Liu Yongfeng
Minister(公使), Department of West Asian and North African Affairs, Ministry of Foreign Affairs, China @MFA_China Rts≠endorsement
22865
Followers
2657
Following
7901
Tweets
46,6
Avg Engagement
70
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @liupheonix'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:2022-04-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3222
- Avg Likes per Tweet:27,5
- Avg Retweets per Tweet:19,1
- Followers Analyzed:15913
Engagement Analysis
Based on 3222 tweetsThe account has a consistent engagement rate with average likes and retweets, indicating a steady but not highly interactive audience. The content is well-received but not viral.
27,5
Avg Likes/Tweet
19,1
Avg Retweets/Tweet
88564
Total Likes
61462
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
49
75th Percentile
2724
Top Tweet
2,04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20,1%
Original
50,0%
Replies
26,4%
Retweets
3,4%
Quotes
0,0%
Threads
3,1%
With Media
49,4%
With Links
27,2%
With #Tags
73,1%
With @Mentions
35,4%
With Emojis
123
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2,48
Reply/Original Ratio
0,13
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73,6%
Weekday Posts
26,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3222 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 850 retweets (26% 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 3222 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 15913 followersThe audience likely includes diplomats, policy makers, and international relations enthusiasts. They are interested in China's foreign policy and global affairs.
Average
Audience Quality
25,9%
Suspicion Index
23,6%
Low-Quality %
137
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34,6%
Empty Bio
20,8%
<10 Tweets
33,5%
Mass Following (>2K)
0,0%
New (<90 days)
42,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,2%
No URL
12,5%
<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.
55511229
Total Potential Reach
137
Median Follower Reach
539
75th Percentile Reach
16,5%
>1K followers
3,3%
>10K followers
0,8%
>50K followers
0,4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56,4%
Creators
8982 accounts
22,8%
Consumers
3628 accounts
20,8%
Dormant
3303 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):
118
Verified Followers
0.74% of total
1078
Protected Accounts
6.77% of total
3 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 |
|---|---|---|---|
| @JohnCena | 14106732 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201305 | - | - |
| @zlj517 | 2001974 | Spokesman | Geopolitics, Diplomacy, Communication |
| @LeBronJames | 1006958 | - | - |
| @Declaracion | 904792 | - | - |
| @Haqeeqat_TV | 869050 | Media Personality | Pakistan, YouTube, News |
| @Eastern_RT | 783339 | News Outlet | News, Alerts, Exclusive |
| @Echinanews | 626470 | News Outlet | ChinaTravel, ChinaTech, ChinaBiz |
| @Reflog_18 | 535368 | - | - |
| @CNS1952 | 477435 | News Agency | News, China, International Relations |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10400
Followers With Bio
5513
Followers Without Bio
65.36%
% With Bio
34.64%
% 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 3222 analyzed10364
Combined Engagement
2343
Total Likes
8021
Total Retweets
2073
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
Happy Chinese Lunar New Year!!! https://t.co/f3A1yW4g7M
RT @chenweihua: Can’t leave Belgrade without paying tribute to Chinese journalists and diplomats killed by NATO missile bombing of then Chinese embassy to the former Yugoslavia on May 7, 1999. Condemn the barbaric war machine NATO. https://t.co/4CEPdn6bWS
RT @AndyBxxx: DEBUNK: There have been a few Western media reports claiming China's COVID situation is dire, with fever clinics overflowing and people dying left and right. Let's go take a look together! ⚠️PLEASE RE-TWEET https://t.co/0fqxMG0w9b
RT @XiomaraCastroZ: He instruido al Canciller Eduardo Reina, para que gestione la apertura de relaciones oficiales con la República Popular China, como muestra de mi determinación para cumplir el Plan de Gobierno y expandir las fronteras con libertad en el concierto de las nacion
RT @ErikSolheim: The countries at the top want you to think the countries at the bottom are to blame for climate change. North Americas historic emissions per person are moe than 25 those of India 🇮🇳and 8 times those of China 🇨🇳. https://t.co/vB635CdAqN
Key Insights & Takeaways
The account frequently promotes Chinese cultural events and films, which may be used to enhance soft power. It emphasizes diplomatic statements and international issues, reflecting its official nature. The use of verified accounts and official hashtags reinforces credibility and authority.
Strengths
- + Established follower base of 22865
- + 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 @liupheonix reveals an growing Twitter presence with 22865 followers. The account demonstrates a conversation-first approach, averaging 46,6 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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