334,350
Followers
390
Following
1,555
Tweets
117.6
Avg Engagement
210
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jzavala17'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:2012-10-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,467
- Avg Likes per Tweet:91.3
- Avg Retweets per Tweet:26.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,467 tweetsThe account has a high engagement rate, with each tweet receiving a significant number of likes and retweets. This suggests a loyal and active fan base that is highly interested in the content shared.
91.3
Avg Likes/Tweet
26.3
Avg Retweets/Tweet
133,909
Total Likes
38,628
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
4
Median Retweets
83
75th Percentile
5,992
Top Tweet
0.35
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
45.9%
Original
31.8%
Replies
17.7%
Retweets
4.6%
Quotes
0.0%
Threads
0.0%
With Media
39.3%
With Links
23.9%
With #Tags
65.6%
With @Mentions
45.1%
With Emojis
87
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,467 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 260 retweets (18% 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 1,467 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 primarily football fans, especially those supporting the Rayados team. The content is likely shared with a regional or national audience interested in sports and team celebrations.
Below Average
Audience Quality
41.0%
Suspicion Index
55.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.6%
Empty Bio
62.5%
<10 Tweets
4.5%
Mass Following (>2K)
0.0%
New (<90 days)
87.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
47.7%
<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.
23,069,511
Total Potential Reach
2
Median Follower Reach
11
75th Percentile Reach
1.0%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
18.5%
Creators
9,227 accounts
19.0%
Consumers
9,506 accounts
62.5%
Dormant
31,267 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):
93
Verified Followers
0.09% of total
7,343
Protected Accounts
7.27% 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 |
|---|---|---|---|
| @JohnCena | 14,103,424 | Wrestler | Wrestling, Motivation, Self-promotion |
| @beyafaby | 927,000 | Conductora | Television hosting, Psychology, Monterrey |
| @TUDNUSA | 683,408 | Sports Media | Liga MX, Champions League, MLS |
| @El_Ciudadano | 580,806 | Journalist | Prensa, Libertaria, Denuncia |
| @wefollowbackd | 457,138 | Football Blogger | Football, News, Sport |
| @Moreno | 430,296 | Influencer | Business, Manager, Serious |
| @CarmenSalinasLo | 423,336 | Actriz | Actriz, Televisa, Instagram |
| @patosanz_20 | 417,375 | Futbolista | Futbol, River Plate, Monterrey |
| @Inspiras_ | 411,851 | Magazine Editor | Positividad, Lifestyle, Posible |
| @egomezislas | 390,563 | CEO | ATV, Corporate, CEO |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,934
Followers With Bio
62,065
Followers Without Bio
38.55%
% With Bio
61.45%
% 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 1,467 analyzed22,908
Combined Engagement
20,404
Total Likes
2,504
Total Retweets
4,582
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
Gracias @Rayados , Gracias Afición 👏🏼🔵⚪️1️⃣7️⃣ https://t.co/u6FeogQiji
Felicidades @Rayados 🥇🏆👏🏼👏🏼👏🏼👏🏼
#75AñosRayados Gracias @Rayados por permitirme ser parte de esta historia 🔵⚪️ https://t.co/Tgj4Ydrn4K
👏🏼👏🏼👏🏼👏🏼👏🏼 Felicidades @Rayados
⚽️🏃🏻1️⃣7️⃣🔵⚪️#VamosRayados #VamosPorLaQuinta #EnLaVidayEnLaCancha https://t.co/fVskkaZegW
Key Insights & Takeaways
The account is heavily focused on celebrating the Rayados team and its achievements. The content is often in the form of gratitude and recognition, indicating a strong emotional connection with the team. The use of hashtags and links suggests an effort to engage with a broader audience and promote team-related content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 334,350
- + 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 @jzavala17 reveals an well-established Twitter presence with 334,350 followers. The account demonstrates a content-creator strategy, averaging 117.6 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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