syla 💛
singer, songwriter & youtuber 📩 sylwialipka@mymusic.pl
56,438
Followers
588
Following
24,703
Tweets
653.4
Avg Engagement
75
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SylwiaLipka'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:2010-12-14
- Verification:No
- Location:Poland 🇵🇱
Data Summary
- Tweets Analyzed:3,154
- Avg Likes per Tweet:374.4
- Avg Retweets per Tweet:279.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,154 tweetsHer tweets typically receive a high number of likes and some retweets, indicating a responsive and engaged community.
374.4
Avg Likes/Tweet
279.0
Avg Retweets/Tweet
1,180,872
Total Likes
880,054
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
376
Median Likes
3
Median Retweets
519
75th Percentile
203,319
Top Tweet
11.58
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
58.7%
Original
7.3%
Replies
13.3%
Retweets
20.6%
Quotes
0.0%
Threads
0.0%
With Media
65.0%
With Links
5.8%
With #Tags
19.1%
With @Mentions
37.1%
With Emojis
73
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
1.55
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,154 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 421 retweets (13% 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 3,154 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 creative content, personal stories, and thought-provoking discussions.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.2%
No URL
100.0%
<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.
1,891,177
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.6%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
482
Protected Accounts
4.82% 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 |
|---|---|---|---|
| @SinghLions | 1,326,588 | Restaurateur | Food, Travel, Influencer |
| @jowitazugaj | 121,317 | Influencer | Fashion, Beauty, Lifestyle |
| @AlexT | 97,473 | DJ | Music, Radio, Uber |
| @xDiables | 45,059 | - | - |
| @TopInflu | 26,025 | - | - |
| @EmpikGo | 6,065 | - | - |
| @Officielsteams1 | 5,815 | - | - |
| @KARDASHIGH | 5,797 | - | - |
| @nosiematuwika_ | 5,155 | - | - |
| @PanstwoMinimum | 4,407 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,234
Followers With Bio
5,766
Followers Without Bio
42.34%
% With Bio
57.66%
% 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 3,154 analyzed485,296
Combined Engagement
0
Total Likes
485,296
Total Retweets
97,059
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @Harry_Styles: If I could vote in America, I’d vote with kindness. https://t.co/GQ8tw3Rqpl
RT @dinoman_j: https://t.co/mQl5cBtmjV
RT @jordanhexem: The location Vs The shot https://t.co/9ul2P8WBas
RT @sarahschauer: whoever put this outfit together should be in handcuffs https://t.co/YQi2dcumWd
RT @ShawnMendes: https://t.co/CmmGeF8hCy https://t.co/FN5lm8Z7cW
Key Insights & Takeaways
Her content often touches on complex and controversial topics, suggesting a willingness to engage with challenging ideas. She frequently references media and films, indicating a strong interest in storytelling and creative expression. Her tone can be emotional and reflective, showing a deep personal connection to her subjects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,438
- + 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 @SylwiaLipka reveals an well-established Twitter presence with 56,438 followers. The account demonstrates a content-creator strategy, averaging 653.4 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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