MarvelFlix
Todas las novedades del multiverso #Marvel | Reviews y debates con la comunidad más grande de Argentina de Marvel.
524,125
Followers
281
Following
89,996
Tweets
252.1
Avg Engagement
288
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarvelFlix'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:2017-02-19
- Verification:No
- Location:Buenos Aires, Argentina
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:174.7
- Avg Retweets per Tweet:77.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,198 tweetsThe account has a high average engagement rate with over 8k likes and 800 retweets per tweet. This indicates a loyal and active community that interacts regularly with the content.
174.7
Avg Likes/Tweet
77.4
Avg Retweets/Tweet
558,559
Total Likes
247,500
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
127
75th Percentile
42,617
Top Tweet
0.48
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
27.2%
Original
18.3%
Replies
50.7%
Retweets
3.8%
Quotes
0.0%
Threads
0.0%
With Media
36.6%
With Links
4.1%
With #Tags
68.3%
With @Mentions
13.5%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.7%
Weekday Posts
17.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 1,622 retweets (51% 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 3,198 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 primary audience is Marvel fans in Argentina, with a strong interest in the multiverse and character updates. The account also attracts international followers interested in Spanish-language content.
Below Average
Audience Quality
46.4%
Suspicion Index
72.9%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
78.5%
Empty Bio
78.3%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
88.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.1%
No URL
67.3%
<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.
1,925,658
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.4%
>1K followers
0.0%
>10K followers
0.0%
>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).
9.3%
Creators
4,650 accounts
12.4%
Consumers
6,191 accounts
78.3%
Dormant
39,159 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):
19
Verified Followers
0.02% of total
5,763
Protected Accounts
5.71% of total
1 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 |
|---|---|---|---|
| @gh2022info | 156,347 | - | - |
| @MorelDLeon | 127,270 | - | - |
| @mydisneylatino | 97,495 | Entertainment News | Disney, Latinoamérica, noticias |
| @HsynKrdy | 87,671 | Multitalented | Music, Production, Radio Broadcasting |
| @acero_sandoval | 83,240 | Influencer | love, soulmate, poetry |
| @leandritobello | 63,535 | Columnista | Columnist, Actor, Law |
| @somos_de_chivas | 62,620 | Sports Journalist | Chivas, Cobertura, Equipo |
| @SouhanStrib | 52,470 | - | - |
| @tripolXPapi | 50,029 | Adult entertainer | Adult Content, NSFW, Philippines |
| @ChicaDeJeans | 49,561 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,691
Followers With Bio
75,308
Followers Without Bio
25.44%
% With Bio
74.56%
% 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 3,198 analyzed132,510
Combined Engagement
15,619
Total Likes
116,891
Total Retweets
26,502
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @anothercohen: I was laid off from Twitter this afternoon. I was in charge of managing badge access to Twitter offices. Elon just call…
RT @JamesGunn: Here are just a few of our plans. Up, up, and away! #DCStudios #DCU @DCComics https://t.co/8XNDNLUEPq
NO TENGO PALABRAS https://t.co/a700KM7Xvd
RT @VancityReynolds: My god, #FIFAWorldCup. This game is a gorgeous, evil curse. I love it so much make it stop.
RT @CultureCrave: Hundreds of Twitter employees have resigned ahead of the ‘extremely hardcore’ cultural reset of the company Elon Musk wa…
Key Insights & Takeaways
The account uses trending topics and viral content to boost engagement It focuses on character updates and new releases to maintain relevance It builds a strong community through consistent interaction and local focus
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 524,125
- + 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 @MarvelFlix reveals an well-established Twitter presence with 524,125 followers. The account demonstrates a content-creator strategy, averaging 252.1 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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