NATTI NATASHA
3,188,262
Followers
510
Following
57,270
Tweets
1,149.7
Avg Engagement
674
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NattiNatasha'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: Mega Influencer (1M+)
- Account Age:2009-10-16
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:587
- Avg Likes per Tweet:1,068.0
- Avg Retweets per Tweet:81.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 587 tweetsHer tweets typically receive high engagement, with an average of 18,814 likes and 960 retweets per post.
1,068.0
Avg Likes/Tweet
81.7
Avg Retweets/Tweet
626,901
Total Likes
47,969
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
545
Median Likes
49
Median Retweets
1,158
75th Percentile
61,537
Top Tweet
0.36
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
47.5%
Original
6.3%
Replies
38.3%
Retweets
7.8%
Quotes
0.0%
Threads
0.0%
With Media
58.9%
With Links
31.3%
With #Tags
49.7%
With @Mentions
61.2%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.2%
Weekday Posts
19.8%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 587 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 225 retweets (38% 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 587 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 primarily consists of fans from the Spanish-speaking community, including women in the entertainment industry.
Below Average
Audience Quality
48.8%
Suspicion Index
78.4%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
79.1%
Empty Bio
87.4%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
89.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.6%
No URL
77.6%
<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.
4,807,458
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.3%
>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).
4.7%
Creators
2,334 accounts
8.0%
Consumers
3,980 accounts
87.4%
Dormant
43,686 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):
50
Verified Followers
0.05% of total
12,667
Protected Accounts
12.67% 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 |
|---|---|---|---|
| @JAlvarezFlow | 3,485,262 | Singer | Music, Reggaeton, Latin |
| @Valeria_Martell | 1,537,999 | Influencer | Fashion, Mexico, Contact |
| @zabdiel1344 | 843,501 | Singer | Music, Alien, Fun |
| @iownjd | 779,543 | Lawyer | learn, inspire, engage |
| @CositalindaA03 | 748,191 | - | - |
| @CesarPachonAgro | 298,868 | Agronomist | social leadership, agriculture, engineering |
| @JavierFeverPR | 139,445 | - | - |
| @SistemaCarabobo | 99,572 | Emergency Services | Protección Civil, Gestión de Riesgo, Bomberos |
| @theraw_team | 84,557 | Adult performer | Production, Adult model, Live Sex performer |
| @luciaeugenia | 68,776 | Journalist | Journalism, Broadcasting, Award |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
22,588
Followers With Bio
77,412
Followers Without Bio
22.59%
% With Bio
77.41%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 587 analyzed145,545
Combined Engagement
138,016
Total Likes
7,529
Total Retweets
29,109
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Las mujeres no lloran, las mujeres facturan 💸 ♥️
Que mañana y todos los días sean bonitos para ti! Y todas las chicas de la industria! 🌺🌸✨ Felicidades por tu lanzamiento mi @karolg que sigas con esa buena vibra! 💖 https://t.co/zlwgIrdsOC
Ando por Francia 🇫🇷 y me encontré a dos personas…¿Que les parece? Un honor para mi. 🐐🐐 https://t.co/NE8tuGwgAJ
😌 https://t.co/2Y3zonr2zx
Argentina vamosssss ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 🇦🇷
Key Insights & Takeaways
She often shares motivational and empowering messages for her female audience. She promotes her music and collaborates with other artists. She frequently shares personal experiences and travel updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,188,262
- + 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 @NattiNatasha reveals an exceptionally influential Twitter presence with 3,188,262 followers. The account demonstrates a content-creator strategy, averaging 1,149.7 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access