Carmen Boquín
SUEÑA & VIVIRÁS Periodista Deportiva
358,924
Followers
16,271
Following
57,130
Tweets
487.5
Avg Engagement
580
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CarmenBoquin'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:2009-04-29
- Verification:No
- Location:Miami
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:32.1
- Avg Retweets per Tweet:455.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,192 tweetsHer tweets typically receive a moderate number of likes and retweets, indicating a consistent but not overwhelming level of audience interaction. The engagement is likely driven by her niche content and trending topics.
32.1
Avg Likes/Tweet
455.4
Avg Retweets/Tweet
102,462
Total Likes
1,453,586
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
48
75th Percentile
115,939
Top Tweet
1.36
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
27.9%
Original
28.1%
Replies
35.7%
Retweets
8.3%
Quotes
0.0%
Threads
0.1%
With Media
42.7%
With Links
48.0%
With #Tags
74.2%
With @Mentions
44.4%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 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 1,138 retweets (36% 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 3,192 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 followersHer audience includes sports fans and followers of entertainment content. The mix of sports and cultural topics suggests a diverse and engaged community.
Below Average
Audience Quality
36.9%
Suspicion Index
49.5%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
62.1%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
75.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.3%
No URL
47.3%
<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.
24,591,660
Total Potential Reach
3
Median Follower Reach
15
75th Percentile Reach
1.0%
>1K followers
0.1%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
18.6%
Creators
9,320 accounts
19.2%
Consumers
9,615 accounts
62.1%
Dormant
31,065 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):
133
Verified Followers
0.13% of total
6,075
Protected Accounts
6.02% of total
5 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 | 14,103,750 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,035,726 | - | - |
| @etnow | 1,942,240 | Entertainment | Entertainment, ET, News |
| @miguelhotero | 1,929,143 | Journalist | Politics, Journalism, Leadership |
| @MichelPesquera | 1,905,736 | Adventurer | Mountaineer, MTB, Scuba diver |
| @CARLOSLGUERRERO | 1,749,587 | Athlete | Warrior, Exaggeration, Rest |
| @CSuiteConfess | 1,004,414 | Executive Coach | #MeToo, Executives, Navigating |
| @ZachBoychuk | 829,550 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @AlvaritoMorales | 675,013 | Journalist | transportation, travel, history |
| @Paco_Villa_ | 588,312 | Sports commentator | fútbol, narrador, colimense |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,417
Followers With Bio
62,575
Followers Without Bio
38.04%
% With Bio
61.96%
% 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 3,192 analyzed419,379
Combined Engagement
0
Total Likes
419,379
Total Retweets
83,876
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @GameOfThrones: Every battle. Every betrayal. Every risk. Every fight. Every sacrifice. Every death. All #ForTheThrone. https://t.…
RT @PSG_inside: Paris Saint-Germain is very happy to announce the arrival of Neymar Jr ➡ https://t.co/lKFj4qPDYA #BemvindoNeymarJR 🇧🇷 http…
RT @realmadrid: Comunicado Oficial: @hazardeden10. #WelcomeHazard | #RealMadrid
RT @juventusfc: @cristiano https://t.co/88xFtX3Xw4 #CR7Juve https://t.co/nnG0N4074U
RT @PSG_inside: Taillé pour Paris ! https://t.co/yBYMkX02rD
Key Insights & Takeaways
She frequently references popular culture, such as Game of Thrones, which helps attract a wider audience. Her content often includes emotional or inspirational messages, which resonate with her followers. She covers both sports and cultural topics, suggesting a versatile and broad appeal.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 358,924
- + 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 @CarmenBoquin reveals an well-established Twitter presence with 358,924 followers. The account demonstrates a conversation-first approach, averaging 487.5 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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