Cross-border Creators on YouTube: 20 Indexed

This is the pool of Cross-border creators on YouTube within E-commerce / DTC — 20 of them. The narrower the niche, the higher the reply rate; searching broadly for "E-commerce / DTC creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Average authenticity is 43/100 against 55/100 index-wide — worth raising your authenticity floor before shortlisting.
• 25% have recent content captured for judgement versus 40% overall — confidence here is lower than average, so pair it with manual review.
• A and B grades are 20% of this slice versus 33% overall — expect to screen through more names to find usable ones.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• Kai Idea | โลกการเงิน (@kaiideapodcast) — How countries became wealthy (Norway

• E-Commerce Brasil (@ecommercebrasil) — Eventos e networking de e-commerce no Brasil

• AVASK (@AVASKgroup) — 欧洲/英国市场拓展与合规

• Stackry (@StackryGlobal) — 美国零售促销与清仓

• ภาษีต้องรู้ ของผู้ขายออนไลน์ (@O.OnlineSellerTax) — Online seller tax filing (PND.90/94)

• SINO Shipping (@SINO-Shipping) — China shipping methods and freight forwarding

• CommBank Business (@commbankbusiness) — Economic outlook and interest rate forecasts

• Mous Badro (@m_badro) — 非洲电商规模化与横向扩张

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Cross-border" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.