WOODY
WOODYTALK
3,320,610
Followers
1,149
Following
21,080
Tweets
1,936.7
Avg Engagement
3,457
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Woodytalk'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:2009-02-22
- Verification:No
- Location:Bangkok
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:675.3
- Avg Retweets per Tweet:1,261.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsWoodytalk's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and often shared across platforms.
675.3
Avg Likes/Tweet
1,261.4
Avg Retweets/Tweet
2,192,698
Total Likes
4,095,624
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
56
Median Likes
10
Median Retweets
296
75th Percentile
1,422,946
Top Tweet
0.58
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
65.5%
Original
25.9%
Replies
4.3%
Retweets
4.3%
Quotes
0.0%
Threads
0.6%
With Media
59.3%
With Links
46.4%
With #Tags
39.5%
With @Mentions
25.9%
With Emojis
112
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.98
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 141 retweets (4% 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 3,247 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 Thai fans interested in entertainment, celebrities, and lifestyle content. They are highly engaged and often interact with Woodytalk's posts.
Below Average
Audience Quality
43.0%
Suspicion Index
68.6%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.7%
Empty Bio
70.5%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
83.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.9%
No URL
61.5%
<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.
8,203,234
Total Potential Reach
0
Median Follower Reach
3
75th Percentile Reach
0.8%
>1K followers
0.1%
>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).
17.5%
Creators
8,744 accounts
12.0%
Consumers
5,990 accounts
70.5%
Dormant
35,266 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):
59
Verified Followers
0.06% of total
6,106
Protected Accounts
6.05% 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 |
|---|---|---|---|
| @lee_thanat | 1,362,745 | Entertainment | GMM TV, Acting, Entertainment |
| @BarcodeTin | 646,404 | Artist | coding, technology, art |
| @usnttr | 517,683 | Streamer | Gaming, Streaming, Fitness |
| @EWaraha | 506,340 | Beauty Queen | Beauty pageants, modeling, Thailand |
| @WarrenWhitlock | 479,106 | Entrepreneur | blockchain, AI, digitalmarketing |
| @ausanee_pohom | 358,852 | - | - |
| @CheerNy14 | 335,046 | Cheerleader | Dancing, Traveling, Fashion |
| @Thavisin | 301,728 | CEO | equality, human rights, future |
| @Offchainon | 215,288 | Media Personality | News, Music, Hosting |
| @amp_pmap | 182,881 | Influencer | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
26,883
Followers With Bio
74,113
Followers Without Bio
26.62%
% With Bio
73.38%
% 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 3,247 analyzed2,020,026
Combined Engagement
0
Total Likes
2,020,026
Total Retweets
404,005
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/…
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
RT @tomhanks: https://t.co/N80c1tSSxE
RT @Sammon_scene: คนไข้มะเร็งระยะสุดท้ายคนหนึ่ง อยู่กินกับแฟนเพศเดียวกันของเขามาทั้งชีวิต เขาบอกกับแฟนของเขาว่า ถ้าเขาเข้าสู่วาระท้ายของชี…
RT @lataedekd: นี่ไม่ใช่ First Class ของการบินไทย แต่คือ.... เวียงพิงค์บัส สมบัติทัวร์ . -เบาะเดี่ยวทั้งคัน มีทีวีส่วนตัวทุกที่นั่ง -มีที่ช…
Key Insights & Takeaways
Woodytalk frequently collaborates with celebrities, which drives engagement and visibility. Their content often includes personal stories and interviews, which create a sense of connection with followers. They use hashtags effectively to promote specific posts and increase reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,320,610
- + 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 @Woodytalk reveals an exceptionally influential Twitter presence with 3,320,610 followers. The account demonstrates a content-creator strategy, averaging 1,936.7 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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