Rodrigo Battaglia
22,920
Followers
558
Following
1,683
Tweets
708.8
Avg Engagement
87
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RodriBattaglia'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: Mid-Tier (10K+)
- Account Age:2010-09-27
- Verification:No
- Location:Bello Horizonte, Brasil
Data Summary
- Tweets Analyzed:1,638
- Avg Likes per Tweet:21.8
- Avg Retweets per Tweet:686.9
- Followers Analyzed:20,398
Engagement Analysis
Based on 1,638 tweetsThe account has a high average number of likes and moderate retweets, indicating a relatively engaged audience.
21.8
Avg Likes/Tweet
686.9
Avg Retweets/Tweet
35,715
Total Likes
1,125,221
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
12
75th Percentile
727,560
Top Tweet
30.92
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
53.3%
Original
27.7%
Replies
18.9%
Retweets
0.1%
Quotes
0.0%
Threads
0.9%
With Media
26.5%
With Links
10.4%
With #Tags
58.0%
With @Mentions
12.1%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.52
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,638 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 310 retweets (19% 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 1,638 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 20,398 followersThe audience appears to be sports enthusiasts, particularly football fans, and possibly other Twitter users interested in sports discussions.
Average
Audience Quality
23.6%
Suspicion Index
33.0%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.0%
Empty Bio
29.8%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
45.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.4%
No URL
20.9%
<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.
60,094,279
Total Potential Reach
46
Median Follower Reach
209
75th Percentile Reach
5.7%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.3%
Creators
10,868 accounts
16.9%
Consumers
3,452 accounts
29.8%
Dormant
6,078 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):
85
Verified Followers
0.42% of total
1,797
Protected Accounts
8.81% of total
9 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 | 14,106,749 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LaLiga | 11,523,746 | Sports League | Football, Soccer, International |
| @verified | 4,201,480 | - | - |
| @C5N | 3,005,858 | News Outlet | Travel, Photography, News |
| @VarskySports | 2,060,267 | - | - |
| @rodridepaul | 767,373 | - | - |
| @ESPNFutbolArg | 674,946 | Sports Journalist | Fútbol, Torneos, Noticias |
| @askomartin | 595,369 | Broadcaster | Sports, Broadcasting, Marketing |
| @El_Ciudadano | 580,211 | Journalist | Prensa, Libertaria, Denuncia |
| @SofascoreBR | 564,377 | Sports Data | sports, statistics, live scores |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,209
Followers With Bio
9,189
Followers Without Bio
54.95%
% With Bio
45.05%
% 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 1,638 analyzed926,058
Combined Engagement
0
Total Likes
926,058
Total Retweets
185,212
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @gnuman1979: Quarantine day 6. https://t.co/er652Oy3Ki
RT @fifaworldcup_es: 1986 🏆🇦🇷🏆 2022 https://t.co/KQQpIJrb2d
RT @Jesusms_01: Llega al cora✨ https://t.co/nzWNyNT4Q7
RT @gastonedul: https://t.co/u2ReIpq4eC
RT @Argentina: ¡Qué cierre de año maravilloso! 😍 ¡¡Felicidades para todos y todas!! 🥂 Gracias, 2022. No te vamos a olvidar nunca. Vení, 2023, acá te esperamos... 🤭😅 ⭐⭐⭐🇦🇷 https://t.co/kpDkjtVhqt
Key Insights & Takeaways
The user frequently interacts with sports figures and teams, suggesting a strong interest in football. The content includes both celebratory and critical messages, showing a balanced approach to sports commentary. The user uses emojis and hashtags to enhance engagement and visibility of their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 22,920
- + 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 @RodriBattaglia reveals an well-established Twitter presence with 22,920 followers. The account demonstrates a content-creator strategy, averaging 708.8 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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