Influencer gesamt (Mode & Stil) in Amsterdam, Netherlands
223
Erwartete Reichweite
4.1M
Follower gesamt
26.4M
Durchschn. Engagement
6.53%
Entdecke die einflussreichsten Creator in Amsterdam mit unserem Ranking der Top 20 Influencer auf TikTok, die Mode & Stil Inhalte posten. Diese datengetriebene Analyse zeigt, wer Diskussionen prägt, Trends setzt und in 2026 die höchsten Engagement‑Raten erzielt.
Zielgruppenanalyse derzeit nicht verfügbar.
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For content creators, these insights help with:
Our rankings are generated using advanced algorithms that analyze multiple performance indicators:
Data is refreshed weekly to ensure you're always working with the most current information. Last update includes performance data through November 2026.
Aktuell (Stand November 2026) ist Bo Brown (@bobrownn) der/die am schnellsten wachsende Mode & Stil Creator in Amsterdam auf TikTok mit +1.1% monatlichem Wachstum (+31.2K Follower).
Bo Brown (@bobrownn) gewann etwa 31.2K Follower (+1.1%) im letzten Monat.
Bo Brown (@bobrownn) wuchs stärker als Kenzy🩷 (@kenzyber) (31.2K vs. 6.4K).
Kenzy🩷 (@kenzyber) wächst aktuell um +9.1% (+6.4K) pro Monat, mit einem Profile Score von 5.9 und einem durchschnittlichen Engagement von 4.42%.
Lotte Klein Nibbelink <3 (@lottekln) wächst aktuell um +2.3% (+4.5K) pro Monat, mit einem Profile Score von 6.0 und einem durchschnittlichen Engagement von 6.18%.
Lea Frentzen (@leafrentzen) wächst aktuell um +3.2% (+3.7K) pro Monat, mit einem Profile Score von 5.5 und einem durchschnittlichen Engagement von 6.37%.
Isabel Marie (@isabelxmariex) wächst aktuell um +0.7% (+3.6K) pro Monat, mit einem Profile Score von 5.2 und einem durchschnittlichen Engagement von 9.86%.
Kenzy🩷 (@kenzyber) liegt vorne (9.1% vs. Lotte Klein Nibbelink <3 (@lottekln) 2.3%).
Bo Brown (@bobrownn) gewann etwa 31.2K Follower (+1.1%) im letzten Monat.
Kenzy🩷 (@kenzyber) gewann etwa 6.4K Follower (+9.1%) im letzten Monat.
Lotte Klein Nibbelink <3 (@lottekln) gewann etwa 4.5K Follower (+2.3%) im letzten Monat.
Lea Frentzen (@leafrentzen) gewann etwa 3.7K Follower (+3.2%) im letzten Monat.
Isabel Marie (@isabelxmariex) gewann etwa 3.6K Follower (+0.7%) im letzten Monat.
Ja – Bo Brown (@bobrownn) hat einen Profile Score von 3.6, durchschnittliches Engagement von 2.06% und +1.1% (+31.2K) monatliches Follower‑Wachstum, was für hohe Relevanz spricht.
The average engagement rate for this category is 6.53%. Generally, rates above 7.8% are considered excellent, while rates above 5.2% are good. Engagement rates vary by platform, niche, and follower count - micro-influencers often have higher rates than mega-influencers.
The Profile Score (0-10 scale) is a composite metric that weighs several factors: 40% engagement quality, 25% audience reach, 20% growth momentum, 10% content consistency, and 5% audience authenticity. A score above 7.0 indicates a high-performing influencer, while scores above 8.5 represent elite-tier creators.
Yes! This ranking is designed to help brands, agencies, and marketers identify potential partnership opportunities. The data provides a starting point for campaign planning, competitor analysis, and market research. For detailed campaign analytics and contact information, consider upgrading to our professional tools.
Monthly growth shows the percentage change in followers over the past 30 days. Positive growth (green) indicates gaining followers, while negative growth (red) means losing followers. The number in parentheses shows the absolute follower change. High growth rates often indicate viral content or successful campaigns.
Location-specific influencer tracking is crucial for targeted marketing campaigns. Local influencers often have higher engagement rates within their geographic area, understand cultural nuances, and can drive better ROI for region-specific products or services. They're particularly valuable for retail, hospitality, and location-based businesses.
Focus on these key areas: (1) Increase engagement by creating content that encourages comments and shares, (2) Post consistently to maintain audience interest, (3) Use relevant hashtags to expand reach, (4) Collaborate with other creators in your niche, (5) Respond to comments to build community, and (6) Analyze your best-performing content and create similar pieces.
Note: This ranking represents a snapshot of current tiktok influence based on publicly available data. Rankings can fluctuate based on content performance, platform algorithm changes, and audience behavior. Use this data as one of several factors in your decision-making process.