An ecommerce company's storefront is its balance sheet in disguise, if you know where to look. Knowing how to research ecommerce companies for sales starts with the store itself: the platform behind it, the apps running on it, the checkout, the shipping and returns policy that names the fulfillment model, and the Meta Ad Library entry that shows how hard they are spending to acquire customers this month. Add the marketplace presence on Amazon, the customs records that name their factories, and the careers page that says which functions are growing, and you can describe the business better than the About page does. Public brands hand you gross margin and average order value in a 10-K; private ones leave the same clues in plain sight. The checklist below is that reading order. The prompt under it does the reading and separates what it confirmed on the storefront from what it inferred from the marketing.
What is different about selling into Ecommerce
Ecommerce buys around the calendar it sells on. From October through early January most brands freeze the storefront, the stack, and the team's attention, so a pitch in November is a pitch for February. Budgets are marketing-led and judged against customer acquisition cost and contribution margin, so a tool that cannot be tied to conversion rate, average order value, repeat rate, or fulfillment cost per order has no line to live on. The founder signs at brands under about $20 million; above that a VP of Ecommerce or a CMO owns the stack up to a threshold and the CFO owns the rest. Platform lock-in is real: a Shopify Plus brand and a Salesforce Commerce Cloud brand run different app ecosystems. The misread that ends credibility is mistaking a DTC brand for a marketplace seller, or a retailer for a brand. Their margins, buyers, and problems are different businesses.
How to research ecommerce companies for sales: the checklist
Read the store before the company: the stack, the shipping page, and the ad library take ten minutes and settle the platform, the fulfillment model, and the acquisition spend. The rest of the checklist tells you what to do with them.
You are researching {{company}} ({{company URL}}), an ecommerce business, so I can sell {{our product}} to them. Read their storefront, product and collection pages, shipping and returns pages, About page, careers page, and news or press page, plus the 10-K if they are public.
Produce a one-page brief:
1. Model: DTC brand, marketplace seller, multi-brand retailer, or manufacturer selling direct, and the channels named on the site.
2. Stack: the commerce platform and any apps, payment, review, loyalty, or subscription vendors visible in the page or its scripts.
3. Operations: fulfillment model, 3PL or in-house, shipping regions, and the return policy.
4. Catalog and price: category, SKU breadth, price range, and any subscription or bundle offers.
5. Growth: open roles by function, international stores, wholesale partners, and anything announced in the last two quarters.
6. Likely buyer for {{our product}} and the metric, conversion, AOV, repeat rate, or cost per order, they will judge it against.
Tag every line Confirmed (cite the page) or Inferred (state the reasoning). Where the site does not say, write 'Not stated' and name the source that would, BuiltWith, the Meta Ad Library, or ImportYeti. Close with three questions to ask on the first call.- The storefront through BuiltWith or Wappalyzer: the commerce platform, the apps and scripts installed, the payment and checkout providers, and the analytics and marketing tags running on the page.
- The shipping, returns, and FAQ pages: fulfillment model, 3PL or in-house, international shipping, and the return window, which together tell you margin pressure and operational maturity.
- The Meta Ad Library for the brand's page: active ad count, how long each creative has run, and which products and offers they are pushing right now.
- The Amazon storefront and other marketplace listings: whether they sell there at all, review volume and ratings, and whether the brand or a third party controls the listing.
- The careers page filtered to growth, ecommerce, and operations, and, for a public brand, the 10-K for gross margin, average order value, active customers, and revenue by channel.
- A replatform in progress: job posts or agency case studies naming a migration to Shopify Plus, commercetools, or BigCommerce, which reopens every integration on the site.
- A 3PL change or a new fulfillment center: a cutover with inventory, shipping rules, and customer-notification systems all in motion at once.
- New currencies, locales, or a country-specific store: international expansion with duties, tax, and localization work nobody on the team has done before.
- Active ad count rising sharply in the Meta Ad Library, or a new performance-marketing hire: an acquisition push and pressure on the conversion and retention math behind it.
