PETA UK
ANIMALS ARE NOT OURS to experiment on, eat, wear, use for entertainment or abuse in any other way. #EndSpeciesism
126,504
Followers
8,504
Following
47,636
Tweets
381.0
Avg Engagement
805
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PETAUK'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:2011-08-18
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:210.6
- Avg Retweets per Tweet:170.5
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,243 tweetsPETAUK's tweets receive an average of 3,301 likes and 2,697 retweets, indicating strong audience interaction. Their content is often shared widely, especially around specific campaigns and events.
210.6
Avg Likes/Tweet
170.5
Avg Retweets/Tweet
682,840
Total Likes
552,899
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
29
Median Retweets
489
75th Percentile
10,901
Top Tweet
3.01
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
62.3%
Original
31.9%
Replies
4.0%
Retweets
1.8%
Quotes
0.0%
Threads
0.5%
With Media
87.3%
With Links
42.9%
With #Tags
35.1%
With @Mentions
48.7%
With Emojis
156
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.2%
Weekday Posts
19.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 130 retweets (4% 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 3,243 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 10,999 followersThe audience primarily consists of individuals passionate about animal rights and social justice. They are likely to be activists, educators, and people interested in ethical consumption and animal welfare.
Average
Audience Quality
20.5%
Suspicion Index
22.5%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
15.5%
<10 Tweets
22.2%
Mass Following (>2K)
0.0%
New (<90 days)
35.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.5%
No URL
9.6%
<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.
14,289,512
Total Potential Reach
87
Median Follower Reach
361
75th Percentile Reach
11.8%
>1K followers
1.4%
>10K followers
0.3%
>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).
66.5%
Creators
7,310 accounts
18.1%
Consumers
1,986 accounts
15.5%
Dormant
1,703 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):
164
Verified Followers
1.49% of total
945
Protected Accounts
8.59% 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 |
|---|---|---|---|
| @miguelhotero | 1,931,783 | Journalist | Politics, Journalism, Leadership |
| @iownjd | 772,206 | Lawyer | learn, inspire, engage |
| @ChrisGPackham | 606,510 | TV Presenter | Wildlife, TV, Conservation |
| @DrAnthony | 448,409 | Doctor | Work, Stuff |
| @CuentaMister | 382,931 | YouTuber | fútbol, Barça, Youtube |
| @jannarden | 377,182 | Singer | Plants, Music, Animal rights |
| @Asamsakti | 284,356 | Art Lover | Art, Technology, Tea |
| @Fedeabe | 261,133 | Comedian | Comedy, Rationality, Booking |
| @SamReece | 184,091 | Hairdresser | Hairdressing, Male modeling, Salon ownership |
| @thomaskaine5 | 174,163 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,098
Followers With Bio
3,901
Followers Without Bio
64.53%
% With Bio
35.47%
% 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 3,243 analyzed35,343
Combined Engagement
19,315
Total Likes
16,028
Total Retweets
7,069
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
RT if you are against hunting. 🦊 #BoxingDay https://t.co/Tygrilcump
It's his last moments alive💔 RT if you know he didn't deserve to suffer and die in agony. #BanBullfighting https://t.co/YBqiEFJrva
Bullfighting must be banned. https://t.co/FRtjUYWuPO
Come on, it's 2023. These archaic spectacles should be immediately BANNED everywhere. RT if you agree. https://t.co/TT1F3itdWy
Bullfighting is a murder. https://t.co/0wwqIrVQpb
Key Insights & Takeaways
Their top tweets focus on specific campaigns like banning bullfighting and hunting, which resonate strongly with their audience. They use emotional storytelling, such as sharing the last moments of an animal, to drive engagement and empathy. Verified accounts make up only 1.5% of their followers, suggesting a grassroots and community-driven approach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126,504
- + 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 @PETAUK reveals an well-established Twitter presence with 126,504 followers. The account demonstrates a content-creator strategy, averaging 381.0 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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