13,738
Followers
1,011
Following
2,734
Tweets
96.0
Avg Engagement
113
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @j_kopcinska'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:2014-09-11
- Verification:No
- Location:Polska
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:17.8
- Avg Retweets per Tweet:78.1
- Followers Analyzed:13,676
Engagement Analysis
Based on 500 tweetsHer tweets receive a moderate level of engagement, with an average of 237 likes and 52 retweets per post. This suggests a consistent but not overwhelming level of interaction from her followers.
17.8
Avg Likes/Tweet
78.1
Avg Retweets/Tweet
8,920
Total Likes
39,061
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
24
Median Retweets
100
75th Percentile
1,366
Top Tweet
6.99
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
29.4%
Original
0.8%
Replies
67.4%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
41.2%
With Links
56.0%
With #Tags
76.0%
With @Mentions
26.0%
With Emojis
153
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 337 retweets (67% 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 500 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 13,676 followersHer audience primarily consists of Polish citizens interested in politics and law. They are likely to be informed individuals who follow current events and public policy.
Average
Audience Quality
23.2%
Suspicion Index
29.1%
Low-Quality %
94
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.9%
Empty Bio
22.1%
<10 Tweets
16.6%
Mass Following (>2K)
0.0%
New (<90 days)
43.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
15.3%
<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.
31,302,591
Total Potential Reach
94
Median Follower Reach
591
75th Percentile Reach
18.5%
>1K followers
3.1%
>10K followers
0.8%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.2%
Creators
8,645 accounts
14.6%
Consumers
2,003 accounts
22.1%
Dormant
3,028 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):
379
Verified Followers
2.77% of total
782
Protected Accounts
5.72% of total
7 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 |
|---|---|---|---|
| @BoniekZibi | 1,238,283 | Footballer | football, coaching, national team |
| @tvp_info | 835,117 | News outlet | - |
| @PremierRP | 727,745 | Government | politics, government, news |
| @MorawieckiM | 643,855 | Politician | politics, leadership, Poland |
| @MZ_GOV_PL | 612,489 | Government | Healthcare, Ministry, Official |
| @KonradPiasecki | 560,418 | Journalist | Journalism, TV shows, Coffee |
| @DennisKoutoudis | 544,277 | - | - |
| @BeataSzydlo | 449,583 | Politician | Poland, European Union, Politics |
| @bweglarczyk | 443,683 | Editor | journalism, Europe, United States |
| @TygodnikWPROST | 429,380 | Magazine | News, Politics, Premium |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,807
Followers With Bio
5,869
Followers Without Bio
57.09%
% With Bio
42.91%
% 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 500 analyzed5,565
Combined Engagement
0
Total Likes
5,565
Total Retweets
1,113
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @AndrzejDuda: Przed nami ostatnie 48 godz. kampanii. Bedę rozmawiał z Polakami, tak jak przez całe 5 lat. Dziękuję za wszystkie spotkani…
RT @MorawieckiM: Nasza siatkarska kadra utknęła na lotnisku w Amsterdamie. Wysyłamy po nią nasz rządowy samolot, żeby spokojnie mogła dotrz…
RT @AndrzejDuda: Dziękuję tym, którzy wzięli udział w wyborach. Dziękuję za każdy oddany na mnie głos. Rafałowi Trzaskowskiemu dziękuję za…
RT @AndrzejDuda: Dziękuję Wszystkim za udział w wyborach! Dziękuję za każdy oddany na mnie głos! Dziękuję Kontrkandydatom za wyborczą rywal…
RT @MorawieckiM: Oczekiwali tego rodzice, nauczyciele i uczniowie. Dlatego podjęliśmy decyzję, że zakończenie roku szkolnego odbędzie się p…
Key Insights & Takeaways
She frequently shares updates on her political career and achievements, which helps to reinforce her public image. Her tweets often include links to official sources, indicating a focus on transparency and credibility. She uses her platform to comment on legal reforms, showing her active involvement in political discourse.
Strengths
- + Established follower base of 13,738
- + 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 @j_kopcinska reveals an growing Twitter presence with 13,738 followers. The account demonstrates a content-creator strategy, averaging 96.0 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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