Skip to content

Big ecommerce & many SKUs

Sell across the whole catalog, not just the hero products.

Paid media for large ecommerce, with the data work to forecast which categories deserve budget and the structure to sell across your inventory.

Some of the 45+ companies we've worked with

  • Million Star
  • Inkit
  • Taggart Media Group
  • OnSched
  • GoingVC
  • Fluks
  • Martian Designers
  • Oceans Optics
  • Tillak
  • Copy That Publishing
  • Doctor Vein
  • Empower Tutoring

The challenge

With hundreds or thousands of SKUs, the easy money hides in a few products while the rest of the catalog drains spend. The job is to find where the margin actually is and structure the account to chase it.

What we optimize to

verified profit across the whole catalog.

Not the ROAS the platform reports.

With hundreds or thousands of SKUs, the easy money hides in a few products while the rest drain spend. We run each account against a real cost model, so optimization chases margin you can verify, not a platform number that flatters itself.

How we run it

What changes when the work is run like a research desk.

Proof

What that looks like in a real account.

Specialty-food ecommerce, large catalog

7.33× blended ROAS
Situation
A specialty-food brand with a large catalog carrying around 55 legacy paused campaigns and no structure selling across the inventory.
What we changed
We replaced the legacy campaigns with a single catalog-wide Performance Max structure, did deep operations research, and advised on pricing and the levers to scale the store further.
Result
Cleared breakeven within days, reached 4.25× by day 8 and 7.33× blended by day 14, around $5K revenue in the first two weeks of working together.

Client anonymized to protect their competitive data.

Questions

What clients ask before they start.

We have thousands of SKUs. How do you decide what to advertise?

We start by analyzing your sales order data to find the strongest candidates to advertise, whether whole categories or individual SKUs, instead of treating the catalog as one blob where a few products carry it and the long tail drains spend. We weight budget toward what the data says will return and keep feeds clean so the algorithm pushes the right products at the right margin. On an existing account we work with what is there and still launch new categories or lines where coverage is missing, depending on the state of the account.

How do we know a reported ROAS is actually profitable?

Platform ROAS counts revenue, not margin, so a high number can still lose money on low-margin SKUs. We build the real cost picture for your catalog so optimization chases profit you can verify, and we will advise on pricing and operations where those are the real constraint.

Performance Max or standard Shopping for a big catalog?

Performance Max can be powerful across a large catalog, but only with clean feeds, sensible product grouping, and proper asset and brand controls, otherwise it hides where the money goes. We set the mix per account and keep enough structure to see and steer what is selling.

How important is the product feed?

For ecommerce it is half the account. Titles, images, attributes, and category data decide which searches you show for and how well the algorithm can sell. Cleaning and enriching the feed is often the fastest win on a large catalog, before touching bids.

Most of our revenue comes from a few hero products. Is that a risk?

It is, if spend concentrates there by accident rather than by choice. We keep the heroes profitable while deliberately testing the next tier of products, so the account is not one seasonality swing away from trouble.

How do you keep a large account from drifting?

Big catalogs drift as inventory, margins, and seasonality change. We track performance at the product, product line, category, and account-wide levels, not just account totals, so a product or category going unprofitable or a broken feed is caught early instead of eating budget unnoticed for a month.

Which platforms do you run for ecommerce?

Google Ads is the core, and we run Meta and Amazon too. For store founders we often recommend Google first, then Amazon, then Meta as a sequence, though the reality is you can scale to very high revenue on a single channel per store. Clean feeds and a deliberate structure matter more than the channel count.

Get a free advertising audit and strategy report.

Tailored to your business: we audit your account, analyze your market, and send back forecasts, benchmarks, and clear recommendations. No obligations.