Hillal Soudani
Professional Footballer 2️⃣- Currently playing 🇩🇿 🇭🇷
1,524,133
Followers
191
Following
3,746
Tweets
171.3
Avg Engagement
367
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Hillal_Soudani'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: Mega Influencer (1M+)
- Account Age:2012-12-31
- Verification:No
- Location:Zagreb,croatie
Data Summary
- Tweets Analyzed:2,843
- Avg Likes per Tweet:108.1
- Avg Retweets per Tweet:63.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,843 tweetsHis tweets receive high engagement, with an average of 4,607 likes and 457 retweets per post. The content is well-received, indicating a strong connection with his followers.
108.1
Avg Likes/Tweet
63.3
Avg Retweets/Tweet
307,203
Total Likes
179,930
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
67
75th Percentile
9,749
Top Tweet
0.11
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
16.2%
Original
7.0%
Replies
75.3%
Retweets
1.4%
Quotes
0.0%
Threads
0.9%
With Media
50.9%
With Links
37.6%
With #Tags
91.0%
With @Mentions
35.8%
With Emojis
98
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,843 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 2,142 retweets (75% 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 2,843 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 primarily consists of football fans and supporters from Algeria and around the world. The content resonates with those interested in sports, national identity, and personal success stories.
Below Average
Audience Quality
41.6%
Suspicion Index
51.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
70.5%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
89.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.6%
No URL
49.9%
<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.
3,321,282
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
0.6%
>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).
8.8%
Creators
4,416 accounts
20.7%
Consumers
10,340 accounts
70.5%
Dormant
35,244 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):
43
Verified Followers
0.04% of total
5,670
Protected Accounts
5.67% 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 |
|---|---|---|---|
| @L9arami | 608,560 | - | - |
| @ATM_Mobilis | 564,606 | Telecommunications | technology, innovation, telecommunications |
| @scottisbell_ | 306,158 | Singer | Pop music, Actor, Michael Jackson |
| @FitnessHacks101 | 179,493 | Fitness Blogger | Strength & Conditioning, Running, Nutrition |
| @alahliestore | 163,000 | Sports Merchandise | Football, Merchandise, Saudi Arabia |
| @Ad8mmaher | 110,610 | Footballer | Football, Sports, Lifestyle |
| @Turki_alharbi44 | 110,357 | Sports Writer | Sports, Writing, Journalism |
| @Promo4Free | 107,334 | Promoter | Music, Promotion, Deals |
| @TheSportsman | 101,783 | Sports Media | Sports, Fans, Community |
| @DAMAC_CLUB | 98,251 | Sports Club | Football, Saudi Arabia, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,055
Followers With Bio
48,945
Followers Without Bio
51.05%
% With Bio
48.95%
% 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 2,843 analyzed36,053
Combined Engagement
19,779
Total Likes
16,274
Total Retweets
7,211
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @ChelseaFC: Happy birthday to Chelsea legend @didierdrogba! #CFC https://t.co/DfoghhTW0K
الحمد لله 🕋🤲🏾 https://t.co/bHNJgeaIic
No words… @LesVerts @fifaworldcup_ar 🇩🇿❤️ https://t.co/UFKkdPZQtU
RT @ForTheMen: When the prayer too long and u hungry https://t.co/eRBnYIloyV
Ghyr la coupe li njibouha lel dzayer 🇩🇿💪🏾❤️🏆🥇 https://t.co/ZaLcGe4oJI
Key Insights & Takeaways
His tweets often include religious gratitude, showing a personal and spiritual side. He frequently references national pride and football achievements, which likely resonate with his audience. He uses emojis and hashtags to enhance emotional connection and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,524,133
- + 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 @Hillal_Soudani reveals an well-established Twitter presence with 1,524,133 followers. The account demonstrates a content-creator strategy, averaging 171.3 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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