Rodra
@relevo
12,930
Followers
988
Following
23,026
Tweets
656.9
Avg Engagement
93
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rodra10_97'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:2012-04-22
- Verification:No
- Location:Instagram: rodritaa10
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:36.0
- Avg Retweets per Tweet:620.9
- Followers Analyzed:5,951
Engagement Analysis
Based on 598 tweetsThe user's tweets receive a moderate to high level of engagement, with an average of 1,216 likes and 144 retweets per tweet. This suggests a dedicated and active audience.
36.0
Avg Likes/Tweet
620.9
Avg Retweets/Tweet
21,523
Total Likes
371,304
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
38
75th Percentile
180,903
Top Tweet
50.8
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
37.5%
Original
38.1%
Replies
22.9%
Retweets
1.5%
Quotes
0.0%
Threads
0.0%
With Media
25.8%
With Links
1.5%
With #Tags
63.7%
With @Mentions
29.6%
With Emojis
120
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 137 retweets (23% 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 598 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 5,951 followersThe audience is primarily football fans, especially those interested in Real Madrid and Spanish football. They are likely to be engaged with sports news and commentary.
Good
Audience Quality
14.4%
Suspicion Index
16.8%
Low-Quality %
205
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.5%
Empty Bio
7.4%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
26.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.4%
No URL
4.2%
<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.
36,989,166
Total Potential Reach
205
Median Follower Reach
559
75th Percentile Reach
17.0%
>1K followers
3.2%
>10K followers
1.0%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
82.4%
Creators
4,901 accounts
10.3%
Consumers
612 accounts
7.4%
Dormant
438 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):
182
Verified Followers
3.06% of total
521
Protected Accounts
8.75% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,414,998 | Journalist | Football, Transfers, News |
| @diarioas | 3,257,227 | Sports News | Deporte, Noticias, Directo |
| @miguelhotero | 1,927,612 | Journalist | Politics, Journalism, Leadership |
| @As_TomasRoncero | 1,751,341 | Journalist | Real Madrid, Deportes, Periodismo |
| @AdriRM33 | 749,688 | Football Fan | Football, Real Madrid, Passion |
| @MadridXtra | 735,369 | Sports News | Real Madrid, updates, transfer news |
| @theMadridZone | 640,941 | Sports News | Real Madrid, UCL, updates |
| @levmauc | 509,507 | Cinephile | cine, series, podcast |
| @Champ_Payne | 466,708 | Author | Author, Entrepreneur, Leadership |
| @OnlyVikingos | 398,668 | Football Fan | Football, Real Madrid, Passion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,196
Followers With Bio
1,755
Followers Without Bio
70.51%
% With Bio
29.49%
% 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 598 analyzed345,582
Combined Engagement
0
Total Likes
345,582
Total Retweets
69,116
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @KMbappe: Zidane c’est la France, on manque pas de respect à la légende comme ça… 🤦🏽♂️
RT @M10: Thank you ❤️ https://t.co/Aqr4pB5SI2
RT @JesusSanchez__: Compartid, por favor. Consigamos entre todos que los Reyes Magos le traigan a Alberto el mejor regalo. 🙏 👉 Alberto, e…
RT @GarethBale11: Unbelievable performance 💪🏼
RT @nocontextfooty: https://t.co/sRRQnPO0tn
Key Insights & Takeaways
The user frequently discusses Real Madrid's performance and tactics, such as penalty kicks and player behavior. They often share news about the club's interactions with other teams and players. Their content includes both direct commentary and links to external sources for more information.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,930
- + High community engagement through conversations
- + 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 @Rodra10_97 reveals an well-established Twitter presence with 12,930 followers. The account demonstrates a conversation-first approach, averaging 656.9 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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