Witold Bańka
WADA President @wada_ama / Minister of Sport and Tourism 2015-2019 🇵🇱 /@EYL40 / 400m,4x400m
19,817
Followers
904
Following
4,010
Tweets
95.3
Avg Engagement
100
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WitoldBanka'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:2015-05-21
- Verification:Yes
- Location:Polska / Poland
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:27.6
- Avg Retweets per Tweet:67.7
- Followers Analyzed:19,870
Engagement Analysis
Based on 500 tweetsHis tweets receive an average of 719 likes and 160 retweets, suggesting a moderate level of engagement. Verified accounts make up 2.3% of his followers, indicating a mix of public and private engagement.
27.6
Avg Likes/Tweet
67.7
Avg Retweets/Tweet
13,786
Total Likes
33,851
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
4
Median Retweets
25
75th Percentile
11,154
Top Tweet
4.81
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
49.4%
Original
1.6%
Replies
46.2%
Retweets
2.8%
Quotes
0.0%
Threads
0.2%
With Media
71.6%
With Links
42.8%
With #Tags
81.8%
With @Mentions
28.8%
With Emojis
190
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.0%
Weekday Posts
18.0%
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 231 retweets (46% 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 19,870 followersHis followers likely include sports officials, athletes, and Polish nationals interested in national celebrations. The audience also shows interest in sports governance and legal matters.
Average
Audience Quality
23.5%
Suspicion Index
31.2%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.8%
Empty Bio
22.9%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
47.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
16.6%
<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.
48,130,630
Total Potential Reach
63
Median Follower Reach
400
75th Percentile Reach
15.0%
>1K followers
2.9%
>10K followers
0.8%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.5%
Creators
12,219 accounts
15.6%
Consumers
3,101 accounts
22.9%
Dormant
4,550 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):
456
Verified Followers
2.29% of total
974
Protected Accounts
4.9% of total
8 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 | 1,815,107 | Politician | Politics, Law, Poland |
| @SinghLions | 1,335,646 | Restaurateur | Food, Travel, Influencer |
| @tvp_info | 835,113 | News outlet | - |
| @BorekMati | 818,991 | Sports Commentator | sports, boxing, promotions |
| @K_Stanowski | 792,557 | Writer | Weszlo, WeszloFM, WeszloTravel |
| @PremierRP | 727,751 | Government | politics, government, news |
| @luxurytravel | 719,985 | Travel Blogger | luxury travel, editor, blog |
| @Polsport | 650,170 | Sports Journalist | sports, ambassador, press officer |
| @MorawieckiM | 643,859 | Politician | politics, leadership, Poland |
| @prezydentpl | 635,075 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,763
Followers With Bio
9,107
Followers Without Bio
54.17%
% With Bio
45.83%
% 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 analyzed23,260
Combined Engagement
1,694
Total Likes
21,566
Total Retweets
4,652
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @ESPNFC: Andrea Bocelli singing Nessun Dorma 🎤 The perfect way to start Euro 2020 🙌 https://t.co/L0l9Wy1AhL
RT @iga_swiatek: OMG🤩🗽 @usopen https://t.co/3JuX2rRNVO
Z przykrością muszę poinformować, iż p. @TomaszSiemoniak złamał warunki zatwierdzonej przez sąd ugody, szczególnie drugim wpisem. Rozważam sądową egzekucję warunków ugody. https://t.co/PT0B1ihvK9
RT @rolandgarros: All the feels 🥹🇵🇱 #RolandGarros | @iga_swiatek https://t.co/OrcGaTeouO
RT @FIFAWorldCup: Goal difference 🇵🇱 https://t.co/RBwCpHd3TB
Key Insights & Takeaways
He frequently shares updates on sports-related legal cases and WADA activities, showing his professional focus. His tweets often include nationalistic themes and celebrations, reflecting his role as a public figure in Poland. He uses hashtags to promote national events and sports, which helps in increasing visibility and engagement.
Strengths
- + Established follower base of 19,817
- + 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 @WitoldBanka reveals an growing Twitter presence with 19,817 followers. The account demonstrates a content-creator strategy, averaging 95.3 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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