Amna Al Qubaisi 🦅
F1 Academy Driver with MP 🟠 🇦🇪 🇲🇦 That girl with a Skyline 🖤
30,467
Followers
190
Following
2,696
Tweets
942.0
Avg Engagement
109
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Amna_Alqubaisii'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:2017-05-17
- Verification:No
- Location:Abu Dhabi
Data Summary
- Tweets Analyzed:590
- Avg Likes per Tweet:237.7
- Avg Retweets per Tweet:704.2
- Followers Analyzed:29,604
Engagement Analysis
Based on 590 tweetsHer tweets typically receive high engagement, with an average of 5,970 likes and 187 retweets per post.
237.7
Avg Likes/Tweet
704.2
Avg Retweets/Tweet
140,257
Total Likes
415,504
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
21
75th Percentile
408,454
Top Tweet
30.92
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
20.3%
Original
64.6%
Replies
14.2%
Retweets
0.8%
Quotes
0.0%
Threads
0.2%
With Media
26.8%
With Links
6.1%
With #Tags
81.4%
With @Mentions
41.4%
With Emojis
50
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.17
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 590 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 84 retweets (14% 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 590 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 29,604 followersHer audience includes motorsport enthusiasts and fans of F1 Academy, as well as general social media users interested in her personal brand.
Good
Audience Quality
17.0%
Suspicion Index
18.0%
Low-Quality %
106
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.9%
Empty Bio
8.5%
<10 Tweets
14.8%
Mass Following (>2K)
0.0%
New (<90 days)
39.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
5.1%
<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.
51,393,715
Total Potential Reach
106
Median Follower Reach
323
75th Percentile Reach
8.5%
>1K followers
0.8%
>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).
79.3%
Creators
23,490 accounts
12.1%
Consumers
3,590 accounts
8.5%
Dormant
2,524 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):
325
Verified Followers
1.1% of total
4,769
Protected Accounts
16.11% of total
8 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 | 14,105,734 | Wrestler | Wrestling, Motivation, Self-promotion |
| @richardbranson | 12,564,246 | Entrepreneur | adventurer, philanthropy, astronaut |
| @JDaIey | 1,226,319 | - | - |
| @ZachBoychuk | 830,515 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 802,074 | Activism | equality, bullying, discrimination |
| @AbdulazizTF | 704,989 | Sports Leader | Sports, Olympics, Football |
| @J4CKMULL | 500,923 | - | - |
| @MyPowertalk | 344,249 | Inspirational Speaker | Writing, Speaking, Empowerment |
| @YasserHareb | 297,437 | Writer, Producer | writing, producing, television |
| @AlraisiSaeed | 280,318 | Politician | UAE, Entrepreneur, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,444
Followers With Bio
9,160
Followers Without Bio
69.06%
% With Bio
30.94%
% 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 590 analyzed447,059
Combined Engagement
37,447
Total Likes
409,612
Total Retweets
89,412
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @Schwarzenegger: I love the Russian people. That is why I have to tell you the truth. Please watch and share. https://t.co/6gyVRhgpFV
Stay wavy baby https://t.co/LpDJieUSG2
Huge honor to present the fastest lap award to @LewisHamilton 🤩 Thank you @DHLGlobal for this amazing opportunity 🤍 https://t.co/ssxMoGTR2e
Just realized I’ve been verified on twitter 🫠 https://t.co/Krntnom8Y5
On standby for 2022 https://t.co/FBAME5gEYL
Key Insights & Takeaways
She leverages her verified status to enhance credibility and visibility. Her content often highlights her achievements and recognition in the motorsport community. She blends personal interests with professional milestones to connect with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 30,467
- + 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 @Amna_Alqubaisii reveals an well-established Twitter presence with 30,467 followers. The account demonstrates a conversation-first approach, averaging 942.0 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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