Marketplace sellers Creators on X (Twitter): 44 Indexed

This is the pool of Marketplace sellers creators on X (Twitter) within E-commerce / DTC — 44 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

• 100% have recent content captured for judgement versus 46% overall — better-evidenced than average.
• 25% publish an email or IM handle against 6% index-wide — easier to reach directly than average.
• A and B grades are 59% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.

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

• ALASIRI MOTORS (@alasirimotors) — Logbook management hacks for Kenyan vehicles

• Paul O'Brien (@seobrien) — Startup ecosystems

• Ecommerce News (@Ecommerce_es) — eCommerce consumer trends in Spain

• eBay Deutschland (@eBayDE) — D2C sales strategies

• @SellerAmp — Amazon sourcing analysis

• @Yoroomie — Marketplace GMV deep dives

• 株式会社そばに｜Amazon・楽天コンサル (@AmazonSobani) — Amazon operations outsourcing and consulting

• Justas (@IconUtopia) — Shopify agency partnerships

• Location Insider (@LocationInsider) — Retail and e-commerce news

• Efstathios Intzeidis, MBA (@Stathis65) — Marketplace financial results and user numbers

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

"Marketplace sellers" 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.