Patiphan
Professional Valorant Player | Unbreakble Pillar of Talon Esports & @PlusHQs | Business inquiries: [email protected]
51,609
Followers
457
Following
1,872
Tweets
796.3
Avg Engagement
119
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsPatiphan'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:2018-09-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,849
- Avg Likes per Tweet:210.3
- Avg Retweets per Tweet:586.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,849 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often emotional and celebratory, which drives engagement.
210.3
Avg Likes/Tweet
586.0
Avg Retweets/Tweet
388,858
Total Likes
1,083,525
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
3
Median Retweets
132
75th Percentile
230,842
Top Tweet
15.43
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
29.7%
Original
37.9%
Replies
28.2%
Retweets
4.2%
Quotes
0.0%
Threads
0.1%
With Media
49.6%
With Links
11.4%
With #Tags
71.4%
With @Mentions
25.3%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.27
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,849 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 521 retweets (28% 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 1,849 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 followers are likely fans of Valorant and esports, interested in competitive gameplay and player insights. They engage with his content through likes and retweets, showing support for his career.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
100.0%
<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.
4,380,677
Total Potential Reach
11
Median Follower Reach
50
75th Percentile Reach
2.0%
>1K followers
0.4%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,932
Protected Accounts
19.32% 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 |
|---|---|---|---|
| @ValorINTEL | 451,045 | Gaming News | esports, news, clips |
| @Hiko | 428,164 | Content Creator | Gaming, Esports, Content Creation |
| @Maufinfn | 378,446 | Professional Gamer | Fortnite, Gaming, Esports |
| @plsmebabyy | 256,295 | - | - |
| @MVG_Mew2King | 212,351 | Professional Gamer | Smash Bros, Gaming, Esports |
| @ambiinya | 186,996 | - | - |
| @smthlikeyou11 | 183,263 | Gamer | Gaming, Team, Russia |
| @zekkenVAL | 143,763 | Professional Gamer | Valorant, Sentinels, YukiAim |
| @TheGuard | 79,321 | Esports | Esports, Gaming, Los Angeles |
| @EkaliMusic | 70,209 | Musician | Music, Travel, World |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,950
Followers With Bio
4,050
Followers Without Bio
59.5%
% With Bio
40.5%
% 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 1,849 analyzed551,635
Combined Engagement
0
Total Likes
551,635
Total Retweets
110,327
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BTS_twt: https://t.co/sr08h3nt7O
RT @KFC_ES: https://t.co/TnRWy8pbM4
RT @grandayy: this video will give you anxiety https://t.co/E5dwGUKWwM
RT @commonpeoplex: มีคนทำซับอังกฤษแล้วนะคะ https://t.co/UlUjKpn44k
RT @hisbread: อันนี้แบบตลกจริง จังหวะซิทคอมมาก พี่ปะเต้พี่เอกแบบเมดมายเดย์ อัดไว้ดูเวลาเครียดๆ 555555555555555555555555555555555555555555555555 https://t.co/jAgRD7gsmg
Key Insights & Takeaways
High engagement suggests a loyal and passionate fanbase Content often includes emotional and celebratory moments, which resonate with followers Frequent mentions of teams and matches indicate a focus on competitive updates and results
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,609
- + 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 @itsPatiphan reveals an well-established Twitter presence with 51,609 followers. The account demonstrates a conversation-first approach, averaging 796.3 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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