José Luis Sanchez
📩contacto [email protected]
210,460
Followers
704
Following
20,027
Tweets
54.8
Avg Engagement
500
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Elchelis'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:2011-07-01
- Verification:No
- Location:puebla pue mex.
Data Summary
- Tweets Analyzed:3,228
- Avg Likes per Tweet:33.7
- Avg Retweets per Tweet:21.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,228 tweetsThe average engagement per tweet is moderate, with around 4,320 likes and 341 retweets. This suggests a loyal but not highly interactive audience.
33.7
Avg Likes/Tweet
21.1
Avg Retweets/Tweet
108,895
Total Likes
67,977
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
14
75th Percentile
26,723
Top Tweet
0.26
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
13.4%
Original
3.7%
Replies
43.6%
Retweets
39.3%
Quotes
0.0%
Threads
0.0%
With Media
62.6%
With Links
20.4%
With #Tags
51.4%
With @Mentions
17.9%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,228 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 1,409 retweets (44% 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 3,228 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 appears to be interested in personal stories and health topics. The user's content is likely shared with family and friends.
Average
Audience Quality
28.8%
Suspicion Index
33.0%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
25.7%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
74.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
16.0%
<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.
31,247,247
Total Potential Reach
16
Median Follower Reach
71
75th Percentile Reach
2.4%
>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).
49.9%
Creators
24,970 accounts
24.3%
Consumers
12,174 accounts
25.7%
Dormant
12,856 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):
131
Verified Followers
0.13% of total
10,819
Protected Accounts
10.82% 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 |
|---|---|---|---|
| @werevertumorro | 8,714,908 | Influencer | Gaming, Comedy, Email Marketing |
| @martinolimx | 3,580,796 | Sports Commentator | Soccer, Family, Cats |
| @futpicante | 2,080,187 | Sports Commentator | Futbol, ESPN, Deportes |
| @6BillionPeople | 2,033,862 | - | - |
| @ponchohd | 1,963,588 | Actor | ACNUR, Goodwill Ambassador, Fatherhood |
| @ESPNmx | 1,798,759 | Sports News | Sports, Mexico, App |
| @ObispoPascal | 1,707,639 | Singer | Music, Album, Vinyl |
| @10APG | 1,613,303 | Footballer | Soccer, Tigres, Marseille |
| @record_mexico | 1,592,892 | Sports Journalist | Sports, News, Reporting |
| @LeonKrauze | 1,584,282 | Journalist | TV, Journalism, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,218
Followers With Bio
53,782
Followers Without Bio
46.22%
% With Bio
53.78%
% 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 3,228 analyzed64,280
Combined Engagement
25,898
Total Likes
38,382
Total Retweets
12,856
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @PelonGomis: No te lo voy a explicar con manzanas sino con cerillos y fuego... ¡A ver si así entiendes que cuidándote, puedes romper la…
https://t.co/dOsXkLa1Va
RT @adevaldes: Buenas tardes! URGENTE Por favor me ayudan a compartir, la conozco es hija de una amiga muy cercana por favor AYUDA Desde…
90 años de mi mamá. Una bendición. Felicidades https://t.co/IjN9X1JsKb
Jóvenes, a mi no me salpiquen. https://t.co/XtBXgrFWXh
Key Insights & Takeaways
The user frequently shares personal milestones, such as birthdays, which indicates a focus on family and personal achievements. Health-related updates are common, suggesting the user may be open about their medical journey. The user engages with their audience through direct contact information, showing a willingness to connect personally.
Strengths
- + Established follower base of 210,460
- + 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 @Elchelis reveals an growing Twitter presence with 210,460 followers. The account demonstrates a content-creator strategy, averaging 54.8 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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