Nabil Djellit
Journaliste. @francefootball @RFI @Europe1 @lachainelequipe @cplusafrique @Elkhedra https://www.facebook.com/unsupportedbrowser
513,366
Followers
1,535
Following
74,700
Tweets
487.2
Avg Engagement
777
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Nabil_djellit'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:2012-02-16
- Verification:No
- Location:Paris - Jijel
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:336.7
- Avg Retweets per Tweet:150.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement highlights his influence and relevance in the sports journalism community.
336.7
Avg Likes/Tweet
150.5
Avg Retweets/Tweet
1,093,161
Total Likes
488,809
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
35
Median Likes
7
Median Retweets
264
75th Percentile
89,266
Top Tweet
0.95
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
44.7%
Original
16.9%
Replies
33.4%
Retweets
5.0%
Quotes
0.0%
Threads
0.3%
With Media
27.6%
With Links
43.1%
With #Tags
56.6%
With @Mentions
17.9%
With Emojis
101
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
61.4%
Weekday Posts
38.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 1,083 retweets (33% 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 3,247 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 followersHis audience is primarily interested in football and related news, with a focus on European and African sports coverage. The engagement suggests a loyal and active fan base.
Below Average
Audience Quality
36.5%
Suspicion Index
50.6%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.3%
Empty Bio
53.0%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
73.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.6%
No URL
35.8%
<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.
24,063,797
Total Potential Reach
7
Median Follower Reach
37
75th Percentile Reach
1.5%
>1K followers
0.2%
>10K followers
0.1%
>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).
21.5%
Creators
10,745 accounts
25.5%
Consumers
12,763 accounts
53.0%
Dormant
26,492 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):
157
Verified Followers
0.16% of total
6,173
Protected Accounts
6.17% of total
2 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 | 14,104,676 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 1,005,048 | - | - |
| @Football__Tweet | 851,702 | - | - |
| @so_mkb | 488,005 | Influencer | Humor, Time-passing, Partnership |
| @dzonline | 471,854 | News outlet | Tamazgha, News, Algeria |
| @sebroche | 458,390 | - | - |
| @JeudyBruno | 444,365 | Journalist | Politics, Journalism, Television |
| @LamineGuirassy | 357,728 | Journalist | media, journalism, broadcasting |
| @SAbdelhamid | 308,885 | TV Host | TV, Journalist, Designer |
| @Cr7Fran4ever | 265,359 | Football Fan | Cristiano Ronaldo, Real Madrid, Manchester United |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,974
Followers With Bio
58,026
Followers Without Bio
41.97%
% With Bio
58.03%
% 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 3,247 analyzed285,457
Combined Engagement
65,517
Total Likes
219,940
Total Retweets
57,091
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @M10: No Benzy, No Party 🤷🏻♂️🇫🇷🏆
RT @lukamodric10: Never. Give. Up. https://t.co/Rv3C6bZrB6
RT @Benzema: J’ai fait les efforts et les erreurs qu’il fallait pour être là où je suis aujourd’hui et j’en suis fier ! J’ai écrit mon his…
5 Ballon d'Or. Ne jamais oublier. https://t.co/yS2XU6NBSb
Comment peut-on parler de Zinedine Zidane de la sorte ?
Key Insights & Takeaways
His top tweets often revolve around iconic football moments and figures, such as the Ballon d'Or and Zinedine Zidane. He frequently comments on the cultural and political aspects of football, highlighting its unifying power. His content is well-received, suggesting a deep connection with his audience and a clear understanding of their interests.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 513,366
- + 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 @Nabil_djellit reveals an well-established Twitter presence with 513,366 followers. The account demonstrates a content-creator strategy, averaging 487.2 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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