La Patilla
Noticias, información e Investigación
7,584,921
Followers
213
Following
6,657,305
Tweets
10.7
Avg Engagement
15,178
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @la_patilla'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:2010-03-18
- Verification:No
- Location:Venezuela
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:6.2
- Avg Retweets per Tweet:4.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has an average of 503 likes and 179 retweets per tweet, indicating moderate engagement. The content seems to resonate with a portion of the audience, particularly on political and social issues.
6.2
Avg Likes/Tweet
4.5
Avg Retweets/Tweet
20,105
Total Likes
14,513
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
3
Median Retweets
10
75th Percentile
3,397
Top Tweet
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.7%
Original
0.3%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
99.9%
With Links
13.8%
With #Tags
0.1%
With @Mentions
0.5%
With Emojis
113
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
79.5%
Weekday Posts
20.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 likely includes individuals interested in news, politics, and current affairs. They may be from various regions, given the international nature of the content.
Below Average
Audience Quality
45.8%
Suspicion Index
74.3%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
81.6%
Empty Bio
78.9%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
83.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.2%
No URL
67.1%
<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.
17,361,641
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.5%
>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).
8.8%
Creators
4,375 accounts
12.4%
Consumers
6,198 accounts
78.9%
Dormant
39,427 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):
42
Verified Followers
0.04% of total
2,996
Protected Accounts
2.97% of total
1 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 |
|---|---|---|---|
| @JohnCena | 14,106,074 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ADRIANAAZZIAS | 857,305 | Astrologer | Astrology, Horoscope, Daughter of God |
| @NDtitulares | 842,799 | News Outlet | news, opinion, Venezuela |
| @KOMINERT | 223,316 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @ErasmoProvenza | 196,214 | Media | Family, Media, Change |
| @LessiMarcano | 124,818 | Architect | Arquitectura, Luz, Venezuela |
| @RBADUEL | 114,360 | Activista | Politics, Freedom, Family |
| @RoiLopezRivas | 110,367 | Geologist | Gobierno, URSS, Chavista |
| @democratwico | 109,387 | Politician | Politics, Activism, Community |
| @fbeta02 | 86,562 | Influencer | Animal rights, Social media, Followers |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
19,595
Followers With Bio
81,397
Followers Without Bio
19.4%
% With Bio
80.6%
% 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 3,250 analyzed5,509
Combined Engagement
4,120
Total Likes
1,389
Total Retweets
1,102
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Un partido de Sudáfrica pide el arresto del Dalai Lama por “abuso infantil” https://t.co/Hje7SrBc1i
Un partido de Sudáfrica pide el arresto del Dalai Lama por “abuso infantil” https://t.co/Hje7SrBJQQ
#10Abr🍉| Esta será la nueva cédula electrónica venezolana 🇻🇪 ¿Qué te parece? 👀 https://t.co/P7hmXAlPrr
Un partido de Sudáfrica pide el arresto del Dalai Lama por “abuso infantil” https://t.co/Hje7SrBc1i
Un partido de Sudáfrica pide el arresto del Dalai Lama por “abuso infantil” https://t.co/Hje7SrBc1i
Key Insights & Takeaways
The account frequently shares news about political figures and events, which may indicate a focus on current affairs. It includes links to articles and tweets, suggesting a news or media-oriented approach. The content often touches on sensitive topics, which could influence engagement and audience perception.
Strengths
- + Established follower base of 7,584,921
- + 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 @la_patilla reveals an growing Twitter presence with 7,584,921 followers. The account demonstrates a content-creator strategy, averaging 10.7 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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