Alipay
Leading digital open platform connecting 80 million businesses with more than one billion consumers in China. For app support, call +86 571 2688 6000.
488,019
Followers
164
Following
2,342
Tweets
72.1
Avg Engagement
637
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Alipay'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: Macro Influencer (100K+)
- Account Age:2008-02-20
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:2,307
- Avg Likes per Tweet:55.5
- Avg Retweets per Tweet:16.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,307 tweetsAlipay's tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement is driven by content that highlights innovation, business support, and cultural events.
55.5
Avg Likes/Tweet
16.6
Avg Retweets/Tweet
128,074
Total Likes
38,300
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
18
75th Percentile
16,749
Top Tweet
0.15
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
56.8%
Original
15.5%
Replies
20.3%
Retweets
7.4%
Quotes
0.0%
Threads
0.6%
With Media
70.9%
With Links
46.5%
With #Tags
61.4%
With @Mentions
9.8%
With Emojis
156
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
93.2%
Weekday Posts
6.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,307 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 468 retweets (20% 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 2,307 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 primary audience includes businesses and consumers in China, particularly those interested in digital payment solutions and technological innovation. The audience is likely tech-savvy and interested in financial services.
Average
Audience Quality
25.0%
Suspicion Index
23.8%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.0%
Empty Bio
27.7%
<10 Tweets
17.3%
Mass Following (>2K)
0.0%
New (<90 days)
51.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
14.5%
<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.
14,895,120
Total Potential Reach
58
Median Follower Reach
201
75th Percentile Reach
4.7%
>1K followers
0.2%
>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).
37.3%
Creators
18,635 accounts
35.1%
Consumers
17,535 accounts
27.7%
Dormant
13,830 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):
157
Verified Followers
0.16% of total
7,205
Protected Accounts
7.21% 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 |
|---|---|---|---|
| @tkfjsrks | 605,244 | Developer | EXO, Apple Developer, Politics |
| @CryptoGemsCom | 561,046 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
| @tveitdal | 343,583 | Environmental Activist | Climate Change, Renewable Energy, Nature |
| @bridge_oracle | 249,502 | Blockchain | Blockchain, bridging, technology |
| @Element_Market | 229,062 | NFT Marketplace | NFTs, Buy, Mint |
| @SinopecNews | 186,099 | Energy Company | energy, chemical, company |
| @BatzandanJ | 143,985 | Lawyer | politics, law, academia |
| @CryptoArmy100x | 141,380 | - | - |
| @blcoktime | 138,452 | - | - |
| @sallyeaves | 136,847 | Tech Influencer | tech, education, business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,310
Followers With Bio
32,690
Followers Without Bio
67.31%
% With Bio
32.69%
% 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 2,307 analyzed42,673
Combined Engagement
24,947
Total Likes
17,726
Total Retweets
8,535
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @JackMa: I need your help to share this handbook quickly to hospitals, doctors, nurses and anyone who needs to know around the world. It…
This tea farmer from Sichuan, China, claims to have narrowed the wealth gap between him and Jack Ma by using #blockchain tech to sell his #tea harvests. https://t.co/4Qpfy2R4rR
Alipay wishes you a Happy Chinese New Year! #Alipay #AntGroup #ChineseNewYear #YearofTiger https://t.co/f9tdXWZ4Ik
We're further opening up @Alipay's platform to support the digital transformation of 40mil service providers in China. Under a 3-yr plan, we'll work w/ 50k ISVs to help service providers digitalise operations, increase efficiency and reach more customers. https://t.co/DoKmMVZli2
Did you watch the #WinterOlympics2022 in Beijing? In this #AntKast episode three Finnish Sports Technology experts shared innovations in #wintersports training and ideas on creating a modern winter sports ecosystem. Apple: https://t.co/wWMArlunpX Spotify: https://t.co/e4gPY6CWv1
Key Insights & Takeaways
The account frequently highlights innovative use cases like blockchain technology in agriculture, showing a focus on real-world applications. It emphasizes its role in supporting small businesses and digital transformation, which aligns with its broader mission. Cultural events like Chinese New Year are used to engage the audience and reinforce brand presence.
Strengths
- + Established follower base of 488,019
- + 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 @Alipay reveals an growing Twitter presence with 488,019 followers. The account demonstrates a content-creator strategy, averaging 72.1 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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