ZdzisławKrasnodębski
34,727
Followers
1,033
Following
37,239
Tweets
130.3
Avg Engagement
284
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ZdzKrasnodebski'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:2012-03-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:11.2
- Avg Retweets per Tweet:119.1
- Followers Analyzed:34,294
Engagement Analysis
Based on 500 tweetsThe account has a steady level of engagement, with an average of 169 likes and 53 retweets per tweet. The engagement rate suggests a moderate level of interest from the followers.
11.2
Avg Likes/Tweet
119.1
Avg Retweets/Tweet
5,590
Total Likes
59,552
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
32
75th Percentile
5,077
Top Tweet
3.75
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
35.0%
Original
8.6%
Replies
42.8%
Retweets
13.6%
Quotes
0.0%
Threads
0.0%
With Media
58.2%
With Links
10.0%
With #Tags
55.2%
With @Mentions
8.4%
With Emojis
126
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.4%
Weekday Posts
32.6%
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 214 retweets (43% 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 34,294 followersThe audience appears to be interested in European politics and Polish domestic affairs. They are likely politically engaged individuals and possibly members of the public interested in political discourse.
Average
Audience Quality
23.7%
Suspicion Index
33.6%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.0%
Empty Bio
23.7%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
46.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
16.3%
<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.
48,109,297
Total Potential Reach
50
Median Follower Reach
314
75th Percentile Reach
11.9%
>1K followers
1.7%
>10K followers
0.4%
>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).
60.5%
Creators
20,738 accounts
15.8%
Consumers
5,419 accounts
23.7%
Dormant
8,137 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):
485
Verified Followers
1.41% of total
1,743
Protected Accounts
5.08% 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 |
|---|---|---|---|
| @Statusbrew | 2,119,782 | Social Media Manager | social media, publishing, engagement |
| @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 | 643,854 | Politician | politics, leadership, Poland |
| @DennisKoutoudis | 544,277 | - | - |
| @MarionMarechal | 533,763 | Politician | politics, education, leadership |
| @sekielski | 453,826 | Journalist | journalism, documentaries, writing |
| @BeataSzydlo | 449,583 | Politician | Poland, European Union, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,818
Followers With Bio
17,476
Followers Without Bio
49.04%
% With Bio
50.96%
% 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 analyzed23,116
Combined Engagement
0
Total Likes
23,116
Total Retweets
4,623
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Carene1984: Macron en roue libre « L'élection en RDC s'est réglée par un «compromis à l'Africaine», visiblement agacé par ces propos dé…
RT @fuecks: Wenn die Rechte und die Würde von Frauen zu einem Leitmotiv unserer Außenpolitik werden sollen - wann und wo, wenn nicht gegenü…
RT @Culture_Crit: Imagine how morally depraved a society must be to demolish something like this. https://t.co/i3lBnBkr96
RT @Culture_Crit: All I'm saying is if you wanted to demoralize a population, this is exactly what you would do. https://t.co/PNPYF9TGUs
RT @Culture_Crit: 1930s London doesn't even seem real. https://t.co/ENVQvrtB0R
Key Insights & Takeaways
The account frequently discusses European politics and Poland's position within the EU. It often criticizes opposing political parties and highlights political tensions. The content is likely aimed at a politically aware audience interested in current events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 34,727
- + 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 @ZdzKrasnodebski reveals an well-established Twitter presence with 34,727 followers. The account demonstrates a content-creator strategy, averaging 130.3 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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