MTV Classic
All the best MTV shows + music videos from the 80s to early 2000s.
192,587
Followers
45,159
Following
11,628
Tweets
85.0
Avg Engagement
1,077
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MTVClassic'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:2009-06-15
- Verification:No
- Location:instagram.com/mtvclassic
Data Summary
- Tweets Analyzed:3,025
- Avg Likes per Tweet:30.1
- Avg Retweets per Tweet:54.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,025 tweetsThe account has a steady engagement rate with an average of 867 likes and 600 retweets per tweet. It occasionally shares special content, such as birthday tributes and remembrance events, which likely boost engagement.
30.1
Avg Likes/Tweet
54.9
Avg Retweets/Tweet
91,089
Total Likes
166,139
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
14
Median Retweets
71
75th Percentile
9,416
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
Mixed
Balanced content approach
64.5%
Original
5.5%
Replies
29.5%
Retweets
0.6%
Quotes
0.0%
Threads
0.2%
With Media
82.2%
With Links
44.4%
With #Tags
57.3%
With @Mentions
6.8%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.4%
Weekday Posts
18.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,025 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 891 retweets (29% 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 3,025 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 primary audience is likely older millennials and Gen Xers who grew up with MTV. They are nostalgic for the 80s and early 2000s pop culture.
Average
Audience Quality
22.4%
Suspicion Index
24.1%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.8%
Empty Bio
19.0%
<10 Tweets
18.9%
Mass Following (>2K)
0.0%
New (<90 days)
44.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.4%
No URL
11.4%
<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.
81,784,199
Total Potential Reach
65
Median Follower Reach
246
75th Percentile Reach
7.6%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.8%
Creators
29,905 accounts
21.2%
Consumers
10,610 accounts
19.0%
Dormant
9,485 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):
329
Verified Followers
0.33% of total
13,701
Protected Accounts
13.57% of total
9 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 | 14,100,148 | Wrestler | Wrestling, Motivation, Self-promotion |
| @gunsnroses | 6,451,284 | Band | Music, Rock, Hard Skool |
| @RapSheet | 4,031,652 | Sports Journalist | NFL, Insider, Husband |
| @foofighters | 3,309,338 | Musician | Rock, New album, Storyteller |
| @alispagnola | 2,348,641 | Musician | Music, Comedy, Fitness |
| @adamlambert | 2,294,405 | Singer | Music, Performance, LGBTQ+ |
| @6BillionPeople | 2,033,699 | - | - |
| @amazonmusic | 1,979,858 | Music Streaming | Music, Podcasts, Livestreams |
| @miguelhotero | 1,929,435 | Journalist | Politics, Journalism, Leadership |
| @EdgeRatedR | 1,471,651 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,210
Followers With Bio
39,788
Followers Without Bio
60.61%
% With Bio
39.39%
% 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 3,025 analyzed31,784
Combined Engagement
0
Total Likes
31,784
Total Retweets
6,357
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @britneyspears: It's not just a stage. It's a story… @MTV #VMAs August 28. https://t.co/crfeNGKhMe
RT @vmas: Excited to announce that @ArianaGrande will take the 2016 #VMA stage with @NICKIMINAJ! Don't miss it 8/28. https://t.co/9GMA0dsXT6
RT @MTV: MY MOM AND DAD #VMAS https://t.co/Tqpr64JK2Y
RT @chriscornell: My new single “The Promise” is available now on @AppleMusic. All proceeds will be donated to @theirc. https://t.co/VBn8pP…
RT @vmas: I'm just gonna leave this gem right here... #VMAs https://t.co/31c5QZlpXJ
Key Insights & Takeaways
The account leverages nostalgia to maintain audience interest and connection. It uses special events and tributes to engage fans emotionally and keep the content fresh. The focus on iconic artists and music videos helps attract and retain its target demographic.
Strengths
- + Established follower base of 192,587
- + 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 @MTVClassic reveals an growing Twitter presence with 192,587 followers. The account demonstrates a content-creator strategy, averaging 85.0 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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