Three priorities, ranked in the order we'd attack them
Not a list of observations. Three, numbered, with the reason the first comes before the second — and each one labeled observed or hypothesis to test, so you know what you can act on Monday.
DTC apparel and accessories founders and marketing leads running paid ads in the US:
We read your ads, your product page and what’s actually left after an order ships. You get three ranked priorities, one product page fix and your next creative test, in writing.
Your split is the first thing we read.
Four fields, about a minute. Your contact details and your store.
Sample · illustrative demonstration, not a client
This is the shape of a Teardown, run on a made-up women’s ready-to-wear store so nothing here belongs to anyone. The labels are the point: what we could see from outside, what we would test, and what we cannot answer without your numbers.
Check the product mix across ads and collection pages. In this fictional example, most observed creatives feature two dresses, while the collection page leads with other products. That difference is visible. It does not tell us which products receive the most spend or generate the most orders.
Carry the fit promise from the ad onto the product page. The sample ad highlights the dress’s fit, but its product page gives no model height or worn size. That missing information is observable. Whether it is stopping purchases is a hypothesis, not a conclusion we can reach without funnel data and a test.
Confirm which product deserves more budget. A store’s bestseller labels are visible; actual sales volume and contribution margin are not. Orders, costs, returns and stock by size would help us decide whether either dress is a sensible candidate for more spend. Without those numbers, that decision stays open.
For the fictional wrap dress, place the model’s verified height and worn size beside the size selector, with a link to garment measurements. The aim is to answer the fit question at the moment of choice. Test this against the existing page; compare product-page-to-purchase conversion, using add-to-cart rate as a supporting signal. A recommendation to test, not a promised lift.
Angle: fit confidence. Use the same on-model image with and without a short, verified height-and-size caption. Keep the offer and destination the same, and run this separately from the page test. Compare purchases and cost per purchase, not just clicks. The question: does that extra fit information attract buyers who complete an order?
Illustrative only. No store, client or result here is real, and none of it projects what your store will earn.
The method has run in six markets: Japan, Ireland, France, the United States, Mexico and Brazil.
You are not wrong that the number looked fine. Platform ROAS counts the order at checkout. It does not count the one that came back three weeks later.
These symptoms don't always share one cause. But none of them get solved by paying more for the same customer.
Scaling doesn't fix the math.
One pass over the path your money takes. The ad, the PDP, and the order that lands. Fixed scope, walked through live and delivered in writing.
Not a list of observations. Three, numbered, with the reason the first comes before the second — and each one labeled observed or hypothesis to test, so you know what you can act on Monday.
You pick the product you want to grow. We name one change on its page and why — missing information, proof, or a fit question left open. We find the friction; your data and a test confirm it.
One angle, the product it supports, and the question the test has to answer. No hook list. A hook that fits any brand doesn't fit yours. And if the result wouldn't change a decision you make, it doesn't make the cut.
The work you hire us for runs in this order, because each one sets the terms for the next. Three of them close before anyone touches the spend.
What an order leaves after cost, shipping, discounts and returns, and whether the price is set where that margin needs it.
Whether a stranger has been given a reason to accept your price before the price shows up, because cold traffic inherits nothing.
One buyer, specific enough to picture, and the product that earns the ad slot by being both profitable and explainable.
Where the next dollar goes and what it is allowed to buy, answered only once the other three are settled.
One is the only one that needs your books. At what ROAS does the account stop losing money, and at the ROAS you run today, what is contribution margin actually doing? The Teardown is the part of this we can read from outside. The rest lives in your numbers.
Two is where a brand described only by its specification ends up competing on price, because a specification is comparable and a story is not. In fashion the hook is often not a line of copy at all: it is how the fabric moves, whether the piece is worn or only shown, and whether sizing and returns are answered on the page or found at checkout.
Three settles who and what before a single cold campaign runs. On the kind of brand this fits: it is not about luxury. It is about full price, and a customer who buys the piece instead of waiting for the code.
Four is probably what you came here to talk about. Budget goes up because the decisions underneath it are holding, not because last week looked good.
