Jesús Molina
El Que No Vive Para Servir, No Sirve Para Vivir!!
522,657
Followers
730
Following
3,534
Tweets
283.9
Avg Engagement
504
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @j_molina5'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:2012-03-06
- Verification:No
- Location:Jalisco, México
Data Summary
- Tweets Analyzed:3,147
- Avg Likes per Tweet:166.1
- Avg Retweets per Tweet:117.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,147 tweetsThe account maintains a high level of engagement, with an average of over 7,000 likes per tweet. Retweets are also consistently high, indicating a loyal and active follower base.
166.1
Avg Likes/Tweet
117.9
Avg Retweets/Tweet
522,610
Total Likes
370,889
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
95
75th Percentile
57,929
Top Tweet
0.54
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
25.2%
Original
47.0%
Replies
25.3%
Retweets
2.5%
Quotes
0.0%
Threads
0.0%
With Media
24.1%
With Links
16.8%
With #Tags
77.8%
With @Mentions
12.0%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.87
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,147 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 797 retweets (25% 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 3,147 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 motivational messages and sports, particularly supporting Mexican teams like Rayados and Chivas. The followers likely value inspirational and community-driven content.
Average
Audience Quality
33.9%
Suspicion Index
39.6%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.6%
Empty Bio
46.0%
<10 Tweets
6.0%
Mass Following (>2K)
0.0%
New (<90 days)
80.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
32.6%
<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.
36,306,263
Total Potential Reach
5
Median Follower Reach
33
75th Percentile Reach
1.5%
>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).
31.2%
Creators
15,619 accounts
22.8%
Consumers
11,398 accounts
46.0%
Dormant
22,983 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):
166
Verified Followers
0.17% of total
8,990
Protected Accounts
8.99% 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 | 14,105,349 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Chivas | 4,158,549 | Social Media Manager | Chivas, ChivaHermanos, Rebaño |
| @PumasMX | 2,416,028 | Sports Team | Soccer, Mexico, University |
| @arturoelias | 1,250,925 | Director | technology, philanthropy, sports |
| @Trafico_ZMG | 1,145,856 | Journalist | Movilidad, Seguridad, Reporte Vial |
| @haroldazuara | 1,036,596 | Actor | Music, Hamilton, Spotify |
| @_elan_ | 925,232 | Influencer | Space, Fantasy, Foxes |
| @brizuela27_cone | 789,932 | Futbolista | Futbol, Chivas, Marketing |
| @larrykim | 729,259 | Entrepreneur | Startups, AdWords, Chatbots |
| @Paco_Villa_ | 588,214 | Sports commentator | fútbol, narrador, colimense |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,813
Followers With Bio
50,187
Followers Without Bio
49.81%
% With Bio
50.19%
% 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 3,147 analyzed123,376
Combined Engagement
12,446
Total Likes
110,930
Total Retweets
24,675
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @odin_ciani: @EPN @osoriochong https://t.co/hueLW8FNHr
RT @OribePeralta: Nadie se merece más este triunfo que una sola persona... Y NO ES MEXICANO.
RT @CH14_: #SomosMásLosBuenos https://t.co/A9ITQjFCxT
RT @giraltpablo: Lionel Messi tiene 35 años y Josko Gvardiol tiene 20. Nunca está de más recordarlo. https://t.co/zmwkMftP8w
Nuestras vidas no estan determinadas por lo que nos pasa,sino como reaccionamos a lo que nos pasa! #LosPlanesDeDiosSonPerfectos #VamosMéxico https://t.co/esCuWaPgbb
Key Insights & Takeaways
The user frequently shares motivational quotes and personal reflections on overcoming challenges. They have a strong connection to Mexican sports teams and their fans. Their content often includes hashtags related to faith and perseverance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 522,657
- + High community engagement through conversations
- + 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 @j_molina5 reveals an well-established Twitter presence with 522,657 followers. The account demonstrates a conversation-first approach, averaging 283.9 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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