Bilal Hassani
THÉORÈME ICONIC EDITION
264,291
Followers
5,394
Following
13,684
Tweets
480.3
Avg Engagement
194
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @iambilalhassani'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:2011-01-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:289.6
- Avg Retweets per Tweet:190.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,197 tweetsTheir tweets typically receive high engagement, with an average of 9,822 likes and 1,131 retweets. They often use hashtags and emojis to boost interaction.
289.6
Avg Likes/Tweet
190.7
Avg Retweets/Tweet
925,990
Total Likes
609,661
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
126
Median Likes
21
Median Retweets
348
75th Percentile
192,112
Top Tweet
1.82
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
35.3%
Original
26.1%
Replies
22.0%
Retweets
16.6%
Quotes
0.0%
Threads
0.6%
With Media
43.8%
With Links
14.2%
With #Tags
52.3%
With @Mentions
35.0%
With Emojis
82
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.74
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 704 retweets (22% 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 3,197 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 followersTheir audience appears to be interested in entertainment, fashion, and celebrity culture. They engage with a mix of fans and fellow influencers.
Average
Audience Quality
32.5%
Suspicion Index
42.6%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.7%
Empty Bio
50.6%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
66.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
38.5%
<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.
35,457,832
Total Potential Reach
5
Median Follower Reach
44
75th Percentile Reach
2.9%
>1K followers
0.5%
>10K followers
0.1%
>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).
31.0%
Creators
15,497 accounts
18.4%
Consumers
9,207 accounts
50.6%
Dormant
25,296 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):
93
Verified Followers
0.09% of total
9,717
Protected Accounts
9.72% of total
4 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 |
|---|---|---|---|
| @TF1 | 5,928,605 | Media | TV, audiences, programmes |
| @NRJ12lachaine | 2,775,800 | Television Channel | Reality TV, Crime, Comedy |
| @BebeRexha | 2,108,819 | Singer | Music, BETTER MISTAKES, Out Now |
| @DitaVonTeese | 1,690,350 | Performer | Glamour, Tour, Europe |
| @superkevintran | 1,499,611 | Author | Writing, Art, Family |
| @PopCulture2000s | 1,096,206 | Pop Culture Enthusiast | 2000s, pop culture, nostalgia |
| @DALS_TF1 | 977,784 | TV Show | Danse, Stars, BBC |
| @DeezerFR | 940,139 | Music streaming | Music, France, Live |
| @ChTaubira | 823,795 | Politician | politics, justice, activism |
| @UrbanLePharaon | 774,755 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,089
Followers With Bio
45,911
Followers Without Bio
54.09%
% With Bio
45.91%
% 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 3,197 analyzed340,442
Combined Engagement
21,834
Total Likes
318,608
Total Retweets
68,088
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @88rising: We the best https://t.co/Ga9eJJHrsa
RT @SHINee: “늘 당신을 사랑합니다” https://t.co/m6o4tiedgp
RT @ajplusfrancais: Benjamin Kingombe voulait demander sa copine en mariage. Le gérant de l’appartement loué lui a proféré des insultes rac…
RT @MileyCyrus: FLOWERS OUT NOW. https://t.co/kKrEnd11Em
https://t.co/Y86RZ6zLSR https://t.co/9ENwLSwBPf
Key Insights & Takeaways
They frequently collaborate with other influencers and celebrities, which drives engagement. Their content often highlights special events and personal experiences, creating a sense of exclusivity. They use hashtags and emojis to make their tweets more relatable and shareable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 264,291
- + 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 @iambilalhassani reveals an well-established Twitter presence with 264,291 followers. The account demonstrates a content-creator strategy, averaging 480.3 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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