posts. They frequently share links to game-related content, suggesting a focus on promoting gaming experiences and community engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 177,752
- + 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 @DylanEnvoy reveals an well-established Twitter presence with 177,752 followers. The account demonstrates a conversation-first approach, averaging 824.9 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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