Shopping, Search, Performance Max and Microsoft Ads for car parts and automotive stores. Buyers search by make, model and part number, so the feed and the keywords have to speak that language before budget grows.
Live Google Ads data · updated monthly · through September 2026 Google Ads accounts we run, complete months only. Accounts run in GBP; figures converted to USD.
The platforms we work in every day
A driver does not want a brake pad. They want the one that fits their car. Every title, keyword and landing page is built to answer that search first time.
Titles rebuilt with brand, part type, the vehicles it fits and the manufacturer part number. GTINs and MPNs are checked on every product, so Shopping can match the exact search, not just the general one.
Search campaigns built around part numbers, vehicle models and the faults people describe when something goes wrong. Ads land on the page for that vehicle, so the buyer sees the right part straight away.
Parts are grouped by what they earn and how often they sell. Best sellers and high margin lines get the budget, while low margin, high volume parts get tighter targets so they do not drain it.
A car parts retailer we run. Google Ads data from complete months, client named by sector only. Accounts run in GBP; figures converted to USD.
The account's best complete month came in March, when $5,742 of spend returned $78,913. March sits outside any seasonal peak, which makes it the cleaner evidence of what the work on the account itself is doing.
Individual results vary. Accounts run in GBP; figures converted to USD. See every account.
Large catalogues and exact searches make car parts accounts easy to waste money in. These four come up most.
A title that names the part but not the cars it fits shows for broad searches and misses the exact ones. Fitment and part numbers in the title decide whether Shopping reaches buyers or browsers.
Thousands of parts in one product group means best sellers and slow lines share one target. Splitting by margin and sales history puts the budget where it returns most.
A part that does not fit comes back, and the sale Google counted is gone. Clear fitment on the landing page cuts returns and makes the conversion data worth bidding on.
Garages and home mechanics search differently and buy in different volumes. Mixing them hides which audience is profitable, so trade enquiries and retail orders are tracked and reported apart.
Product data first, because in car parts the title decides the search. Budget only grows once the feed can carry it.
Merchant Center issues, identifiers, fitment data and purchase tracking checked against real orders.
Make, model, part type and part numbers added at source or in a supplemental feed.
Shopping and Performance Max split by what parts earn, with part number Search built alongside.
Budget moved in measured steps to the parts and campaigns that return most, Microsoft Ads included.
Shopping, Search, Meta and TikTok for beauty brands, scaled into peak on profit.
IndustryPPC for haircare and salon brands, with non-brand Search built to beat brand.
IndustryShopping and Meta for fashion and fabric stores, with feeds built on size and colour.
With the lines that already sell and the ones that spend without selling. We fix titles and identifiers for those first, group products by margin, and work outwards through the catalogue, so the biggest gains come early rather than late.
Often, yes. Where the store cannot change its product data, titles and attributes are rewritten in a supplemental feed in Merchant Center. One parts supplier we run had no back-end site access, and every feed fix went through that route.
It can be. Microsoft Ads reaches people who search on Bing, and Shopping and Search campaigns can be imported from Google Ads as a starting point. We test it against the same profit targets and keep it only if it returns.
It depends on the range. Batteries and wipers tend to follow cold, wet weather, while other parts sell steadily all year. The best month in the car parts account we run was March, outside any season, so budgets are planned from your own sales history.
Yes. Trade and retail buyers are tracked and reported separately, with their own campaigns where volume justifies it. Trade enquiries can be imported as offline conversions, so bidding learns from accounts that order, not just from form fills.
Send a short brief about your store. A specialist reads the account with read-only access and replies with the three changes we would make first, yours to keep whether you hire us or not.
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