Nicolás Pereira
Former ATP Player,analyst @tennischannel.ATP Tour Player Council https://t.co/Lzas9pzYpj consulting. Español,English,Italiano,Portugues,Basic Français.
59,830
Followers
1,160
Following
12,893
Tweets
451.3
Avg Engagement
415
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nicolaspereira'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: Mid-Tier (10K+)
- Account Age:2010-05-23
- Verification:No
- Location:Key Biscayne, FL
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:55.9
- Avg Retweets per Tweet:395.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,202 tweetsPereira's tweets typically receive high engagement, with an average of 1,686 likes and 419 retweets, indicating a loyal and active audience. His content often invites debate and interaction, especially on topics like player conduct and tournament outcomes.
55.9
Avg Likes/Tweet
395.4
Avg Retweets/Tweet
178,865
Total Likes
1,266,109
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
3
Median Retweets
87
75th Percentile
216,498
Top Tweet
7.54
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
52.0%
Original
28.7%
Replies
16.6%
Retweets
2.7%
Quotes
0.0%
Threads
0.3%
With Media
28.5%
With Links
45.8%
With #Tags
74.5%
With @Mentions
14.7%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.8%
Weekday Posts
34.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 532 retweets (17% 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 3,202 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 10,000 followersHis audience includes tennis enthusiasts, sports analysts, and fans of Spanish, English, Italian, Portuguese, and French content. Followers are likely interested in player dynamics, tournament results, and sports culture.
Average
Audience Quality
21.6%
Suspicion Index
26.3%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.0%
Empty Bio
14.9%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
48.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
8.7%
<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.
29,470,280
Total Potential Reach
56
Median Follower Reach
189
75th Percentile Reach
5.6%
>1K followers
0.9%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.7%
Creators
6,573 accounts
19.4%
Consumers
1,937 accounts
14.9%
Dormant
1,490 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):
40
Verified Followers
0.4% of total
1,140
Protected Accounts
11.4% of total
8 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 | 14,076,131 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cmrondon | 2,912,633 | Journalist | journalism, radio, television |
| @Leander | 1,227,651 | Tennis Player | Tennis, Olympics, Champion |
| @fernandopalomo | 1,224,096 | Sports commentator | Sports, Journalism, Broadcasting |
| @colominaM | 716,945 | Periodista | Journalism, Education, University |
| @TheBorisBecker | 642,411 | Entrepreneur, Tennispro | Entrepreneur, Tennispro, Wimbledonchampion |
| @Miguel_Gurwitz | 593,142 | Sports Commentator | Family, Commentator, Sports |
| @lgabreu | 459,098 | Actor | Actor, Cine, Teatro |
| @TennisChannel | 417,259 | Sports Media | Tennis, ATP, WTA |
| @prodavinci | 402,692 | Journalist | ideas, crónicas, ensayos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,605
Followers With Bio
4,395
Followers Without Bio
56.05%
% With Bio
43.95%
% 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 3,202 analyzed509,127
Combined Engagement
0
Total Likes
509,127
Total Retweets
101,825
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BarackObama: Have fun out there among the stars. https://t.co/S285MTwGtp
RT @MichelleObama: Sometimes truth transcends party. https://t.co/TeFM7NmNzU
RT @ABCPolitics: "Your indifference cost these men and women their most valuable commodity: time." Jon Stewart receives a standing ovation from 9/11 first responders after slamming lawmakers for failing to fund programs providing healthcare to the first responders https://t.co/v
RT @RexChapman: Before getting off the bus, this little girl told the bus driver that “Shake It Off” was her favorite song. He stopped everything he was doing, parked the bus, turned up the song, and jammed with her...💪🌎🎶❤️ https://t.co/VgUXdKURS0
RT @NBAonTNT: “I haven’t felt a pain that sharp in a while.. it definitely changes me.”’ @SHAQ on the loss of his brother, Kobe. https://t.co/dM5i0DDgGK
Key Insights & Takeaways
His tweets often highlight player controversies and financial aspects of tennis, such as Serena Williams' fine breakdown. He frequently comments on major tournaments and player performances, showing a deep understanding of the sport. He uses multiple languages, suggesting a broad international audience and a desire to engage with diverse communities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,830
- + 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 @nicolaspereira reveals an well-established Twitter presence with 59,830 followers. The account demonstrates a content-creator strategy, averaging 451.3 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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