biọba
F.N.E || BIOBA out now on all platforms
1,664,957
Followers
774
Following
58,811
Tweets
899.0
Avg Engagement
361
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsLaycon'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: Mega Influencer (1M+)
- Account Age:2011-12-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,108
- Avg Likes per Tweet:599.3
- Avg Retweets per Tweet:299.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,108 tweetsTheir tweets consistently receive high engagement, with an average of 22,693 likes and 3,176 retweets per post, indicating strong audience interaction.
599.3
Avg Likes/Tweet
299.7
Avg Retweets/Tweet
1,862,504
Total Likes
931,509
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
80
Median Retweets
665
75th Percentile
67,105
Top Tweet
0.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
17.3%
Original
2.7%
Replies
70.9%
Retweets
9.1%
Quotes
0.0%
Threads
0.2%
With Media
40.5%
With Links
22.4%
With #Tags
78.2%
With @Mentions
46.0%
With Emojis
100
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.2%
Weekday Posts
18.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,108 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 2,204 retweets (71% 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 3,108 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 followersThe audience appears to be primarily interested in entertainment, music, and personal expression, with a focus on authenticity and connection.
Below Average
Audience Quality
35.7%
Suspicion Index
45.3%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.7%
Empty Bio
52.9%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
76.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
32.0%
<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.
7,251,465
Total Potential Reach
9
Median Follower Reach
31
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>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).
15.3%
Creators
7,663 accounts
31.8%
Consumers
15,896 accounts
52.9%
Dormant
26,441 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):
37
Verified Followers
0.04% of total
2,661
Protected Accounts
2.66% of total
1 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 |
|---|---|---|---|
| @MI_Abaga | 2,042,488 | Rapper | Music, Yung DenzL, TBDK |
| @LeBronJames | 1,004,090 | - | - |
| @conquerer1 | 237,665 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @bryannonly | 170,096 | Singer | Music, Singer, Songwriter |
| @karothk256 | 143,606 | - | - |
| @Mayorspeaks | 125,671 | Journalist | Journalism, Music, Publicity |
| @NEMZ_OFFICIAL | 116,233 | Rapper | Rapper, Dubstep, Skateboard |
| @SpArKsMaN_SA | 88,296 | Musician | Music, Lordship, Sparks |
| @Kess_Adjekpovu | 78,856 | Reality TV Star | Bbnaija, Tiktok, Influencer |
| @Vikkyoyinnn | 72,187 | Author | Author, Realtor, Promos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,693
Followers With Bio
57,307
Followers Without Bio
42.69%
% With Bio
57.31%
% 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 3,108 analyzed222,752
Combined Engagement
66,997
Total Likes
155,755
Total Retweets
44,550
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @davido: There is a time for everything. A time to Grieve and a time to Heal. A time to Laugh and a time to Dance. A time to Speak & A t…
I beg of you, GET YOUR PVC!
RT @petergyang: Just had a call with someone on Forbes 30 under 30 list and came away really impressed. He shared with me how he made VP a…
RT @wizkidayo: Y’all go listen to timeless by my brother @davido 🔥🔥🔥❤️🦅 https://t.co/Xz5o2GxXGo
Girl na only you, no competition 🫶🏽 https://t.co/wi4mN32bUa
Key Insights & Takeaways
The user emphasizes personal identity and authenticity in their content. They engage with fans through direct calls to action, such as requesting support for their work. Their tweets often include links, suggesting a focus on promoting their music or projects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,664,957
- + 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 @itsLaycon reveals an well-established Twitter presence with 1,664,957 followers. The account demonstrates a content-creator strategy, averaging 899.0 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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