Liniers
Dibujante/Editor/Conejo
747,275
Followers
2,703
Following
50,597
Tweets
252.3
Avg Engagement
2,237
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @porliniers'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:2010-08-02
- Verification:No
- Location:Buenos Aires
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:163.1
- Avg Retweets per Tweet:89.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsTheir tweets receive a high number of likes, indicating strong audience approval. Retweets are also relatively high, showing that their content is often shared and appreciated.
163.1
Avg Likes/Tweet
89.2
Avg Retweets/Tweet
527,835
Total Likes
288,755
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
50
75th Percentile
36,955
Top Tweet
0.34
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
33.9%
Original
33.7%
Replies
28.7%
Retweets
3.7%
Quotes
0.0%
Threads
0.8%
With Media
65.4%
With Links
14.6%
With #Tags
70.4%
With @Mentions
23.5%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 930 retweets (29% 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 3,237 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 followersTheir audience likely includes fans of their artwork, followers of cultural and political discussions, and people interested in humor and social commentary. They also engage with sports and literature topics.
Average
Audience Quality
22.0%
Suspicion Index
27.4%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.6%
Empty Bio
23.2%
<10 Tweets
10.3%
Mass Following (>2K)
0.0%
New (<90 days)
47.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.7%
No URL
17.2%
<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.
55,030,800
Total Potential Reach
49
Median Follower Reach
206
75th Percentile Reach
6.8%
>1K followers
0.9%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.2%
Creators
31,113 accounts
14.6%
Consumers
7,309 accounts
23.2%
Dormant
11,578 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):
412
Verified Followers
0.41% of total
11,467
Protected Accounts
11.47% of total
8 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 |
|---|---|---|---|
| @MarceloTas | 9,130,321 | Influencer | - |
| @diegoluna_ | 2,788,443 | Actor | Mexico, Twitter, Actor |
| @alvarezrodrich | 2,170,417 | Journalist | Politics, Journalism, Peru |
| @thecliniccl | 2,159,838 | News Outlet | Reportajes, noticias, humor |
| @DCoronell | 1,818,137 | Journalist | News, Journalism, Politics |
| @Ricamconsult | 1,508,402 | Economista | Economia, Humor, Influência |
| @SinghLions | 1,335,024 | Restaurateur | Food, Travel, Influencer |
| @Primicias | 1,211,294 | Media | - |
| @anamariasimon | 1,144,058 | Actriz | Actriz, Peaceaholic, Presentadora |
| @ReporteYa | 1,090,893 | Journalist | Periodismo Ciudadano, Alfabetización Digital, Redes Sociales |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,101
Followers With Bio
35,899
Followers Without Bio
64.1%
% With Bio
35.9%
% 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 3,237 analyzed158,886
Combined Engagement
115,056
Total Likes
43,830
Total Retweets
31,777
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Tendré mis diferencias con Nik pero estoy de acuerdo con él en que la expresión “Sabemos a que escuela van tus hijos”, por más disimulado que seas para decirlo, es bien de garca. Más si lo decís desde una postura de poder del estado.
RT @AnnieLennox: Wowza!! I just saw this incredible interpretation of SWEET DREAMS… Gentlemen..You’re AMAZING!!! Thanks for choosing our…
https://t.co/f4n9qbpMJ3
#Messi #Monterroso https://t.co/dFXrTUrgCt
La vida imita al arte! Queremos tanto a #Messi https://t.co/iLjjeMeDL1
Key Insights & Takeaways
They use humor and cultural references to engage their audience Their content often includes personal opinions and social commentary They maintain a consistent presence with a mix of artistic and public topics
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 747,275
- + 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 @porliniers reveals an well-established Twitter presence with 747,275 followers. The account demonstrates a content-creator strategy, averaging 252.3 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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