Ruben van der Meer
Dutch actor/comedian
156,966
Followers
1,711
Following
23,911
Tweets
1,226.4
Avg Engagement
333
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rubenvdmeer'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:2011-01-03
- Verification:No
- Location:The Netherlands
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:2.8
- Avg Retweets per Tweet:1,223.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,188 tweetsHis tweets receive moderate engagement, indicating a loyal but not overly active audience. The average likes and retweets suggest a balance between popularity and niche appeal.
2.8
Avg Likes/Tweet
1,223.6
Avg Retweets/Tweet
9,001
Total Likes
3,900,691
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
25
Median Retweets
182
75th Percentile
418,997
Top Tweet
7.81
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
5.2%
Original
17.4%
Replies
76.1%
Retweets
1.2%
Quotes
0.0%
Threads
0.5%
With Media
33.5%
With Links
20.1%
With #Tags
95.6%
With @Mentions
18.9%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.32
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 2,427 retweets (76% 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 3,188 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 likely includes fans of Dutch comedy and those interested in social and political topics. The mix of humor and serious themes suggests a broad and engaged following.
Below Average
Audience Quality
39.2%
Suspicion Index
63.5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
73.7%
Empty Bio
67.2%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
66.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
53.4%
<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.
25,677,099
Total Potential Reach
4
Median Follower Reach
17
75th Percentile Reach
2.1%
>1K followers
0.4%
>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).
17.7%
Creators
8,865 accounts
15.1%
Consumers
7,528 accounts
67.2%
Dormant
33,607 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):
65
Verified Followers
0.06% of total
5,103
Protected Accounts
5.05% 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 |
|---|---|---|---|
| @GordonRamsay | 7,696,491 | Chef | Cooking, Food, Restaurants |
| @alispagnola | 2,348,034 | Musician | Music, Comedy, Fitness |
| @BlindDaley | 1,371,930 | Footballer | Football, AFC Ajax, Instagram |
| @LeBronJames | 1,009,475 | - | - |
| @HumbertoTan | 907,196 | TV Host | Talkshow, Radio, RTL |
| @MrGeorgeWallace | 888,893 | Comedian | Comedy, Hot Sauce, God |
| @solalexasch | 679,591 | Musician | Music, Travel, Tattoos |
| @TizzyEnt | 496,380 | Director & Editor | TV, Films, Music Videos |
| @claudiadebreij | 469,833 | - | - |
| @wefollowbackd | 456,998 | Football Blogger | Football, News, Sport |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
22,590
Followers With Bio
78,407
Followers Without Bio
22.37%
% With Bio
77.63%
% 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 3,188 analyzed1,051,846
Combined Engagement
0
Total Likes
1,051,846
Total Retweets
210,369
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @RidiculousDak: I found a video of a duck falling asleep and I’m convinced it’s the cutest video ever https://t.co/aCNnkuObpj
RT @StephenKing: Hey, kids! It's your old buddy Steve King telling you that if they ban a book in your school, haul your ass to the nearest…
RT @SamRaimiUpdates: The impact of Sam Raimi’s Spider-Man 3. https://t.co/ncoj5DFPSo
RT @GorillaMamaWho: I can’t fucking breathe 😂😂😂😂😂 https://t.co/se5cWBa8RT
Key Insights & Takeaways
He uses humor to address sensitive topics, which helps in making complex issues more relatable. His content often reflects personal and societal values, showing a strong connection with his audience. He leverages his platform to promote his work and engage in meaningful conversations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 156,966
- + 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 @rubenvdmeer reveals an exceptionally influential Twitter presence with 156,966 followers. The account demonstrates a conversation-first approach, averaging 1,226.4 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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