Jai Asuncion ☕️
Dream something bigger and better ✨
1,652,639
Followers
190
Following
70,347
Tweets
1,155.3
Avg Engagement
60
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jaiyieee'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:2011-06-15
- Verification:No
- Location:Makati City
Data Summary
- Tweets Analyzed:3,067
- Avg Likes per Tweet:352.5
- Avg Retweets per Tweet:802.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,067 tweetsTheir tweets receive high engagement, indicating a strong connection with followers, with likes and retweets showing consistent interaction.
352.5
Avg Likes/Tweet
802.8
Avg Retweets/Tweet
1,081,079
Total Likes
2,462,094
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
20
Median Retweets
385
75th Percentile
679,367
Top Tweet
0.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
25.8%
Original
19.2%
Replies
50.7%
Retweets
4.4%
Quotes
0.0%
Threads
0.4%
With Media
42.3%
With Links
17.1%
With #Tags
71.2%
With @Mentions
57.5%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.74
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.7%
Weekday Posts
21.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,067 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 1,554 retweets (51% 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 3,067 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 followersTheir followers likely seek inspiration and emotional connection, with a mix of younger and older demographics interested in self-improvement and heartfelt content.
Below Average
Audience Quality
43.1%
Suspicion Index
62.0%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.5%
Empty Bio
74.2%
<10 Tweets
1.0%
Mass Following (>2K)
0.0%
New (<90 days)
85.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
58.4%
<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.
1,746,777
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.3%
>1K followers
0.0%
>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).
10.5%
Creators
5,241 accounts
15.4%
Consumers
7,679 accounts
74.2%
Dormant
37,080 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):
13
Verified Followers
0.01% of total
14,045
Protected Accounts
14.04% 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 |
|---|---|---|---|
| @Mhmzxc2032 | 209,337 | Poet | Poetry, Writing, Short Stories |
| @phklasik | 197,543 | Music Blogger | OPM, Resource, Philippines |
| @Superherologist | 105,803 | Psychologist | Batman, Psychology, Superheroes |
| @mdnyt97 | 73,719 | Esports Commentator | Esports, Shoutcasting, Analysis |
| @Raed_Nour2014 | 67,975 | Activist | Sudanese, Identity, Independent |
| @basketbllnews | 51,270 | Sports Journalist | Basketball, News, Coverage |
| @hotnessMary | 45,694 | Entrepreneur | Fashion, Beauty, Lifestyle |
| @SFOUK_AL_SHEIKH | 36,884 | - | - |
| @joshoiril | 36,562 | - | - |
| @papa_dar13 | 30,090 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,781
Followers With Bio
54,219
Followers Without Bio
45.78%
% With Bio
54.22%
% 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 3,067 analyzed1,470,561
Combined Engagement
0
Total Likes
1,470,561
Total Retweets
294,112
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BTS_twt: My love Happy birthday bro. #홉필름 #애기태형 #HappyBirthdayTaehyung #태형생일ᄎᄏ https://t.co/a03AJKZT0T
RT @nickjr: So about that time Steve went off to college… #BluesClues25 https://t.co/O8NOM2eRjy
RT @Happydog___: This dog just gave birth to 2 puppies , this is her proud face ❤🥰 https://t.co/XmPXP2cdhJ
RT @krungy21: Hey Coachella~!!! Who's the best? 💪🏼⭐️ https://t.co/Plwbz4uwY8
RT @krungy21: 2NE1 at #coachella ♥️♠️ https://t.co/3zIrWINElP
Key Insights & Takeaways
High follower count suggests a strong online presence and influence. Content often includes emotional and personal messages, which drive engagement. Use of personal stories and interactions with other users helps build a loyal community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,652,639
- + 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 @jaiyieee reveals an exceptionally influential Twitter presence with 1,652,639 followers. The account demonstrates a content-creator strategy, averaging 1,155.3 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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