PAULO
Actor #LinlangOnPrime
2,459,161
Followers
485
Following
8,235
Tweets
2,004.8
Avg Engagement
613
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mepauloavelino'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:2009-07-13
- Verification:No
- Location:Republic of the Philippines
Data Summary
- Tweets Analyzed:3,024
- Avg Likes per Tweet:1,726.3
- Avg Retweets per Tweet:278.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,024 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The content is well-received and often shared.
1,726.3
Avg Likes/Tweet
278.5
Avg Retweets/Tweet
5,220,393
Total Likes
842,242
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
160
Median Likes
36
Median Retweets
1,006
75th Percentile
165,554
Top Tweet
0.82
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
7.8%
Replies
33.1%
Retweets
18.0%
Quotes
0.0%
Threads
0.3%
With Media
62.1%
With Links
33.2%
With #Tags
48.0%
With @Mentions
18.7%
With Emojis
90
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,024 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 1,000 retweets (33% 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 3,024 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 is likely fans of his acting career and followers of his personal content. They are engaged and interested in his public interactions and entertainment-related posts.
Below Average
Audience Quality
37.6%
Suspicion Index
49.9%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
64.9%
<10 Tweets
0.7%
Mass Following (>2K)
0.0%
New (<90 days)
80.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
50.6%
<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.
2,735,684
Total Potential Reach
1
Median Follower Reach
8
75th Percentile Reach
0.6%
>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).
19.6%
Creators
9,813 accounts
15.5%
Consumers
7,759 accounts
64.9%
Dormant
32,428 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):
28
Verified Followers
0.03% of total
20,662
Protected Accounts
20.46% 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 |
|---|---|---|---|
| @ape_swap | 338,827 | - | - |
| @ch4knuloveyou | 195,988 | Gamer | Pro Player, Vlogger, Gamer |
| @rosekripto | 140,673 | - | - |
| @trykegutierrez | 94,192 | Entrepreneur | Esports, Gaming, Entertainment |
| @zim2918 | 81,928 | Silk Artist | Silk art, PhD, purchase |
| @KingHades05 | 77,565 | Influencer | Gaming, Sponsorship, Private Channel |
| @attygideon | 77,562 | Lawyer | Law, Education, Civic Engagement |
| @thekidwithfang | 76,646 | Unknown | Bicolano, Frozen Heart, 787 |
| @DaddyGuadalupe | 63,092 | Adult Entertainer | Kantutan, Hire, Libog |
| @Elijah_Alejo | 61,151 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,690
Followers With Bio
45,308
Followers Without Bio
55.14%
% With Bio
44.86%
% 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 3,024 analyzed640,529
Combined Engagement
439,389
Total Likes
201,140
Total Retweets
128,106
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @w0rldleadir: THIS IS WORTH A VIEWING https://t.co/T81Mkuap5C
Hooooy mga punyeta https://t.co/eVOhhG9hMW
Na Bea Alonzo ka na ba bes? 👻👻👻 #ghosting
Puro kasi kayo Pa-fall. Che! https://t.co/4waEs7oIcz
Maraming salamat! Gusto ko kayong isa isang pasalamatan pero bumabaha ng tweet timeline ko. Kiss ko nalang kayo isa isa pag tapos nitong pandemya
Key Insights & Takeaways
The account uses humor and pop culture references to engage followers Personal interactions and questions are common in tweets The content often includes links to external media or promotions
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,459,161
- + 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 @mepauloavelino reveals an exceptionally influential Twitter presence with 2,459,161 followers. The account demonstrates a content-creator strategy, averaging 2,004.8 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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