Patrick van Aanholt
Professional Footballer @galatasaraySK 💛❤️
184,963
Followers
125
Following
1,370
Tweets
1,905.2
Avg Engagement
189
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pvanaanholt'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:2016-01-25
- Verification:No
- Location:Istanbul, Turkey
Data Summary
- Tweets Analyzed:1,363
- Avg Likes per Tweet:1,717.0
- Avg Retweets per Tweet:188.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,363 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest.
1,717.0
Avg Likes/Tweet
188.2
Avg Retweets/Tweet
2,340,290
Total Likes
256,482
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
148
Median Likes
9
Median Retweets
705
75th Percentile
145,487
Top Tweet
10.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
43.4%
Original
28.1%
Replies
10.2%
Retweets
18.3%
Quotes
0.0%
Threads
0.6%
With Media
54.7%
With Links
13.5%
With #Tags
43.4%
With @Mentions
67.4%
With Emojis
81
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
1.79
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,363 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 139 retweets (10% 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 1,363 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 followersHis audience primarily consists of football fans and followers interested in sports and entertainment.
Average
Audience Quality
20.3%
Suspicion Index
27.7%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.9%
Empty Bio
17.1%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
42.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
11.4%
<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.
63,697,296
Total Potential Reach
63
Median Follower Reach
221
75th Percentile Reach
6.4%
>1K followers
0.5%
>10K followers
0.1%
>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).
66.8%
Creators
33,397 accounts
16.1%
Consumers
8,074 accounts
17.1%
Dormant
8,529 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):
160
Verified Followers
0.16% of total
11,021
Protected Accounts
10.91% 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 |
|---|---|---|---|
| @JohnCena | 14,100,324 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GalatasaraySK | 12,894,472 | Sports Club | Football, Sports, Club |
| @IanWright0 | 2,282,031 | Footballer | Football, Podcasting, Writing |
| @chris_kammy | 1,899,033 | Football pundit | Football, TV, Singing |
| @David_Ornstein | 1,886,973 | Football Correspondent | - |
| @fanatikcomtr | 1,594,515 | News Outlet | Sports, News, Turkey |
| @tribundergi | 1,295,898 | Sports Magazine | Football, Culture, Istanbul |
| @demarkesports | 1,270,133 | Sports Marketing | Basketball, Racing, Gaming |
| @RealMattLucas | 1,258,565 | Actor | Comedy, Acting, Television |
| @GaryJCahill | 1,258,052 | Footballer | Football, Crystal Palace, Nike |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,739
Followers With Bio
47,260
Followers Without Bio
53.21%
% With Bio
46.79%
% 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 1,363 analyzed504,715
Combined Engagement
438,954
Total Likes
65,761
Total Retweets
100,943
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Anyone who can’t be happy for Liverpool right now are not fans of football. Tonight was a write off and against all odds they just showed the world what the Premier League is about
He's done more for this country in 24hours than you have your entire life 🤣 bow before a king 🙇🏼♀️ https://t.co/T9uMUVrVK0
La la la la la la laaaaa ohhhhhhh CIM BOM BOM 💛❤️
Dear @KTHopkins My name is Patrick van Aanholt, I am Dutch Black, I'm also Christian (not that colour or Religion has anything to do with it) As for your ring you are welcome to come to Selhurst and kiss my big toe 👍🏽 ...I'll wait https://t.co/azEyxb2NR5
Good morning 👋🏽 ...I'm not some expert on COVID but I have common sense, can someone tell me the difference between this and fans at a stadium 😒 https://t.co/0g6U9N9Yfr
Key Insights & Takeaways
He uses humor and relatable content to connect with his audience. His posts often reflect his passion for football and his pride in representing his team. He leverages trending topics and emotional moments to boost engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 184,963
- + 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 @pvanaanholt reveals an exceptionally influential Twitter presence with 184,963 followers. The account demonstrates a content-creator strategy, averaging 1,905.2 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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