UK HAUNTED
89,727
Followers
50,904
Following
59,958
Tweets
284.7
Avg Engagement
303
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UKHaunted'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: Mid-Tier (10K+)
- Account Age:2012-04-14
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,176
- Avg Likes per Tweet:31.2
- Avg Retweets per Tweet:253.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,176 tweetsThe account maintains a consistent level of engagement with its followers. The use of trending hashtags and emojis helps drive interaction and visibility.
31.2
Avg Likes/Tweet
253.6
Avg Retweets/Tweet
98,937
Total Likes
805,399
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
5
Median Retweets
41
75th Percentile
546,543
Top Tweet
3.17
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
35.7%
Original
19.1%
Replies
38.1%
Retweets
7.1%
Quotes
0.0%
Threads
0.3%
With Media
73.8%
With Links
38.0%
With #Tags
66.0%
With @Mentions
65.8%
With Emojis
113
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,176 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 1,210 retweets (38% 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 3,176 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 10,000 followersThe audience likely enjoys horror, humor, and paranormal content. They are engaged and active, as evidenced by the high number of likes and retweets.
Average
Audience Quality
23.9%
Suspicion Index
29.0%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.8%
Empty Bio
30.9%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
46.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
21.1%
<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.
22,564,400
Total Potential Reach
25
Median Follower Reach
146
75th Percentile Reach
6.8%
>1K followers
0.6%
>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).
46.3%
Creators
4,631 accounts
22.8%
Consumers
2,277 accounts
30.9%
Dormant
3,092 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):
61
Verified Followers
0.61% of total
855
Protected Accounts
8.55% of total
4 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 | 14,094,976 | Wrestler | Wrestling, Motivation, Self-promotion |
| @travelchannel | 3,138,024 | Travel TV | Travel, Adventure, Exploration |
| @BruceVH | 589,481 | Life Coach | Podcast, Speaker, Optimist |
| @JulianMarley | 271,955 | Musician | Reggae, Music, Family |
| @HarrisonKrank | 221,628 | Student | University of North Dakota, Photography, Travel |
| @JeanetteJoy | 218,766 | Design Psychology Mentor | ClimateReality, DesignPsychology, TinyHome |
| @CathysArtPalace | 152,338 | Illustrator | Art, Sherlock, Dogs |
| @witchhusband | 107,401 | Sports Fan | darts, cricket, reading |
| @mrmarkdolan | 104,241 | TV Host | TV, Host, News |
| @IamRobertAlex | 89,106 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,317
Followers With Bio
3,683
Followers Without Bio
63.17%
% With Bio
36.83%
% 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 3,176 analyzed749,703
Combined Engagement
0
Total Likes
749,703
Total Retweets
149,941
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @hwardcowan: That's definitely something a haunted chair would say.. https://t.co/YPeblZtYu7
RT @weetabix: Why should bread have all the fun, when there's Weetabix? Serving up @HeinzUK Beanz on bix for breakfast with a twist. #ItHasToBeHeinz #HaveYouHadYourWeetabix https://t.co/R0xq4Plbd0
RT @BindiIrwin: Your legacy will live on forever. I love you for even longer. November 15, Steve Irwin Day. https://t.co/aABSgjIQ00
RT @DogBountyHunter: Please say your prayers for Beth right now thank you love you
Key Insights & Takeaways
The account uses humor and horror elements to attract and retain followers. It frequently shares content related to ghost hunting and paranormal activities. The use of emojis and hashtags enhances the visual and interactive appeal of the tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,727
- + 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 @UKHaunted reveals an well-established Twitter presence with 89,727 followers. The account demonstrates a content-creator strategy, averaging 284.7 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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