Canal 9 Televida
Somos el canal líder en Mendoza. Miranos en vivo en https://elnueve.com/
59,629
Followers
254
Following
27,771
Tweets
1.6
Avg Engagement
87
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Canal9Televida'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: Mid-Tier (10K+)
- Account Age:2010-02-28
- Verification:No
- Location:Mendoza, Argentina
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.4
- Avg Retweets per Tweet:0.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account averages 117 likes and 28 retweets per tweet, indicating a moderate level of interaction. The engagement is likely driven by local interest and timely content.
1.4
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
4,518
Total Likes
695
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
443
Top Tweet
0.03
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
99.7%
Original
0.1%
Replies
0.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
99.9%
With Links
94.1%
With #Tags
8.7%
With @Mentions
44.5%
With Emojis
180
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
86.6%
Weekday Posts
13.4%
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.
The 6 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 10,000 followersThe primary audience is likely residents of Mendoza and people interested in local news and events. The content is tailored to engage a regional audience with a focus on real-time updates.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
100.0%
<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.
782,190
Total Potential Reach
1
Median Follower Reach
8
75th Percentile Reach
0.8%
>1K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
730
Protected Accounts
7.3% of total
2 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 |
|---|---|---|---|
| @prnoticias | 76,071 | Media | Communication, Marketing, Journalism |
| @ObrasRiverPlate | 51,510 | Sports News | River Plate, football, fan community |
| @jualtorres | 35,038 | - | - |
| @gonzalomamut | 34,136 | - | - |
| @noticieronueve | 31,110 | - | - |
| @FdeIzquierda | 24,521 | - | - |
| @MendozaToday | 24,501 | - | - |
| @isamilanga | 22,035 | - | - |
| @subturismo | 21,443 | - | - |
| @mihoroscopoxdia | 21,374 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,482
Followers With Bio
6,518
Followers Without Bio
34.82%
% With Bio
65.18%
% 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 analyzed1,132
Combined Engagement
930
Total Likes
202
Total Retweets
226
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
[#granhermano] @Marcosginocchio explicó cómo es la relación con su familia que se encuentra dispersa en varios países 🌎 https://t.co/co6a0MI8wG
#Urgente Fuerte temblor en Mendoza, ¿Lo sentiste? Mandanos tu reporte
[#ReplayMusic] Cupido ya tiene fecha de estreno!🔥❤ 👉 Hoy a las 7 pm ARGENTINA se va a estrenar el nuevo tema de @tinistoessel! . . #Music #Estreno #Cupido #SanValentin https://t.co/xceNfbPC4b
[#vendimiaenel9] La nueva Reina Nacional de la Vendimia 2023, @Anaaverdee , habló sobre las duras críticas que recibió por las redes sociales 😨 https://t.co/wXAGY7thmB
[#replaymusic ] El emotivo tema de Flor Vigna 🎶 👉🏻 @flor_vigna compartió este video cantando a capella y explicó el contexto en el que se creó la canción: https://t.co/Z0ajHBcUBk
Key Insights & Takeaways
The account frequently shares content related to local events and personalities, which helps maintain relevance and engagement. It uses hashtags to increase visibility and encourage user participation. The account is active in reporting on local emergencies and community issues, which can boost trust and follower interaction.
Strengths
- + Established follower base of 59,629
- + 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 @Canal9Televida reveals an growing Twitter presence with 59,629 followers. The account demonstrates a content-creator strategy, averaging 1.6 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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