Model Roz
The First Saudi (Female) Model ✨ IG:https://www.facebook.com/unsupportedbrowser SC:https://t.co/M0ElkGMCow TikTok:https://www.tiktok.com/?_r=1
193,135
Followers
1,069
Following
6,303
Tweets
143.0
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ModelRoz'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:2011-07-05
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,152
- Avg Likes per Tweet:98.7
- Avg Retweets per Tweet:44.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,152 tweetsModelRoz's tweets receive high engagement, with an average of 5,712 likes and 585 retweets per tweet. Her content is well-received and often shared by her followers.
98.7
Avg Likes/Tweet
44.3
Avg Retweets/Tweet
311,173
Total Likes
139,557
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
21
75th Percentile
72,530
Top Tweet
0.74
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
9.5%
Original
79.4%
Replies
6.9%
Retweets
4.2%
Quotes
0.0%
Threads
0.1%
With Media
26.8%
With Links
7.3%
With #Tags
88.2%
With @Mentions
83.8%
With Emojis
45
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.35
Reply/Original Ratio
0.61
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 3,152 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 216 retweets (7% 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 3,152 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 followersHer audience is primarily interested in fashion, beauty, and lifestyle content. They are likely young adults and women who follow Saudi influencers and fashion trends.
Average
Audience Quality
24.0%
Suspicion Index
30.9%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
28.7%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
50.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
17.6%
<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.
23,706,946
Total Potential Reach
15
Median Follower Reach
83
75th Percentile Reach
3.9%
>1K followers
0.5%
>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).
46.5%
Creators
23,230 accounts
24.8%
Consumers
12,398 accounts
28.7%
Dormant
14,372 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):
231
Verified Followers
0.23% of total
23,920
Protected Accounts
23.68% 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 |
|---|---|---|---|
| @Michael5SOS | 9,972,184 | Musician | music, penguins, person |
| @steveaoki | 8,118,290 | DJ | Music, DJing, Collaboration |
| @msstol | 2,352,660 | Comedian | Comedy, Fashion, Writing |
| @SinghLions | 1,334,060 | Restaurateur | Food, Travel, Influencer |
| @Cairokeeboost | 1,333,014 | - | - |
| @DianaHaddad | 1,048,980 | Singer | Music, Arab, Princess |
| @HanthlPro | 934,351 | Writer | Stories, Coverages, Advertising |
| @reemqz | 867,276 | Entertainment | Entertainment, Saudi Arabia, Events |
| @Hassanalsobhan | 812,814 | Media Personality | Predictions, Media, Advertising |
| @NOH8Campaign | 801,091 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,651
Followers With Bio
43,346
Followers Without Bio
57.08%
% With Bio
42.92%
% 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 3,152 analyzed125,502
Combined Engagement
26,319
Total Likes
99,183
Total Retweets
25,100
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @mrz_4l: @MansHFC @ulefif والله من تصويري،،،والله الله باللايكات 🙈❤️❤️❤️ https://t.co/UMBMdhT2VX
RT @berela_b: انا وابوي سوينا قرطاسيه من فترة و احس انه متضايق لان ماحد يعرفها فقمت اليوم سويت فيديو اعلاني بسيط وقلت له بتشوف الزحمة لين ع…
النساء ⛔️ https://t.co/dfyqit6Fqp https://t.co/kMLYDyhbEz
congratulation ladies 💗🖤 @ygofficialblink #PCAs2019 https://t.co/EQWyZof6O0
💗 https://t.co/Oin5IuQYRu
Key Insights & Takeaways
She uses a mix of personal and promotional content to maintain engagement Her links often direct to Instagram, Snapchat, and TikTok, indicating a strong multimedia presence Her top tweets include both personal messages and brand-related posts, showing a balance between authenticity and commercial appeal
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 193,135
- + 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 @ModelRoz reveals an well-established Twitter presence with 193,135 followers. The account demonstrates a conversation-first approach, averaging 143.0 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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