Pay Per ClickSplitting the account by intent and by price
ServicesGoogle Ads · Microsoft Ads · Feed Management
A lane for every search
We split the campaigns by what the shopper typed into 3 groups.
- Searches for the retailer’s own name
- Searches for the designers it stocks
- Generic fashion searches with no name in them
Campaign priorities and negative keywords kept each search in its own lane, so the account stopped competing with itself. We bid hard on the retailer’s name and stayed disciplined on designer names: those searches carry huge intent, but the designers own those auctions, and paying top price for clicks the store couldn’t win made little sense. Once the name campaigns performed on Google, we mirrored them into Microsoft Ads.
Pricing tiers in the feed
We moved the feed from Feedonomics to DataFeedWatch and tidied it with Merchant Center feed rules, setting the right gender on every product and pulling out the gift cards, books and games. The client’s team fixed the stock and shipping settings on their side. Then we tagged every product with 2 custom labels: 1 for its price band, 1 for whether it came from a top designer, later narrowed to the top 25.
A single order could be $32 or $14,000, so one average target for the whole store fit almost no real product. Grouping products into price bands fixed that: each band got its own budget and return target, so we could back the bands and designers that paid off and pause the ones that didn’t. We also moved spend toward the US states where people actually bought, and started importing sales from Google Analytics as the conversion, so bidding learned from the store’s own numbers.
Bringing shoppers to the boutiques
Many luxury buyers want to try a piece on before they buy it, so we built a location campaign for each boutique, with its own targeting and ad schedule, and had all of them live by January 2022. A few weeks later the client asked us to raise the boutique campaigns’ budget by 50%.
We launched Performance Max in February 2022, as soon as it was available to the account, starting at $80 a day and scaling to $300 a day within the week. We pointed it at the price bands and the top 25 designers, the same signals the rest of the account already ran on.
Black Friday on the same budget
We planned Black Friday from the previous year’s data and kept the $30,000 monthly budget where it was.
- We eased spend in the first 2 weeks of November, pausing the segments and 12 regions that performed least, and saved that budget for Black Friday week.
- We put the top 25 designers first, with an average order value of around $700.
- We swapped search campaigns built on designer names for Performance Max with high-quality display creatives, so the products could shine without bidding head to head against the designers.
- We wrote creative and copy for 3 audiences: shoppers discovering the store, shoppers comparing pieces, and shoppers ready to buy before the deal ended.