César Pachón
Líder social y representante de millones de campesinos. Ingeniero Agrónomo (UPTC). Papá de Juan Diego.
298,841
Followers
7,894
Following
39,967
Tweets
1,876.5
Avg Engagement
454
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CesarPachonAgro'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:2011-11-28
- Verification:No
- Location:Colombia
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:1,120.4
- Avg Retweets per Tweet:756.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,234 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is emotionally charged and resonates deeply with his followers.
1,120.4
Avg Likes/Tweet
756.1
Avg Retweets/Tweet
3,623,490
Total Likes
2,445,192
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
65
Median Likes
105
Median Retweets
2,056
75th Percentile
91,692
Top Tweet
6.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
30.1%
Original
21.6%
Replies
40.4%
Retweets
8.0%
Quotes
0.0%
Threads
0.1%
With Media
27.4%
With Links
13.4%
With #Tags
67.1%
With @Mentions
15.7%
With Emojis
129
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.72
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.3%
Weekday Posts
21.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 1,305 retweets (40% 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 3,234 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 primarily consists of rural communities and supporters of political figures like Gustavo Petro. Many followers are engaged in social and political activism.
Average
Audience Quality
28.4%
Suspicion Index
38.5%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.6%
Empty Bio
37.7%
<10 Tweets
6.0%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
26.5%
<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.
22,674,171
Total Potential Reach
12
Median Follower Reach
73
75th Percentile Reach
3.9%
>1K followers
0.4%
>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).
39.2%
Creators
19,580 accounts
23.2%
Consumers
11,578 accounts
37.7%
Dormant
18,842 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):
134
Verified Followers
0.13% of total
7,010
Protected Accounts
6.94% of total
4 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 |
|---|---|---|---|
| @dcabellor | 2,732,016 | Politician | Venezolano, Bolivariano, Socialismo |
| @SinghLions | 1,334,607 | Restaurateur | Food, Travel, Influencer |
| @mindefensa | 1,002,872 | Minister | Defensa, Colombia, Seguridad |
| @fuedicho | 797,934 | Writer | Frases, versos, refranes |
| @MinAmbienteCo | 670,698 | Minister | Environment, Colombia, Policy |
| @KarolCariola | 568,289 | Politician | Feminismo, Comunismo, Maternidad |
| @ElQueLosDELATA | 547,117 | Abogado | Abogado, escritor, productor |
| @SenadoGovCo | 513,867 | Government | Politics, Colombia, Congress |
| @gabodelascasas | 364,425 | Journalist | Multimedia, Opiniones personales, Radio |
| @abrahamendieta | 362,399 | Analista político | Politics, Media, Advocacy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,513
Followers With Bio
47,486
Followers Without Bio
52.98%
% With Bio
47.02%
% 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 3,234 analyzed318,920
Combined Engagement
77,439
Total Likes
241,481
Total Retweets
63,784
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @petrogustavo: Hoy es dia de fiesta para el pueblo. Que festeje la primera victoria popular. Que tantos sufrimientos se amortiguen en la…
RT @Argentina: #NuevaFotoDePerfil https://t.co/5l2tNSi1qE
RT @carofioritti: Mi vecina se mudó hace una semana y dejó al perro abandonado, sin comida y sin agua temblando de frío ya que no tiene don…
¡Se llama GUSTAVO PETRO y es nuestro PRESIDENTE!
Cuando diga “Me llamo Gustavo Petro y soy su presidente” ¿nos desmayamos todos no?
Key Insights & Takeaways
His tweets often emphasize political support and social unity He uses emotional language to connect with his audience He represents a significant segment of rural and politically active followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 298,841
- + 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 @CesarPachonAgro reveals an exceptionally influential Twitter presence with 298,841 followers. The account demonstrates a content-creator strategy, averaging 1,876.5 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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