FERNANDO SCHWARTZ #nuncabajolosbrazos
Visitenos en SPORTANDCHIPS [email protected]
784,838
Followers
4,036
Following
156,576
Tweets
415.6
Avg Engagement
2,389
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fersch_4'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:2009-03-31
- Verification:No
- Location:Mexico
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:167.5
- Avg Retweets per Tweet:248.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account consistently receives a high number of likes and retweets, indicating a loyal and active audience. The engagement is likely driven by the controversial and emotionally charged nature of the tweets.
167.5
Avg Likes/Tweet
248.1
Avg Retweets/Tweet
544,103
Total Likes
806,115
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
38
Median Likes
3
Median Retweets
113
75th Percentile
282,259
Top Tweet
0.53
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
65.4%
Original
10.0%
Replies
9.2%
Retweets
15.4%
Quotes
0.0%
Threads
0.1%
With Media
52.5%
With Links
5.4%
With #Tags
42.4%
With @Mentions
6.2%
With Emojis
70
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
1.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
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 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 300 retweets (9% 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 followersThe audience appears to be interested in sports and possibly food-related topics, given the mention of 'SPORTANDCHIPS'. The content seems to resonate with a broader audience due to the high engagement rates.
Below Average
Audience Quality
36.0%
Suspicion Index
46.6%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.1%
Empty Bio
45.4%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
81.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
32.2%
<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.
28,150,243
Total Potential Reach
6
Median Follower Reach
34
75th Percentile Reach
1.8%
>1K followers
0.2%
>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).
31.4%
Creators
15,691 accounts
23.3%
Consumers
11,630 accounts
45.4%
Dormant
22,679 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):
193
Verified Followers
0.19% of total
8,284
Protected Accounts
8.2% of total
3 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 | 14,105,309 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AztecaDeportes | 3,276,150 | Sports Media | Futbol, Boxeo, Lucha libre |
| @clubleonfc | 1,035,716 | Sports Team | Soccer, Pride, Mexico |
| @NOH8Campaign | 801,921 | Activism | equality, bullying, discrimination |
| @monicagarzag | 778,211 | Journalist | Maternidad, Tamaulipas, Periodismo |
| @jona_orozco | 643,583 | Soccer Player | Xolos, Selección Mexicana, NeverGiveUp |
| @juansolervalls | 502,828 | Actor | Argentino, Anti-K, IG |
| @Citibanamex | 446,623 | - | - |
| @Moreno | 430,283 | Influencer | Business, Manager, Serious |
| @HoustonDynamo | 417,528 | Soccer Team | Soccer, Championships, Orange |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,562
Followers With Bio
55,435
Followers Without Bio
45.11%
% With Bio
54.89%
% 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 3,249 analyzed645,873
Combined Engagement
43,487
Total Likes
602,386
Total Retweets
129,175
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @neymarjr: Felicidades Hermano 👏🏽 #leomessi https://t.co/5XClpQf15y
RT @KMbappe: Nous reviendrons. 🇫🇷🙏🏽 https://t.co/Ni2WhO6Tgd
RT @PSG_espanol: 👕 ¡SORTEAMOS LA CAMISETA FIRMADA POR NUESTRO CAMPEÓN DEL MUNDO! 🔥 ¿Cómo participar? 1. Seguir a @PSG_espanol 2. Dar RT…
Anti fair play. Muy mala leche y deportivismo https://t.co/dTCa1gaafX
Asi o mas corriente https://t.co/BTZlI420eZ
Key Insights & Takeaways
The user frequently shares strong opinions on sports and social issues, which may drive engagement. Their tweets often include personal and emotional language, which can polarize or attract attention. The use of Spanish and personal insults suggests a targeted or regional audience with specific interests.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 784,838
- + 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 @fersch_4 reveals an well-established Twitter presence with 784,838 followers. The account demonstrates a content-creator strategy, averaging 415.6 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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