Build the list

Find ecommerce brands by platform, category, and app stack

An ecommerce brand's storefront shows what it sells, what it runs on, and whether someone is paying to send traffic to it. The team behind it is the part you work for.

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Ecommerce is one of the few segments where the qualifying evidence sits on a public page. Platform, checkout, reviews widget, subscription app, currency, shipping regions: all of it renders in a browser, so all of it can become a dated column.

The build runs as one table. LeadMagic's website scan names the platform and the tools the store loads. Firecrawl pulls the pages when you need catalog size, a policy page, or an app widget. People Data Labs supplies the company behind the brand, and Blitz API handles contacts last.

Example searches

Ask for it the way you'd say it

Each example is a request in plain words, with what it returns underneath.

  • Brands on a subscription app

    dtc supplement brands that run a subscription app on their checkout

    Each app check is a dated column, so a brand that removed one last month reads as a change rather than a quiet mismatch.

  • Catalog size as a proxy

    apparel brands with more than 200 products and a published wholesale page

    Product count comes from crawling collection pages, which makes it a measured figure with a timestamp rather than a guessed band.

  • Who runs growth here

    for each brand find the founder or whoever owns ecommerce, plus a work email

    Small brands often resolve to the founder and nobody else, which the row records instead of hiding it behind a support inbox.

Plays

Three motions you can run this week

Each one is a chain of OXYGEN primitives: the same hosted objects your workspace already has, composed.

  • Platform-gap list

    A list of brands missing the app category you replace, with the evidence in the row.

    1. Tables
    2. Records
    1. 1Crawl the storefront, write detected apps into columns, filter to the brands missing yours.
    2. 2Promote the qualified brands onto records, then check the next run's domains against this table before any paid column runs.
    oxygen tables create

  • Owner-level outreach

    Messages that reference the store instead of opening with a generic ecommerce line.

    1. Tables
    2. Knowledge Graph
    3. Sequences
    1. 1A Web Research Agent column reads the product pages and returns one specific observation per brand.
    2. 2Ground the draft in your positioning page, then enroll from a warmed sender.
    oxygen sequences draft

  • Watch for the replatform

    You reach a brand within one refresh of its platform change, while it may still be choosing apps for the new store.

    1. Tables
    2. Workflows
    3. Sequences
    1. 1Add LeadMagic's website scan as its own column and schedule a full refresh under a credit ceiling, so a platform change shows as a dated cell. A lookup repeated within 30 days returns the stored scan free, so space refreshes more than 30 days apart.
    2. 2Within a week of each refresh, compare each brand's new scan with the old one in its cell history. Copy the brands whose platform changed into a table of their own, and enroll it in a short sequence written for that moment.
    oxygen tables schedule set

Who you can reach

Roles you can find at ecommerce and DTC brands

Reachability is per channel: a role marked for mobile is one the phone waterfall usually resolves, not a guarantee for every record.

RoleSeniorityReachable by
Founder or brand ownerOwner/FounderWork emailLinkedInMobile
Head of EcommerceDirectorWork emailLinkedIn
Ecommerce managerManagerWork emailLinkedIn
Head of Retention or CRMDirectorWork emailLinkedIn
Performance marketing leadManagerWork emailLinkedIn
Head of OperationsVPWork emailLinkedIn

Filters you can search on

  • Storefront platform detected on the domain
  • Checkout, review, and subscription apps in use
  • Product count band taken from the catalog
  • Category and typical price point
  • Store currency and shipping destinations
  • Advertising pixels present on the site
  • Wholesale or marketplace presence
  • Team size band

Brands with a working storefront resolve well. A wholesale-only business with a brochure site gives you a company and little else, and a brand trading only through marketplaces may not surface at all. Contact coverage tracks team size: one-person brands usually resolve to the founder.

Data sources

Data sources and CRM connections

  • LeadMagic

    Scans the storefront for its platform, such as Shopify or WooCommerce, and the analytics, marketing, and chat tools it loads.

  • TheirStack

    Finds brands whose job postings name a platform or app, with the dates each was first and last seen. Small brands that never post jobs are thin here.

  • Firecrawl

    Crawls catalog and collection pages to count products, and extracts the pages that decide fit: shipping policy, wholesale page, about page.

  • People Data Labs

    The company behind the brand, with team size and where the business actually operates.

  • Blitz API

    Opening lane of the contact chain, run on brands that cleared the storefront filters.

Use managed credits where available, or connect a supported provider key on an eligible paid plan. Your provider bills its calls; OXYGEN adds a per-call platform fee. Signed-in CRM connections such as HubSpot have no per-call fee. Connected sending accounts reserve monthly credits. See pricing and supported integrations.

Limits

Where this stops

  • Few brands publish revenue, so every size band here is an estimate. Use a Revenue (estimate) column where a source has a figure, or build your own band from catalog, team size, and shipping footprint. Ask for the number on the call.

FAQ

Questions people ask first

Can I filter on the apps a store has installed?
Yes, wherever the app leaves something on the rendered page. Each one becomes a column, which makes absence as usable as presence when you sell the missing piece.
How do you tell a real brand from a dropshipper?
Read the catalog and the policy pages. A thin catalog with boilerplate shipping text and no about page behaves nothing like a brand with named suppliers and a returns address.
Do you have revenue figures for these brands?
Only as estimates. A Revenue (estimate) column returns a figure or a range band where a source has one, and few brands publish a real number. Catalog size, team size, app stack, and shipping footprint are observable, so build bands from those and keep the derivation visible.
What if the only contact is a support inbox?
Keep it apart from named contacts: the free email_type formula labels a support or info address as a role address. Copy only rows with a named contact into the table you enroll, and reach the rest by phone or LinkedIn. Many small brands are one founder, and the contact chain often finds that person.
Does this work outside the United States?
Yes. Currency, language, and shipping destinations are on the page, so a European or Australian segment is a filter. Mobile coverage is thinner outside the United States.
How do I avoid enriching the same brand twice?
Dedupe on the normalized domain before any paid column runs. Brands appear under several storefront URLs, and deduping first turns four lookups into one.

Build your ecommerce and DTC brands list

Start with a search, preview the cost before anything is spent, and keep the rows, sources, and runs in a workspace you own.

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