Luis Manuel López
Formula 1 - Motorsports @ FoxSports Automotive journalist.
218,556
Followers
1,340
Following
84,410
Tweets
669.1
Avg Engagement
1,658
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chacho_lml'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:2009-09-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:559.0
- Avg Retweets per Tweet:110.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive high engagement, with an average of 16,904 likes and 1,838 retweets per tweet.
559.0
Avg Likes/Tweet
110.0
Avg Retweets/Tweet
1,816,330
Total Likes
357,456
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
45
Median Likes
7
Median Retweets
546
75th Percentile
32,214
Top Tweet
3.06
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
38.6%
Original
39.2%
Replies
14.6%
Retweets
7.5%
Quotes
0.0%
Threads
0.1%
With Media
48.2%
With Links
26.6%
With #Tags
65.3%
With @Mentions
22.0%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.2%
Weekday Posts
34.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 475 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 3,249 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 includes Formula 1 fans and automotive enthusiasts, with a strong presence in Mexico.
Average
Audience Quality
24.4%
Suspicion Index
33.5%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.1%
Empty Bio
23.3%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
55.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
15.9%
<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.
22,066,846
Total Potential Reach
27
Median Follower Reach
116
75th Percentile Reach
2.8%
>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).
56.8%
Creators
28,382 accounts
19.9%
Consumers
9,946 accounts
23.3%
Dormant
11,672 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):
217
Verified Followers
0.21% of total
12,223
Protected Accounts
12.1% 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 |
|---|---|---|---|
| @Reforma | 3,797,559 | News outlet | news, Mexico, world |
| @giraltpablo | 1,023,180 | Sports Journalist | Fútbol, TV, Radio |
| @MYMALK4PON3 | 911,339 | - | - |
| @benitoysolange | 819,189 | Chef | Solange, pescados, mariscos |
| @LRZague | 706,518 | Exfutbolista | Sports, Faith, Former Footballer |
| @BrunoPont | 651,951 | Sports commentator | sports, television, broadcasting |
| @gerardotorrado6 | 596,722 | Director Deportivo | Sports, Family, Extreme Sports |
| @Nissan_mx | 580,348 | Automotive | autos, seguridad, calidad |
| @Moreno | 430,314 | Influencer | Business, Manager, Serious |
| @MBarcelata | 367,756 | TV Host | Magic, Impeccable, Management |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,683
Followers With Bio
49,314
Followers Without Bio
51.17%
% With Bio
48.83%
% 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 3,249 analyzed112,443
Combined Engagement
64,229
Total Likes
48,214
Total Retweets
22,489
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
De terror. https://t.co/i1RDDWl5Q1
Una vergüenza que se siga futbolizando la F1. 👎🏼 https://t.co/iO9a3dxRuh
RT @SChecoPerez: How can we make it clear that we never want to see a crane on track? We lost Jules because of that mistake. What happen…
RT @MickJagger: With the death of Jeff Beck we have lost a wonderful man and one of the greatest guitar players in the world. We will all m…
Para mis compatriotas y aficionados de Checo. Les quiero compartir una idea. Checo no necesita ayudas porque solo es como ha llegado a donde está. Si termina segundo tercero o cuarto cumplirá con una temporada histórica, sin importar lo que otrosí digan. Disfrutemos lo que venga.
Key Insights & Takeaways
He often shares breaking news and updates on Formula 1 races. He has a strong connection with his Mexican audience. He emphasizes the talent and hard work of drivers like Valtteri Bottas.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 218,556
- + 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 @chacho_lml reveals an well-established Twitter presence with 218,556 followers. The account demonstrates a conversation-first approach, averaging 669.1 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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