Elliot Chemlekh
Animateur Radio / TV et artisan boulanger
53,747
Followers
1,613
Following
6,850
Tweets
113.3
Avg Engagement
64
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Elliotoff'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:2008-05-11
- Verification:No
- Location:Paris
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:18.3
- Avg Retweets per Tweet:94.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,187 tweetsElliotoff's tweets receive an average of 635 likes and 242 retweets, indicating a dedicated and interactive fan base. Their content is well-received and often shared within their community.
18.3
Avg Likes/Tweet
94.9
Avg Retweets/Tweet
58,430
Total Likes
302,582
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
27
75th Percentile
145,799
Top Tweet
2.11
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
36.7%
Original
47.8%
Replies
8.5%
Retweets
7.0%
Quotes
0.0%
Threads
0.6%
With Media
21.4%
With Links
45.5%
With #Tags
78.3%
With @Mentions
8.3%
With Emojis
78
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.3
Reply/Original Ratio
0.83
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.8%
Weekday Posts
11.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 271 retweets (9% 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 3,187 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 followersElliotoff's audience primarily consists of fans of K-pop, especially BTS, and music enthusiasts. They also attract listeners interested in radio and TV content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
100.0%
<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.
5,687,775
Total Potential Reach
6
Median Follower Reach
33
75th Percentile Reach
1.6%
>1K followers
0.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
801
Protected Accounts
8.01% 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 |
|---|---|---|---|
| @MalikBentalha | 1,878,454 | Comedian | Comedy, Acting, Travel |
| @CJuridiques | 431,051 | Legal Content | Law, Curiosities, Legal humor |
| @SuperCazarre | 372,692 | Parodist | #Foot, #PSG, montages professionnels |
| @HarleyPlays | 319,863 | YouTuber | Food, Comedy, BTS |
| @NikitaBellucciX | 271,463 | Pornographic Actress | Porn, Ethique, Productrice |
| @Julien_FEBREAU | 235,374 | Journaliste sportif | Formula 1, Journalist, TV Commentator |
| @CelebMix | 235,235 | Entertainment News | Little Mix, BTS, Harry Styles |
| @VictorArtus | 112,910 | Comedian | Comedy, Humor, Impersonation |
| @BTSFRANCE_ | 103,571 | Fanbase | K-pop, ARMY, Fanbase |
| @ARMYFRANCE_ | 100,352 | Fanclub | K-pop, BTS, France |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,478
Followers With Bio
6,522
Followers Without Bio
34.78%
% With Bio
65.22%
% 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 3,187 analyzed253,168
Combined Engagement
0
Total Likes
253,168
Total Retweets
50,634
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @ibfk2014: ✊🏻✊🏿 NO TO RACISM | #Respect https://t.co/Ic1BzfANoi
RT @OmarSy: "ENSEMBLE, TOUT EST POSSIBLE" À vous de jouer ! #LoveArmyForRohingya https://t.co/b7b6sxLjfD
RT @djsnake: 🚨 IMPORTANT MESSAGE #LoveArmyForRohingya - TAG PEOPLE THAT HAVE A VOICE - TAG COMPANIES THAT COULD DONATE 🔥 ♥️ https://t.co/dKKxaasamO
RT @NormanDesVideos: 🚨 ON ENCOURAGE @YouTube À AIDER LES RONHINGYAS 🚨 UN SIMPLE RT POUR LES MOTIVER À DONNER #YouTubeHelpRohingya #LoveArmyForRohingya https://t.co/PA8f3u0XKp
RT @NetflixFR: Open for a surprise. https://t.co/deCzRr29Dv
Key Insights & Takeaways
Elliotoff frequently collaborates with BTS-related accounts and radio stations, which drives engagement. Their content is highly focused on music and fan interaction, especially with the BTS fanbase. They leverage their platform to promote events and radio shows, creating a sense of community and anticipation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,747
- + High community engagement through conversations
- + 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 @Elliotoff reveals an well-established Twitter presence with 53,747 followers. The account demonstrates a conversation-first approach, averaging 113.3 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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