239,975
Followers
276
Following
2,615
Tweets
151.7
Avg Engagement
228
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jairpereira16'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:2011-11-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,571
- Avg Likes per Tweet:107.6
- Avg Retweets per Tweet:44.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,571 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The emotional tone of his posts likely contributes to this engagement.
107.6
Avg Likes/Tweet
44.1
Avg Retweets/Tweet
276,524
Total Likes
113,423
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
11
75th Percentile
16,417
Top Tweet
0.63
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
18.5%
Original
68.1%
Replies
13.1%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
19.6%
With Links
9.0%
With #Tags
84.9%
With @Mentions
10.4%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.68
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,571 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 338 retweets (13% 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 2,571 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 followers are likely football fans, especially those connected to his club Chivas. The audience appears to be emotionally invested and supportive of his career journey.
Below Average
Audience Quality
35.4%
Suspicion Index
41.7%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.3%
Empty Bio
45.9%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
83.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
31.1%
<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.
18,748,393
Total Potential Reach
5
Median Follower Reach
29
75th Percentile Reach
1.2%
>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).
28.6%
Creators
14,292 accounts
25.5%
Consumers
12,772 accounts
45.9%
Dormant
22,936 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):
44
Verified Followers
0.04% of total
8,355
Protected Accounts
8.27% 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 |
|---|---|---|---|
| @fifacom_es | 4,576,877 | Sports News | FIFA, fútbol, noticias |
| @CARLOSLGUERRERO | 1,749,781 | Athlete | Warrior, Exaggeration, Rest |
| @mhonividente | 1,465,899 | Psychic | Astrology, Predictions, Entertainment |
| @alanpulido | 990,616 | Athlete | Soccer, Faith, Strength |
| @_PonchoDeNigris | 962,365 | TV Host | Conductor, Empresario, Agradecido |
| @medranoazteca | 915,540 | Sports Journalist | Sports, Journalism, Radio |
| @fuedicho | 798,050 | Writer | Frases, versos, refranes |
| @Club_Queretaro | 772,979 | Sports Team | Soccer, Querétaro, Gallos Blancos |
| @PrideOfMexico | 693,263 | Wrestler | Honor, Orgullo, Dignidad |
| @peladoalmeyda | 608,898 | Soccer Coach | Soccer, Family, Coaching |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,503
Followers With Bio
59,495
Followers Without Bio
41.09%
% With Bio
58.91%
% 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 2,571 analyzed64,842
Combined Engagement
40,735
Total Likes
24,107
Total Retweets
12,968
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @CH14_: #SomosMásLosBuenos https://t.co/A9ITQjFCxT
A muerte contigo Mati https://t.co/036tgOAsmN
Gracias por todo afición 🙏🏻🙏🏻🙏🏻!!! Fue un honor haber defendido tu escudo @Chivas #Elcomandante #chivas#Gracias Dios https://t.co/TF7Sp7nHOZ
Gracias https://t.co/CHdGmm5BIm
Dios mío mil gracias por la oportunidad tan grande que nos das de estar en otra final 🙏🏻🙏🏻Gracias por este gran equipo 🇲🇽🇲🇽vamos @Chivas 💪🏼
Key Insights & Takeaways
His content is highly personal and emotional, which drives engagement He frequently expresses gratitude, reinforcing fan loyalty His tweets often include hashtags related to his club, indicating strong brand alignment
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 239,975
- + 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 @jairpereira16 reveals an well-established Twitter presence with 239,975 followers. The account demonstrates a conversation-first approach, averaging 151.7 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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