LG Shiv
Apex Legends Content Creator for @Luminosity | Business email - [email protected]
250,796
Followers
1,219
Following
14,811
Tweets
340.6
Avg Engagement
497
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ShivFPS'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:2018-02-25
- Verification:No
- Location:England, United Kingdom
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:319.7
- Avg Retweets per Tweet:20.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsShivFPS's tweets typically receive high engagement, with an average of 14k likes and 1.8k retweets, highlighting their popularity. Their content is well-received, with a mix of humor and game-related posts driving interaction.
319.7
Avg Likes/Tweet
20.9
Avg Retweets/Tweet
1,039,063
Total Likes
67,856
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
65
Median Likes
1
Median Retweets
194
75th Percentile
54,669
Top Tweet
1.36
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
38.4%
Original
55.6%
Replies
0.7%
Retweets
5.3%
Quotes
0.0%
Threads
0.0%
With Media
38.9%
With Links
3.2%
With #Tags
72.8%
With @Mentions
24.9%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.45
Reply/Original Ratio
7.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
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 24 retweets (1% 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 followersThe audience primarily consists of Apex Legends players and gaming enthusiasts who follow for entertainment and updates. They engage actively with tweets, showing a loyal and responsive fanbase.
Average
Audience Quality
25.9%
Suspicion Index
32.6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.0%
Empty Bio
36.2%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.4%
No URL
25.2%
<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.
14,620,855
Total Potential Reach
11
Median Follower Reach
65
75th Percentile Reach
2.4%
>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).
41.4%
Creators
20,705 accounts
22.4%
Consumers
11,195 accounts
36.2%
Dormant
18,100 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):
547
Verified Followers
0.54% of total
11,105
Protected Accounts
11.0% 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 | 14,101,198 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hikakin | 6,508,113 | YouTuber | YouTube, SNS, Collaboration |
| @Tfue | 4,141,415 | Gamer | Gaming, Streaming, Esports |
| @NICKMERCS | 2,092,174 | Gamer | Gaming, Streaming, Esports |
| @CouRageJD | 1,942,843 | Gamer | Gaming, Soup, Merch |
| @SinghLions | 1,334,434 | Restaurateur | Food, Travel, Influencer |
| @MilesSTEREOS | 861,171 | Musician | Guitarist, Writer, Producer |
| @Sara_Hoshikawa | 818,771 | YouTuber | YouTube, gaming, singing |
| @NOH8Campaign | 801,338 | Activism | equality, bullying, discrimination |
| @unkonfined | 659,256 | Influencer | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,972
Followers With Bio
37,027
Followers Without Bio
63.34%
% With Bio
36.66%
% 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 analyzed135,160
Combined Engagement
118,460
Total Likes
16,700
Total Retweets
27,032
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
HO HO HO. Merry Shivmas!!! https://t.co/wrNdyIIJGN
ShaveFPS has returned 🤣 https://t.co/CRHLmFJYfN
LOOOOOL, LIFELINEEE!!! RESS MEEEE!! https://t.co/hqyo7HBP50
LIFELINE RES ME!!! https://t.co/IxdlaiPeU9
150k KILLS ON BANGALORE. https://t.co/l0VOY4hofO
Key Insights & Takeaways
High engagement suggests a strong connection with the audience and consistent content quality. The use of humor and game-specific references helps maintain audience interest. Collaborations or brand partnerships, like the business email, indicate potential monetization opportunities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 250,796
- + 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 @ShivFPS reveals an well-established Twitter presence with 250,796 followers. The account demonstrates a conversation-first approach, averaging 340.6 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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