LTV Panorāma
LTV Ziņu dienesta raidījums "Panorāma" ēterā jau vairāk nekā 60 gadu! Šajā laikā kopā esam bijuši gan valstij nozīmīgos notikumos, gan arī ikdienā.
59,632
Followers
240
Following
23,791
Tweets
23.7
Avg Engagement
469
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ltvpanorama'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:2009-03-03
- Verification:No
- Location:Zaķusala, Rīga, Latvija
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:18.0
- Avg Retweets per Tweet:5.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsRaidījums iegūst vidēji 1,365 atsauksmes un 207 atkārtotās ziņas, kas liecina par vidēji augstu iesaistīšanos. Ziņas par vēlēšanām un sporta sasniegumiem ir visvairāk iesaistījusies.
18.0
Avg Likes/Tweet
5.8
Avg Retweets/Tweet
58,226
Total Likes
18,626
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
3
Median Retweets
15
75th Percentile
6,052
Top Tweet
0.4
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
65.9%
Original
6.9%
Replies
6.1%
Retweets
21.1%
Quotes
0.0%
Threads
0.0%
With Media
99.2%
With Links
32.0%
With #Tags
61.4%
With @Mentions
31.7%
With Emojis
244
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
3.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 196 retweets (6% 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 3,237 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 followersSekotāji ir interesēti par valsts notikumiem, politiku un svarīgiem notikumiem. Ziņas ir vērsta uz plašu sabiedrību, kas ieinteresēta valsts vēstījumos un svarīgās ziņās.
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)
97.1%
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.
809,281
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.6%
>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
526
Protected Accounts
5.26% 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 |
|---|---|---|---|
| @BlackHalt | 299,418 | Artist | Art, Web coding, Linux |
| @transhumaanists | 77,413 | - | - |
| @saber_mashhour | 56,285 | Journalist | Journalism, News, Media |
| @cairowire | 34,322 | - | - |
| @Mariia_Zolkina | 23,890 | - | - |
| @latvijas_vate | 10,513 | - | - |
| @catincoggnito | 10,317 | - | - |
| @ruzke_politota | 7,932 | - | - |
| @selmuushh | 7,838 | - | - |
| @selga55 | 7,677 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,694
Followers With Bio
7,306
Followers Without Bio
26.94%
% With Bio
73.06%
% 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 3,237 analyzed12,023
Combined Engagement
10,403
Total Likes
1,620
Total Retweets
2,405
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
🔴Būvnieki demontējuši pieminekļa kompleksa centrālo obelisku. https://t.co/WzeSsFxHZz
🔴 Latvijas vīriešu hokeja izlases vārtsargs Artūrs Šilovs atzīts par 2023. gada pasaules čempionāta vērtīgāko spēlētāju un labāko vārtsargu! Šilovs iekļauts arī turnīra simboliskajā pieciniekā. Lepojamies! 🇱🇻 #LielaisHokejs https://t.co/5ZoMLg160e
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Key Insights & Takeaways
Raidījums centrs uz valsts notikumiem un svarīgiem vēstījumiem Ziņas par vēlēšanām un sporta sasniegumiem ir visvairāk iesaistījusies Raidījums ir izveidojis lielu sekotāju bāzi un nodrošina augstu iesaistīšanos
Strengths
- + Established follower base of 59,632
- + 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 @ltvpanorama reveals an growing Twitter presence with 59,632 followers. The account demonstrates a content-creator strategy, averaging 23.7 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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