Bogdan Klich
Senator RP
16,209
Followers
1,432
Following
20,467
Tweets
186.2
Avg Engagement
106
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BogdanKlich'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:2013-01-02
- Verification:No
- Location:Kraków, Polska
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:50.4
- Avg Retweets per Tweet:135.8
- Followers Analyzed:15,623
Engagement Analysis
Based on 598 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement points to a loyal and active follower base.
50.4
Avg Likes/Tweet
135.8
Avg Retweets/Tweet
30,131
Total Likes
81,192
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
17
Median Retweets
132
75th Percentile
17,990
Top Tweet
11.48
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
38.3%
Original
11.4%
Replies
42.0%
Retweets
8.4%
Quotes
0.0%
Threads
0.0%
With Media
49.3%
With Links
50.7%
With #Tags
68.7%
With @Mentions
20.9%
With Emojis
168
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.3%
Weekday Posts
18.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 251 retweets (42% 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 598 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 15,623 followersHis audience likely includes Polish political supporters and those interested in domestic and international affairs. The engagement suggests a mix of political activists and informed citizens.
Average
Audience Quality
23.5%
Suspicion Index
29.6%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
21.8%
<10 Tweets
16.0%
Mass Following (>2K)
0.0%
New (<90 days)
45.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
15.0%
<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.
31,017,910
Total Potential Reach
68
Median Follower Reach
512
75th Percentile Reach
17.1%
>1K followers
2.4%
>10K followers
0.7%
>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).
62.9%
Creators
9,829 accounts
15.3%
Consumers
2,392 accounts
21.8%
Dormant
3,402 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):
321
Verified Followers
2.05% of total
788
Protected Accounts
5.04% 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 |
|---|---|---|---|
| @lis_tomasz | 1,085,980 | Journalist | Politics, Journalism, Optimism |
| @tvp_info | 835,117 | News outlet | - |
| @trzaskowski_ | 778,038 | Politician | Politics, Warsaw, Leadership |
| @TayeDiggs | 648,410 | Actor | acting, chocolate, hosting |
| @MZ_GOV_PL | 612,489 | Government | Healthcare, Ministry, Official |
| @KonradPiasecki | 560,418 | Journalist | Journalism, TV shows, Coffee |
| @anneapplebaum | 555,852 | Writer | History, Politics, Author |
| @alexstubb | 469,685 | Academic | Books, Sports, Ironman |
| @GiertychRoman | 461,373 | Lawyer | Law, Politics, Education |
| @bweglarczyk | 443,683 | Editor | journalism, Europe, United States |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,706
Followers With Bio
6,917
Followers Without Bio
55.73%
% With Bio
44.27%
% 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 598 analyzed31,443
Combined Engagement
0
Total Likes
31,443
Total Retweets
6,289
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @ZelenskyyUa: On February 24, millions of us made a choice. Not a white flag, but the blue and yellow one. Not fleeing, but facing. Resi…
RT @POTUS: The people of Poland offered Ukrainian refugees safety and light in that darkest moment of their lives. It was an honor to s…
RT @donaldtusk: Morawiecki 36 razy wymienił moje nazwisko i nazwę Platformy w trakcie swojego wystąpienia w Jaśle. Mateusz, ty masz promowa…
RT @donaldtusk: Rozliczymy PiS z każdego łajdactwa, ze wszystkich ludzkich krzywd i tragedii, do jakich doprowadzili, sprawując władzę. Prz…
RT @POTUS: Over the past year, the United States has come together with our Allies and partners in an extraordinary coalition to preserve f…
Key Insights & Takeaways
Focuses on Polish-Russia relations and government accountability Critiques the influence of political families in state institutions Highlights corruption and misuse of public resources
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 16,209
- + 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 @BogdanKlich reveals an well-established Twitter presence with 16,209 followers. The account demonstrates a content-creator strategy, averaging 186.2 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.
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