Ellis Lacy
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114,895
Followers
700
Following
1,606
Tweets
435.4
Avg Engagement
169
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EllisLacyUK'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:2015-01-12
- Verification:No
- Location:Castleford, England
Data Summary
- Tweets Analyzed:1,481
- Avg Likes per Tweet:283.0
- Avg Retweets per Tweet:152.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,481 tweetsEllisLacyUK's tweets receive substantial likes and retweets, indicating a highly engaged audience. The content seems to resonate well with followers.
283.0
Avg Likes/Tweet
152.4
Avg Retweets/Tweet
419,105
Total Likes
225,694
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
1
Median Retweets
47
75th Percentile
110,329
Top Tweet
3.79
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
62.5%
Original
22.8%
Replies
6.8%
Retweets
8.0%
Quotes
0.0%
Threads
1.9%
With Media
45.2%
With Links
8.4%
With #Tags
49.4%
With @Mentions
70.0%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
1.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,481 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 101 retweets (7% 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 1,481 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 includes individuals interested in explicit or provocative content. They may be active on social media and engaged with similar material.
Below Average
Audience Quality
38.5%
Suspicion Index
46.5%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.5%
Empty Bio
42.2%
<10 Tweets
22.4%
Mass Following (>2K)
0.0%
New (<90 days)
78.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
31.5%
<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.
7,522,598
Total Potential Reach
25
Median Follower Reach
96
75th Percentile Reach
4.1%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
36.6%
Creators
3,662 accounts
21.2%
Consumers
2,119 accounts
42.2%
Dormant
4,219 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):
42
Verified Followers
0.42% of total
2,319
Protected Accounts
23.19% of total
3 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 |
|---|---|---|---|
| @aw4mf | 516,141 | Fitness Influencer | Fitness, NYC, Exclusive videos |
| @czechtwins | 370,910 | Adult entertainer | Twins, Gay, Content |
| @Sexxymundaa | 360,529 | Model | Punjabi, Model, NSFW |
| @HotGuyZone | 355,687 | Adult entertainer | Naked guys, NSFW content, promotions |
| @jhean_boorgees | 248,616 | - | - |
| @chadwhitexxx | 198,692 | Adult Film Actor | fitness, modeling, photography |
| @craigmarksxxx | 195,296 | Adult Entertainer | Exclusive content, UK, Web link |
| @luccaborgys | 179,236 | Content Creator | Adult content, Atv/Top, Pix/PayPal |
| @NolbertGarcia4 | 167,874 | Content Creator | Adult content, Suspended account, 140k followers |
| @morbosex32 | 151,436 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,846
Followers With Bio
6,154
Followers Without Bio
38.46%
% With Bio
61.54%
% 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 1,481 analyzed240,264
Combined Engagement
78,130
Total Likes
162,134
Total Retweets
48,053
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @Louis_Tomlinson: Wow what an incredible new year ! Amazing to see everyone again and @CraigDavid killed it !
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🍆🧬 https://t.co/Y4QBmW58cV
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Key Insights & Takeaways
The account uses provocative and suggestive content to attract attention and engagement. It includes links to external content, possibly for monetization or traffic generation. The use of emojis and cryptic phrases suggests a focus on shock value and curiosity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 114,895
- + 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 @EllisLacyUK reveals an well-established Twitter presence with 114,895 followers. The account demonstrates a content-creator strategy, averaging 435.4 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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