Paolo Pangilinan
Your hottest gay boy next door 😘 E-mail at: [email protected] https://open.spotify.com/episode/53uIpwzc2WlsCASGqvkHpr?si=C0WagAHHRku_9xM0f9BO-w
200,404
Followers
884
Following
6,220
Tweets
1,158.7
Avg Engagement
48
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PaoPangs'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:2020-12-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:548.0
- Avg Retweets per Tweet:610.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,235 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction.
548.0
Avg Likes/Tweet
610.7
Avg Retweets/Tweet
1,772,790
Total Likes
1,975,596
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
51
Median Likes
2
Median Retweets
346
75th Percentile
677,408
Top Tweet
5.78
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
41.1%
Original
37.6%
Replies
11.3%
Retweets
10.0%
Quotes
0.0%
Threads
0.9%
With Media
32.0%
With Links
6.5%
With #Tags
47.7%
With @Mentions
20.8%
With Emojis
58
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.91
Reply/Original Ratio
0.88
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 366 retweets (11% 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 3,235 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 followersHis audience appears to be interested in personal stories, humor, and casual interactions.
Below Average
Audience Quality
35.5%
Suspicion Index
45.2%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.5%
Empty Bio
47.7%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
77.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
33.8%
<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.
10,705,292
Total Potential Reach
10
Median Follower Reach
46
75th Percentile Reach
2.0%
>1K followers
0.3%
>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).
29.8%
Creators
14,885 accounts
22.6%
Consumers
11,277 accounts
47.7%
Dormant
23,838 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):
33
Verified Followers
0.03% of total
18,975
Protected Accounts
18.79% 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 |
|---|---|---|---|
| @gagadaily | 545,329 | Fan site | Music, Lady Gaga, Fan community |
| @THE_THEO_FORD | 469,556 | - | - |
| @_YourMilkerCebu | 403,805 | - | - |
| @rhabah | 394,614 | Content Creator | Content creation, Asian/Latino, Gemini |
| @zeth_naz | 335,759 | Influencer | LGBTQ+, self-care, kindness |
| @jaidaehall | 293,125 | Drag Queen | Drag, Beauty, Fine Arts |
| @jjj_daks | 293,123 | Adult entertainer | movies, cuddles, dates |
| @28_nonn | 285,267 | Swinger | Swing, Acro, Acrobatics |
| @BigDigManila | 254,067 | Influencer | dimsum, paella, sinigang |
| @Juzshua | 250,572 | Influencer | Sponsorship, Endorsement, Collaboration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,800
Followers With Bio
51,191
Followers Without Bio
49.31%
% With Bio
50.69%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,235 analyzed1,148,987
Combined Engagement
0
Total Likes
1,148,987
Total Retweets
229,797
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @rihanna: . https://t.co/7oCnFsZH5U
RT @controlr_htp: being a fan of something without ever interacting with the fanbase https://t.co/M3fixvrh36
RT @GirlsGeneration: Girls' Generation 소녀시대 'FOREVER 1' MV https://t.co/OoNRfAEVYj #GirlsGeneration #소녀시대 #FOREVER1 https://t.co/Q807rIM…
RT @ladygaga: Folie à Deux 🃏 https://t.co/gEwSgsvpbP
Key Insights & Takeaways
He uses emojis and casual language to connect with his audience His content often includes personal reflections and humor He maintains a relatable and friendly online persona
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 200,404
- + 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 @PaoPangs reveals an exceptionally influential Twitter presence with 200,404 followers. The account demonstrates a content-creator strategy, averaging 1,158.7 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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