Lucas Piazon
Prepare for the worst but still praying for the best - Press/Marketing contato@jornalismofc.com @fabianodesouza @JornalismoFC
368,028
Followers
153
Following
10,475
Tweets
123.0
Avg Engagement
1,278
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LucasPiazon'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:2010-07-16
- Verification:No
- Location:Braga, Portugal
Data Summary
- Tweets Analyzed:3,175
- Avg Likes per Tweet:58.7
- Avg Retweets per Tweet:64.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,175 tweetsHis tweets receive an average of 3,927 likes and 2,322 retweets, indicating strong audience interaction and interest.
58.7
Avg Likes/Tweet
64.4
Avg Retweets/Tweet
186,243
Total Likes
204,358
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
13
Median Retweets
95
75th Percentile
12,696
Top Tweet
0.33
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
47.7%
Original
40.9%
Replies
10.0%
Retweets
1.4%
Quotes
0.0%
Threads
0.2%
With Media
30.5%
With Links
19.0%
With #Tags
63.9%
With @Mentions
14.1%
With Emojis
75
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,175 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 318 retweets (10% 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 3,175 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 primarily consists of football fans and supporters, particularly those aligned with Botafogo, a Brazilian football club.
Average
Audience Quality
30.0%
Suspicion Index
33.2%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
35.3%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
65.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
22.6%
<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.
47,565,004
Total Potential Reach
27
Median Follower Reach
124
75th Percentile Reach
3.8%
>1K followers
0.4%
>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).
40.7%
Creators
20,344 accounts
24.0%
Consumers
12,018 accounts
35.3%
Dormant
17,638 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):
215
Verified Followers
0.21% of total
8,388
Protected Accounts
8.39% 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 | 14,103,606 | Wrestler | Wrestling, Motivation, Self-promotion |
| @sportv | 4,078,155 | Sports Broadcaster | Football, Fitness, Basketball |
| @willianborges88 | 3,683,752 | Footballer | Football, Arsenal, Brazil |
| @benlandis | 2,849,833 | - | - |
| @sportbible | 2,083,678 | Sports Media | Sport, Lifestyle, Entertainment |
| @KameronBennett | 1,812,729 | DJ | Music, DJing, Booking |
| @SoccerKingJP | 1,351,656 | Sports Journalist | soccer, YouTube, sports |
| @soledadobrien | 1,318,396 | Journalist | working, mom, journalist |
| @tribundergi | 1,296,272 | Sports Magazine | Football, Culture, Istanbul |
| @LILBTHEBASEDGOD | 1,248,696 | Rapper | Music, Writing, Film |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,035
Followers With Bio
50,965
Followers Without Bio
49.03%
% With Bio
50.97%
% 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 3,175 analyzed49,425
Combined Engagement
25,907
Total Likes
23,518
Total Retweets
9,885
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
Jogos e momentos como o de ontem só nos une ainda mais! Tamo juntasso família 🔥 @Botafogo https://t.co/8xYBSCUQ8M
RT @JBALVIN: So excited for the launch of my friend @plansartstudio and his team for the incredible project @LilHeroesNFT ⚡⚡ I’m happy to g…
Feliz em estar de volta a casa depis de tanto tempo, pronto pra honrar essa camisa de tanta história e tradição. Obrigado pelas mensagens de carinho e que seja um ano de vitórias pra nós! Vamos com tudo 🔥 @Botafogo
RT @chelseafc: GOAL!! Torres. #CFCLive
#SorriaBrasil #BRA 💚💛 http://t.co/p8mnHh7lii
Key Insights & Takeaways
He frequently highlights team moments and unity, which resonate strongly with his followers. His content often includes personal reflections and gratitude, fostering a sense of community. He leverages his platform to connect with fans and promote the club's values and history.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 368,028
- + 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 @LucasPiazon reveals an well-established Twitter presence with 368,028 followers. The account demonstrates a content-creator strategy, averaging 123.0 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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