The problem this solves
E-commerce is a market where the technology stack is the segmentation. A brand on <platform> has a known set of integrations, a known set of gaps and a known set of tools it is likely to buy next, so a list scoped to that platform is already half-qualified. The difficulty is that platform detection, headcount and country all live in different places, and most 'stores on <platform>' lists are enormous, unranked and full of hobby shops with no team.
The headcount floor matters because it separates a store from a company. Twenty or more employees means a marketing function, an e-commerce lead and a budget; below that, the founder does everything and buys nothing. Adding the right person with a verified email makes the sheet immediately usable, and saving it as a list means the next quarter's new brands can be added without rebuilding.
How the mission runs
- Detect the platform across the country. The Prospecting Agent uses technographics to find companies with <platform> detected on their storefront and firmographics to keep the ones headquartered in <country>. Companies whose storefront is on the platform but whose corporate site is elsewhere are still matched, because the detection runs across the company's properties.
- Apply the headcount floor. Headcount comes from live company data, and the agent keeps companies with 20 or more employees. It also records the industry sub-category - apparel, beauty, home, food - so the sheet can be filtered later.
- Find the e-commerce or marketing lead. People search looks for the Head of E-commerce first and the Head of Marketing second, with a verified work email for each. Where both exist, the sheet carries the e-commerce lead and notes the marketing lead.
- Save the list and export to Sheets. The 200 companies are saved as list <name> and exported to Google Sheets with domain, headcount, sub-category, the platform evidence, the contact and the verification status as columns.
The prompt
This is the exact objective the agent receives. Swap the obvious placeholders for your own domain, segment or channel and run it as-is from the console, Slack, or the API.
What comes back
List <name> and a matching Google Sheet with 200 e-commerce companies in <country> running <platform> with 20 or more employees, one row per company with the platform evidence, headcount, sub-category and the head of e-commerce or marketing with a verified email. The report shows how many companies on the platform exist in the country above the headcount floor, so the 200 can be read as a slice of a known market.
Make it yours
- Add a second platform and ask for brands migrating between them, which technographic change data can reveal.
- Filter to brands also running <app or tool> to find stores already spending on your category.
- Deliver to Klaviyo as a tagged list when the outreach will run through your lifecycle tooling.
- Ask for the annual revenue band where estimates exist and the sheet gains a column for sizing the conversation.
Frequently asked questions
How is the country determined for a brand that ships everywhere?
By headquarters location in firmographic data, which reflects where the company is registered and where its team sits. Ask for 'sells into <country>' instead and the agent uses storefront locale and currency signals.
Can the headcount floor be a revenue floor instead?
Where revenue estimates exist, yes; the agent tells you how many companies carry a revenue estimate so you know how much of the market the filter covers.
How many contacts can it find per company?
One by default, and up to three if you ask for the e-commerce, marketing and operations leads together.
How does the agent handle brands with several storefronts?
Storefronts sharing a parent company are grouped under the parent domain, with each storefront listed in a detail column, so a group running five stores on <platform> appears once with its total headcount rather than five times.