ParamountUK
Home of #PAWPatrolMovie, #Sumotherhood, #KillersOfTheFlowerMoon, #MeanGirls and #OneLoveMovie.
600,626
Followers
4,729
Following
22,905
Tweets
405.5
Avg Engagement
2,270
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ParamountUK'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:2008-12-10
- Verification:Yes
- Location:UK
Data Summary
- Tweets Analyzed:3,218
- Avg Likes per Tweet:85.4
- Avg Retweets per Tweet:320.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,218 tweetsParamountUK's tweets typically receive an average of 6,066 likes and 1,523 retweets, indicating strong audience interaction. The content is well-received and shared by followers.
85.4
Avg Likes/Tweet
320.1
Avg Retweets/Tweet
274,705
Total Likes
1,030,065
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
8
Median Retweets
110
75th Percentile
67,278
Top Tweet
0.68
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
58.7%
Original
4.2%
Replies
36.3%
Retweets
0.8%
Quotes
0.0%
Threads
0.5%
With Media
75.5%
With Links
77.7%
With #Tags
48.7%
With @Mentions
22.9%
With Emojis
127
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.1%
Weekday Posts
19.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,218 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 1,169 retweets (36% 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 3,218 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 movie enthusiasts and fans of major franchises like Mean Girls and Top Gun. They are likely interested in upcoming releases and celebrity news.
Average
Audience Quality
33.8%
Suspicion Index
37.3%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.1%
Empty Bio
45.4%
<10 Tweets
11.7%
Mass Following (>2K)
0.0%
New (<90 days)
76.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
32.5%
<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.
29,622,229
Total Potential Reach
10
Median Follower Reach
57
75th Percentile Reach
2.9%
>1K followers
0.4%
>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).
32.4%
Creators
16,212 accounts
22.1%
Consumers
11,069 accounts
45.4%
Dormant
22,719 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):
690
Verified Followers
0.68% of total
12,974
Protected Accounts
12.85% of total
5 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 | 14,105,336 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jackwhitehall | 6,060,235 | Actor/Comedian | Comedy, Acting, Entertainment |
| @KeerthyOfficial | 5,523,974 | Actress | Movies, Acting, Travel |
| @angelicavale | 2,610,117 | Actriz | Family, Art, Happiness |
| @Dir_Lokesh | 2,121,416 | Filmmaker | Movies, Writing, Directing |
| @saatchi_gallery | 1,853,002 | Art Gallery | contemporary art, culture, London grads |
| @KatiePrice | 1,842,940 | Influencer | YouTube, Subscribe, Channel |
| @KameronBennett | 1,812,062 | DJ | Music, DJing, Booking |
| @BreakingBad | 1,476,065 | TV Show | TV shows, crime, drama |
| @PopCrave | 1,378,056 | Entertainment | Music, Entertainment, Celebrities |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,385
Followers With Bio
38,614
Followers Without Bio
61.77%
% With Bio
38.23%
% 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 3,218 analyzed228,026
Combined Engagement
0
Total Likes
228,026
Total Retweets
45,605
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @hamishsteele: This scene is more revolutionary than I think they even knew and it really stuck with me as a child. Especially the last…
RT @idriselba: Knock, knock.... #SonicMovie2 #Knuckles https://t.co/N1PW5XaCEd
RT @johnkrasinski: https://t.co/fDoLVxqaVo
RT @TomCruise: See you in the sky. #TopGun https://t.co/vdhTtXb0io
RT @johnkrasinski: #PartII https://t.co/wyQg0DjfQu
Key Insights & Takeaways
The account frequently promotes major film releases and franchises, which drives engagement. It leverages trending topics and collaborations with celebrities to boost visibility. The use of hashtags and links to trailers and promotional content enhances audience interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 600,626
- + 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 @ParamountUK reveals an well-established Twitter presence with 600,626 followers. The account demonstrates a content-creator strategy, averaging 405.5 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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