Marco Sifuentes 🧨
todos los días en #LaEncerrona
422,436
Followers
3,529
Following
198,906
Tweets
1,238.2
Avg Engagement
978
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ocram'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:2007-04-03
- Verification:No
- Location:Madrid
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:30.7
- Avg Retweets per Tweet:1,207.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweetsThe account maintains a steady level of engagement with its followers, indicating a loyal audience. The average likes and retweets per tweet suggest a moderate level of interaction.
30.7
Avg Likes/Tweet
1,207.5
Avg Retweets/Tweet
99,035
Total Likes
3,896,491
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
26
Median Retweets
365
75th Percentile
81,663
Top Tweet
2.93
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
4.5%
Original
3.7%
Replies
89.9%
Retweets
1.9%
Quotes
0.0%
Threads
0.2%
With Media
32.8%
With Links
21.7%
With #Tags
94.8%
With @Mentions
9.8%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.84
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.6%
Weekday Posts
18.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 2,902 retweets (90% 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 3,227 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 followersThe audience appears to be interested in current events, politics, and social issues. The use of hashtags and links suggests a focus on news and public discourse.
Below Average
Audience Quality
37.8%
Suspicion Index
53.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.4%
Empty Bio
55.4%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
80.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
43.3%
<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.
13,090,198
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.4%
>1K followers
0.3%
>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).
23.8%
Creators
11,912 accounts
20.8%
Consumers
10,408 accounts
55.4%
Dormant
27,680 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):
98
Verified Followers
0.1% of total
5,857
Protected Accounts
5.8% of total
3 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 |
|---|---|---|---|
| @RicardoMoran | 1,884,090 | Producer | Family, Reasoning, Representation |
| @AlertaNews24 | 1,378,105 | News Outlet | Noticias, Mundo, Tiempo Real |
| @Reportero24 | 945,850 | - | - |
| @GutyCarreraT | 793,759 | Opinionista | Opinion, Racing, Personal |
| @JesusCintora | 541,007 | Periodista | Periodista, Presentador, Programa de TV |
| @katiacondos | 472,184 | Actriz | Actriz, Conductora de TV |
| @455k_ | 455,927 | - | - |
| @RadioOasisFM | 454,989 | - | - |
| @sovietvisuals | 412,552 | Curator | photography, architecture, propaganda art |
| @bareto | 378,231 | Musician | Cumbia, Peru, Music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,826
Followers With Bio
58,171
Followers Without Bio
42.4%
% With Bio
57.6%
% 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 3,227 analyzed282,864
Combined Engagement
0
Total Likes
282,864
Total Retweets
56,573
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MNateShyamalan: are you serious https://t.co/em1WRZzl85
RT @ladygaga: Folie à Deux 🃏 https://t.co/gEwSgsvpbP
RT @PopBase: South Korea has recognized the rights of a same-sex couple for the first time in the country’s history. In the landmark decis…
RT @ComentaEpico: Cómo olvidar 🫶 https://t.co/07BKZ1bKSe
RT @iamharaldur: Hi again @elonmusk 👋 I hope you are well. I’m fine too. I’m thankful for your interest in my health. But since you me…
Key Insights & Takeaways
The account frequently shares news and commentary on political and social issues The content includes links to articles and statements from public figures The use of hashtags like #LaEncerrona suggests a focus on daily news and discussions
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 422,436
- + 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 @ocram reveals an exceptionally influential Twitter presence with 422,436 followers. The account demonstrates a content-creator strategy, averaging 1,238.2 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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