Ridiculousness
The official Twitter for MTV's Ridiculousness. New episodes Mondays and Wednesdays at 8/7c. #Deliciousness, Monday 12/5 @ 9p
462.380
Followers
519
Following
31.059
Tweets
223,2
Avg Engagement
446
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ridiculousness'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:2010-06-12
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3.187
- Avg Likes per Tweet:98,8
- Avg Retweets per Tweet:124,5
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.187 tweetsThe account has high engagement with an average of 3,380 likes and 648 retweets per tweet. Content that includes celebrities and viral moments tends to perform well.
98,8
Avg Likes/Tweet
124,5
Avg Retweets/Tweet
314.738
Total Likes
396.664
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
8
Median Retweets
145
75th Percentile
184.931
Top Tweet
0,48
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
66,2%
Original
16,3%
Replies
14,5%
Retweets
3,0%
Quotes
0,0%
Threads
0,2%
With Media
73,7%
With Links
65,7%
With #Tags
53,7%
With @Mentions
55,7%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,25
Reply/Original Ratio
0,21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
54,3%
Weekday Posts
45,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.187 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 462 retweets (14% 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 3.187 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 who enjoy humor, celebrity news, and viral trends. They are active on social media and interested in entertainment.
Average
Audience Quality
24,8%
Suspicion Index
27,9%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,6%
Empty Bio
24,4%
<10 Tweets
10,5%
Mass Following (>2K)
0,0%
New (<90 days)
58,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,2%
No URL
15,2%
<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.
65.935.842
Total Potential Reach
26
Median Follower Reach
109
75th Percentile Reach
3,8%
>1K followers
0,4%
>10K followers
0,2%
>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).
52,1%
Creators
26.072 accounts
23,5%
Consumers
11.744 accounts
24,4%
Dormant
12.184 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):
459
Verified Followers
0.45% of total
13.455
Protected Accounts
13.32% 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 |
|---|---|---|---|
| @JohnCena | 14.104.700 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AustinMahone | 8.854.261 | Singer | music, fashion, travel |
| @PostMalone | 7.012.943 | Musician | Music, Tattoos, Beer |
| @RandyOrton | 6.320.326 | Wrestler | Wrestling, Family, Champion |
| @tanamongeau | 2.478.223 | Influencer | Reality TV, YouTube, Controversy |
| @FINALLEVEL | 1.944.131 | Rapper | Music, Activism, Entertainment |
| @khaledalsawy | 1.833.506 | Unknown | technology, innovation, entrepreneurship |
| @KameronBennett | 1.812.861 | DJ | Music, DJing, Booking |
| @brantleygilbert | 1.470.885 | Musician | Music, Country, Collaboration |
| @SinghLions | 1.334.851 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60.336
Followers With Bio
40.663
Followers Without Bio
59.74%
% With Bio
40.26%
% 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 3.187 analyzed270.895
Combined Engagement
6.971
Total Likes
263.924
Total Retweets
54.179
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @robdyrdek: My heart is broken. I don't want write this post. I don't want to believe that this is reality. I am so thankful for you. ht…
RT @robdyrdek: You will forever be in my heart.
RT @robdyrdek: We truly were brothers that lived an unexpected unforgettable adventure. I just can't fathom that it would end so suddenly.
RT @Superjacket: One of the greatest to ever do it. RIP Big Black https://t.co/riHILqwGKJ
.@PostMalone 100& deserved an A in high school for this music video 👏 https://t.co/rpU5P2eYbz
Key Insights & Takeaways
The account leverages celebrity collaborations and viral moments to drive engagement. Content that highlights humor and pop culture trends resonates well with the audience. Regular posting and a mix of entertainment and humor keep the audience engaged.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 462.380
- + 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 @Ridiculousness reveals an well-established Twitter presence with 462.380 followers. The account demonstrates a content-creator strategy, averaging 223,2 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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