سارة عبدالله حسن
122,905
Followers
693
Following
25,029
Tweets
34.4
Avg Engagement
95
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sarah_yafei'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:2013-03-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:17.8
- Avg Retweets per Tweet:16.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,224 tweetsHer tweets receive a moderate level of engagement, with an average of 849 likes and 162 retweets per tweet. The engagement suggests a dedicated but not overwhelmingly active audience.
17.8
Avg Likes/Tweet
16.5
Avg Retweets/Tweet
57,503
Total Likes
53,246
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
8
75th Percentile
4,631
Top Tweet
0.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
7.7%
Original
68.9%
Replies
23.3%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
12.2%
With Links
8.7%
With #Tags
92.9%
With @Mentions
31.3%
With Emojis
139
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.99
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 751 retweets (23% 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 3,224 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 followersHer audience appears to be interested in politics, social issues, and personal narratives. They engage with her content through likes and retweets, indicating a level of interest in her perspectives.
Average
Audience Quality
25.0%
Suspicion Index
31.6%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.8%
Empty Bio
23.9%
<10 Tweets
17.5%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.3%
No URL
14.5%
<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.
9,796,037
Total Potential Reach
78
Median Follower Reach
266
75th Percentile Reach
8.0%
>1K followers
0.9%
>10K followers
0.3%
>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).
48.3%
Creators
4,832 accounts
27.8%
Consumers
2,778 accounts
23.9%
Dormant
2,390 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):
63
Verified Followers
0.63% of total
716
Protected Accounts
7.16% 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 |
|---|---|---|---|
| @EdKrassen | 970,275 | Journalist | Politics, Journalism, Author |
| @Abdul_Alrifaee | 662,223 | Writer | writing, novelist, publishing |
| @anwarmalek | 584,561 | Writer, Lawyer | writing, human rights, international affairs |
| @IamMzilikazi | 550,121 | Musician | Pan-African music, Album, Rise |
| @Nssr___9 | 294,357 | Footballer | Football, Real Madrid, Al-Nassr |
| @SaedKanber | 237,309 | Interior Designer | Design, Execution, Supervision |
| @almedi2009 | 209,846 | Journalist | Media, TV presenter, Patriotism |
| @Bassam_A_Noor | 168,464 | Investor | Investments, Real Estate, Finance |
| @WW88889 | 150,879 | Music Enthusiast | Music, Arab, Classics |
| @mlakalhdrmyat | 148,696 | Influencer | Yemen, Love, Hadramout |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,121
Followers With Bio
4,879
Followers Without Bio
51.21%
% With Bio
48.79%
% 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 3,224 analyzed13,646
Combined Engagement
0
Total Likes
13,646
Total Retweets
2,729
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @MayaarAhmed__: ❤️ https://t.co/s4fDm9RC4d
RT @1Quotest: يقرأ وكأنه يداوي جروح قلوبنا .♥️ https://t.co/BR5N51mQah
RT @informatiions: 🚨اول مره اشوف شخص يتكلم عن الموت بهذي الطريقه الجميلة وفضلوها و شاركوها👌🏻 https://t.co/FRV74W0uCb
RT @CelebsArabic: ❤️ https://t.co/Casb0Dnih3
RT @tamerabdoamin: الشيء السيء اللي ضايقك حصل عشان يحميك من شيء أسوأ ماكنتش هتستحمله، والتأخير اللي حصل اتأخر عشان يجيلك في الوقت الأنسب.. ربنا مش بيجيب حاجة وحشة، ومش بيحاوط الخطاوي إلا بالخير.. الأمور المتروكة لله مضمونة.
Key Insights & Takeaways
Her tweets often reflect personal emotional responses to political events, She engages with topics related to national dialogue and security, Her content suggests a focus on real-time experiences and observations.
Strengths
- + Established follower base of 122,905
- + 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 @sarah_yafei reveals an growing Twitter presence with 122,905 followers. The account demonstrates a conversation-first approach, averaging 34.4 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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