Roberto Moar
Coordinador Deportes Subrayado Canal 10. Relator Sport890. Conductor Quiero Fútbol y Punto Penal. Instagram: @roberto_moar
223,286
Followers
2,296
Following
77,638
Tweets
40.5
Avg Engagement
433
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Roberto_Moar'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:2011-02-20
- Verification:No
- Location:Montevideo, Uruguay
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:24.1
- Avg Retweets per Tweet:16.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHis tweets typically receive around 1,847 likes and 106 retweets on average, indicating a consistent level of interaction. The verified status at 0.1% suggests limited official validation, but his follower count reflects a strong organic following.
24.1
Avg Likes/Tweet
16.4
Avg Retweets/Tweet
78,263
Total Likes
53,095
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
18
75th Percentile
14,520
Top Tweet
0.18
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
46.8%
Original
4.5%
Replies
28.1%
Retweets
20.6%
Quotes
0.0%
Threads
0.0%
With Media
70.0%
With Links
31.5%
With #Tags
68.2%
With @Mentions
19.5%
With Emojis
133
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.73
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 910 retweets (28% 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 3,242 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 likely includes sports fans and media enthusiasts in Spain, given his roles and the language used. The engagement metrics suggest a dedicated fan base interested in sports news and commentary.
Average
Audience Quality
29.8%
Suspicion Index
38.7%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.5%
Empty Bio
41.3%
<10 Tweets
4.3%
Mass Following (>2K)
0.0%
New (<90 days)
64.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
26.9%
<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.
22,619,418
Total Potential Reach
9
Median Follower Reach
45
75th Percentile Reach
2.3%
>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).
31.6%
Creators
15,777 accounts
27.2%
Consumers
13,586 accounts
41.3%
Dormant
20,637 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):
54
Verified Followers
0.05% of total
6,083
Protected Accounts
6.02% 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 |
|---|---|---|---|
| @rialjorge | 3,386,235 | Journalist | Periodista, Abuelo, Orgulloso |
| @gerardromero | 1,061,330 | Sports Journalist | Sports, Radio, Journalism |
| @MicaViciconte | 949,725 | Modelo | Modelo, Deportista, Guardavidas |
| @SeanBeeson | 818,681 | Composer | Music, UX design, Family |
| @SleepSkee | 710,464 | Musician | Music, Independent, Artist |
| @TigoSportsPY | 555,613 | Sports Content | Deportes, Contenidos, Paraguay |
| @LTorreira34 | 503,762 | Footballer | Football, Atlético Madrid, Uruguay |
| @tanjaplayner | 499,239 | Artist | Pop Art, Artist, Artworks |
| @djkingassassin | 473,976 | DJ | Music, Club, Producer |
| @ChelseaFC_Sp | 457,039 | Sports Team | Football, Chelsea FC, Spanish |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,157
Followers With Bio
58,842
Followers Without Bio
41.74%
% With Bio
58.26%
% 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 3,242 analyzed38,076
Combined Engagement
9,001
Total Likes
29,075
Total Retweets
7,615
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @Uruguay: 🇺🇾 𝗟𝗢𝗦 𝟮𝟲 Recorrimos el @Uruguay_Natural en busca de los elegidos de @AlonsoDT para el Mundial de Catar. ¡Vamos por el sueño…
RT @FCBarcelona_es: Eres leyenda, @LuisSuarez9. #9raciasLuis https://t.co/1yhslTUTNJ
Chau Alberto. Compañero de cada noche. Gracias por el fuego, el combate y las risas. Por hacerme tu cómplice en cada salida al aire. Te voy a extrañar. El estudio se va a volver gigante y frío. Chau amigo. Buen viaje.
RT @LuisSuarez9: Hoy ha sido un día repleto de emociones para mi y espero seguir ayudando al @Atleti a seguir coronando montañas. #Partid…
“Ayer me llamó Perchmann y me dijo no armes la mochila que no jugás contra Progreso. Le pregunté que macana había hecho y me dijo: ninguna, ¡viajas mañana con la selección! Cuando corté me abracé a mi señora y me puse a llorar”. Está hablando el Mono Irrazabal en #QuieroFútbol h
Key Insights & Takeaways
He frequently shares personal and emotional messages, such as farewells to colleagues, indicating a personal touch in his content. His tweets often include references to specific sports events and teams, suggesting a focus on local and national sports news. He occasionally shares behind-the-scenes or humorous content, such as the photo from the Segunda División, which adds a more casual and relatable element to his profile.
Strengths
- + Established follower base of 223,286
- + 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 @Roberto_Moar reveals an growing Twitter presence with 223,286 followers. The account demonstrates a content-creator strategy, averaging 40.5 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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