Mostafa Khater
An Egyptian Actor
469,004
Followers
197
Following
691
Tweets
172.1
Avg Engagement
93
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MostafaKhater'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:2018-04-01
- Verification:No
- Location:Egypt
Data Summary
- Tweets Analyzed:674
- Avg Likes per Tweet:159.9
- Avg Retweets per Tweet:12.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 674 tweetsHis tweets typically receive around 3,168 likes and 93 retweets on average, indicating a strong and active engagement with his followers. The content is well-received and shared within his community.
159.9
Avg Likes/Tweet
12.2
Avg Retweets/Tweet
107,739
Total Likes
8,238
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
157
75th Percentile
12,530
Top Tweet
0.37
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
34.6%
Original
44.1%
Replies
12.0%
Retweets
9.3%
Quotes
0.0%
Threads
0.1%
With Media
36.6%
With Links
37.8%
With #Tags
65.9%
With @Mentions
51.5%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.27
Reply/Original Ratio
0.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
51.9%
Weekday Posts
48.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 674 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 81 retweets (12% 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 674 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 Egyptian fans and followers interested in entertainment and sports. The content is tailored to engage both his personal and professional fan base.
Below Average
Audience Quality
43.3%
Suspicion Index
60.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.3%
Empty Bio
70.8%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
88.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.7%
No URL
53.0%
<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.
15,513,856
Total Potential Reach
3
Median Follower Reach
12
75th Percentile Reach
0.6%
>1K followers
0.0%
>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).
9.1%
Creators
4,562 accounts
20.1%
Consumers
10,046 accounts
70.8%
Dormant
35,392 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):
47
Verified Followers
0.05% of total
9,901
Protected Accounts
9.9% 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 |
|---|---|---|---|
| @MoezMasoud | 3,552,473 | Scholar | Cambridge Scholar, Cultural Critic, TV & Film Producer |
| @khaledbauomy | 3,215,936 | Influencer | Egypt, Instagram, Travel |
| @ElHadary | 2,655,146 | Goalkeeper | Football, Goalkeeping, Egypt |
| @RaniahYousief | 2,586,985 | Actress | Fashion, Beauty, Acting |
| @khaledalsawy | 1,833,452 | Unknown | technology, innovation, entrepreneurship |
| @MostafaShaban | 1,589,911 | Actor | N/A |
| @Alimohamedali65 | 1,279,265 | Sport Commentator | sports, commentator, beINSPORTS |
| @ReemMoustafa | 1,274,540 | Influencer | Dreams, Risk, Life |
| @AhmedShamy | 378,256 | Entertainer | Actor, Singer, wama |
| @diaaelsayed | 321,301 | Coach | Football, Coaching, Egypt |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,261
Followers With Bio
58,739
Followers Without Bio
41.26%
% With Bio
58.74%
% 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 674 analyzed24,666
Combined Engagement
21,058
Total Likes
3,608
Total Retweets
4,933
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
مع احسن لاعب في العالم 🔥💪 كل سنه وانت طيب يا #ابو_مكه 🎁🥳 #محمد_صلاح #مصطفي_خاطر #Mosalah @MoSalah https://t.co/1ONabPz1BX
انا لله وانا اليه راجعون .. اللهم اغفر له وارحمه و ادخله فسيح جناتك 😓 https://t.co/8XqDLnWTsR
ونا قاعد بتفرج علي ماتش الاهلي والزمالك اتزحلقت مرتين😂 #الاهلي_الزمالك
RT @MoSalah: ⚽️ https://t.co/5oMfMwnVbO
انا الحقيقه بحب جدا اغاني المهرجانات حاجه كده صناعه مصريه اصيله ومتلاقيش حد ينافسنا فيها .. ربنا يعدي الازمه دي علي خير لاني عاوز ارقص 💃
Key Insights & Takeaways
He frequently uses hashtags and mentions to increase visibility and interaction His content often includes personal reflections and emotional messages He blends entertainment and sports topics to appeal to a broader audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 469,004
- + 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 @MostafaKhater reveals an well-established Twitter presence with 469,004 followers. The account demonstrates a conversation-first approach, averaging 172.1 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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