97,678
Followers
155
Following
1,019
Tweets
610.7
Avg Engagement
24
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HsHeikal'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: Mid-Tier (10K+)
- Account Age:2014-04-23
- Verification:No
- Location:Egypt
Data Summary
- Tweets Analyzed:981
- Avg Likes per Tweet:476.8
- Avg Retweets per Tweet:133.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 981 tweetsThe user's tweets receive high engagement, indicating a loyal and active audience. The consistent interaction suggests a strong connection between the user and their followers.
476.8
Avg Likes/Tweet
133.9
Avg Retweets/Tweet
467,784
Total Likes
131,316
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
133
Median Likes
16
Median Retweets
703
75th Percentile
18,557
Top Tweet
6.25
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.6%
Original
20.2%
Replies
3.7%
Retweets
2.5%
Quotes
0.0%
Threads
0.0%
With Media
17.5%
With Links
14.7%
With #Tags
28.7%
With @Mentions
29.2%
With Emojis
123
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 981 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 36 retweets (4% 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 981 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 10,000 followersThe audience appears to be interested in spiritual and emotional content, possibly including individuals seeking comfort or inspiration. They may also be followers of Islamic teachings and personal development.
Average
Audience Quality
24.9%
Suspicion Index
28.4%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.3%
Empty Bio
36.1%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
52.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
23.6%
<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.
4,935,596
Total Potential Reach
22
Median Follower Reach
115
75th Percentile Reach
3.4%
>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).
36.8%
Creators
3,681 accounts
27.1%
Consumers
2,712 accounts
36.1%
Dormant
3,607 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):
4
Verified Followers
0.04% of total
1,191
Protected Accounts
11.91% 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 |
|---|---|---|---|
| @Ghonim | 2,860,472 | - | - |
| @nXA5SuzCvNnMsWQ | 123,183 | Unknown | Unfortunately, the information provided does not include any details about the Twitter account's handle, name, or bio. Could you please provide more context or clarify the request? |
| @5rllj | 67,174 | - | - |
| @ebra_192 | 61,489 | Writer | Arabic, Guru, Mystery |
| @3abdul7amid | 42,798 | Entrepreneur | Technology, Entrepreneurship, Innovation |
| @Iti_x | 37,840 | - | - |
| @Akw_9r6 | 32,340 | - | - |
| @unla33_33 | 27,657 | - | - |
| @Mobytr5632 | 17,690 | - | - |
| @MaiMOsman1 | 17,312 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,673
Followers With Bio
3,327
Followers Without Bio
66.73%
% With Bio
33.27%
% 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 981 analyzed67,725
Combined Engagement
22,861
Total Likes
44,864
Total Retweets
13,545
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @MoSalah: الطبيعي أن أي اتحاد كرة يسعى لحل مشاكل لاعبيه حتى يوفروا له الراحة.. لكن في الحقيقة ما أراه عكس ذلك تمامًا.. ليس من الطبيعي أن يتم تجاهل رسائلي ورسائل المحامي الخاص بي ... لا أدري لماذا كل هذا؟ أليس لديكم الوقت الكافي للرد علينا؟!
الحمد لله.... انفصلنا والدنيا اه فعلا مش بتقف على حد..... بس فيه حاجات جوانا كتير والله بتقف وبتخلينا عايشين اشباه بني ادمين !! يارب الصبر و الجبر من عندك لكل متفارقين وهون يارب ليل كل محروم ومهموم ومكروب
RT @MoSalah: انا بس صعبان علّيا الهاشتاج 😢🤣
RT @OfficialHenedy: احنا مش زعلانين منك يا صلاح.. احنا زعلانين على زعلك https://t.co/DzJcAhJctB
اللهم هَوِن ثُم هَوِن ثُم هَوِن ثُم أرِح نفسا لا يعَلمُ حَالها إلا أنت
Key Insights & Takeaways
The user's content is highly personal and emotional, often expressing deep feelings and spiritual reflections. Their tweets frequently include religious and Quranic references, indicating a strong faith-based influence. They may be targeting an audience looking for emotional support, spiritual guidance, or personal connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,678
- + 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 @HsHeikal reveals an well-established Twitter presence with 97,678 followers. The account demonstrates a content-creator strategy, averaging 610.7 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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