Радио ENERGY
Official twitter of Radio ENERGY (NRJ) Russia! https://vk.com/nrj
174,707
Followers
141
Following
17,519
Tweets
5.4
Avg Engagement
218
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ENERGYRussia'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:2010-03-01
- Verification:No
- Location:Россия Москва
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:3.9
- Avg Retweets per Tweet:1.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,199 tweetsThe account maintains a steady level of engagement with an average of 81 likes and 87 retweets per tweet. It often shares content that resonates with its audience, such as birthday wishes and lifestyle tips.
3.9
Avg Likes/Tweet
1.6
Avg Retweets/Tweet
12,448
Total Likes
4,980
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
7
75th Percentile
418
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
99.1%
Original
0.5%
Replies
0.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
18.9%
With Links
89.8%
With #Tags
8.4%
With @Mentions
2.3%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
97.1%
Weekday Posts
2.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 12 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 3,199 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 likely young adults and teenagers interested in pop culture, music, and entertainment. They are active on social media and engage with trending topics and celebrity content.
Below Average
Audience Quality
45.4%
Suspicion Index
65.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.8%
Empty Bio
81.3%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
87.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
63.4%
<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.
2,174,059
Total Potential Reach
1
Median Follower Reach
3
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).
5.3%
Creators
2,637 accounts
13.4%
Consumers
6,711 accounts
81.3%
Dormant
40,652 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):
7
Verified Followers
0.01% of total
2,416
Protected Accounts
2.42% of total
7 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 |
|---|---|---|---|
| @TimatiOfficial | 901,549 | Musician | Music, Business, Entertainment |
| @PleasureEllis | 685,256 | Entertainer | Music, Transformation, Celebration |
| @tawarayat | 518,241 | Technologist | technology, community radio, education |
| @Billboard_Ru | 360,491 | Media | Music, Charts, Entertainment |
| @PSNuta | 245,563 | Unknown | - |
| @JuliaSavicheva | 158,119 | Singer | Music, Concerts, PR |
| @GreatestYi | 157,179 | Politician | politics, youth, social media |
| @MinEnergia | 144,389 | Government Official | Energy, Ministry, Chile |
| @TheSwaggManTV | 139,715 | Influencer | Business, Miami, Paris |
| @NikolaiBaskov | 128,502 | Singer | Music, Performances, Charity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,485
Followers With Bio
67,515
Followers Without Bio
32.48%
% With Bio
67.52%
% 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 3,199 analyzed1,248
Combined Engagement
529
Total Likes
719
Total Retweets
250
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
У красавчика из #OneDirection день рождения! #HappyBirthdayLiam! #Directioners http://t.co/qqCzCYkXFD
Новый трек #OneDirection должен быть в эфире Радио Energy? Выведи хэштег #energyrussia в тренды и слушай #DragMeDown! http://t.co/JhHNs9vA7z
Невероятно, но уже #5YearsOfOneDirection http://t.co/iRP3TAFiXW
ОВНЫ Вам хочется есть. Причем весь день и в неограниченных количествах. Забить на фигуру или нет – дело ваше! #Горноскоп
ОВНЫ В вашем организме случится обострение интуиции и чувства юмора. Тем, кто окажется рядом с вами, скучать точно не придется. #Горноскоп
Key Insights & Takeaways
The account frequently references popular music groups like One Direction, indicating a focus on youth-oriented content. It uses hashtags and trending topics to increase visibility and engagement. The content often blends entertainment with lifestyle advice, appealing to a broad audience.
Strengths
- + Established follower base of 174,707
- + 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 @ENERGYRussia reveals an growing Twitter presence with 174,707 followers. The account demonstrates a content-creator strategy, averaging 5.4 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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