Nader Al-Sharari
professional football player
20,052
Followers
26,215
Tweets
0.6
Avg Engagement
9
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NaderAlSharar'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:2014-07-06
- Verification:No
- Location:Kingdom of Saudi Arabia
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:0.4
- Avg Retweets per Tweet:0.2
- Followers Analyzed:35,978
Engagement Analysis
Based on 3,199 tweetsEach tweet typically receives around 75 likes and 63 retweets on average, indicating a moderate level of engagement. The content is often shared and discussed within the crypto community.
0.4
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
1,429
Total Likes
635
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
352
Top Tweet
0.03
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
0.2%
Original
99.8%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
0.1%
With Links
0.2%
With #Tags
99.9%
With @Mentions
100.0%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
456.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
76.2%
Weekday Posts
23.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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.
Posting Patterns & Optimal Timing
Based on 3,199 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 35,978 followersThe audience appears to be interested in cryptocurrency, blockchain technology, and related investment opportunities. They are likely active participants in the crypto community, including traders and content creators.
Below Average
Audience Quality
41.5%
Suspicion Index
46.6%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.9%
Empty Bio
61.5%
<10 Tweets
24.6%
Mass Following (>2K)
0.0%
New (<90 days)
85.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
61.2%
<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.
37,217,541
Total Potential Reach
1
Median Follower Reach
78
75th Percentile Reach
4.9%
>1K followers
0.8%
>10K followers
0.1%
>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).
37.1%
Creators
13,338 accounts
1.4%
Consumers
514 accounts
61.5%
Dormant
22,126 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):
16
Verified Followers
0.04% of total
416
Protected Accounts
1.16% of total
1 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 |
|---|---|---|---|
| @JohnCena | 14,106,483 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,115 | - | - |
| @Karijelinek | 1,004,067 | Modelo | Modelo, Actriz, Influencers |
| @NoraEstia | 778,699 | Crypto Influencer | Crypto, Giveaways, NFT |
| @ShibaArmy2021 | 500,234 | - | - |
| @DrPanteo | 454,099 | Crypto Influencer | Crypto, DrPanteoPaid, Projects |
| @aly_ahmed2 | 451,187 | Traveler | Travel, God, Hope |
| @HeiraCrypto | 449,108 | - | - |
| @Alexamicaleff | 322,443 | Model | Modeling, Crypto, Yoga |
| @EmmaGiveway | 293,482 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,513
Followers With Bio
11,465
Followers Without Bio
68.13%
% With Bio
31.87%
% 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 3,199 analyzed1,343
Combined Engagement
718
Total Likes
625
Total Retweets
269
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Just bought the #LVX dip. Feels like a 1000x gem. The team at @Levex_one is top-notch and delivers on promises https://t.co/VX4XnsrnTA
GM #CRYPTO FAM!! Shill me the next 100x gem! 💎🎯 #altcoin #BSC #memecoin #BNB #NFTs #GameFi #Metaverse #ETH #BSCgem
✅@MOSDEX_Official has announced a 200,000 #USDT bounty for content writers and creators. You can earn up to 500 $USDT for writing about the MOSDEX arbitrage trading platform. Click here to learn more https://t.co/AH9wmFnVIo https://t.co/iYzRVDhMxa
✅https://t.co/V8SHw4CrYq The phrase conveys a sense of determination and conviction in the potential of cryptocurrency, and the character could be seen as a commentary on the current trend of high interest in Bitcoin #NFT #digitalart #cryptoart #NFTRelease #NFTDrop #opensea https
@SuiOkayBears Hello! check DM! 💫📤
Key Insights & Takeaways
The account frequently promotes high-risk, high-reward crypto projects, often using aggressive language like '100x gem' and 'shill me'. It leverages partnerships and collaborations with crypto projects to drive engagement and promote content. There is a strong emphasis on community-driven initiatives, such as bounties for content creators.
Strengths
- + Established follower base of 20,052
- + 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 @NaderAlSharar reveals an growing Twitter presence with 20,052 followers. The account demonstrates a conversation-first approach, averaging 0.6 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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