Manuel Lanzini
jugador de River Plate
219,927
Followers
63
Following
822
Tweets
568.6
Avg Engagement
306
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @manulanzini'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:2014-05-28
- Verification:No
- Location:Inglaterra, Reino Unido
Data Summary
- Tweets Analyzed:816
- Avg Likes per Tweet:427.0
- Avg Retweets per Tweet:141.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 816 tweetsHis tweets receive a high number of likes and retweets, showing strong engagement from his followers. The content resonates well with his audience, particularly when it comes to personal milestones and team-related updates.
427.0
Avg Likes/Tweet
141.6
Avg Retweets/Tweet
348,422
Total Likes
115,546
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
67
Median Likes
25
Median Retweets
201
75th Percentile
38,172
Top Tweet
2.59
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
87.7%
Original
0.9%
Replies
10.4%
Retweets
1.0%
Quotes
0.0%
Threads
1.0%
With Media
95.1%
With Links
25.7%
With #Tags
27.0%
With @Mentions
35.8%
With Emojis
83
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 816 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 85 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 816 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, especially supporters of River Plate, and individuals interested in his personal and professional journey. The audience is likely to be passionate about sports and personal success stories.
Average
Audience Quality
28.4%
Suspicion Index
33.5%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
36.5%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
62.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
24.5%
<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.
29,729,964
Total Potential Reach
16
Median Follower Reach
92
75th Percentile Reach
3.1%
>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).
40.6%
Creators
20,307 accounts
22.9%
Consumers
11,434 accounts
36.5%
Dormant
18,259 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):
69
Verified Followers
0.07% of total
6,850
Protected Accounts
6.85% 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 |
|---|---|---|---|
| @JackWilshere | 3,666,630 | Footballer | Football, Family, Instagram |
| @DiarioOle | 3,663,320 | Sports Journalist | Sports, News, Passion |
| @Benayadachraf | 3,497,763 | Unknown | Technology, Innovation, Entrepreneurship |
| @JPVarsky | 2,101,150 | - | - |
| @VarskySports | 2,064,014 | - | - |
| @TNTSportsAR | 1,069,180 | Sports Media | Football, Liga Profesional, Argentine sports |
| @EmiratesFACup | 1,008,972 | Sports Organization | Football, Competition, Trophy |
| @termoderiver | 947,939 | Sports Analyst | River Plate, Ramón, Angelito y Gallardo |
| @FrankieCocozza | 806,607 | Singer | Music, Tattoos, Reality TV |
| @benshephard | 805,714 | TV Presenter | Family, fitness, TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,507
Followers With Bio
51,493
Followers Without Bio
48.51%
% With Bio
51.49%
% 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 816 analyzed87,471
Combined Engagement
43,885
Total Likes
43,586
Total Retweets
17,494
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @_DeclanRice: We will never see a player like Messi ever again.
Sueños que uno se propone de chico que con sacrificio y humildad se cumplen. Contento y feliz por mi familia que me acompañó en las buenas y en las malas, y siempre me apoyaron. Ahora a concentrarse en lo que viene que es lo más lindo que nos toca vivir. 💪🏼👏🏼🇦🇷 #Argentina https:/
Según medios ingleses se dijo que iba a perderme toda la temporada, que hubo problemas en la operación. Nada de eso es cierto. La operación salió bien. No me pongo un tiempo de regreso pero pienso que en enero o febrero ya estar de vuelta es mi objetivo. Muchas gracias a todos 💪
Hoy más que nunca hay que alentar y dejar las boludeces que dicen de lado, y demostrar que no son 23, 50 o 100, hay que demostrar que somos 40 millones que vamos todos para el mismo lado y con el mismo objetivo. VAMOS ARGENTINA CARAJO 🇦🇷💪🏼 #lomejorestaporvenir #argentina https:/
Feliz 117 aniversario al club más grande 😍⚪️❤️⚪️ #117AñosDeHistoria https://t.co/K3Xq2i8rA3
Key Insights & Takeaways
He uses personal stories to connect with his audience and build a loyal following. His emphasis on family and hard work highlights values that resonate with many fans. He effectively leverages his association with River Plate to maintain relevance and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 219,927
- + 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 @manulanzini reveals an well-established Twitter presence with 219,927 followers. The account demonstrates a content-creator strategy, averaging 568.6 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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