laylo
I want to stab my self in the face she/her [email protected]
109,436
Followers
183
Following
8,368
Tweets
2,919.4
Avg Engagement
48
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @layloqasim'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:2018-01-01
- Verification:No
- Location:Los Angeles, CA New York, NY
Data Summary
- Tweets Analyzed:3,085
- Avg Likes per Tweet:510.8
- Avg Retweets per Tweet:2,408.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,085 tweetsHer tweets consistently receive high engagement, indicating a strong connection with her audience. The average likes and retweets per tweet highlight her popularity.
510.8
Avg Likes/Tweet
2,408.6
Avg Retweets/Tweet
1,575,800
Total Likes
7,430,617
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
123
Median Likes
8
Median Retweets
616
75th Percentile
260,211
Top Tweet
26.68
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
61.6%
Original
16.4%
Replies
18.4%
Retweets
3.7%
Quotes
0.0%
Threads
0.4%
With Media
26.4%
With Links
0.9%
With #Tags
33.3%
With @Mentions
14.4%
With Emojis
68
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,085 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 567 retweets (18% 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 3,085 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 10,000 followersHer audience appears to be interested in personal stories, lifestyle, and relatable content. The engagement suggests a loyal and active follower base.
Average
Audience Quality
27.6%
Suspicion Index
30.5%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.7%
Empty Bio
31.8%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
61.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
21.4%
<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.
3,809,344
Total Potential Reach
23
Median Follower Reach
101
75th Percentile Reach
2.9%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
44.1%
Creators
4,410 accounts
24.1%
Consumers
2,408 accounts
31.8%
Dormant
3,182 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):
45
Verified Followers
0.45% of total
1,581
Protected Accounts
15.81% of total
2 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 |
|---|---|---|---|
| @ZachBoychuk | 827,945 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @aliyahInterlude | 367,158 | - | - |
| @Jaaythompson_ | 86,990 | Streamer/Content Creator | Gaming, Content Creation, Social Media |
| @niyasayshi | 83,614 | Student | cats, humor, love |
| @broadwatermgmt | 75,001 | Entrepreneur | entrepreneurship, creativity, start-up |
| @okstephenadd | 72,313 | - | - |
| @REDSEASHAWTY | 65,738 | Influencer | Fashion, Beauty, Travel |
| @PureFireBeatz | 57,446 | Music Producer | Music, Beats, Composition |
| @melllooows | 49,058 | Designer | Fashion, Design, Shipping |
| @iamEddieStokes | 46,049 | Music Producer | Music, Production, DJing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,029
Followers With Bio
3,971
Followers Without Bio
60.29%
% With Bio
39.71%
% 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 3,085 analyzed834,237
Combined Engagement
127,170
Total Likes
707,067
Total Retweets
166,847
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @Lanson17: Spread awareness you never know who you can help https://t.co/TxDLAK5yM6
RT @jazyn5: She a 10 but all she do is sleep and overthink
Went into a hookah lounge with my friends and look what they put for the tab name https://t.co/itOInlGYRa
RT @kenkhristine: “pro life” but no baby formula on the shelves? yeah okay.
RT @thenyjew: forced birth in a country with baby formula shortages and mass school shootings weekly you can’t make this up
Key Insights & Takeaways
Her top tweets include personal experiences and lifestyle moments, which resonate with her audience. She often shares content related to personal desires and relationships, indicating a focus on emotional and relatable topics. Her use of humor and personal anecdotes helps build a connection with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109,436
- + 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 @layloqasim reveals an exceptionally influential Twitter presence with 109,436 followers. The account demonstrates a content-creator strategy, averaging 2,919.4 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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