Zbigniew Kuźmiuk
18,647
Followers
836
Following
53,095
Tweets
61.8
Avg Engagement
191
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ZbigniewKuzmiuk'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:2011-08-18
- Verification:No
- Location:Poland, Radom
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:4.8
- Avg Retweets per Tweet:57.0
- Followers Analyzed:18,457
Engagement Analysis
Based on 500 tweetsOn average, his tweets receive around 100 likes and 32 retweets, indicating a consistent but not overwhelming level of interaction.
4.8
Avg Likes/Tweet
57.0
Avg Retweets/Tweet
2,409
Total Likes
28,506
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
33
75th Percentile
1,852
Top Tweet
3.32
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
19.8%
Original
13.4%
Replies
66.2%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
48.8%
With Links
38.0%
With #Tags
83.4%
With @Mentions
27.6%
With Emojis
144
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.68
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.6%
Weekday Posts
28.4%
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 331 retweets (66% 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 18,457 followersHis audience likely includes Polish nationalists and religious followers. The content resonates with those who value traditional values and patriotism.
Average
Audience Quality
23.0%
Suspicion Index
30.6%
Low-Quality %
77
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.0%
Empty Bio
21.0%
<10 Tweets
14.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
14.2%
<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.
31,396,767
Total Potential Reach
77
Median Follower Reach
457
75th Percentile Reach
15.4%
>1K followers
2.3%
>10K followers
0.5%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.2%
Creators
11,849 accounts
14.8%
Consumers
2,737 accounts
21.0%
Dormant
3,871 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):
310
Verified Followers
1.68% of total
946
Protected Accounts
5.13% 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 |
|---|---|---|---|
| @AndrzejDuda | 1,815,111 | Politician | Politics, Law, Poland |
| @Europarl_EN | 962,026 | Politics | politics, news, Europe |
| @gazeta_wyborcza | 895,594 | News outlet | news, politics, journalism |
| @tvp_info | 835,117 | News outlet | - |
| @MorawieckiM | 643,855 | Politician | politics, leadership, Poland |
| @BeataSzydlo | 449,583 | Politician | Poland, European Union, Politics |
| @TygodnikWPROST | 429,380 | Magazine | News, Politics, Premium |
| @pisorgpl | 338,175 | Politics | Polish politics, Law and justice, Official profile |
| @PatrykJaki | 304,654 | Politician | security, academia, politics |
| @KGeorgieva | 279,961 | Economist | empower women, improve lives, greener economies |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,774
Followers With Bio
8,683
Followers Without Bio
52.96%
% With Bio
47.04%
% 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 analyzed7,431
Combined Engagement
0
Total Likes
7,431
Total Retweets
1,486
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @CDzwoni: Obserwuję politykę Niemiec wobec Polski z dużą uwagą od ponad 30 lat. Jeszcze nigdy nie było z ich strony tak zmasowanego atak…
RT @pikus_pol: Polecam😍❤️👇👇 Panie dostały pytanie: - Co Panie tutaj robią? Posłuchajcie odpowiedzi😍😍 #MarszPapieski Źródło ➡️➡️ https://t.c…
RT @EmiliaKaminska: Każdy Polak powinien zobaczyć ten krótki film. Naprawdę. Bardzo rzadko o to proszę - ale teraz tak. Zróbcie RT i pokażc…
RT @Sachinettiyil: Leftists in Poland and outside Poland are trying their maximum to defame Pope John Paul II. So the president of Poland…
RT @AndStefaniak: Odkąd rządzi @pisorgpl polskie rezerwy walut i złota NBP (dane za III 2023): * pierwszy raz w HISTORII przekroczyły 170…
Key Insights & Takeaways
His top tweets often reference political and religious figures, suggesting a focus on moral and national issues. He frequently uses religious quotes and references, indicating a strong faith-based influence on his content. His engagement is steady, but not exceptionally high, suggesting a dedicated but not widely interactive audience.
Strengths
- + Established follower base of 18,647
- + 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 @ZbigniewKuzmiuk reveals an growing Twitter presence with 18,647 followers. The account demonstrates a content-creator strategy, averaging 61.8 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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