Product Listing Ads and retail media across Google, Microsoft, Amazon, Meta, TikTok, Pinterest, and eBay, plus dynamic retargeting, run on one clean product feed and managed to margin, not just ROAS.
Product Listing Ads (PLA) are the image-price-title units shoppers click before they ever read a description. They all run on one thing: a clean product feed. We engineer that feed, then put your products on every surface that sells for your category, and manage the spend to contribution margin instead of vanity ROAS.
Shopping & Retail Media Ads are product-focused advertising campaigns that show your actual items, with image, price, and title, across shopping surfaces and retailer networks like Google, Microsoft, Amazon, Meta, TikTok, Pinterest, and eBay. They run off a single product data feed and are managed to profit margin, not just return on ad spend.
A clean product feed (titles, images, prices, availability, identifiers) is submitted to each platform, which matches your listings to shopping intent and serves them as visual product ads and dynamic retargeting. Bids, budgets, and feed rules are then tuned per product against margin and stock, not a blanket account-wide return target.
For online retailers and e-commerce brands with a real product catalog who want more profitable sales, not just traffic; the outcome is trackable orders won at a margin the business can actually keep, plus recovered would-be-lost sales through retargeting shoppers who viewed but didn't buy.
A home goods store fixes its product titles and images in one feed, then runs Shopping ads across Google and Microsoft plus retargeting on Meta and Pinterest; high-margin, in-stock items get more bid weight while thin-margin clearance items are held back, so ad spend concentrates on the products that actually pay.
See if Shopping & Retail Media Ads is the right move for your team.
Request a free quoteIllustrative example, styled to show the kind of output we deliver.
Retail-media and product ads across Google, Amazon, and the marketplaces, driven by a clean feed.
Result More profitable product-ad spend across channels with consistent reporting.
Result Recovered ROAS and opened profitable new channels.
Examples are anonymized to honor client NDAs and edited to illustrate typical scope, outcomes vary by market, budget, and starting point.
Shopping ads aren't won at the bid, they're won in the feed: the data you send decides which queries you match, whether you show at all, and what each click costs. We engineer that feed, encode your margins into it, and let every platform's algorithm compete for your products on profit terms.
A Product Listing Ad is generated from your feed, so the quality and structure of that data sets a ceiling no bid can raise, a disapproved or mistitled product simply doesn't enter the auction. Once the feed is clean, encoding margin directly into it turns each platform's bidding algorithm into a profit engine: it will chase whatever value you feed it, so feeding profit instead of revenue makes the machine work for the number that matters. And because every surface reads the same feed, that work compounds across channels rather than being redone on each one.
A Product Listing Ad is the visual unit with your product image, price, and title that appears in shopping results and feeds. Unlike a text ad, it is generated from your product feed, so the feed, not the ad copy, is what mostly decides performance.
Google Shopping and Performance Max, Microsoft / Bing Shopping, Amazon, Meta and TikTok catalog ads, Pinterest, and eBay, plus dynamic retargeting through Criteo, Google, and Meta. We start with the two or three that fit your category and margins, not all of them at once.
The Amazon page goes deep on Amazon alone. This service is the cross-platform layer, one product feed feeding every other shelf, with Amazon included but not the whole story.
To profit. We segment products by contribution margin so spend concentrates on what actually makes money, instead of chasing a single blended ROAS that hides your losers.
Retargeting shows your products again to people who viewed or abandoned them. For most stores it can be among the most efficient spend you can run, when you measure incremental lift rather than last-click ROAS, so we wire dynamic retargeting (Criteo, Google, Meta) into the same feed.