Michaël van de Poppe
CEO & Founder MN Trading, @MNTrading_ || Macro-Economics, Value Based Investing & Trading || Crypto & Bitcoin Enthusiast || Portfolio Maximalist
666,800
Followers
1,085
Following
73,473
Tweets
463.9
Avg Engagement
6,435
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CryptoMichNL'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:2010-05-20
- Verification:Yes
- Location:Amsterdam, The Netherlands
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:346.4
- Avg Retweets per Tweet:117.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often shared and discussed within the crypto community.
346.4
Avg Likes/Tweet
117.4
Avg Retweets/Tweet
173,209
Total Likes
58,717
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
275
Median Likes
21
Median Retweets
558
75th Percentile
28,087
Top Tweet
0.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79.0%
Original
15.4%
Replies
5.2%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
40.4%
With Links
48.4%
With #Tags
19.4%
With @Mentions
4.0%
With Emojis
167
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
75.8%
Weekday Posts
24.2%
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 26 retweets (5% 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 50,000 followersHis audience is primarily interested in cryptocurrency, trading, and investment strategies. They are likely active traders and investors looking for market insights and analysis.
Average
Audience Quality
21.5%
Suspicion Index
33.4%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.0%
Empty Bio
28.8%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
35.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
18.7%
<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.
53,207,176
Total Potential Reach
31
Median Follower Reach
96
75th Percentile Reach
4.2%
>1K followers
0.9%
>10K followers
0.2%
>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).
43.0%
Creators
21,480 accounts
28.2%
Consumers
14,118 accounts
28.8%
Dormant
14,402 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):
1,713
Verified Followers
1.7% of total
6,553
Protected Accounts
6.49% of total
4 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 | 14,105,755 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CryptoWeb3_NFT | 4,362,994 | - | - |
| @SirKunt | 2,254,885 | - | - |
| @BTC_Archive | 1,248,496 | - | - |
| @ZubyMusic | 1,087,912 | Rapper | Rapper, Author, Podcaster |
| @LeBronJames | 1,005,979 | - | - |
| @NoraEstia | 781,313 | Crypto Influencer | Crypto, Giveaways, NFT |
| @iownjd | 779,505 | Lawyer | learn, inspire, engage |
| @cryptomanran | 701,945 | Crypto Influencer | Cryptocurrency, Investing, Blockchain |
| @solalexasch | 678,154 | Musician | Music, Travel, Tattoos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,731
Followers With Bio
47,266
Followers Without Bio
53.2%
% With Bio
46.8%
% 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 analyzed40,321
Combined Engagement
4,443
Total Likes
35,878
Total Retweets
8,064
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @F1: FERNANDO ON THE PODIUM!!!! #BahrainGP #F1 https://t.co/mlUlFM6E5P
RT @F1: Time to party! 🥳 (sound on 🔊) #BahrainGP #F1 https://t.co/oUK1O7FFtM
RT @unusual_whales: BREAKING: Before the collapse of Silicon Valley Bank, $SIVB, the CEO sold $3.57 million of stock within the last two we…
When #Bitcoin is at $25K, people want to buy at $22K. When #Bitcoin is at $22K, people want to buy at $19K. When #Bitcoin is at $19K, people want to buy at $12K. The end up buying at $30K. Avoid emotions, trade prices. Just dollar-cost average.
If #Bitcoin runs to $35K, I'll assume we'll see some significant runs on the markets. $LINK - $12-15 $AVAX - $55-60 $ATOM - $22-25 $FTM - $1.10-1.30 $SKL - $0.20-0.25 $LTC - $185-210 $ETH - $2,500-2,800
Key Insights & Takeaways
He frequently highlights the cyclical nature of Bitcoin price movements and investor behavior. He provides price ranges for various cryptocurrencies, suggesting potential market trends. He uses historical price data to predict future market behavior and educate his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 666,800
- + 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 @CryptoMichNL reveals an well-established Twitter presence with 666,800 followers. The account demonstrates a content-creator strategy, averaging 463.9 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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