Krzysztof Brejza

Krzysztof Brejza

@KrzysztofBrejza

Służby PiS nazwały mnie Grzechotnikiem (niebezpieczny dla PiS). W 2019 najlepszy wynik z ostatniego miejsca listy w wyborach od 89. Zaufanie ludzi-rzecz święta

Warszawa,Bydgoszcz,Inowrocław https://www.facebook.com/login/?next=https%3A%2F%2Fwww.facebook.com%2Fkbrejza Joined 2009-11-05 Date of Analysis: 12月 16, 2025

164,177

Followers

1,403

Following

46,947

Tweets

240.2

Avg Engagement

333

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @KrzysztofBrejza'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:2009-11-05
  • Verification:Yes
  • Location:Warszawa,Bydgoszcz,Inowrocław

Data Summary

  • Tweets Analyzed:596
  • Avg Likes per Tweet:101.5
  • Avg Retweets per Tweet:138.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 596 tweets

Średnie poziomy polubień i retweetów są wysokie, co wskazuje na aktywną i zaangażowaną grupę fanów. Jego tweety często wzbudzają emocje i dyskusje.

101.5

Avg Likes/Tweet

138.7

Avg Retweets/Tweet

60,472

Total Likes

82,672

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

60

Median Retweets

222

75th Percentile

3,177

Top Tweet

1.46

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

13.3%

Original

14.3%

Replies

69.3%

Retweets

3.2%

Quotes

0.0%

Threads

0.0%

With Media

45.1%

With Links

29.7%

With #Tags

73.7%

With @Mentions

29.4%

With Emojis

130

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.08

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

79.2%

Weekday Posts

20.8%

Weekend Posts

Top Hashtags

#tujestprzyszłość (72) #biurointerwencji (14) #pegasusinterwencjiniepowstrzyma (13) #drożyznapis (9) #koalicjaobywatelska (9) #tusk (6) #toruń (5) #grzechotnik (5) #częstochowa (5) #bydgoszcz (4)

Most Mentioned

@donaldtusk (134) @platforma_org (102) @krzysztofbrejza (24) @obserwatorxy (18) @dorota_brejza (13) @po_slask (11) @gasiuk_pihowicz (10) @swietokrzyskipo (10) @gajewska_kinga (8) @bbudka (7)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 596 tweets

Content Type Distribution

Content Breakdown

Original Tweets 79 (13%)
Replies 85 (14%)
Retweets 413 (69%)
Quote Tweets 19 (3%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 413 retweets (69% 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 596 tweets

Engagement 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 followers

Jego odbiorca obejmuje głównie polskie społeczeństwo zainteresowane polityką i wyborami. Często zwraca uwagę na kwestie związane z opozycją i rządem.

Below Average

Audience Quality

41.7%

Suspicion Index

63.5%

Low-Quality %

1

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

71.7%

Empty Bio

66.3%

<10 Tweets

2.9%

Mass Following (>2K)

0.0%

New (<90 days)

82.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

97.4%

No URL

55.2%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

7,138,933

Total Potential Reach

1

Median Follower Reach

7

75th Percentile Reach

1.3%

>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).

18.3%

Creators

9,152 accounts

15.4%

Consumers

7,701 accounts

66.3%

Dormant

33,147 accounts

78

Verified Followers

0.16% of total

0.9%

Professional Bios

founder, dev, analyst, etc.

0.02

Median Follow Ratio

follower/following

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):

Warsaw, Poland (466) Polska (438) Warszawa, Polska (408) Poland (407) Warszawa (156) Wroclaw, Poland (135) Poznan, Poland (124) Krakow, Poland (115) Szczecin, Poland (79) Kraków, Polska (74)

180

Verified Followers

0.18% of total

4,129

Protected Accounts

4.13% of total

3 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
@sm551 621,932 Writer Philosophy, Satire, Anger
@OccupyDemocrats 537,062 Political Activist Progressive, Grassroots, Politics
@GiertychRoman 461,372 Lawyer Law, Politics, Education
@LBalcerowicz 411,739 Economist Ekonomia, Polityka, Sport
@PieterOmtzigt 361,789 Politician Politics, Independence, Europe
@SlawomirMentzen 322,803 Politician politics, activism, change
@mcspocky 288,138 Political Commentator Feminist, BlueWave2022, BLM
@elbegdorj 265,509 Politician Politics, Diplomacy, Leadership
@GoogleExpertUK 260,895 SEO Expert SEO, Cruise, Art
@PAPinformacje 232,824 News Agency Informacje, Polska, Agencja

Top Keywords in Follower Bios

nie (3,088) w (2,777) jestem (1,342) jest (1,017) lubie (822) co (703) pis (659) tylko (540) jak (538) dla (485)

Top Hashtags in Follower Bios

#silnirazem (223) #standwithukraine (61) #nafo (30) #ateizm (25) #wolnesa (23) #trzaskowski2020 (21) #pisoff (20) #polityka (20) #strajkkobiet (20) #wolnos (19)

33,290

Followers With Bio

66,710

Followers Without Bio

33.29%

% With Bio

66.71%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 596 analyzed

13,047

Combined Engagement

4,488

Total Likes

8,559

Total Retweets

2,609

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

40%

With Links

Topical Analysis:

Polityka Krytyka Rządu Prawo Opozycja Humor Media Wydarzenia Aktualne

Key Insights & Takeaways

Jego tweety często zawierają krytykę wobec rządu i partii PiS Zwraca uwagę na kwestie związane z prawem i polityką Używa humorystycznych i ironicznych komentarzy do podkreślenia swoich punktów widzenia

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 164,177
  • + High community engagement through conversations
  • + 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 @KrzysztofBrejza reveals an well-established Twitter presence with 164,177 followers. The account demonstrates a conversation-first approach, averaging 240.2 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: 12月 16, 2025