We work only in apparel and accessories. Here's a full Teardown we ran on a brand that never asked us to. Everything in it came from their public ads and product pages.
You run an established clothing or accessories store, already invest in paid ads, and can act on recommendations or bring the decision-maker into the conversation.
This review is not designed for pre-launch stores, wholesale-only businesses, or projects that require guaranteed financial results.
Four fields, about a minute. Nothing gets booked here. You're not picking a time on a calendar, you're telling us what's stuck.
Not a tool and not a scoring form. A person opens your store and reads what you wrote, then an email comes back the same day, yes or no. If it lands with us in the evening you hear back the next business morning; over a weekend, Monday. When it’s no, we tell you why in the same email. If it’s a yes, the full read starts: your store, your PDPs and the ads you have live, including what’s visible in the Meta Ad Library.
One call, your store on the screen, run by a specialist from our team with the finished read in front of them. You know the agenda before you join: the three priorities in the order we’d attack them, the product-page recommendation, and the creative test. The written version follows on the date we name on the call. If there’s a fit worth discussing, we cover what working together looks like at the end — once, at the end.
Because reading a store is how we pick accounts. We'd rather spend the hours on your store than on a proposal written blind, and find out now whether we can help instead of on month three of a retainer. The read is ours. What comes out of it is yours, in writing.
We work only in apparel and accessories. Your store is read by the person doing the work, and the call is run with the finished document in front of them.
Three things. Three priorities, ranked in the order we'd attack them. One product-page recommendation, on the product you choose. Your next creative test, and the question it has to answer. The email comes back the same day you send it, or the next business morning, and it tells you yes or no. If it's a yes, the read gets done before the call, not on it. We go through the document live with your store on the screen, and the written summary follows the call, with every line labeled observed or hypothesis to test.
Then you'll have it ranked, in writing, with the reason the first one comes before the second, which is usually the part that's missing. We're not trying to surprise you. What you don't have is the sequence, and the sequence is what decides where the next dollar goes. And if we open your store and can't see three priorities worth a call, we say that in the email instead of booking one to fill an hour.
No passwords, no ad account access. We work from what's public. Your store, your PDPs and the ads you have live. Beyond that, we ask for numbers, and you choose which ones you open. If a deeper analysis later needs account data, we ask for read access through Business Manager, we tell you what we're looking at and why, and you can revoke it whenever you want.
It goes to the people reading your store and to the tools we use to receive and answer your request, and nowhere beyond that. We don't sell it, we don't trade it, and your numbers don't end up on a page like this one, for the same reason nobody else's are on it now. We use what you send to answer your request. You don't get dropped into an email sequence. Ask us to delete it and we delete it. Reply to the email you get back from us and it's done, and you get a note back when it's finished.
No. We don't give one. A guarantee on a number we don't control wouldn't be worth anything to you. What we do commit to is the scope in the answer above, and an email answer inside one business day, same day when we can, including when the answer is no.
Having an agency isn't a reason to skip this. If you want the problems fixed in the sequence they should be fixed in, send it, and forward what comes back with our name nowhere in it. We don't need to be in the thread to be useful. And run a test before you even talk to us. Ask your team what CAC a single order can carry. If the answer comes back with the math attached, you probably don't need us. If it comes back as a blended ROAS, that's the gap this is built to open.
We do. Paid acquisition and creative strategy are the business. Anything past the Teardown is its own engagement. A deep account audit, creative production, ongoing management. Nothing gets priced before the scope is written down.
Stores that haven't started selling yet, wholesale-only businesses, and anyone who needs a guaranteed return before they'll act. It is also a poor fit if you want the ads looked at with the price, the product page and the return rate off limits, or if nobody in the conversation can approve or carry out a change, because then what we find never becomes a decision. If you are unsure, send the store and we'll tell you.
Every dollar you put behind ads in the next 90 days runs through the same product page, the same size curve and the same order economics you have today. If the math doesn’t work on one order, it doesn’t work on a thousand.
Tell us where it’s stuck, and whether price, offer and the product page are yours to change.
Four fields. If it's a fit, you pick a time on the next screen.