Leandro Quesada
#WorldCup curriculum 1🇺🇸2🇫🇷3🇰🇷🇯🇵4🇩🇪5🇿🇦6🇧🇷7🇷🇺8🇶🇦9🇺🇸🇲🇽🇨🇦…10 🇦🇷🇺🇾🇵🇾🇪🇸🇵🇹🇲🇦 … @placar @radiobandnewsfm
168,884
Followers
2,084
Following
20,057
Tweets
295.5
Avg Engagement
395
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @leandroquesada'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:2009-12-09
- Verification:No
- Location:Brasil🔰
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:15.5
- Avg Retweets per Tweet:280.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive a moderate level of engagement, with an average of 1,454 likes and 174 retweets per post. The engagement suggests a dedicated but niche following.
15.5
Avg Likes/Tweet
280.0
Avg Retweets/Tweet
50,441
Total Likes
909,870
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
17
75th Percentile
249,913
Top Tweet
1.75
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
41.7%
Original
35.8%
Replies
16.3%
Retweets
6.2%
Quotes
0.0%
Threads
0.0%
With Media
58.9%
With Links
38.4%
With #Tags
43.5%
With @Mentions
24.2%
With Emojis
137
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 529 retweets (16% 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 3,250 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 Brazilian football fans, media outlets, and other sports enthusiasts interested in club politics and transfer news. The content is tailored to those who follow Brazilian football closely.
Average
Audience Quality
27.0%
Suspicion Index
27.6%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.8%
Empty Bio
28.0%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
70.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
15.5%
<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.
33,549,387
Total Potential Reach
13
Median Follower Reach
65
75th Percentile Reach
3.0%
>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).
42.5%
Creators
21,265 accounts
29.5%
Consumers
14,751 accounts
28.0%
Dormant
13,984 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):
92
Verified Followers
0.09% of total
6,963
Protected Accounts
6.96% 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 |
|---|---|---|---|
| @JohnCena | 14,100,529 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OCriador | 3,047,876 | Religious Leader | Deus, Onipresente, Onisciente |
| @benlandis | 2,847,268 | - | - |
| @OfficialASRoma | 2,310,120 | - | - |
| @6BillionPeople | 2,033,357 | - | - |
| @xicosa | 1,741,713 | Jornalista | antirracista, jornalista, escritor |
| @SinghLions | 1,333,808 | Restaurateur | Food, Travel, Influencer |
| @NadirOfc | 1,199,651 | - | - |
| @edmundosouza7 | 1,195,959 | Sports Commentator | Sports, Commentator, Athlete |
| @mano97fm | 839,003 | Sports Commentator | Victory, Journeys, Glory |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,281
Followers With Bio
42,719
Followers Without Bio
57.28%
% With Bio
42.72%
% 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 3,250 analyzed515,052
Combined Engagement
0
Total Likes
515,052
Total Retweets
103,010
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @KMbappe: Nous reviendrons. 🇫🇷🙏🏽 https://t.co/Ni2WhO6Tgd
RT @elonmusk: 🇯🇵🇯🇵 Congratulations Japan! 🇯🇵🇯🇵 https://t.co/WfqWIJMNGI
RT @ErlingHaaland: Everything you see any player doing, Pelé did it first. RIP ⚽️🤴🏿 https://t.co/SeW0z1hQTm
RT @dwnews: She was tortured with axes during Kenya's struggle for independence from British colonial rule. As Britain celebrates the Pla…
RT @elonmusk: Twitter will soon add ability to attach long-form text to tweets, ending absurdity of notepad screenshots
Key Insights & Takeaways
He often highlights the competitive success of clubs like Flamengo and their impact on rivals. He provides insider information on transfers and club strategies, such as the Cruzeiro-Palmeiras deal. He critiques club management and leadership, emphasizing the importance of individual goals over team loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 168,884
- + 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 @leandroquesada reveals an well-established Twitter presence with 168,884 followers. The account demonstrates a content-creator strategy, averaging 295.5 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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