Dominik Tarczyński MEP
Member of the European Parliament. Poland 🇵🇱
109,514
Followers
6,530
Following
64,154
Tweets
411.0
Avg Engagement
303
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @D_Tarczynski'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:2011-08-02
- Verification:Yes
- Location:Polska
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:190.9
- Avg Retweets per Tweet:220.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsThe average engagement per tweet is moderate, with a focus on likes and retweets. The content often sparks discussion and shares across the political spectrum.
190.9
Avg Likes/Tweet
220.1
Avg Retweets/Tweet
114,352
Total Likes
131,832
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
125
Median Retweets
479
75th Percentile
9,240
Top Tweet
3.75
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
25.7%
Original
10.5%
Replies
61.8%
Retweets
2.0%
Quotes
0.0%
Threads
0.0%
With Media
51.1%
With Links
21.0%
With #Tags
73.3%
With @Mentions
31.4%
With Emojis
99
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.3%
Weekday Posts
23.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 370 retweets (62% 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 599 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 followersThe audience primarily consists of Polish and European political followers interested in EU affairs. They are likely engaged with current events and political debates.
Average
Audience Quality
29.1%
Suspicion Index
41.0%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.3%
Empty Bio
36.5%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
59.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
26.8%
<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.
41,742,622
Total Potential Reach
11
Median Follower Reach
83
75th Percentile Reach
5.2%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
44.8%
Creators
22,387 accounts
18.7%
Consumers
9,368 accounts
36.5%
Dormant
18,245 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):
1,058
Verified Followers
1.05% of total
6,548
Protected Accounts
6.48% of total
6 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 |
|---|---|---|---|
| @DineshDSouza | 3,192,128 | Author/Filmmaker | author, filmmaker, podcasting |
| @LouDobbs | 2,389,245 | Journalist | News, Politics, Business |
| @JackPosobiec | 2,092,580 | Journalist | China, Navy, Editor |
| @michellemalkin | 2,039,294 | Commentator | Conservative, Author, Commentator |
| @AndrzejDuda | 1,815,111 | Politician | Politics, Law, Poland |
| @catturd2 | 1,655,934 | Satirist | Politics, Podcasting, Writing |
| @SaraCarterDC | 1,503,379 | Journalist | Investigative journalism, National security, Conservative politics |
| @KapilMishra_IND | 1,396,173 | Politician | BJP, Hindu, Unity |
| @ScottPresler | 1,362,935 | Activist | Politics, Activism, Community Service |
| @RexChapman | 1,255,093 | Commentator | Basketball, Horse racing, Commentary |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,256
Followers With Bio
51,741
Followers Without Bio
48.77%
% With Bio
51.23%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 599 analyzed29,744
Combined Engagement
11,251
Total Likes
18,493
Total Retweets
5,949
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @BernieSpofforth: FRANCE - Macron has banned the right to protest in Paris. The students have arrived to support the people. Because in…
RT @AnitaSchelde: To jest Pani Jolanta Lange 😃...która "walczy o prawa mniejszości seksualnych". Czekaj ! Przecież to Jolanta Gontarczyk TW…
Tusk od miesiąca „chory”, Trzaskowski robi kotlety z robaków, a my robimy swoje. Dla Polski 🇵🇱 https://t.co/iZ0CC9AnGA
Belgijska policja weszła właśnie do biur EPP! Zajęto komputery, telefony i dokumenty! Śledztwo w sprawie korupcji w PE jest prowadzone na 15 lat wstecz czyli także w okresie gdy Tusk był szefem EPP. Niebawem więcej… #QatarGate https://t.co/z93cpQ1dmn https://t.co/h3q4oso3wj
Prezydent USA publikuje film bez Tuska i bez Trzaskowskiego robiącego kotlety z robaków. Dziękuję za uwagę. https://t.co/SISteYtiKU
Key Insights & Takeaways
The tweets often use humor and satire to comment on political figures and events. They frequently reference ongoing investigations and political scandals within the EU. D_Tarczynski's content is highly nationalistic, emphasizing Polish interests and perspectives.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109,514
- + 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 @D_Tarczynski reveals an well-established Twitter presence with 109,514 followers. The account demonstrates a content-creator strategy, averaging 411.0 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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