Francisco Chacón 🐦
insta pacochaconmx
72,684
Followers
149
Following
1,213
Tweets
1,457.2
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pacochaconmx'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: Mid-Tier (10K+)
- Account Age:2019-05-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1,347.2
- Avg Retweets per Tweet:110.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsHis tweets receive high engagement, with an average of 19,787 likes and 2,014 retweets per tweet.
1,347.2
Avg Likes/Tweet
110.0
Avg Retweets/Tweet
673,600
Total Likes
55,025
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
308
Median Likes
12
Median Retweets
1,229
75th Percentile
50,901
Top Tweet
20.05
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
67.8%
Original
16.0%
Replies
7.0%
Retweets
9.2%
Quotes
0.0%
Threads
0.0%
With Media
29.6%
With Links
6.4%
With #Tags
63.0%
With @Mentions
15.0%
With Emojis
154
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
1.31
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
61.4%
Weekday Posts
38.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 35 retweets (7% 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 500 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 followersHis audience is primarily Mexican, with a strong interest in football and entertainment.
Average
Audience Quality
25.3%
Suspicion Index
30.0%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.8%
Empty Bio
19.8%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
64.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.2%
No URL
12.3%
<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.
48,799,203
Total Potential Reach
27
Median Follower Reach
105
75th Percentile Reach
2.4%
>1K followers
0.3%
>10K followers
0.1%
>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).
59.4%
Creators
29,679 accounts
20.9%
Consumers
10,438 accounts
19.8%
Dormant
9,883 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):
238
Verified Followers
0.34% of total
8,258
Protected Accounts
11.77% of total
7 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 | 14,105,712 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CarlosLoret | 9,507,657 | Journalist | Reportero, Columna, Colaborador |
| @werevertumorro | 8,725,196 | Influencer | Gaming, Comedy, Email Marketing |
| @Faitelson_ESPN | 4,081,972 | - | - |
| @martinolimx | 3,572,511 | Sports Commentator | Soccer, Family, Cats |
| @AztecaDeportes | 3,274,421 | Sports Media | Futbol, Boxeo, Lucha libre |
| @OribePeralta | 2,959,017 | Athlete | Soccer, #NoAflojen, Sports |
| @GarciaPosti | 2,892,811 | Public Relations | Sateluco, Conferencias, PR |
| @taniarin | 2,690,431 | TV Host | Fitness, Fashion, Sports |
| @CARLOSLGUERRERO | 1,748,586 | Athlete | Warrior, Exaggeration, Rest |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,866
Followers With Bio
32,292
Followers Without Bio
53.97%
% With Bio
46.03%
% 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 500 analyzed151,694
Combined Engagement
138,845
Total Likes
12,849
Total Retweets
30,339
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
No sé que está pasando en el @TigresOficial vs @AtlasFC, la neta estoy chupando a toda madre en una boda, salud a todos.
Me gustaría saber que hace Edson Álvarez en la banca. Alguien entiende a Martino?
Me duele decirlo pero ésto que acaba de pasar es increíble, Romario Ibarra nunca juega el balón para dar un pase, después de ésto debe de renunciar Arturo Brizio, que vergüenza para el arbitraje Mexicano. Es una deshonra para el arbitraje
Imposible hablar de fútbol con muertos en los estudios.
Min 22 penal inexistente sobre Di Maria, es una jugada en dónde el VAR pudo haber intenido.
Key Insights & Takeaways
He often shares his personal experiences and opinions on football matches, which resonate well with his followers. He uses humor and relatable content to connect with his audience. His tweets frequently include questions and reactions, encouraging interaction and discussion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,684
- + 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 @pacochaconmx reveals an exceptionally influential Twitter presence with 72,684 followers. The account demonstrates a content-creator strategy, averaging 1,457.2 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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