Philippe Laflamme
24 Québécois Support @Cloud9 Agent: @AchieveMinds https://www.twitch.tv/vulcan_lol
70,069
Followers
910
Following
3,342
Tweets
852.3
Avg Engagement
290
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VulcanLoL'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:2016-06-11
- Verification:No
- Location:LA/QC
Data Summary
- Tweets Analyzed:3,167
- Avg Likes per Tweet:832.8
- Avg Retweets per Tweet:19.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,167 tweetsVulcanLoL's tweets typically receive high engagement, with an average of 14,213 likes and 909 retweets per post. His controversial and humorous style drives significant interaction.
832.8
Avg Likes/Tweet
19.5
Avg Retweets/Tweet
2,637,397
Total Likes
61,729
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
189
Median Likes
0
Median Retweets
856
75th Percentile
24,135
Top Tweet
12.16
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
28.0%
Original
62.8%
Replies
4.7%
Retweets
4.5%
Quotes
0.0%
Threads
0.1%
With Media
22.3%
With Links
4.4%
With #Tags
73.0%
With @Mentions
9.8%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.24
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.5%
Weekday Posts
34.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,167 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 150 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 3,167 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 10,000 followersHis audience primarily consists of League of Legends players who enjoy memes, humor, and commentary on the game's competitive and casual scenes. The content appeals to both casual and competitive players.
Average
Audience Quality
27.8%
Suspicion Index
34.4%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.9%
Empty Bio
32.6%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
65.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
21.8%
<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.
7,073,418
Total Potential Reach
17
Median Follower Reach
63
75th Percentile Reach
2.3%
>1K followers
0.6%
>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).
44.3%
Creators
4,429 accounts
23.1%
Consumers
2,308 accounts
32.6%
Dormant
3,263 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):
82
Verified Followers
0.82% of total
977
Protected Accounts
9.77% 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 |
|---|---|---|---|
| @DillonFrancis | 1,008,214 | Musician | Music, Comedy, EDM |
| @LeBronJames | 940,528 | - | - |
| @Trainwreckstv | 656,724 | Podcaster | Podcasting, Among Us, GFuel |
| @qtcinderella | 541,951 | - | - |
| @TheRealCoolmath | 254,598 | Gaming | Logic games, Free games, New games |
| @takeshilol1 | 236,316 | Caster | CBLOL, streams, gaming |
| @maisesportsbr | 172,303 | Esports | Esports, Portal, Acesse |
| @XheoGaming | 150,056 | Investor | Inversor, Asesor, Cripto |
| @Karnagemvp | 146,047 | Producer | Gaming, Content Creation, Music |
| @MedicCasts | 144,715 | Caster | League of Legends, Casting, Freelancing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,308
Followers With Bio
4,692
Followers Without Bio
53.08%
% With Bio
46.92%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,167 analyzed89,934
Combined Engagement
83,736
Total Likes
6,198
Total Retweets
17,987
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
League of Legends is like playing Chess except all of your pieces move on their own and tell you to kill yourself
Suck my dick EU https://t.co/zmPBHmzSKB
when there's a 7.1 earthquake in the middle of soloq https://t.co/8Ou8m96tLn
if u want full import team go buy a team in that region ?XD
Gg’s C9, they are a really good team; strong top laner, insane jungler, always reliable mid and mechanically talented adc If only they had a top tier native support to top it off!
Key Insights & Takeaways
His content often includes provocative and humorous takes on gaming culture and community behavior. He uses memes and hyperbolic scenarios to highlight frustrations and absurdities in the game. His verified status is low, suggesting a focus on organic growth and community interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,069
- + 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 @VulcanLoL reveals an well-established Twitter presence with 70,069 followers. The account demonstrates a conversation-first approach, averaging 852.3 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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