فهد العليوة
كاتب | writer
78,902
Followers
300
Following
26,036
Tweets
344.5
Avg Engagement
71
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FahadAlAliwa'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:2011-05-09
- Verification:No
- Location:Kuwait | الكويت
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:7.3
- Avg Retweets per Tweet:337.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsHis tweets receive moderate engagement with an average of 185 likes and 38 retweets. The audience responds positively to nostalgic and emotional content about music.
7.3
Avg Likes/Tweet
337.2
Avg Retweets/Tweet
23,173
Total Likes
1,069,386
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
14
75th Percentile
545,904
Top Tweet
4.37
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
39.6%
Original
29.2%
Replies
21.3%
Retweets
9.9%
Quotes
0.0%
Threads
0.6%
With Media
44.1%
With Links
26.6%
With #Tags
55.8%
With @Mentions
66.4%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.74
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 675 retweets (21% 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 3,171 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 followersHis audience likely includes music lovers, especially those who appreciate Arabic pop and female vocalists. They are emotionally engaged and value personal, heartfelt content.
Average
Audience Quality
25.0%
Suspicion Index
27.4%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.6%
Empty Bio
28.1%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
55.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
17.1%
<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.
8,368,099
Total Potential Reach
23
Median Follower Reach
117
75th Percentile Reach
4.7%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.3%
Creators
4,632 accounts
25.6%
Consumers
2,555 accounts
28.1%
Dormant
2,813 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):
69
Verified Followers
0.69% of total
1,769
Protected Accounts
17.69% of total
5 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 |
|---|---|---|---|
| @mobile_81 | 819,351 | Motivational Speaker | Homeland, Day, Self-esteem |
| @HumoodAlkhudher | 557,487 | Singer | Music, Album, YouTube |
| @YasserHareb | 296,139 | Writer, Producer | writing, producing, television |
| @aL_ReFa3e | 248,118 | Comedian | Football, Travel, Photography |
| @SaedKanber | 236,938 | Interior Designer | Design, Execution, Supervision |
| @bof9laa | 216,932 | Activist | Marxist, Activist, Tourism |
| @trndkw__ | 209,681 | News Outlet | News, Kuwait, Twitter |
| @iamdianakarazon | 169,951 | Singer | Music, Entertainment, Arab culture |
| @Nabil_Youtube | 166,512 | - | - |
| @m7amad_al3alawi | 165,851 | Actor & Director | actor, director, Kuwait |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,237
Followers With Bio
3,763
Followers Without Bio
62.37%
% With Bio
37.63%
% 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 3,171 analyzed1,018,321
Combined Engagement
0
Total Likes
1,018,321
Total Retweets
203,664
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @JoeBiden: It’s a new day in America.
RT @violadavis: What a beautiful sight!! Well deserved each and everyone of you! ❤❤❤ https://t.co/88aFsWZm4q
RT @Turki_alalshikh: رقيه وسبيكة في #اوتليت_الرياض بس لاتسوون زيهم تأكدوا من المقاسات 😂🔥🔥 ١٤ يوم بتكون تخفيضات كبييررة ١٥٠٠ براند عالمي ومحلي ❤️🇸🇦🇸🇦 الكشخة بأسعار حلوة موو 😉🔥 https://t.co/JQsWODmmM1 https://t.co/9wtnHXpOY9
RT @Sayood: تفرقة الشعوب https://t.co/vF5LkRhvpK
Key Insights & Takeaways
His content is heavily focused on Arabic music and female artists, which resonates strongly with his audience. He uses emotional and nostalgic language to connect with followers, creating a sense of shared experience. His engagement is driven by personal expression and admiration for music, rather than promotional or commercial content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,902
- + 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 @FahadAlAliwa reveals an well-established Twitter presence with 78,902 followers. The account demonstrates a content-creator strategy, averaging 344.5 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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