1,291,649
Followers
159
Following
5,506
Tweets
5,923.7
Avg Engagement
1,454
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @perthppe'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: Mega Influencer (1M+)
- Account Age:2017-06-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,101
- Avg Likes per Tweet:4,018.4
- Avg Retweets per Tweet:1,905.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,101 tweetsPerthppe's tweets receive an average of 36,638 likes and 13,783 retweets, indicating strong audience interaction. Their top tweets often go viral, showing high engagement with emotional and nostalgic messages.
4,018.4
Avg Likes/Tweet
1,905.3
Avg Retweets/Tweet
12,461,190
Total Likes
5,908,282
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1,223
Median Retweets
8,846
75th Percentile
83,659
Top Tweet
4.59
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
24.3%
Original
18.6%
Replies
55.0%
Retweets
2.1%
Quotes
0.0%
Threads
0.1%
With Media
41.9%
With Links
62.2%
With #Tags
74.8%
With @Mentions
56.9%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,101 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 1,705 retweets (55% 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 3,101 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 appears to be primarily Thai, with a focus on younger demographics interested in personal stories and emotional content. They are likely fans of the KDPPE hashtag and related themes.
Below Average
Audience Quality
39.4%
Suspicion Index
56.1%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.6%
Empty Bio
60.1%
<10 Tweets
0.5%
Mass Following (>2K)
0.0%
New (<90 days)
86.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.1%
No URL
48.7%
<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.
2,213,887
Total Potential Reach
0
Median Follower Reach
3
75th Percentile Reach
0.5%
>1K followers
0.0%
>10K followers
0.0%
>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).
22.0%
Creators
11,016 accounts
17.9%
Consumers
8,925 accounts
60.1%
Dormant
30,059 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):
30
Verified Followers
0.03% of total
16,944
Protected Accounts
16.94% of total
1 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 |
|---|---|---|---|
| @SivakornLert | 703,209 | Influencer | Weibo, IG, FB |
| @filmracha | 194,640 | Actor | GMM TV, Instagram, Movies |
| @_Queen_nq | 103,767 | Influencer | Fashion, Beauty, Lifestyle |
| @JaneJi1212 | 86,597 | Promoter | Promotion, Retweets, Chat |
| @Thaya_korn | 69,938 | Artist | Dragon, Grateful, Followers |
| @capitalfluke | 60,254 | Influencer | acting, singing, dancing |
| @LucaBet_123Plus | 51,509 | Gambler | slots, casino, secure |
| @iiitoei | 43,926 | Influencer | Tech, Innovation, Photography |
| @Joe_kannapich | 43,029 | Influencer | Contact, Instagram, Joe |
| @kimochi686868 | 38,191 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,767
Followers With Bio
62,233
Followers Without Bio
37.77%
% With Bio
62.23%
% 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 3,101 analyzed302,787
Combined Engagement
210,032
Total Likes
92,755
Total Retweets
60,557
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
ฝากทุกคนติดตาม ในการเดินทางครั้งใหม่ของผมด้วยนะครับ ขอบคุณทุกคนที่สนับสนุนกันมาตลอด สัญญาว่าจะไม่หยุดพัฒนาตัวเองครับ ผมเชื่อว่าทุกคนจะยอมรับในการตัดสินใจของผม เเละเป็นกําลังใจให้กันต่อไปนะครับ🙏🏻🖤 https://t.co/VyqvEE3kiS
การแสดงความคิดเห็นเป็นสิทธิขั้นพื้นฐานของทุกคน ทุกคนมีสิทธิที่จะพูดและแสดงความคิดเห็น ไม่ควรมีใครถูกคุกคามเพราะอุดมการณ์ที่แตกต่าง
3ปีเเล้วที่อยู่ด้วยกันมา อยากขอบคุณทุกๆคนมากๆนะครับ ที่คอยให้กลใจกันเสมอ รักมากๆ🖤🖤🙏 #KDPPE https://t.co/VtBn9Bw03e
ขอให้ทุกคนปลอดภัยนะครับ✌
ตอนเด็กเรียบร้อย!! #KDPPE https://t.co/XVuOJXrYEg
Key Insights & Takeaways
The user frequently shares personal gratitude and appreciation, which resonates well with their audience. Their content often includes nostalgic and sentimental themes, which drive engagement. They use the KDPPE hashtag consistently, likely building a community around this identifier.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,291,649
- + 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 @perthppe reveals an exceptionally influential Twitter presence with 1,291,649 followers. The account demonstrates a content-creator strategy, averaging 5,923.7 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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