張志祺
王蟲 / 漫畫 / 廢文
78666
Followers
145
Following
1090
Tweets
767,6
Avg Engagement
66
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @shasha77_daily'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:2022-04-27
- Verification:Yes
- Location:Taiwan
Data Summary
- Tweets Analyzed:840
- Avg Likes per Tweet:745,0
- Avg Retweets per Tweet:22,5
- Followers Analyzed:50000
Engagement Analysis
Based on 840 tweets平均每則推文獲得約6,399個喜歡和372個轉發，顯示高互動率和受歡迎程度。
745,0
Avg Likes/Tweet
22,5
Avg Retweets/Tweet
625832
Total Likes
18939
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
455
Median Likes
2
Median Retweets
944
75th Percentile
9844
Top Tweet
9,76
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
67,7%
Original
31,5%
Replies
0,2%
Retweets
0,5%
Quotes
0,0%
Threads
0,0%
With Media
13,1%
With Links
0,2%
With #Tags
28,7%
With @Mentions
3,5%
With Emojis
35
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,47
Reply/Original Ratio
2,0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71,5%
Weekday Posts
28,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 840 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 2 retweets (0% 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 840 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 50000 followers主要吸引對漫畫、幽默內容及生活觀察感興趣的群體，追隨者多為年輕人。
Below Average
Audience Quality
36,7%
Suspicion Index
49,2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55,6%
Empty Bio
53,5%
<10 Tweets
7,3%
Mass Following (>2K)
0,0%
New (<90 days)
77,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,9%
No URL
42,7%
<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.
17036169
Total Potential Reach
4
Median Follower Reach
20
75th Percentile Reach
1,8%
>1K followers
0,4%
>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).
26,6%
Creators
13296 accounts
19,9%
Consumers
9935 accounts
53,5%
Dormant
26769 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):
9
Verified Followers
0.01% of total
11389
Protected Accounts
16.59% 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 |
|---|---|---|---|
| @verified | 4201305 | - | - |
| @Chaozhibai_ | 495217 | Influencer | romantic, photography, candid |
| @Monmon_tw | 341164 | Influencer | travel, Malaysia, OnlyFans |
| @gaydio_zrong | 329257 | Illustrator | BL, Yaoi, Gay |
| @Janpet12 | 325580 | Influencer | beauty, fun, sharing |
| @orz_can | 295905 | Illustrator | cute girls, fanbox, beautiful art |
| @durayray | 289408 | English Teacher | English teaching, Memes, Video games |
| @heart_m_honey | 269100 | Influencer | fitness, tv shows, anime |
| @cocopie0218 | 249690 | Cosplayer | Cosplay, Twitch streaming, Patreon |
| @Ashan_kouki | 240030 | Youtuber | Gaming, Horror, Youtuber |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33648
Followers With Bio
35004
Followers Without Bio
49.01%
% With Bio
50.99%
% 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 840 analyzed38913
Combined Engagement
36705
Total Likes
2208
Total Retweets
7783
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
昨天有個人 cos 我，然後我就： https://t.co/HE9pW0Lchg
不管發生什麼低潮，大家真的不要碰毒，剛剛一個好幾年沒見的朋友突然跟我聯繫，直覺有問題，為了確保他安全，趕快去找他，結果碰面之後發現他整個ㄎㄧㄤ掉，行為能力大概是國小生程度，記憶力也大幅退步，連呼吸走路都有問題。 (1/2)
https://t.co/NNcWNnBVWj
又有人 cos 我⋯我問號⋯ https://t.co/vetPnwrdmw
Da…Daddy…???!!!?!??!??? 今天玩得很開心，我們離開了，謝謝大家！ https://t.co/VZOe1pIc4X
Key Insights & Takeaways
帳號內容以個人經歷和觀察為主，帶有幽默與反思的風格 推文常結合生活事件與社會議題，引起共鳴 擅長用簡潔語言表達深刻觀點，吸引追隨者關注
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78666
- + 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 @shasha77_daily reveals an well-established Twitter presence with 78666 followers. The account demonstrates a content-creator strategy, averaging 767,6 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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