Pleasure Ellis™️
𝗘𝗻𝘁𝗲𝗿𝘁𝗮𝗶𝗻𝗲𝗿 👨🏾🎤 | 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗔𝗿𝘁𝗶𝘀𝘁🕺🏽 | 𝗖𝗲𝗹𝗲𝗯𝗿𝗶𝘁𝘆 𝗜𝗻𝗻𝗲𝗿 𝗪𝗼𝗿𝗹𝗱 𝗘𝘅𝗽𝗲𝗿𝘁 👨🏾💼
676,725
Followers
403,375
Following
184,237
Tweets
734.4
Avg Engagement
13,237
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PleasureEllis'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:2008-06-05
- Verification:No
- Location:Everywhere Transforming Lives
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:1.3
- Avg Retweets per Tweet:733.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,224 tweetsPleasureEllis maintains a consistent engagement rate with an average of 174 likes and 47 retweets per tweet. Their top tweets often feature motivational quotes and references to well-known celebrities.
1.3
Avg Likes/Tweet
733.1
Avg Retweets/Tweet
4,146
Total Likes
2,363,646
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
16
75th Percentile
358,974
Top Tweet
1.09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
9.2%
Original
7.2%
Replies
81.5%
Retweets
2.1%
Quotes
0.0%
Threads
0.1%
With Media
19.3%
With Links
7.9%
With #Tags
89.2%
With @Mentions
18.5%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.79
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 2,627 retweets (81% 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 3,224 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 is likely interested in self-improvement, celebrity culture, and motivational content. They engage with messages that inspire transformation and personal reflection.
Average
Audience Quality
25.6%
Suspicion Index
27.2%
Low-Quality %
134
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.5%
Empty Bio
28.9%
<10 Tweets
30.5%
Mass Following (>2K)
0.0%
New (<90 days)
33.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
71.3%
No URL
18.0%
<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.
529,563,497
Total Potential Reach
134
Median Follower Reach
811
75th Percentile Reach
22.2%
>1K followers
9.0%
>10K followers
3.6%
>50K followers
2.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
47.8%
Creators
23,898 accounts
23.3%
Consumers
11,652 accounts
28.9%
Dormant
14,450 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):
2,450
Verified Followers
2.43% of total
7,973
Protected Accounts
7.89% of total
10 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 | 14,105,072 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DONJAZZY | 7,591,050 | Music Producer | Music, Mavin, Activated |
| @wikileaks | 5,632,957 | Whistleblower | Leaks, PGP, Shop |
| @mariobautista_ | 5,422,819 | Musician | Music, Mexico, Social Media |
| @anjanaomkashyap | 4,785,577 | Journalist | News, Journalism, Politics |
| @Tate | 4,686,639 | Art Gallery | Art, Exhibitions, Tickets |
| @LalitKModi | 3,829,288 | Sports Entrepreneur | Cricket, Business, Entrepreneurship |
| @FreakyTheory | 3,643,424 | Motivational Speaker | Motivation, Wealth, Living |
| @OCriador | 3,049,347 | Religious Leader | Deus, Onipresente, Onisciente |
| @tiwarymanoj | 2,872,364 | Cricketer | Cricket, India, Proud |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,755
Followers With Bio
58,241
Followers Without Bio
42.33%
% With Bio
57.67%
% 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 3,224 analyzed1,225,384
Combined Engagement
0
Total Likes
1,225,384
Total Retweets
245,077
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
RT @elonmusk: https://t.co/Q9OjlJhi7f
RT @elonmusk: Let’s make Twitter maximum fun!
RT @elonmusk: 🇲🇦🇲🇦 Congrats Morocco!! 🇲🇦🇲🇦
Key Insights & Takeaways
The content is heavily influenced by iconic celebrities and their quotes, which resonate with the audience's interest in transformation and success. The use of verified accounts and high follower counts suggests a strong brand identity and credibility. Engagement is driven by motivational and inspirational messages that encourage self-reflection and personal growth.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 676,725
- + 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 @PleasureEllis reveals an well-established Twitter presence with 676,725 followers. The account demonstrates a content-creator strategy, averaging 734.4 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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