How to choose an ecommerce listing agency.

Full disclosure first: Scenox Commerce is a product upload and catalog service, so we are one of the providers you may end up comparing. We wrote this checklist so you can compare us, and everyone else, on the same terms. We do not name or rank other companies here.

Choosing badly is expensive in a particular way. The invoice is rarely the problem. The cost is a catalog full of wrong variants, a store you cannot trust and a month spent finding the errors yourself.

The 14 criteria

Price and scope

1. Pricing transparency. You should see a fixed price, or a clear rate card, before work starts. "We will let you know" is not a price.
2. What the price includes. Ask whether it covers variants, images, SEO titles, meta fields, revisions and QA. A low number that excludes half of that is not low.
3. Revision policy. Find out how many rounds of corrections are included and what counts as a revision versus a new request.

Proof of quality

4. A sample on your products. Ask for 10 products, from your own catalog, including a few awkward ones. A portfolio is polished; a sample is honest.
5. A visible QA process. Who checks the work, and how? "Our team is careful" is not a process. Look for a named review step and a written report of changes and flags.
6. Handling of missing data. Ask what happens when a size or material is absent. The right answer is that they flag it, not guess.

Depth and fit

7. Platform depth. Ask specific questions: how do they handle Shopify's three option limit, WooCommerce variations, Magento configurables, BigCommerce option sets? Vague answers show thin experience.
8. Marketplace and feed knowledge. If you sell beyond your store, ask about category mapping, required attributes and flat files.
9. Your category. Fashion size runs, electronics compatibility, auto parts fitment: ask for relevant experience, described in general terms.

Security and ownership

10. Access method. They should work through a staff or collaborator account you can revoke. A provider asking for your admin password is a red flag, full stop.
11. Data ownership and use. Confirm in writing that your data stays yours, is deleted on request and is not used to train third-party models.
12. Staging before publishing. You should approve changes in a draft, staging file or hidden state before anything goes live.

Delivery and communication

13. Turnaround in writing. A delivery date should appear in the quote, along with its conditions. Beware of claims such as "any size, any time" with no caveats.
14. Communication. Who is your contact? How fast do they reply, in your timezone? Judge this during the sample, when it costs you nothing to learn.

Red flags

• No sample offered, or only samples on products of their choosing
• A request for your store password or full-admin credentials
• Pricing that changes after the files are sent, with no scope document
• Guarantees of results they do not control, such as marketplace approvals or rankings
• Fake-looking proof: unnamed "clients" with round numbers, stock photos of "team members", reviews with no source
• No explanation of how errors are caught
• Pressure to pay the full amount before any output

Questions to ask on the first call

1. Can you do a 10-product sample on our data, and by when?
2. Who reviews the output, and what do they check?
3. What do you send back besides the finished products?
4. How do you give us access, and how do we revoke it?
5. What happens to our data when the project ends?
6. What is excluded from this quote?
7. If you find missing information, how do you tell us?
8. What is the delivery date, and what would delay it?
9. How do corrections work after delivery?
10. Have you handled our platform, and our product type, before?

Check the scope, the people and the contract

Two things get skipped most often. First, scope: ask exactly which fields are filled, which platforms and channels are covered, whether images and descriptions are included, and what counts as a revision. Second, people: ask who actually does the work and who reviews it, not only who sells.

Read the terms too. Look for who owns the finished data, whether you can leave without penalty, how your files are stored and deleted, whether they are used to train models, and what happens to the work if the relationship ends.

A scoring table you can copy

Score each provider from 1 (poor) to 5 (excellent), multiply by the weight and add up the totals. Adjust the weights to your priorities; the ones below are a starting point.

Weight the sample most heavily. It is the one criterion that cannot be faked with a nice web page.

Pricing: what to expect

Prices vary widely, so ask each provider for the same scope in writing. Our own starting prices for catalog listing are below, so you have a reference point, not a ruling.

Over 1,000 products we quote custom, after inspecting files. Our full numbers are on the pricing page, and the product upload cost guide explains what moves a quote up or down.

Is this a fit?

If you are comparing providers, use the checklist as is, whoever you choose. If you are deciding whether to outsource at all, read outsourcing versus in-house versus freelancers first. For a store with a few dozen products and time to spare, doing it yourself is perfectly reasonable.

If we are on your shortlist, our sample is free for projects that fit: ask for the free 10-product sample, judge it against the table above and request a fixed quote at /get-started only if it earns one. For what we deliver, see ecommerce product listing services.