💙🤍Lucas Pérez
▪️ Futbolista del @RCDeportivo ▪️2022 @Cadiz_CF
175,763
Followers
537
Following
1,819
Tweets
595.1
Avg Engagement
498
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LP10oficial'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:2013-11-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,702
- Avg Likes per Tweet:354.6
- Avg Retweets per Tweet:240.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,702 tweetsThe account shows consistent engagement with a high average number of likes and retweets, suggesting active interaction with followers.
354.6
Avg Likes/Tweet
240.5
Avg Retweets/Tweet
603,589
Total Likes
409,352
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
30
Median Retweets
386
75th Percentile
91,071
Top Tweet
3.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
44.8%
Original
4.8%
Replies
49.5%
Retweets
0.9%
Quotes
0.0%
Threads
0.0%
With Media
71.3%
With Links
43.9%
With #Tags
72.0%
With @Mentions
51.6%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,702 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 842 retweets (49% 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 1,702 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 primarily consists of football fans and followers of his career, with a notable interest in his personal milestones and team updates.
Average
Audience Quality
28.6%
Suspicion Index
34.3%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.9%
Empty Bio
33.2%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
61.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
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.
94,891,251
Total Potential Reach
29
Median Follower Reach
143
75th Percentile Reach
4.1%
>1K followers
0.5%
>10K followers
0.2%
>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).
45.7%
Creators
22,874 accounts
21.0%
Consumers
10,521 accounts
33.2%
Dormant
16,605 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):
124
Verified Followers
0.12% of total
6,999
Protected Accounts
6.93% 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 |
|---|---|---|---|
| @Rubiu5 | 21,137,095 | Youtuber | Gatos, Hentai, Obesos |
| @JohnCena | 14,100,465 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EASPORTSFIFA | 9,499,615 | - | - |
| @Lord_Sugar | 5,201,201 | Entrepreneur | business, entrepreneurship, technology |
| @bysTaXx | 4,540,015 | YouTuber | Videos, Business, Internet |
| @DjMaRiiO | 4,457,453 | Gamer | Videojuegos, Streaming, Espectadores |
| @JackWilshere | 3,666,736 | Footballer | Football, Family, Instagram |
| @thibautcourtois | 3,563,723 | Goalkeeper | Football, Goalkeeping, Belgium |
| @2010MisterChip | 3,528,114 | Sports Analyst | Football, Statistics, Broadcasting |
| @MarcBartra | 2,668,597 | Footballer | Football, Real Betis, Spain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,663
Followers With Bio
54,336
Followers Without Bio
46.2%
% With Bio
53.8%
% 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 1,702 analyzed191,102
Combined Engagement
46,371
Total Likes
144,731
Total Retweets
38,220
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @Ieomessiok: CAMPEONES DEL MUNDO!!!!!!! 🌎🏆 Tantas veces lo soñé, tanto lo deseaba que aún no caigo, no me lo puedo creer…… Muchas grac…
RT @3gerardpique: Supongo que no hace falta decir nada más... Somos un magnífico equipo! Un gran día para todos. https://t.co/QuZGPcCwrH
Hello @Arsenal!!! #anewGunnerisintown #BienvenidoLucas ⚽️🔴⚪️🔴 https://t.co/6SITFWjK1Q
Thanks! 🔴 👋🏼 https://t.co/mBPcMfZHsZ
♥️BIENVENIDO IRVIN❤️ 14/02/2023👶🏻 https://t.co/cwpR7G7HMp
Key Insights & Takeaways
The account frequently shares personal milestones and team updates, which likely drive engagement. The use of emojis and hashtags helps to create a more relatable and interactive tone. There is a clear focus on welcoming new players and celebrating team events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 175,763
- + 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 @LP10oficial reveals an well-established Twitter presence with 175,763 followers. The account demonstrates a content-creator strategy, averaging 595.1 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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