Jay Won
business: [email protected]
372,765
Followers
763
Following
2,949
Tweets
1,216.7
Avg Engagement
498
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sinatraa'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:2014-01-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,632
- Avg Likes per Tweet:1,009.4
- Avg Retweets per Tweet:207.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,632 tweetsHer tweets receive substantial likes, indicating a strong connection with her audience. Retweets are also relatively high, showing her content is often shared and appreciated.
1,009.4
Avg Likes/Tweet
207.3
Avg Retweets/Tweet
2,656,690
Total Likes
545,634
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
60
Median Likes
3
Median Retweets
452
75th Percentile
342,199
Top Tweet
3.26
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
30.3%
Original
46.4%
Replies
21.4%
Retweets
1.9%
Quotes
0.0%
Threads
0.2%
With Media
36.9%
With Links
6.3%
With #Tags
72.6%
With @Mentions
13.1%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.53
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,632 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 563 retweets (21% 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 2,632 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 appears to be interested in personal development, entertainment, and celebrity culture. They engage with her content that blends personal stories with public figures.
Average
Audience Quality
28.7%
Suspicion Index
37.1%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.5%
Empty Bio
40.2%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
65.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
27.6%
<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.
10,742,788
Total Potential Reach
6
Median Follower Reach
31
75th Percentile Reach
1.3%
>1K followers
0.2%
>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).
34.7%
Creators
17,353 accounts
25.1%
Consumers
12,566 accounts
40.2%
Dormant
20,081 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):
283
Verified Followers
0.28% of total
15,152
Protected Accounts
15.0% of total
3 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 |
|---|---|---|---|
| @LeBronJames | 998,921 | - | - |
| @twomad | 798,832 | Meme Creator | meme, exchange, center |
| @russotalks | 604,458 | YouTuber | Roblox, YouTube, Dad |
| @Cris__U | 600,882 | Day Trader | DJ, Day Trader, Crypto |
| @IamMzilikazi | 546,480 | Musician | Pan-African music, Album, Rise |
| @SoyBienMamon | 462,822 | DJ | Music, DJ, Doodles |
| @NAMELESS | 295,624 | Analyst | Call of Duty, Twitch, Razer |
| @TikoFn | 283,430 | YouTuber | YouTube, videos, fishing |
| @TheSommerset | 242,909 | Content Creator | Gaming, Content Creation, Streaming |
| @yFrostyx | 240,120 | Professional Gamer | Fortnite, Competitive Gaming, Brazil |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,641
Followers With Bio
44,356
Followers Without Bio
56.08%
% With Bio
43.92%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,632 analyzed613,808
Combined Engagement
254,811
Total Likes
358,997
Total Retweets
122,762
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @Wendys: Y’all keep asking, so here’s your chance. The people in charge say if you guys can get our tweet (this one right here) to 2 Mi…
It’s been a year since I was forced to step back from competitive play. In that time, I have learned a lot about myself and grown as a person. I am now ready for a return to competitive play and will be starting tryouts this week.
LMFAO https://t.co/HMy2KntJVR
5 minutes ago https://t.co/Xo1eMVX1tm
my love https://t.co/yoxdicUBUQ
Key Insights & Takeaways
She focuses on personal growth and self-reflection, which resonates with her audience. Her tweets often include links to external content, suggesting she shares additional context or media. She maintains a balance between personal and public content, which helps in building a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 372,765
- + 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 @sinatraa reveals an exceptionally influential Twitter presence with 372,765 followers. The account demonstrates a conversation-first approach, averaging 1,216.7 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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