Ron Vlaar
Plays for AZ Alkmaar | Sons Shane, Xavi and Levi | Aston Villa | Feyenoord4Life
165,553
Followers
915
Following
582
Tweets
106.1
Avg Engagement
615
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RonVlaar4'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:2011-09-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:567
- Avg Likes per Tweet:39.4
- Avg Retweets per Tweet:66.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 567 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and emotional expressions further boosts engagement.
39.4
Avg Likes/Tweet
66.7
Avg Retweets/Tweet
22,316
Total Likes
37,816
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
8
Median Retweets
79
75th Percentile
4,338
Top Tweet
0.64
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
59.3%
Original
16.2%
Replies
24.5%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
35.6%
With Links
57.8%
With #Tags
55.9%
With @Mentions
6.7%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 567 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 (25% 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 567 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 followersThe audience primarily consists of football fans, especially those supporting Aston Villa and Feyenoord. They are emotionally invested and appreciate his personal and team-related updates.
Below Average
Audience Quality
36.7%
Suspicion Index
56.0%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.4%
Empty Bio
57.0%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
42.7%
<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.
39,116,689
Total Potential Reach
9
Median Follower Reach
50
75th Percentile Reach
1.8%
>1K followers
0.3%
>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).
23.6%
Creators
11,787 accounts
19.5%
Consumers
9,730 accounts
57.0%
Dormant
28,483 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):
64
Verified Followers
0.06% of total
7,571
Protected Accounts
7.5% 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 |
|---|---|---|---|
| @FIFAWorldCup | 12,485,710 | Sports Organization | Soccer, International, Tournament |
| @tiesto | 4,695,680 | DJ | Music, DJing, Business |
| @EURO2024 | 3,625,290 | - | - |
| @benlandis | 2,847,097 | - | - |
| @alispagnola | 2,348,110 | Musician | Music, Comedy, Fitness |
| @BeatsByAssassin | 2,261,420 | Multitalented | Actor, Director, Rapper |
| @KameronBennett | 1,823,133 | DJ | Music, DJing, Booking |
| @SiriouslySusan | 1,774,027 | Voice Actor | Voice acting, singing, speaking |
| @Kuyt | 1,737,102 | Footballer | Football, Sports, Netherlands |
| @RvN1776 | 1,568,465 | Head Coach | Football, Coaching, PSV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,353
Followers With Bio
68,645
Followers Without Bio
32.03%
% With Bio
67.97%
% 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 567 analyzed12,174
Combined Engagement
7,249
Total Likes
4,925
Total Retweets
2,435
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
Thank you all so much for all the messages! Overwhelming and heartwarming. Great te realize so many people have such good memories thinking of me ❤️. @AZAlkmaar @Feyenoord @AVFCOfficial @OnsOranje https://t.co/H9ATfjI1FW
Kroon op het seizoen! @superguidetti gaf ons FLAIR, Koeman gaf ons VERTROUWEN, Legioen gaf ons ONVOORWAARDELIJKE STEUN, en wij gaven STRIJD!
What a fantastic result!! Lads deserved the win, worked incredibly hard, defended really well, great TEAM performance... Wow!! #LIVAST #UTV
We are staying up! I can't tell you how happy I am, and I'm probably not the only one :D! Thanks for all the support! #UTV #avfc #happydays
Proud to have played my 25th cap, one to remember! Good start, enjoy the moment, and focus on the next game. #SpaNed #WorldCup #Brazil
Key Insights & Takeaways
He emphasizes team success and fan support, which are key to his content. His personal life, including family details, adds a relatable aspect to his profile. He frequently uses hashtags to connect with specific fan groups and promote his clubs.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 165,553
- + 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 @RonVlaar4 reveals an well-established Twitter presence with 165,553 followers. The account demonstrates a content-creator strategy, averaging 106.1 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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