MARCA in English 🇺🇸
Let’s talk about sports ⚽️🏀🏈🎾🥊
225,389
Followers
252
Following
114,078
Tweets
21.7
Avg Engagement
2,017
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MARCAinENGLISH'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:2012-05-14
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:19.9
- Avg Retweets per Tweet:1.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a consistent engagement rate with an average of 608 likes and 89 retweets per tweet. The use of humor and trending topics helps drive interaction.
19.9
Avg Likes/Tweet
1.9
Avg Retweets/Tweet
64,580
Total Likes
6,060
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
24
75th Percentile
2,477
Top Tweet
0.1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.9%
Original
0.1%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.3%
With Media
99.8%
With Links
2.1%
With #Tags
1.7%
With @Mentions
39.9%
With Emojis
89
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
76.5%
Weekday Posts
23.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 football fans interested in transfers and player news. The account also appeals to casual sports enthusiasts looking for entertainment and analysis.
Average
Audience Quality
28.5%
Suspicion Index
29.3%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
32.2%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
66.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
20.4%
<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.
20,953,807
Total Potential Reach
23
Median Follower Reach
114
75th Percentile Reach
4.1%
>1K followers
0.4%
>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).
42.9%
Creators
21,450 accounts
24.9%
Consumers
12,465 accounts
32.2%
Dormant
16,085 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):
231
Verified Followers
0.23% of total
8,783
Protected Accounts
8.7% 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 |
|---|---|---|---|
| @Carra23 | 2,197,520 | Football Pundit | Football, TV punditry, Charity |
| @sportbible | 2,086,194 | Sports Media | Sport, Lifestyle, Entertainment |
| @KameronBennett | 1,816,819 | DJ | Music, DJing, Booking |
| @robertmarawa | 1,425,093 | Sports Journalist | Sports, Broadcasting, Africa |
| @legitngnews | 1,034,335 | News Outlet | politics, business, entertainment |
| @LuisOmarTapia | 894,084 | Sports commentator | Soccer, Champions League, Commentator |
| @ASRomaEN | 719,266 | Sports Team | Football, Soccer, Sports |
| @PurelyFootball | 613,574 | Football News | Transfer News, Premier League, Fans |
| @LTorreira34 | 503,774 | Footballer | Football, Atlético Madrid, Uruguay |
| @bayer04_en | 453,963 | Sports Team | Football, Bundesliga, Leverkusen |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,133
Followers With Bio
36,863
Followers Without Bio
63.5%
% With Bio
36.5%
% 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 3,250 analyzed5,006
Combined Engagement
4,325
Total Likes
681
Total Retweets
1,001
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Cristiano Ronaldo is more popular than the World Cup final! 🐐 https://t.co/PgvVMtV4Ln
Gabriel Jesus to Real Madrid? The Spanish club wanted him before and he is an option again. https://t.co/q9WfsuMbKA
It increases both the satisfaction of the person getting the Botox and his partner, in this case Georgina Rodriguez https://t.co/IqtDHIElTa
Yes, WhatsApp is down. Here's all you need to know. #WhatsAppDown https://t.co/IolsmoBGmV
A great future with Raphinha and Kessié? 😀😀😀 https://t.co/rAsJSzQzZ8
Key Insights & Takeaways
The account often highlights high-profile players and transfers, which drives interest and engagement. It uses emojis and casual language to make content more relatable and shareable. The focus on football, with occasional mentions of other sports, helps maintain a broad appeal.
Strengths
- + Established follower base of 225,389
- + 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 @MARCAinENGLISH reveals an growing Twitter presence with 225,389 followers. The account demonstrates a content-creator strategy, averaging 21.7 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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