TNT™ América Latina
Pasa en X. Pasa en TNT.
2.400.361
Followers
11.675
Following
63.890
Tweets
169,0
Avg Engagement
4.673
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TNTLA'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:2009-04-30
- Verification:Yes
- Location:América Latina
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:146,2
- Avg Retweets per Tweet:22,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.250 tweetsTNTLA's tweets receive an average of 9,260 likes and 1,626 retweets, indicating strong audience interaction. The content is well-received, with high engagement on posts featuring celebrities and events.
146,2
Avg Likes/Tweet
22,8
Avg Retweets/Tweet
475.142
Total Likes
74.222
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
1
Median Retweets
80
75th Percentile
14.982
Top Tweet
0,07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
38,4%
Original
57,1%
Replies
0,1%
Retweets
4,4%
Quotes
0,0%
Threads
0,0%
With Media
49,4%
With Links
44,9%
With #Tags
55,1%
With @Mentions
59,0%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,49
Reply/Original Ratio
35,75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
89,9%
Weekday Posts
10,1%
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 account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 4 retweets (0% 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 3.250 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 audience is primarily Spanish-speaking fans of Latin music and entertainment. The account appeals to those interested in Latin Grammy and Oscar events, as well as celebrity culture.
Average
Audience Quality
30,3%
Suspicion Index
36,7%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46,1%
Empty Bio
39,4%
<10 Tweets
5,7%
Mass Following (>2K)
0,0%
New (<90 days)
70,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,3%
No URL
27,2%
<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.
33.684.416
Total Potential Reach
8
Median Follower Reach
48
75th Percentile Reach
2,5%
>1K followers
0,3%
>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).
38,7%
Creators
19.336 accounts
21,9%
Consumers
10.951 accounts
39,4%
Dormant
19.713 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):
133
Verified Followers
0.13% of total
9.503
Protected Accounts
9.5% 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 |
|---|---|---|---|
| @JohnCena | 14.106.313 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ecuavisa | 2.971.484 | Television Broadcasting | televisión, Ecuador, noticias |
| @emartineeez | 1.552.620 | Influencer | Motivation, Possibilities, Inspiration |
| @enchufetv | 1.502.630 | Comedy | Comedy, Skits, Entertainment |
| @HBOMaxBR | 1.158.144 | Sports Streaming | Futebol, Esportes, Streaming |
| @brandon_meza | 1.046.458 | Manager | Dancing, Entertainment, Management |
| @WalterNajeraG | 895.761 | Politician | Politics, Leadership, Guatemala |
| @ntvgoficial | 884.695 | Musician | Music, Touring, Dates |
| @carlitosvargasm | 792.283 | Presentador | Música, Viajar, Reír |
| @melipandda | 608.664 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58.972
Followers With Bio
41.028
Followers Without Bio
58.97%
% With Bio
41.03%
% 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 analyzed65.225
Combined Engagement
56.895
Total Likes
8.330
Total Retweets
13.045
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Yendo no, llegando 🥵 📷 Peter Lanzani https://t.co/pMhIuDgrU4
Llegaron los MUCHAAACHOOO🇦🇷🤩 #Oscars https://t.co/yhQ5gvMhsn
Buscamos perfección en el diccionario y nos salió @keniaos 😍🔥 #LatinGrammyTNT #LatinGrammyTNT 📸Kenia Os https://t.co/I0QzUsRIbf
Tuit de apreciación a Jimin en el día de su cumpleaños 💜 #BTSJIMIN https://t.co/A92fHQghNB
¿Quién tiene el fandom más fuerte? Comenta con el #AMAsTNT https://t.co/chPU6IYZ81
Key Insights & Takeaways
The account focuses on promoting Latin music and entertainment events. It frequently collaborates with celebrities and influencers like Kenia Os and Peter Lanzani. High engagement suggests a loyal and active audience interested in Latin culture and awards shows.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2.400.361
- + High community engagement through conversations
- + 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 @TNTLA reveals an well-established Twitter presence with 2.400.361 followers. The account demonstrates a conversation-first approach, averaging 169,0 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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