MTV UK ❄️
MTV in your area ❄️
2,396,303
Followers
11,115
Following
112,844
Tweets
1,057.2
Avg Engagement
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MTVUK'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:2008-10-16
- Verification:Yes
- Location:London, UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:777.6
- Avg Retweets per Tweet:279.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains high engagement through viral content and celebrity mentions, such as Blackpink and BTS members.
777.6
Avg Likes/Tweet
279.6
Avg Retweets/Tweet
2,527,129
Total Likes
908,762
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
28
Median Likes
3
Median Retweets
128
75th Percentile
296,276
Top Tweet
0.44
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
70.4%
Original
25.4%
Replies
2.6%
Retweets
1.6%
Quotes
0.0%
Threads
0.2%
With Media
69.4%
With Links
38.6%
With #Tags
58.6%
With @Mentions
71.8%
With Emojis
109
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.7%
Weekday Posts
13.3%
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 83 retweets (3% 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 likely young adults and teenagers interested in music, celebrities, and trending topics.
Average
Audience Quality
29.7%
Suspicion Index
30.9%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.4%
Empty Bio
37.8%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
69.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
26.4%
<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.
26,873,000
Total Potential Reach
12
Median Follower Reach
85
75th Percentile Reach
3.4%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
40.3%
Creators
20,158 accounts
21.9%
Consumers
10,952 accounts
37.8%
Dormant
18,890 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):
336
Verified Followers
0.33% of total
10,475
Protected Accounts
10.37% 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 |
|---|---|---|---|
| @MissyElliott | 7,049,222 | Musician | GOD, AVANT GARDE, COOLOFF |
| @CherLloyd | 6,376,366 | Singer | Music, Fashion, Collaboration |
| @Polo_Capalot | 3,456,930 | Rapper | Hip Hop, Success, Ambition |
| @Koreaboo | 2,472,958 | Media | K-Pop, Breaking news, Korean celebrity |
| @SoundCloud | 2,293,288 | Musician | Music, Fair pay, Fan-powered royalties |
| @GettyMuseum | 1,316,663 | Museum | Art, Los Angeles, Global |
| @BLACKPINKGLOBAL | 1,050,269 | Fanbase | K-pop, Updates, Support |
| @chordoverstreet | 1,044,096 | Singer | Music, Singer, Songwriter |
| @torispelling | 877,739 | Entertainer | Mother, Actor, DIY'er |
| @Much | 876,259 | Entertainment | Music, Culture, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,240
Followers With Bio
31,758
Followers Without Bio
68.56%
% With Bio
31.44%
% 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 3,250 analyzed641,484
Combined Engagement
292,285
Total Likes
349,199
Total Retweets
128,297
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @Harry_Styles: Harry’s House. May 20th. https://t.co/gvNJsccEz5
imagine reinventing the alphabet like Jungkook
Have you seen a cuter picture??? Suga can do no wrong in my eyes 😅✨ https://t.co/4QsH7NsMhU
blackpink.
STILL CAN’T BELIEVE WE’RE GETTING A TOMORROW X TOGETHER EP AND VIDEO TOMORROW I CANNOT WAITTTT AHHHH 😩😍 #tomorrow_x_together Watch the preview to their EP now! https://t.co/KTClsd954h https://t.co/5rLq25bhbS
Key Insights & Takeaways
The account leverages celebrity culture and pop trends to drive engagement Content often includes viral moments and fan-favorite artists High engagement suggests a strong connection with its target demographic
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,396,303
- + 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 @MTVUK reveals an exceptionally influential Twitter presence with 2,396,303 followers. The account demonstrates a content-creator strategy, averaging 1,057.2 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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