Eliad Cohen
🎉Founder, Producer, DJ @papaworldtour 👨🏻💼Luxury Real Estate @eliadcohengroup #douglaselliman
126,878
Followers
49
Following
5,999
Tweets
148.2
Avg Engagement
231
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EliadCohen1'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:2011-09-08
- Verification:No
- Location:Miami Beach, FL
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:138.9
- Avg Retweets per Tweet:9.2
- Followers Analyzed:1,000
Engagement Analysis
Based on 3,173 tweetsHis tweets consistently receive high engagement, with an average of 5,354 likes and 335 retweets per post. This indicates a highly interactive and interested audience.
138.9
Avg Likes/Tweet
9.2
Avg Retweets/Tweet
440,823
Total Likes
29,344
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
1
Median Retweets
24
75th Percentile
26,530
Top Tweet
1.17
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
91.8%
Original
2.8%
Replies
4.4%
Retweets
0.9%
Quotes
0.0%
Threads
3.6%
With Media
94.3%
With Links
7.8%
With #Tags
12.0%
With @Mentions
40.4%
With Emojis
78
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 141 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 3,173 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 1,000 followersHis audience includes music enthusiasts, real estate professionals, and individuals interested in luxury lifestyle content. The mix of personal and professional posts suggests a broad and diverse follower base.
Below Average
Audience Quality
40.7%
Suspicion Index
51.3%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.9%
Empty Bio
48.5%
<10 Tweets
19.4%
Mass Following (>2K)
0.0%
New (<90 days)
82.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
36.7%
<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.
420,891
Total Potential Reach
20
Median Follower Reach
68
75th Percentile Reach
2.7%
>1K followers
0.7%
>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).
29.7%
Creators
297 accounts
21.8%
Consumers
218 accounts
48.5%
Dormant
485 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):
34
Verified Followers
0.34% of total
2,480
Protected Accounts
24.8% 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 |
|---|---|---|---|
| @JohnCena | 14,093,827 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FashionweekNYC | 574,169 | Fashion Blogger | Fashion, Culture, Runways |
| @TheRealLukevans | 490,892 | Actor | acting, singing, fitness |
| @ivxxxnfdz | 487,594 | Influencer | Shopping, Discounts, Fitness |
| @Apagua13 | 433,727 | Porn Star | travel, photography, culture |
| @hotmartin25 | 426,442 | Actor | Actor, OnlyFans, Collaboration |
| @shiralazar | 354,743 | Host | Wellness, Advocacy, Media |
| @robtswthrayguns | 258,156 | Inventor | synthwave, NFT, NSFW |
| @jadexvenus | 195,015 | - | - |
| @miguelsolo611 | 170,882 | Adult Content Creator | Gay Porn, International Flair, Adult Content |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,394
Followers With Bio
5,606
Followers Without Bio
43.94%
% With Bio
56.06%
% 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 3,173 analyzed41,158
Combined Engagement
39,131
Total Likes
2,027
Total Retweets
8,232
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
👨🏻 https://t.co/JdeylJdaLM
Miami ✈️ Tel Aviv https://t.co/xWpQk3lEyQ
https://t.co/f48CjJ7NzP https://t.co/ZFQUSZiJTL
https://t.co/f48CjJ7NzP https://t.co/XrZSciz3VM
Lola 🐶❤️ https://t.co/wGpMscJl4i
Key Insights & Takeaways
He maintains a strong personal brand through consistent content sharing. His engagement metrics suggest a loyal and active audience. He effectively blends personal and professional content to maintain relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126,878
- + 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 @EliadCohen1 reveals an well-established Twitter presence with 126,878 followers. The account demonstrates a content-creator strategy, averaging 148.2 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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