- A wholesale or retail expansion, the brand appearing at Target, Sephora, or a specialty chain: a new channel with EDI, inventory allocation, and margin trade-offs the DTC team never faced.
- What kind of business is this, DTC brand, marketplace seller, multi-brand retailer, or a manufacturer selling direct, and which channel carries the revenue?
- What platform and stack run the store, and does my product install as an app, integrate through an agency, or replace something already paid for?
- How do they fulfill and how do they acquire customers, and which of those two costs is out of line?
- What is the revenue band and the growth trend, judged from headcount, ad activity, and channel expansion?
- Who owns the budget for what I sell, founder, VP of Ecommerce, CMO, or COO, and when does the peak-season freeze start and end for them?
- BuiltWith and Wappalyzer for the commerce platform, apps, payment providers, and marketing tags on any storefront.
- The Meta Ad Library for active ads by page, and the Amazon storefront, product pages, and Trustpilot for review volume and sentiment.
- ImportYeti for US customs shipment records that name overseas manufacturers and shipment frequency by importer.
- SEC EDGAR for public brands and retailers, and Crunchbase for private funding rounds and investors.
Check the ad library before the About page; the About page tells you the founding story and the ad library tells you what they need to sell this month.
Run the research on a real account
The checklist covers a founder-run Shopify brand and a public retailer with equal weight, and the buyer at each is a different person judging a different number. Let Claude read the store and cut the list for you. It reads the storefront, the shipping pages, and the job posts, then returns the checklist sized to this account with each signal marked as seen, not seen, or unverifiable.
I sell {{our product}} to {{buyer persona}} at ecommerce companies. I am researching {{company}} ({{company URL}}).
Read their storefront, shipping and returns pages, About page, and careers page, plus anything public you can reach. Tell me first: the model (DTC brand, marketplace seller, retailer, or manufacturer selling direct), the commerce platform if you can identify it, and the fulfillment model.
Then rewrite the research checklist below for this account. Remove items that do not apply to this model or size, reorder the rest by relevance to a {{our product}} conversation, and for each signal state whether you saw it, did not see it, or could not check.
Name the person most likely to own the budget for {{our product}} at a brand this size, the metric they will judge it against, and when their peak-season freeze likely runs. Mark everything Confirmed or Inferred.
CHECKLIST:
{{paste the checklist above}}Research any account with Claude
- Account brief skill →The Claude skill that turns a company URL into a source-grounded first-call brief, plus the account plan template.
- 90-second account brief prompt →The copy-paste prompt version for one account, right now.
- Account brief from a URL, the use case →The full play, with the tool chain that researches every account on the list before the first call.
Frequently asked questions
How do you research ecommerce companies for sales?
Read the store before the company. Run the storefront through BuiltWith or Wappalyzer to get the platform, apps, and payment providers. Read the shipping and returns pages for the fulfillment model and the return window. Open the Meta Ad Library for the brand's page to see how many ads are live and what they are pushing. Check the Amazon storefront for marketplace presence and review volume, and ImportYeti for the factories behind the products. Then read the careers page for which functions are growing. That sequence produces a brief a VP of Ecommerce will recognize.
How do you find out what platform an online store runs on?
BuiltWith or Wappalyzer will name it from the page source in seconds, along with the apps, payment providers, and analytics tags installed. Some tells are visible without a tool: a checkout URL on a different domain, a 'Powered by' badge in the footer, or the structure of collection and product URLs. Agency case studies and job posts confirm it and often name the version, Shopify Plus versus Shopify, for instance. The platform matters because it defines the app ecosystem, the agencies involved, and whether your product installs in an afternoon or needs an integration project.
Why should you avoid pitching ecommerce companies in Q4?
Because most brands earn a third or more of the year's revenue between October and early January, and they protect that window with a code freeze, a hiring pause, and a rule that nothing new touches the storefront or the stack. A pitch in November competes with Black Friday, and a demo in December competes with returns season. The team is also exhausted and short on attention for anything that does not ship an order. Work the account in late January through March instead, when the peak post-mortem is fresh, budgets are set, and the pain from Q4 is specific enough to name.