JULIE ANNE SAN JOSE
SOMETHING — https://julieannesanjose.lnk.to/something
2,141,502
Followers
620
Following
29,775
Tweets
564.9
Avg Engagement
898
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MyJaps'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:2011-02-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:404.4
- Avg Retweets per Tweet:160.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,201 tweetsThe account maintains a high level of engagement with its followers, as evidenced by the average likes and retweets. The content is likely tailored to keep the audience interested and active.
404.4
Avg Likes/Tweet
160.5
Avg Retweets/Tweet
1,294,561
Total Likes
513,650
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
107
Median Likes
112
Median Retweets
684
75th Percentile
69,551
Top Tweet
0.26
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
28.1%
Original
10.8%
Replies
47.7%
Retweets
13.3%
Quotes
0.0%
Threads
0.9%
With Media
53.8%
With Links
49.7%
With #Tags
62.9%
With @Mentions
24.8%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 1,528 retweets (48% 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 3,201 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 audience appears to be primarily interested in entertainment, possibly Filipino pop culture, and emotional content. The use of hashtags like #MCIDingginNiyoKami and #MCIHulingHalik suggests a targeted community engagement strategy.
Below Average
Audience Quality
35.7%
Suspicion Index
49.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.9%
Empty Bio
57.4%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
74.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
43.8%
<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.
21,585,129
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.7%
>1K followers
0.1%
>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).
25.0%
Creators
12,510 accounts
17.6%
Consumers
8,784 accounts
57.4%
Dormant
28,706 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):
36
Verified Followers
0.04% of total
17,915
Protected Accounts
17.91% of total
2 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 | 14,105,931 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mainedcm | 6,726,778 | Actress | Acting, Hosting, Singing |
| @kuyakim_atienza | 4,110,267 | Athlete | Believer, Ironman triathlete, marathon runner |
| @Adadieee | 414,808 | Musician | music, bookings, inquiries |
| @LolaBashangMsgs | 306,390 | - | - |
| @waruj69 | 234,344 | Model | Fashion, Modeling, Sensual |
| @JamesB_65 | 178,416 | Musician | Piano, Music, Financial |
| @MrLime__ | 135,470 | Unknown | Sarcasm, Humor, Self-deprecating |
| @mynameisroce | 107,192 | Musician | Music, Travel, Food |
| @HalaghayJeff | 93,432 | Artist | GMA, Sparkle, Artist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,178
Followers With Bio
51,822
Followers Without Bio
48.18%
% With Bio
51.82%
% 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 3,201 analyzed174,042
Combined Engagement
103,124
Total Likes
70,918
Total Retweets
34,808
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
🌸💗🌸 https://t.co/ik1F6AZkTs
RT @Olympics: History. Made. Hidilyn Diaz has won the first ever gold medal for Philippines! #PHI #Gold #PHI #Gold #PHI #Gold https://t.c…
Titindig at di na muling pipikit lesgoooooo #MCIDingginNiyoKami
Muchas gracias a todos, adios <3 #MCIHulingHalik https://t.co/fJRnWQwirf
#MCISaveMariaClara https://t.co/IuBzzp0egY
Key Insights & Takeaways
The account uses emotional and romantic themes to connect with its audience. The use of hashtags indicates a focus on community and shared experiences. The high engagement suggests that the content is relatable and resonates with the followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,141,502
- + 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 @MyJaps reveals an well-established Twitter presence with 2,141,502 followers. The account demonstrates a content-creator strategy, averaging 564.9 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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