Manuel L. Quezon III
Columnist .@inquirerdotnet Editor at large https://spot.ph/. Views mine.
225,440
Followers
2,836
Following
138,456
Tweets
423.9
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mlq3'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:2007-04-11
- Verification:No
- Location:Makati City
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:45.6
- Avg Retweets per Tweet:378.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsThe average engagement per tweet is high, with a significant number of likes and retweets, indicating strong audience interaction. Their tweets often spark discussions and debates.
45.6
Avg Likes/Tweet
378.3
Avg Retweets/Tweet
147,923
Total Likes
1,228,361
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
38
75th Percentile
252,923
Top Tweet
1.88
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
17.9%
Original
45.3%
Replies
23.2%
Retweets
13.6%
Quotes
0.0%
Threads
0.6%
With Media
50.9%
With Links
13.8%
With #Tags
59.2%
With @Mentions
1.6%
With Emojis
128
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.53
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.4%
Weekday Posts
17.6%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,247 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 752 retweets (23% 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 3,247 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 followersmlq3's audience includes political enthusiasts, media consumers, and individuals interested in current affairs. Their content appeals to those seeking both analysis and humor in public discourse.
Average
Audience Quality
27.0%
Suspicion Index
33.0%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.2%
Empty Bio
35.9%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
62.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
25.9%
<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.
18,323,151
Total Potential Reach
10
Median Follower Reach
76
75th Percentile Reach
2.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
45.6%
Creators
22,792 accounts
18.5%
Consumers
9,242 accounts
35.9%
Dormant
17,966 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):
138
Verified Followers
0.14% of total
20,852
Protected Accounts
20.65% of total
6 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 |
|---|---|---|---|
| @jhongsample | 3,413,350 | Actor | Dancing, Acting, Fitness |
| @VicoSotto | 2,105,448 | Politician | N/A |
| @6BillionPeople | 2,034,370 | - | - |
| @TerribleMaps | 1,807,356 | Cartographer | Maps, Humour, Business |
| @PopSci | 1,555,696 | Science communication | Science, Tech, DIY |
| @erwanheussaff | 1,518,217 | Influencer | food, travel, fitness |
| @SinghLions | 1,334,240 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,317,830 | Journalist | working, mom, journalist |
| @DiwaPh | 1,266,742 | Translator | Translation, Pandemic, Crypto4Good |
| @saabmagalona | 1,247,195 | Influencer | plastic balloons, polly pockets, spooky couches |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,847
Followers With Bio
45,140
Followers Without Bio
55.3%
% With Bio
44.7%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed564,785
Combined Engagement
0
Total Likes
564,785
Total Retweets
112,957
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @belugasong: WHAT TO DO IN A CROWD CRUSH - an informational thread in light of the Itaewon-don Seoul tragedy Even if you think this wil…
RT @NASAInSight: My power’s really low, so this may be the last image I can send. Don’t worry about me though: my time here has been both p…
RT @TerribleMaps: The “international community” https://t.co/f9iCpZwD6H
RT @GSchnakenberg: While working in our archives, I found an old metal box. Inside was a long-forgotten roll of silent 8mm film marked "The…
Key Insights & Takeaways
mlq3 uses visual storytelling to convey complex ideas effectively They blend political commentary with personal observations to create relatable content Their tweets often highlight societal issues and public figures with a critical yet engaging tone
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 225,440
- + High community engagement through conversations
- + 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 @mlq3 reveals an well-established Twitter presence with 225,440 followers. The account demonstrates a conversation-first approach, averaging 423.9 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access