495,903
Followers
858
Following
20,520
Tweets
417.2
Avg Engagement
882
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @maria_patino'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:2011-07-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:308.7
- Avg Retweets per Tweet:108.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweetsHer tweets typically receive around 4,810 likes and 689 retweets on average, indicating a strong and active engagement with her content.
308.7
Avg Likes/Tweet
108.5
Avg Retweets/Tweet
996,248
Total Likes
350,031
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
16
Median Retweets
442
75th Percentile
37,642
Top Tweet
0.84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
42.9%
Original
0.8%
Replies
26.5%
Retweets
29.8%
Quotes
0.0%
Threads
0.1%
With Media
59.4%
With Links
10.9%
With #Tags
43.9%
With @Mentions
30.0%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
1.13
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.0%
Weekday Posts
29.0%
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 854 retweets (26% 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 followersHer audience is primarily interested in politics, social justice, and public figures, with a focus on Spanish-speaking communities.
Average
Audience Quality
31.6%
Suspicion Index
44.9%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.1%
Empty Bio
44.0%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
63.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
31.7%
<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.
14,047,143
Total Potential Reach
6
Median Follower Reach
48
75th Percentile Reach
2.9%
>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).
35.1%
Creators
17,528 accounts
20.9%
Consumers
10,464 accounts
44.0%
Dormant
22,008 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):
128
Verified Followers
0.13% of total
8,427
Protected Accounts
8.43% of total
4 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 |
|---|---|---|---|
| @AlejandroSanz | 19,785,646 | Singer | Music, Singer, Songwriter |
| @PabloEchenique | 612,569 | Scientist | Science, Politics, Activism |
| @ElHuffPost | 588,190 | News outlet | News, Politics, Culture |
| @ValdebenitoNata | 567,892 | Comediante | Comedy, Radio, Show |
| @IamMzilikazi | 546,400 | Musician | Pan-African music, Album, Rise |
| @lamacope | 544,174 | Sports Journalist | Sports, Journalism, Broadcasting |
| @quiquepeinado | 491,269 | TV Presenter | media, humor, journalism |
| @THE_THEO_FORD | 469,602 | - | - |
| @JuanfraEscudero | 461,942 | - | - |
| @MaggieHeroDog | 412,194 | Service Dog | Golf, Music, Service Dogs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,141
Followers With Bio
54,859
Followers Without Bio
45.14%
% With Bio
54.86%
% 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 analyzed86,479
Combined Engagement
0
Total Likes
86,479
Total Retweets
17,296
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @almuariza: Mujeres iraníes cuentan en este vídeo cómo desafían la opresión. Y cómo se enfrentan a los ataques. Solo por no cubrirse el…
RT @PetaLatinoA: Un violinista tocó 45 minutos en el metro de Nueva York. 4 personas pararon y una aplaudió, logró recaudar 20 dólares. L…
RT @gelhzz: Ha aparecido este perro en el paseo marítimo de Sitges con un golpe de calor y completamente desorientada hace ya varias horas…
RT @abc_es: 🔴 #ÚLTIMAHORA La corresponsal de ABC en Cuba, Camila Acosta, detenida tras informar de las protestas Informa @sgavinabarriuso…
RT @fermincaba: #URGENTE Hoy morirán en España unas 1.500 personas. Una de ellas puede salvar la vida a una niña de 16 años llamada María,…
Key Insights & Takeaways
She frequently engages with political figures and social issues, often using hashtags to highlight key topics. Her tweets often reference specific cases or individuals, suggesting a focus on real-world events and personal stories. She uses her platform to comment on public figures and social justice, indicating a role as a commentator and critic.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 495,903
- + 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 @maria_patino reveals an well-established Twitter presence with 495,903 followers. The account demonstrates a content-creator strategy, averaging 417.2 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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