RADIO DISNEY
Your music, your way.
2.119.127
Followers
4.404
Following
41.016
Tweets
3.020,4
Avg Engagement
2.580
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @radiodisney'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:2009-09-26
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3.228
- Avg Likes per Tweet:1.753,5
- Avg Retweets per Tweet:1.266,9
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.228 tweetsRadiodisney's tweets receive an average of 100,642 likes and 22,365 retweets, indicating strong audience interaction. The content is well-received and widely shared.
1.753,5
Avg Likes/Tweet
1.266,9
Avg Retweets/Tweet
5.660.249
Total Likes
4.089.530
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
128
Median Likes
23
Median Retweets
613
75th Percentile
575.159
Top Tweet
1,43
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
76,0%
Original
9,4%
Replies
11,8%
Retweets
2,9%
Quotes
0,0%
Threads
0,6%
With Media
82,6%
With Links
66,2%
With #Tags
86,1%
With @Mentions
40,3%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,12
Reply/Original Ratio
0,24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77,1%
Weekday Posts
22,9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.228 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 380 retweets (12% 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 3.228 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 primarily consists of music and K-pop fans, with a strong interest in celebrity culture and entertainment news. They are likely young adults and teenagers.
Average
Audience Quality
32,6%
Suspicion Index
35,5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36,0%
Empty Bio
48,5%
<10 Tweets
5,1%
Mass Following (>2K)
0,0%
New (<90 days)
78,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,5%
No URL
35,0%
<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.
12.660.915
Total Potential Reach
4
Median Follower Reach
24
75th Percentile Reach
1,5%
>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).
29,7%
Creators
14.842 accounts
21,8%
Consumers
10.916 accounts
48,5%
Dormant
24.242 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):
159
Verified Followers
0.16% of total
10.209
Protected Accounts
10.11% of total
3 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 | 14.105.925 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RitaOra | 6.471.936 | Singer | Music, Fashion, Beauty |
| @heyoonjeong_ | 696.331 | Dancer | K-pop, Dance, Now United |
| @WORLDMUSICAWARD | 506.809 | Music Awards | music, awards, international |
| @dameliofamily | 463.146 | Influencers | Family, TikTok, Entertainment |
| @25Days | 379.150 | Entertainment | Christmas, TV, Holidays |
| @scottisbell_ | 306.437 | Singer | Pop music, Actor, Michael Jackson |
| @TXTCHART_KR | 285.944 | Fan Account | K-pop, TXT, Japanese culture |
| @robtswthrayguns | 259.599 | Inventor | synthwave, NFT, NSFW |
| @JoelCorry | 239.688 | Music Manager | Music, DJing, Management |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68.265
Followers With Bio
32.734
Followers Without Bio
67.59%
% With Bio
32.41%
% 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.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.228 analyzed1.774.112
Combined Engagement
0
Total Likes
1.774.112
Total Retweets
354.822
Avg per Tweet
Key Metrics for Viral Tweets
40%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @BigHitEnt: #BTS #방탄소년단 #BTS_Dynamite Teaser Photo https://t.co/Pf9oe31gjh
RT @BigHitEnt: #BTS #방탄소년단 #BTS_Dynamite Teaser Photo https://t.co/aRheuHoYbt
RT @BigHitEnt: #BTS #방탄소년단 <Dynamite> Official Teaser (https://t.co/o5d3lDueHW) #BTS_Dynamite
RT @rihanna: lift me up 10.28.22 https://t.co/hIvhUQP8Bj
RT @MarvelStudios: "I’m done running from my past." Watch the new teaser trailer for Marvel Studios’ #BlackWidow. In theaters May 1, 2020.…
Key Insights & Takeaways
The account frequently collaborates with K-pop artists and their teams, which drives engagement. It uses emojis and hashtags effectively to connect with its audience and create a sense of community. The content often includes multimedia elements like GIFs and links, enhancing user interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2.119.127
- + 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 @radiodisney reveals an exceptionally influential Twitter presence with 2.119.127 followers. The account demonstrates a content-creator strategy, averaging 3.020,4 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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