Pieter Zwart
Hoofdredactie Voetbal International | Hup VI PRO | Mede-oprichter Catenaccio | Schrijver 'De val van Oranje'
39,019
Followers
747
Following
30,185
Tweets
25.9
Avg Engagement
324
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PieterZwartNL'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:2010-06-06
- Verification:No
- Location:Utrecht, Nederland
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:24.4
- Avg Retweets per Tweet:1.5
- Followers Analyzed:36,120
Engagement Analysis
Based on 500 tweetsHis tweets typically receive around 300 likes and 16 retweets on average, indicating a moderate level of engagement. His content is well-received and often shared within the football community.
24.4
Avg Likes/Tweet
1.5
Avg Retweets/Tweet
12,189
Total Likes
745
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
27
75th Percentile
693
Top Tweet
0.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
30.0%
Original
51.6%
Replies
9.0%
Retweets
9.4%
Quotes
0.0%
Threads
0.0%
With Media
53.4%
With Links
23.6%
With #Tags
39.8%
With @Mentions
5.8%
With Emojis
115
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.72
Reply/Original Ratio
1.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.6%
Weekday Posts
29.4%
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 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 45 retweets (9% 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 36,120 followersHis audience primarily consists of football fans and enthusiasts, particularly interested in Dutch and European football. They appreciate his in-depth analysis and storytelling.
Average
Audience Quality
20.7%
Suspicion Index
32.0%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.0%
Empty Bio
24.3%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
39.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
17.1%
<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.
47,689,671
Total Potential Reach
57
Median Follower Reach
193
75th Percentile Reach
6.4%
>1K followers
1.0%
>10K followers
0.3%
>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).
58.5%
Creators
21,116 accounts
17.3%
Consumers
6,235 accounts
24.3%
Dormant
8,769 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):
252
Verified Followers
0.7% of total
4,525
Protected Accounts
12.53% of total
9 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 |
|---|---|---|---|
| @ManCity | 15,698,580 | Football Club | Football, Champions, Manchester |
| @LILBTHEBASEDGOD | 1,250,145 | Rapper | Music, Writing, Film |
| @adage | 992,393 | Advertising | advertising, marketing, innovation |
| @StartupPro | 982,032 | Entrepreneurship | Entrepreneurship, Technology, Investing |
| @HumbertoTan | 907,851 | TV Host | Talkshow, Radio, RTL |
| @ESPNnl | 662,804 | Sports Media | Sport, Fans, App |
| @CryptoMichNL | 652,927 | Trader | Macro-Economics, Value Investing, Trading |
| @TayeDiggs | 648,409 | Actor | acting, chocolate, hosting |
| @IamMzilikazi | 540,101 | Musician | Pan-African music, Album, Rise |
| @honigstein | 529,345 | Sports Journalist | Football, Journalism, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
19,146
Followers With Bio
16,974
Followers Without Bio
53.01%
% With Bio
46.99%
% 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 500 analyzed2,137
Combined Engagement
2,047
Total Likes
90
Total Retweets
427
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
Steven Berghuis zal wel de schuld krijgen bij Ajax van die tegengoal, maar wat Kenneth Taylor daar doet, is fascinerend. Loopt eerst de passlijn voor Berghuis dicht door twee man mee te trekken. Verzuimt daarna een overtreding te maken en laat Igor Paixão uithalen #feyaja
Kenneth Taylor wordt door Antoine Griezmann welkom geheten in het voetbal van de grote mannen #FRANED
Ajax krijgt het hele seizoen de ene na de andere treffer tegen met mandekking bij corners: krekels. Feyenoord incasseert een keer een tegengoal, maar heeft nog altijd de beste cijfers van topclubs: "waarom doe je geen mandekking?" #ajafey
Voor de tactische blik is dit een prima camerastandpunt. Voor de rest van Nederland minder ideaal #feyaja
Nathan Aké is hard op weg om de linksback van Oranje te worden. Maakte al indruk tegen Mo Salah. Nu sterk tegenover Bukayo Saka
Key Insights & Takeaways
He often highlights tactical aspects and player performances, especially in high-profile matches. He uses storytelling to make his analysis more relatable and engaging. He frequently references specific players and clubs, which helps build a sense of familiarity with his audience.
Strengths
- + Established follower base of 39,019
- + 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 @PieterZwartNL reveals an growing Twitter presence with 39,019 followers. The account demonstrates a conversation-first approach, averaging 25.9 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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