360,660
Followers
223
Following
2,313
Tweets
5,472.2
Avg Engagement
35
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djilsi'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:2019-04-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:5,191.7
- Avg Retweets per Tweet:280.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 597 tweetsTheir tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The use of humor and relatable situations helps drive engagement.
5,191.7
Avg Likes/Tweet
280.5
Avg Retweets/Tweet
3,099,452
Total Likes
167,465
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,268
Median Likes
61
Median Retweets
6,667
75th Percentile
104,100
Top Tweet
15.17
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
35.5%
Original
32.7%
Replies
16.8%
Retweets
15.1%
Quotes
0.0%
Threads
1.7%
With Media
56.3%
With Links
3.4%
With #Tags
47.4%
With @Mentions
24.1%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.92
Reply/Original Ratio
0.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.3%
Weekday Posts
36.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 100 retweets (17% 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 597 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 followersDjilsi's audience appears to be primarily French-speaking individuals interested in relatable and humorous content. They are likely middle-aged to older adults who appreciate social commentary.
Average
Audience Quality
31.4%
Suspicion Index
49.6%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.8%
Empty Bio
46.8%
<10 Tweets
0.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
36.3%
<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.
11,646,932
Total Potential Reach
5
Median Follower Reach
30
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
34.3%
Creators
17,130 accounts
18.9%
Consumers
9,448 accounts
46.8%
Dormant
23,422 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):
96
Verified Followers
0.1% of total
9,574
Protected Accounts
9.48% 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 |
|---|---|---|---|
| @Inoxtag | 2,784,414 | Youtuber | Gaming, Streaming, Content Creation |
| @_IDVL | 1,288,081 | Comedy Influencer | Comedy, Videos, DM |
| @valouzz_ | 978,123 | YouTuber | - |
| @sofyanboudouni | 614,489 | Entrepreneur | Technology, Entrepreneurship, Innovation |
| @_StudioDanielle | 611,437 | Influencer | Family, Grandmother, Creativity |
| @kennyS_ | 607,130 | Professional Gamer | CS:GO, eSports, Gaming |
| @AREtoiles | 533,585 | Streamer | Smash, Animateur, Streamer |
| @ToulouseFC | 517,304 | Football Club | Football, Ligue 1, Ligue 2 |
| @PrimeVideoFR | 436,579 | Streaming | TV shows, Comedy, Streaming |
| @zammit_marc | 388,071 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,718
Followers With Bio
62,281
Followers Without Bio
38.34%
% With Bio
61.66%
% 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 597 analyzed333,552
Combined Engagement
311,759
Total Likes
21,793
Total Retweets
66,710
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
j’ai dit au livreur de poser le colis sur la boîte aux lettres s’il est pas trop encombrant il m’a dit « aucun soucis monsieur » https://t.co/7mI42Znn54
payer un parking sous terrain sécurisé 42€ par jour pour que n’importe qui y est accès, puisse péter ma voiture et se servir pendant que l’agent de sécurité de nuit n’en ait rien à foutre, tout ça sous les yeux d’une caméra de surveillance. Bravo et merci @GroupIndigo_ 👏 https://
#LeMillionPourDjilsi 🫶🏻 https://t.co/7EE9oqWJ86
ptdrr j’ai envoyé un message à mon père pour la fête des pères, regardez sa réponse https://t.co/lQCHpWqgr3
la vie de ma mère elles sont plus bonnes que les vraies nuggets https://t.co/IHikFdJ05F
Key Insights & Takeaways
Djilsi uses personal anecdotes to highlight everyday frustrations and societal issues. They often incorporate humor and sarcasm to engage their audience. Their content is relatable and resonates with a wide audience interested in social commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 360,660
- + 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 @djilsi reveals an exceptionally influential Twitter presence with 360,660 followers. The account demonstrates a content-creator strategy, averaging 5,472.2 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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