Anwar Jibawi
Creator
240,772
Followers
2,872
Following
433
Tweets
370.7
Avg Engagement
240
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @anwar'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:2010-05-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:309
- Avg Likes per Tweet:292.1
- Avg Retweets per Tweet:78.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 309 tweetsAnwar's tweets receive an average of 5,224 likes and 895 retweets, indicating strong audience interaction and interest in his content.
292.1
Avg Likes/Tweet
78.6
Avg Retweets/Tweet
90,260
Total Likes
24,282
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
104
Median Likes
14
Median Retweets
215
75th Percentile
42,542
Top Tweet
1.54
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
74.1%
Original
1.3%
Replies
23.6%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
85.8%
With Links
13.6%
With #Tags
36.6%
With @Mentions
30.4%
With Emojis
75
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
89.0%
Weekday Posts
11.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 309 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 73 retweets (24% 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 309 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 50,000 followersHis audience appears to be interested in self-defense, personal experiences, and relatable content involving public figures.
Average
Audience Quality
28.0%
Suspicion Index
30.7%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
36.7%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
63.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
25.1%
<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.
41,104,268
Total Potential Reach
13
Median Follower Reach
90
75th Percentile Reach
4.5%
>1K followers
0.6%
>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).
42.5%
Creators
21,268 accounts
20.8%
Consumers
10,377 accounts
36.7%
Dormant
18,355 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):
241
Verified Followers
0.24% of total
11,364
Protected Accounts
11.25% of total
6 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 |
|---|---|---|---|
| @StephenCurry30 | 17,382,101 | - | - |
| @JohnCena | 14,100,483 | Wrestler | Wrestling, Motivation, Self-promotion |
| @YouTubeCreators | 6,701,651 | Content Creator | tools, tips, inspiration |
| @MarlonWayans | 1,992,813 | Actor | Comedy, Acting, Netflix |
| @SinghLions | 1,334,303 | Restaurateur | Food, Travel, Influencer |
| @JDaIey | 1,230,335 | - | - |
| @AlexWassabi | 1,222,880 | YouTuber | vlogging, comedy, positivity |
| @BabyAriel | 1,121,470 | Influencer | Music, Social Media, Self-expression |
| @JoJoFromJerz | 854,756 | Political Commentator | politics, news, puns |
| @ZachBoychuk | 829,151 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,607
Followers With Bio
39,382
Followers Without Bio
61.0%
% With Bio
39.0%
% 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 309 analyzed61,649
Combined Engagement
45,829
Total Likes
15,820
Total Retweets
12,330
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Self Defense 🩴 https://t.co/jlx3JPmdlD
RT @MrBeastYT: YouTube is matching the next million dollars donated to TeamTrees thru the Youtube donate button!!!!! WHAT IS GOING ON???? T…
He caught me off guard @LoganPaul https://t.co/H6MAVb1f1c
When you think you’re old enough to talk back to your mom... https://t.co/7fsMibLzSR
My mom is back ❤️ https://t.co/6BLjCjQzxl
Key Insights & Takeaways
His top tweets often involve personal experiences and real-life situations, which likely drive engagement. He frequently shares content related to self-defense, suggesting this is a key theme for his audience. Engagement is high, possibly due to the relatability and authenticity of his posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 240,772
- + 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 @anwar reveals an well-established Twitter presence with 240,772 followers. The account demonstrates a content-creator strategy, averaging 370.7 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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