Why structure matters more as you scale
A single campaign covering your whole catalog works fine when you have two or three products. Once you're advertising a dozen SKUs across several categories, a flat structure makes it nearly impossible to tell which products are profitable to advertise, control budget at the level that actually matters, or act on the search term report without wading through irrelevant data. Good campaign structure is really a reporting and control problem disguised as an organizational one.
The three common ways to structure campaigns
By SKU (or single hero product per campaign). Each campaign advertises one product (or one tightly related variation set, like different colors of the same item). This gives the cleanest possible budget control and reporting — you always know exactly which product a dollar of spend and a resulting sale belongs to. The tradeoff is more campaigns to manage as your catalog grows.
By category or product line. Campaigns group related products (e.g., all your kitchen products in one campaign, all your outdoor products in another). This reduces the number of campaigns to manage and works well when products within a group have genuinely similar price points and margins, so a shared budget and bidding approach makes sense. It works poorly when the grouped products have very different margins or conversion rates, since budget tends to flow disproportionately to whichever product in the group performs best, potentially starving others that also deserve exposure.
By match type. Especially once you've moved to manual targeting, separating broad, phrase, and exact match into distinct campaigns (or at least distinct ad groups) for the same product lets you bid very differently on each — typically higher on exact match (proven terms, worth paying more for) and lower on broad match (exploratory, worth paying less per click for the added discovery value).
A practical combined approach
Most sellers with a growing catalog end up combining these: SKU-level campaigns for hero products that justify dedicated budget and attention, category-level campaigns for a long tail of lower-volume products where individual-campaign overhead isn't worth it, and match-type segmentation within ad groups for any product where you're running both automatic discovery and manual precision targeting side by side.
Worked example
A seller with 25 SKUs across three categories (kitchen, outdoor, and pet products) structures their account as: one dedicated SKU-level campaign each for their top 5 best-selling products (with separate exact-match and broad-match ad groups within each), one category-level campaign covering the remaining 12 mid-tier kitchen and outdoor products, and one small automatic-only campaign for the 8 newest, unproven products purely for search term discovery before deciding whether any of them earn a dedicated campaign.
Naming conventions that save future headaches
A consistent naming convention (e.g., [Marketplace]-[SKU or category]-[targeting type]-[match type]) makes campaigns identifiable at a glance once you have more than a handful running, and makes bulk reporting and rule-based automation far easier to set up later. Retrofitting a naming convention onto dozens of already-running campaigns is tedious — it's worth establishing one before the account grows large.
Comparison table
| Structure | Best for | Main tradeoff |
|---|---|---|
| By SKU | Hero/high-volume products | More campaigns to manage |
| By category | Long tail of similar-margin products | Budget can skew to top performer in the group |
| By match type | Products with both auto and manual targeting | Adds complexity per product |
Mistakes to avoid
- Grouping products with very different margins into one category campaign, then wondering why budget always flows to the same one or two SKUs.
- Never adopting a naming convention until the account already has 40+ campaigns, making cleanup far more painful than doing it early.
- Splitting every single SKU into its own campaign before it has any sales history — dedicated campaigns are worth the overhead once a product has proven it's worth the attention, not before.
Best practices
- Give your best-selling, most profitable products their own dedicated campaigns as soon as they've proven themselves.
- Keep a long tail of low-volume or unproven products in shared category or automatic-only campaigns until they earn dedicated structure.
- Establish a naming convention before the account grows past a handful of campaigns.
FAQs
How many campaigns is "too many"? There's no fixed number — the right question is whether you can still act on each campaign's data individually. If you're not reviewing a campaign's performance at all, it's a candidate for consolidation.
Should every product get its own campaign eventually? Not necessarily — dedicated campaigns make sense for products with real volume and margin to justify the management overhead; low-volume products are often better served by a shared category or automatic campaign.
Does campaign structure affect the auction itself? No — the auction mechanics (see How Marketplace Advertising Auctions Work) are unaffected by how you organize campaigns. Structure is purely about your own budget control and reporting clarity.