Marvel España
MÁS ALTO. MÁS LEJOS. MÁS RÁPIDO. JUNTAS 💪 #TheMarvels, ya en cines.
343,302
Followers
353
Following
13,405
Tweets
1,076.0
Avg Engagement
776
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarvelSpain'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:2014-01-16
- Verification:Yes
- Location:España
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:732.6
- Avg Retweets per Tweet:343.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account has high engagement with an average of 20,618 likes and 5,039 retweets per tweet, showing strong audience interaction. The content often includes emotional and community-focused messages that resonate with followers.
732.6
Avg Likes/Tweet
343.5
Avg Retweets/Tweet
2,379,454
Total Likes
1,115,530
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
268
Median Likes
34
Median Retweets
1,001
75th Percentile
188,470
Top Tweet
3.13
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
64.9%
Original
29.4%
Replies
4.0%
Retweets
1.7%
Quotes
0.0%
Threads
0.0%
With Media
76.8%
With Links
47.3%
With #Tags
40.1%
With @Mentions
33.6%
With Emojis
127
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.4%
Weekday Posts
20.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 131 retweets (4% 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 3,248 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 is primarily Spanish-speaking Marvel fans who are interested in the latest movie releases and behind-the-scenes content. They are likely to be passionate about the Marvel universe and its characters.
Average
Audience Quality
33.4%
Suspicion Index
45.5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
51.0%
<10 Tweets
4.0%
Mass Following (>2K)
0.0%
New (<90 days)
70.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
39.3%
<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.
32,239,871
Total Potential Reach
4
Median Follower Reach
29
75th Percentile Reach
1.6%
>1K followers
0.2%
>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).
29.5%
Creators
14,740 accounts
19.6%
Consumers
9,778 accounts
51.0%
Dormant
25,482 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):
157
Verified Followers
0.16% of total
9,239
Protected Accounts
9.24% 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 |
|---|---|---|---|
| @JohnCena | 14,103,433 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JuanSGuarnizo | 8,505,156 | Streamer/Youtuber | Gaming, YouTube, Fitness |
| @uncafeconletras | 3,011,613 | Writer | Books, Coffee, Emotions |
| @IamCristinini | 1,703,317 | Presentadora | TV, humor, directos |
| @aroiagarcia | 1,697,760 | Influencer | YouTube, internet, content creation |
| @byViruZz | 1,121,912 | Influencer | Gaming, Entertainment, Influencer |
| @KOI | 691,479 | - | - |
| @LakshartNia | 656,501 | Content Creator | Twitch, KOI, Content Creation |
| @imantadotv | 559,202 | Streamer | Videojuegos, Streaming, Moda |
| @LuisCarlos | 523,329 | Strategist | One Piece, Tecnologías, Política |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,187
Followers With Bio
46,813
Followers Without Bio
53.19%
% With Bio
46.81%
% 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 3,248 analyzed578,897
Combined Engagement
0
Total Likes
578,897
Total Retweets
115,779
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @rihanna: lift me up 10.28.22 https://t.co/hIvhUQP8Bj
RT @chrishemsworth: Not sure why everyone’s so worried about Thor, he’s fine guys... https://t.co/GTbprK1l0c
RT @MarvelStudios: From the end credits to the endgame...
RT @MarvelStudios: Screenshot. Share. #DontSpoilTheEndgame https://t.co/mhW7uOqMIr
RT @ChrisEvans: Happy #Endgame Day!! https://t.co/CFipXu5uUj
Key Insights & Takeaways
The account uses emotional and community-driven content to connect with its audience. It promotes Marvel films and events, often with a focus on Spanish-speaking markets. The use of hashtags and links suggests a strategy to drive traffic and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 343,302
- + 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 @MarvelSpain reveals an exceptionally influential Twitter presence with 343,302 followers. The account demonstrates a content-creator strategy, averaging 1,076.0 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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