G2 ShahZaM
Professional Valorant for @G2VALORANT | https://www.facebook.com/unsupportedbrowser | https://www.youtube.com/ShahZaMk | Inquiries: shahzamcsgo@gmail.com
474,889
Followers
1,402
Following
9,374
Tweets
2,214.9
Avg Engagement
827
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ShahZaMk'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:2011-10-14
- Verification:No
- Location:jk
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:1,105.0
- Avg Retweets per Tweet:1,109.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsHis tweets receive high engagement with an average of 40,817 likes and 1,963 retweets. The content is often emotionally charged and relatable.
1,105.0
Avg Likes/Tweet
1,109.9
Avg Retweets/Tweet
3,581,225
Total Likes
3,597,130
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
1
Median Retweets
272
75th Percentile
1,946,366
Top Tweet
4.66
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
50.6%
Original
34.9%
Replies
12.2%
Retweets
2.2%
Quotes
0.0%
Threads
0.1%
With Media
33.0%
With Links
6.2%
With #Tags
63.1%
With @Mentions
23.9%
With Emojis
63
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.18
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 3,241 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 397 retweets (12% 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 3,241 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 includes fans of Valorant, gaming enthusiasts, and potential sponsors or collaborators. The audience is primarily interested in competitive gaming and team achievements.
Average
Audience Quality
32.4%
Suspicion Index
42.7%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.8%
Empty Bio
47.9%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
34.6%
<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.
28,497,049
Total Potential Reach
4
Median Follower Reach
21
75th Percentile Reach
1.2%
>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).
27.8%
Creators
13,901 accounts
24.3%
Consumers
12,142 accounts
47.9%
Dormant
23,957 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):
331
Verified Followers
0.33% of total
12,218
Protected Accounts
12.1% 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 |
|---|---|---|---|
| @JohnCena | 14,104,910 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DisguisedToast | 1,661,836 | Gamer | Gaming, Streaming, Content Creation |
| @G2esports | 1,573,911 | Esports Team | esports, org, G2ARMY |
| @LaplusDarknesss | 962,916 | Virtual YouTuber | Hololive, HoloX, Earth |
| @cinnannoe | 904,910 | Cosplayer | Cosplay, Twitch, Plushies |
| @G2NiKo | 620,350 | - | - |
| @russotalks | 603,999 | YouTuber | Roblox, YouTube, Dad |
| @IamMzilikazi | 546,413 | Musician | Pan-African music, Album, Rise |
| @qtcinderella | 537,865 | - | - |
| @G2LeTsHe | 493,452 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,626
Followers With Bio
47,373
Followers Without Bio
53.1%
% With Bio
46.9%
% 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 3,241 analyzed2,760,470
Combined Engagement
0
Total Likes
2,760,470
Total Retweets
552,094
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @GameOfThrones: The trailer is here. #GameofThrones https://t.co/L48jOwsUzn
RT @Kaepernick7: Believe in something. Even if it means sacrificing everything. #JustDoIt https://t.co/x5TnU7Z51i
RT @NASAMoon: HA HA HA I’ve blocked the Sun! Make way for the Moon. #SolarEclipse2017 https://t.co/nZCoqBlSTe
RT @starwars: Watch the new trailer for Star Wars: #TheLastJedi and see it in theaters December 15. Get your tickets now: https://t.co/6vE5…
Key Insights & Takeaways
He frequently shares emotional and prideful messages about team victories His content is highly engaging and personal, reflecting his role as a team representative He uses Twitter to connect with fans and promote his team and personal brand
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 474,889
- + 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 @ShahZaMk reveals an exceptionally influential Twitter presence with 474,889 followers. The account demonstrates a content-creator strategy, averaging 2,214.9 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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