How to Find Amazon Brands That Match Your Agency’s ICP

The hardest part of prospecting for an Amazon agency is often not finding an email address. It is identifying which brands are actually worth contacting.

A conventional B2B database can tell you a company's industry and headcount. It usually cannot tell you whether its Amazon catalog, estimated marketplace sales, category, or product mix fits your agency's strengths. Start with marketplace intelligence, then enrich the business and people behind the storefront.

Step 1. Write the ICP before opening SmartScout

Build a qualification sheet with must-haves, nice-to-haves, and exclusions. Example fields:

Revenue tools provide estimates, not audited sales figures. Treat them as a screening signal, not proof. Some brands operate multiple storefronts or sell substantial volume off Amazon.

Step 2. Build the initial brand universe in SmartScout

Use SmartScout's available brand and seller research filters to narrow the market by category, estimated revenue, marketplace and other supported attributes. Export the resulting brands and relevant identifiers, subject to your plan's features and the platform's terms.

Keep the brand name, Amazon storefront URL, representative ASINs, category, estimated sales band, date of extraction and data source. Preserve the underlying marketplace evidence. Deduplicate brand variants and storefront aliases before enrichment.

Quality check: Randomly inspect a sample of exported brands. If too many are wholesalers, agencies, unrelated sellers or micro-brands, revise the filters before paying to enrich thousands of records.

Step 3. Bring the records into Clay

Create a Clay table with one row per brand. Recommended columns include brand name, Amazon URL, category, estimated sales band, representative ASIN, website domain, LinkedIn company page, decision-maker, role, work email, verification status, and research notes.

Use a company/domain enrichment source such as Clearbit where available to suggest the brand's website. Do not assume the first matching domain belongs to the Amazon seller. Validate against the official storefront, packaging, brand website, legal company name or other corroborating evidence. Brands with common names are especially easy to mismatch.

Step 4. Use Claygent to identify the right person

The right contact depends on the size of the company. A founder may own Amazon decisions at a small private-label brand. Larger brands may have a Head of Ecommerce, Director of Marketplaces, Head of Amazon or VP of Marketing.

Here's an example research prompt you can adapt for Claygent:

Research the company behind this Amazon brand: [BRAND NAME]. Official storefront: [AMAZON URL]. Candidate website: [DOMAIN]. Find the most relevant current decision-maker responsible for Amazon marketplace growth, ecommerce, or marketing. Prioritize Head of Amazon, Head of Marketplaces, Ecommerce Director, VP Ecommerce/Marketing; use founder/owner for smaller companies. Return: full name, exact title, company, LinkedIn profile URL, source URL, confidence (high/medium/low), and a one-sentence reason for the match. Do not invent names or titles. If evidence is insufficient, return “not verified.”

Require sources and review uncertain matches. A language model can assist research; it cannot independently certify identity or job tenure.

Step 5. Enrich work emails using a waterfall

Once you have a verified person + verified company domain, use an enrichment waterfall. Tools such as FullEnrich, Findymail and Prospeo can be used in sequence, depending on availability, coverage, cost and compliance requirements.

A sensible flow is: first provider → if no credible result, second provider → if still missing, third provider → stop when confidence or budget thresholds are reached. Keep the provider, timestamp and match evidence. Never confuse a guessed email pattern with a confirmed address.

Step 6. Verify before campaign import

Run the final list through an independent email verification service. Suppress invalid addresses, duplicates, unsubscribed contacts, and contacts who have asked not to be contacted. Treat catch-all domains as higher uncertainty rather than guaranteed safe. Verification reduces obvious failures; it does not guarantee inbox placement or zero bounces.

Also check applicable outreach rules, including sender identity, truthful subject lines, unsubscribe handling and regional privacy requirements. The ability to find an email address is not automatically permission to use it.

Step 7. Add a reason to reach out

A technically valid list is still a commodity unless you add context. Attach one meaningful signal per account: a competitor gap, listing-content opportunity, relevant keyword visibility issue, or a change in the brand's marketplace footprint. Score both ICP fit and evidence quality separately.

A simple operational scoring model: 0–5 for business fit, 0–5 for relevance of the observed opportunity, and a mandatory verified-contact flag. Only send research-led campaigns to rows that meet your threshold.

Step 8. Audit the list before scaling

Review a sample of 50 records manually: Does the Amazon brand match the domain? Is the person still in the role? Is the opportunity real? Are the email statuses usable? Fix the workflow if the error rate is high. A smaller accurate list can outperform a large mismatched one.

Bottom line: SmartScout helps define which brands. Clay helps connect those brands to which companies and people. Enrichment helps locate contact details. Verification and manual QA protect the final handoff.

Keep reading: Once you have a list, learn which Amazon PPC signals are worth analyzing and how to turn findings into relevant cold emails.