ELLEUK
The official Twitter account of ELLE UK. First with fashion, feminism, beauty, shopping and celebrity news and trends.
1,081,588
Followers
1,686
Following
114,315
Tweets
20.8
Avg Engagement
5,699
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ELLEUK'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: Mega Influencer (1M+)
- Account Age:2008-07-28
- Verification:Yes
- Location:London
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:16.2
- Avg Retweets per Tweet:4.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsEach tweet typically receives around 2,151 likes and 711 retweets, indicating a highly engaged audience. The content is well-received and often shared widely.
16.2
Avg Likes/Tweet
4.6
Avg Retweets/Tweet
52,668
Total Likes
14,820
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
7
75th Percentile
16,099
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.6%
Original
0.2%
Replies
0.2%
Retweets
0.0%
Quotes
0.0%
Threads
2.2%
With Media
99.8%
With Links
2.6%
With #Tags
1.7%
With @Mentions
3.0%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
85.7%
Weekday Posts
14.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 6 retweets (0% 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 3,250 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 fashion enthusiasts, celebrities, and socially conscious individuals. They are interested in both lifestyle content and thought-provoking discussions.
Average
Audience Quality
28.9%
Suspicion Index
29.6%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
34.1%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
64.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.9%
No URL
23.4%
<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.
128,783,243
Total Potential Reach
20
Median Follower Reach
116
75th Percentile Reach
5.1%
>1K followers
0.8%
>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).
42.5%
Creators
21,255 accounts
23.4%
Consumers
11,703 accounts
34.1%
Dormant
17,042 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):
866
Verified Followers
0.86% of total
14,245
Protected Accounts
14.1% of total
6 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 |
|---|---|---|---|
| @jimmyfallon | 50,815,690 | Comedian | Comedy, TV, Music |
| @rickygervais | 15,185,226 | Comedian | Comedy, Writing, Acting |
| @JohnCena | 14,105,471 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JessieJ | 7,971,888 | Singer | Music, Singing, Performance |
| @robkardashian | 7,103,615 | Celebrity | Family, Fitness, Fashion |
| @GNev2 | 5,502,611 | Sports Commentator | Football, Analysis, Motivation |
| @Lord_Sugar | 5,204,582 | Entrepreneur | business, entrepreneurship, technology |
| @whoisaddison | 4,843,702 | - | - |
| @yokoono | 4,530,461 | Artist | Peace, Love, Activism |
| @ninagarcia | 3,045,931 | Editor | Fashion, Style, Design |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,087
Followers With Bio
36,912
Followers Without Bio
63.45%
% With Bio
36.55%
% 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 3,250 analyzed24,035
Combined Engagement
17,584
Total Likes
6,451
Total Retweets
4,807
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
The Best Looks Of All Time From Blackpink's Lisa https://t.co/7ISimI51uC
Zayn Malik Stands With Struggling Parents In Open Letter To Prime Minister https://t.co/cMxqODhSh1
Jeremy Clarkson’s Anti-Meghan Markle Tirade Shows We Need To Confront Misogyny Now, Before It's Too Late https://t.co/6oNkfNcuHr
It's hard to pin point when Zendaya became THE one to watch on the red carpet but what we do know is that every single look she steps out in is one to remember.
The Duchess Of Cambridge And Kids Baked Special Treats Ahead Of Jubilee Celebrations https://t.co/Zu1CkfcKxA
Key Insights & Takeaways
The account frequently highlights high-profile celebrities and their fashion choices It addresses social issues such as feminism and misogyny It leverages trending topics to maintain relevance and engagement
Strengths
- + Established follower base of 1,081,588
- + 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 @ELLEUK reveals an growing Twitter presence with 1,081,588 followers. The account demonstrates a content-creator strategy, averaging 20.8 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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