NBA Arabic
لا تفوت دقيقة من المتعة مع NBA League Pass 📺 مرحباً بكم في الحساب الرسمي للـ NBA باللغة العربية. 🏀🤩
33,064
Followers
118
Following
7,708
Tweets
32.3
Avg Engagement
104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NBAArabic'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:2022-04-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:25.7
- Avg Retweets per Tweet:6.6
- Followers Analyzed:27,327
Engagement Analysis
Based on 3,229 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating consistent interaction. The use of trending topics and celebrity mentions helps boost visibility and participation.
25.7
Avg Likes/Tweet
6.6
Avg Retweets/Tweet
82,981
Total Likes
21,171
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
27
75th Percentile
16,012
Top Tweet
0.98
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
77.2%
Original
3.5%
Replies
18.6%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
81.3%
With Links
52.6%
With #Tags
37.1%
With @Mentions
79.9%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
62.9%
Weekday Posts
37.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 601 retweets (19% 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 3,229 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 27,327 followersThe primary audience is Arabic-speaking NBA fans, including sports enthusiasts and casual viewers. The content also appeals to those interested in celebrity culture and entertainment.
Average
Audience Quality
21.2%
Suspicion Index
25.7%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.5%
Empty Bio
18.5%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
53.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
12.0%
<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.
46,354,767
Total Potential Reach
38
Median Follower Reach
164
75th Percentile Reach
5.0%
>1K followers
0.7%
>10K followers
0.2%
>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).
63.7%
Creators
17,409 accounts
17.8%
Consumers
4,871 accounts
18.5%
Dormant
5,047 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):
187
Verified Followers
0.68% of total
4,365
Protected Accounts
15.97% 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 |
|---|---|---|---|
| @JohnCena | 14,108,796 | Wrestler | Wrestling, Motivation, Self-promotion |
| @beINSPORTSNews | 6,402,860 | Sports News | Sports, News, Live streaming |
| @Benayadachraf | 3,474,341 | Unknown | Technology, Innovation, Entrepreneurship |
| @Bucks | 1,985,965 | Sports Team | Basketball, Travel, Fashion |
| @ATLHawks | 1,568,673 | Sports Team | Basketball, Atlanta, True fans |
| @SinghLions | 1,336,122 | Restaurateur | Food, Travel, Influencer |
| @NBALatam | 754,265 | Sports Media | Basketball, Latin America, NBA |
| @Fitteet_ | 530,947 | Sports News | Football, Saudi League, Sports News |
| @FatKhairo | 490,707 | Comedian | Saudi Comic, Creative Director, Happily Married |
| @NBAFRANCE | 472,004 | Sports Media | Basketball, France, NBAUndrafted |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,523
Followers With Bio
10,804
Followers Without Bio
60.46%
% With Bio
39.54%
% 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 3,229 analyzed31,563
Combined Engagement
18,811
Total Likes
12,752
Total Retweets
6,313
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
⚽️ x 🏀 احتفال أحد ملوك الكرة المصرية على طريقة ملك الـ NBA 👑 📸| @ZSCOfficial | @Shikabala https://t.co/d3XmLxQKuS
RT @chicagobulls: The greatest ever. Happy 2/3/23 🐐 https://t.co/9lIHuBKo7W
إذا فاتك ارتقاء النصيري لحظة الهدف 😅 ديما مغرب 🇲🇦⚽️ https://t.co/PXIyrVgeSh
طوال مسيرته لم يعرف إلا "النصر" 😉 يوم ميلاد سعيد يا ملك 🤩 @KingJames! 🥳🎈 https://t.co/6qHjNw0Sdv
RT @chicagobulls: 1997 ➡️ 2023 📸 https://t.co/QHbK2tGHnV
Key Insights & Takeaways
The account leverages celebrity culture to increase engagement and relatability It uses a mix of sports highlights and entertainment to broaden its appeal It focuses on key NBA moments and stars to maintain relevance and interest
Strengths
- + Established follower base of 33,064
- + 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 @NBAArabic reveals an growing Twitter presence with 33,064 followers. The account demonstrates a content-creator strategy, averaging 32.3 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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