Reaching eCommerce brands at scale requires bypassing Shopify's storefront privacy, platform anonymisation, and Amazon's buyer walls. Every contact is sourced from verified business registrations, LinkedIn, and proprietary web research — not scraped from store pages.
Shopify deliberately hides store owner identities. Amazon obscures seller contacts. Most "eCommerce lead lists" are simply scraped store pages with hello@ emails — exactly the inbox nobody reads.
Yes. Shopify stores can be filtered by product category (fashion, beauty, supplements, home goods, electronics, etc.), estimated monthly revenue tier, and geography. Revenue estimation is based on SimilarWeb traffic data and publicly available marketplace indicators — it is an estimate, not a guaranteed figure, but it is highly effective for segmenting mid-market stores from micro-sellers. All filtering criteria are confirmed and scoped during your initial brief.
The goal is always the direct brand owner, founder, or purchasing manager — never hello@ or support@. For smaller DTC brands (1–20 employees), this is typically the founder themselves. For larger eCommerce operations, contacts are targeted at the VP of Partnerships, Head of Procurement, or Buying Manager level. Generic customer service addresses are explicitly excluded from every list.
Yes. Amazon FBA sellers can be targeted through a combination of LinkedIn research (many FBA operators list themselves publicly), seller database tools, and brand registration data. Amazon seller contact sourcing is more manual-intensive than Shopify due to Amazon's privacy architecture — list sizes for FBA campaigns are typically 200–500 records per project, with a higher per-contact research time reflected in the project scope. A free sample of 50 records is available before any paid engagement.
Request a free 15-contact sample from your target eCommerce category. Evaluate data quality, email deliverability, and platform accuracy — zero commitment, zero payment.
