PassionTimes 熱血時報
24小時綜合娛樂平台，報紙、新聞、網台、漫畫、小說、音樂、舞台劇，全方位結合，最強放送！歡迎查詢及訂閱付費平台 #PassionPrime：https://www.passiontimes.hk/prime/
77,532
Followers
35
Following
118,754
Tweets
3.4
Avg Engagement
359
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PassionTimes'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:2012-10-23
- Verification:No
- Location:Hong Kong
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:3.0
- Avg Retweets per Tweet:0.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweets平均每則推文獲得約22個喜歡和8個轉發，顯示其內容具有一定的互動性與關注度。
3.0
Avg Likes/Tweet
0.4
Avg Retweets/Tweet
9,795
Total Likes
1,242
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
4
75th Percentile
47
Top Tweet
0.04
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
97.4%
Original
1.5%
Replies
1.0%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
99.8%
With Links
3.6%
With #Tags
1.1%
With @Mentions
0.2%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 34 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 3,249 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 followers主要面向對娛樂資訊和時事新聞感興趣的群體，同時也吸引對付費內容有需求的用戶。
Average
Audience Quality
32.8%
Suspicion Index
41.5%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.5%
Empty Bio
44.2%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
70.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
33.6%
<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.
3,098,509
Total Potential Reach
8
Median Follower Reach
58
75th Percentile Reach
3.5%
>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).
35.8%
Creators
3,577 accounts
20.0%
Consumers
1,999 accounts
44.2%
Dormant
4,424 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):
22
Verified Followers
0.22% of total
1,531
Protected Accounts
15.31% of total
5 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 |
|---|---|---|---|
| @ChuBailiang | 178,756 | Journalist | China, New York Times, Reporter |
| @weiquanwang | 138,041 | Activist | human rights, legal reform, civil society |
| @Nrg8000 | 118,411 | - | - |
| @MissOllie2020 | 107,476 | Salesperson | 黄明志, 王者荣耀, 宠物 |
| @ai_xiaoming | 79,046 | Documentary Filmmaker | documentary, history, filmmaking |
| @gillianwong | 75,578 | Journalist | China, journalism, news |
| @VOAYUWEN | 73,884 | Reporter | China, Reporter, Editor |
| @ChanMacy3 | 72,561 | Sexologist | sports, literature, travel |
| @iPaulCanada | 71,361 | Tech Influencer | Tech, Canada, Freedom |
| @keionoteio | 64,292 | Traveler | Travel, Japan, Exploration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,051
Followers With Bio
4,949
Followers Without Bio
50.51%
% With Bio
49.49%
% 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 3,249 analyzed181
Combined Engagement
140
Total Likes
41
Total Retweets
36
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
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Key Insights & Takeaways
帳號內容以娛樂新聞和社會熱點為主，吸引大量追蹤者 強調多媒體整合，提供全方位娛樂資訊 透過付費平台進行內容分發，顯示商業化趨勢
Strengths
- + Established follower base of 77,532
- + 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 @PassionTimes reveals an growing Twitter presence with 77,532 followers. The account demonstrates a content-creator strategy, averaging 3.4 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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