KapusoMoJessicaSoho
The official Twitter account of #KMJS. This account is managed by @GMA_PA Social Media Team and does not necessarily reflect the views of our host.
1,127,643
Followers
62
Following
43,653
Tweets
312.5
Avg Engagement
514
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KM_Jessica_Soho'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:2010-11-25
- Verification:No
- Location:Philippines
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:246.0
- Avg Retweets per Tweet:66.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account consistently receives high average likes and retweets, indicating strong audience interaction. Promotional and interactive tweets, such as giveaways and polls, drive significant engagement.
246.0
Avg Likes/Tweet
66.5
Avg Retweets/Tweet
799,398
Total Likes
216,022
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
102
Median Likes
21
Median Retweets
262
75th Percentile
42,936
Top Tweet
0.28
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
56.4%
Original
32.1%
Replies
9.6%
Retweets
1.8%
Quotes
0.0%
Threads
0.6%
With Media
81.5%
With Links
96.4%
With #Tags
10.9%
With @Mentions
12.6%
With Emojis
106
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
5.1%
Weekday Posts
94.9%
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 313 retweets (10% 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 50,000 followersThe primary audience includes K-Pop fans, entertainment enthusiasts, and general social media users interested in trending topics. The content is tailored to engage younger demographics and those interested in celebrity culture.
Below Average
Audience Quality
42.4%
Suspicion Index
60.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.6%
Empty Bio
71.5%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
86.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
55.9%
<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.
2,007,257
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.4%
>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).
12.2%
Creators
6,107 accounts
16.3%
Consumers
8,150 accounts
71.5%
Dormant
35,743 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
0.02% of total
14,798
Protected Accounts
14.8% 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 |
|---|---|---|---|
| @OccupyDemocrats | 538,008 | Political Activist | Progressive, Grassroots, Politics |
| @THE_THEO_FORD | 469,298 | - | - |
| @number_kuusysi | 267,542 | Adult entertainer | Anal, Oral, Milf |
| @Ken_tooth079 | 238,311 | Content creator | Hunting, Support, JFF |
| @wild_saigon | 112,058 | Influencer | Mama's Boy, Good Looking, Safe Sex |
| @Dionysus4u | 95,871 | Influencer | Sapiosexual, Unbothered, Busy |
| @chinitohot69 | 79,029 | Influencer | Love, Karl Raven |
| @migosaur | 67,801 | - | - |
| @paopaoqm | 64,596 | Food Blogger | Food, Fitness, Motivation |
| @budaknakal779 | 59,878 | Academic | Workout, Blogger, Model |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,413
Followers With Bio
54,587
Followers Without Bio
45.41%
% With Bio
54.59%
% 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 analyzed107,739
Combined Engagement
74,593
Total Likes
33,146
Total Retweets
21,548
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Ang mag-RT daw nito, may chance manalo ng P25,000? Bet? #KMJS
READ: Statement ng KMJS kaugnay ng kuwento ni "Bea" na nagnakaw ng milyon sa kanyang pamilya para suportahan ang kanyang K-Pop collection https://t.co/2RrmqOnxYX
Cuties ❤ #KMJS https://t.co/9x8VAd4foO
Drop your favorite K-Pop band. #KMJS
Take note. #KMJS https://t.co/KuAmFiKApB
Key Insights & Takeaways
The account uses incentives like giveaways to boost engagement and attract new followers. Interactive content such as polls and questions encourages user participation. It leverages trending topics and celebrity culture to maintain relevance and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,127,643
- + 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 @KM_Jessica_Soho reveals an well-established Twitter presence with 1,127,643 followers. The account demonstrates a content-creator strategy, averaging 312.5 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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