Paco De Miguel
🇲🇽 Instagram: pacodemiguel
416,842
Followers
572
Following
7,921
Tweets
3,200.8
Avg Engagement
106
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PacoDeMiguelF'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:2010-08-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:2,817.3
- Avg Retweets per Tweet:383.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,196 tweetsThe account has high average likes and retweets, indicating a highly interactive and interested audience.
2,817.3
Avg Likes/Tweet
383.6
Avg Retweets/Tweet
9,004,024
Total Likes
1,225,867
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
387
Median Likes
16
Median Retweets
3,037
75th Percentile
267,156
Top Tweet
7.68
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
48.1%
Original
32.3%
Replies
14.6%
Retweets
5.0%
Quotes
0.0%
Threads
0.0%
With Media
31.7%
With Links
20.4%
With #Tags
43.7%
With @Mentions
21.5%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.1%
Weekday Posts
20.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 468 retweets (15% 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 3,196 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 politically engaged Mexicans, interested in current events and public figures.
Average
Audience Quality
25.3%
Suspicion Index
34.2%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
32.2%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
53.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
24.4%
<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.
87,739,548
Total Potential Reach
20
Median Follower Reach
108
75th Percentile Reach
3.0%
>1K followers
0.5%
>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).
49.8%
Creators
24,922 accounts
18.0%
Consumers
8,978 accounts
32.2%
Dormant
16,100 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):
218
Verified Followers
0.22% of total
15,477
Protected Accounts
15.48% 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 |
|---|---|---|---|
| @JohnCena | 14,104,260 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Anahi | 9,893,103 | Talent Manager | Management, Exclusive, Info |
| @Cinepolis | 8,252,224 | Cinema | cine, emocionarte, protocolo de nueva normalidad |
| @GalileaMontijo | 7,305,498 | TV Host | TV host, actress, Instagram |
| @belindapop | 6,794,281 | Singer | Music, Beauty, Memories |
| @franco_esca | 6,159,223 | Comedian | sarcasm, comedy, music |
| @FelipeCalderon | 6,083,535 | Politician | Politics, Climate Change, Sustainable Development |
| @LAURAGII | 4,637,459 | Conductora | Familia, Entretenimiento, Redes Sociales |
| @jaimecamil | 4,138,969 | Actor | Acting, Producing, Directing |
| @amablitz | 3,000,083 | Streamer | Gaming, Streaming, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,240
Followers With Bio
41,760
Followers Without Bio
58.24%
% With Bio
41.76%
% 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 3,196 analyzed671,453
Combined Engagement
265,678
Total Likes
405,775
Total Retweets
134,291
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @JordanUhl: Who is this serving? Who is this protecting? https://t.co/IK8DkwLLUT
RT @sanbenito: En vez de felicitarla hoy, respétela. Respeta sus capacidades, sus virtudes, sus defectos, respeta su espacio y su tiempo, s…
Anonymous me entregas el dispositivo? Me me me me entregas el dispositivo móvil.
Me entregan la presidencia? Me la entregas @lopezobrador_ Me entregas la presidencia
Evácuamos de este lado porfavor? Evacuaaaaaamos?
Key Insights & Takeaways
The user frequently interacts with political figures and public figures, suggesting a strong interest in politics and public discourse. The content often uses direct and urgent language, which may drive high engagement. The user's tweets often include calls for action or responses to current events, indicating a focus on real-time engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 416,842
- + 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 @PacoDeMiguelF reveals an exceptionally influential Twitter presence with 416,842 followers. The account demonstrates a content-creator strategy, averaging 3,200.8 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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