Managing paid search for ten products is relatively straightforward. Managing it for 10,000 products across different categories, price points, margins, customer segments, and seasonal demand is a completely different challenge.
At that scale, campaign structure becomes more than an organizational preference. It determines how effectively marketers can control budgets, interpret performance, provide useful bidding signals, and decide which products deserve more investment.
That is why building paid search structures for complex product portfolios requires a balance between segmentation and simplicity.
Create too few campaigns and valuable differences between products disappear inside account averages. Create hundreds of tiny campaigns and data becomes fragmented, management becomes painful, and automated bidding may have less useful information to learn from.
The strongest structure sits somewhere between those extremes. It groups products according to meaningful business differences – such as margin, demand, intent, lifecycle stage, and customer value—while keeping enough data together for efficient optimization.
The objective is not a perfectly tidy account. It is a structure that makes profitable decisions easier.
Start With Business Economics, Not Product Categories
Most companies already have a product hierarchy.
An electronics retailer might organize its catalog into laptops, monitors, keyboards, phones, cameras, and accessories. That structure makes perfect sense for merchandising.
It may not be the best structure for paid search.
Two products in the same category can have completely different economics. One laptop may produce a 7% margin while another generates 25%. Some products may have high repeat-purchase potential, while others attract customers who rarely return.
Campaign architecture should therefore consider economic differences alongside merchandising categories.
A useful starting point is asking which product groups deserve different budgets, bidding objectives, or profitability targets.
If two categories have similar search behavior but very different margins, separating them may provide greater control.
This becomes especially valuable when using value-based bidding, which Google describes as optimizing toward conversion value or a Target ROAS instead of simply maximizing conversion volume.
Segment Products Only When the Difference Matters
Complex portfolios create a temptation to segment everything.
That usually creates another problem.
Imagine a retailer with 20,000 products divided into hundreds of categories, brands, price tiers, margins, and customer groups. Creating a separate campaign for every possible combination would quickly make the account unmanageable.
Instead, segmentation should have a reason.
Separate products when you need materially different budgets, ROAS targets, creative messaging, geographical treatment, landing experiences, or reporting.
For example, a retailer might separate:
High-margin best sellers from low-margin commodity products.
New products from mature products.
Seasonal inventory from evergreen inventory.
Premium categories from entry-level products.
That is meaningful segementation because each group may require a different commercial strategy.
Splitting products merely because they have different SKU numbers does not necessarily improve control.
Use Product Feeds as Strategic Infrastructure
For large ecommerce portfolios, the product feed becomes one of the most important parts of campaign architecture.
It should not be treated as a technical file that simply sends product titles and prices to Google.
Feed attributes can become management tools.
Google Ads allows advertisers using Shopping and Performance Max to organize inventory through listing groups based on Merchant Center product attributes. Listing groups determine which sets of products are included within campaign asset groups.
This becomes extremely useful when thousands of products need to be controlled without creating thousands of campaigns.
Good feed management also improves reporting.
Instead of seeing one massive pool of product performance, marketers can examine meaningful groups and identify where revenue, margin, or conversion efficiency differs.
For complex catalogs, feed architecture and campaign architecture should be designed together rather than managed by completely separate teams.
Use Custom Labels for Business Logic
Standard feed attributes describe what a product is.
Custom labels can describe what the product means to the business.
Google allows custom labels to organize products using internal criteria such as seasonality, sales performance, clearance status, or other attributes chosen by the advertiser.
These labels can then be used for monitoring, reporting, bids, and product inclusion or exclusion in Shopping and Performance Max.
That opens many possibilities.
A retailer could create internal labels for:
Margin tier.
Best seller status.
New product.
Clearance inventory.
Seasonality.
Strategic brand.
High lifetime-value category.
The labels do not need to appear to customers.
Their purpose is to turn business information into usable advertising structure.
For example, products labeled “high margin” and “best seller” might deserve different investment than products labeled “low margin” and “clearance.”
This creates a more commercially useful structure than relying only on product categories.
Keep Campaign Structure Compatible With Automated Bidding
Older paid search strategies often relied on very granular account structures because manual bidding required marketers to control individual keyword or product bids.
Modern automated bidding changes that logic.
Smart Bidding benefits from conversion and value information across auctions. Breaking campaigns into unnecessary fragments can sometimes leave each segment with less useful data.
That does not mean every product belongs in one giant campaign.
It means segmentation should solve a real business problem.
Google’s value-based bidding can optimize toward total conversion value or a Target ROAS, using auction-time signals to adjust bids based on expected value.
The advertiser’s job is to give that system meaningful objectives.
If high-margin products and low-margin products require dramatically different economics, separating them can make sense.
If several categories behave similarly and share the same goal, keeping them together may allow simpler management and stronger learning.
Modern structure is about controlling the right differences—not manually controlling every auction.
Organize Performance Max Asset Groups Around Meaningful Themes
Performance Max adds another structural layer through asset groups.
Google recommends organizing asset groups around themes, products, or services, with relevant creative assets included in each group.
For a complicated portfolio, that can help align creative messaging with inventory.
Imagine an outdoor retailer selling hiking equipment, ski gear, camping supplies, and cycling products.
Putting everything into one generic asset group would make relevant messaging difficult.
Separate asset groups could allow hiking products to use hiking imagery and messaging, while winter equipment receives seasonally appropriate assets.
However, marketers should avoid recreating their entire product database through hundreds of asset groups.
The structure should remain understandable.
A good test is whether each asset group represents a distinct audience need, product theme, or creative proposition.
If two groups would use essentially identical messaging and target the same commercial objective, separation may provide little value.
Protect Budget for Strategically Important Products
Large catalogs contain natural winners and losers.
A handful of products may generate most of the revenue, while thousands of others receive occasional demand.
If all products share the same budget environment, high-volume products can absorb spending before strategically important categories receive enough exposure.
Budget separation can solve this.
Suppose an online retailer has three groups:
Core best sellers generating predictable profit.
New products requiring market development.
Long-tail inventory generating occasional demand.
The retailer may want dedicated budget protection for new products even if their current ROAS is weaker because those products are strategically important.
Likewise, best sellers may deserve their own budget so they are not constrained by experiments elsewhere.
Campaign structure creates those boundaries.
The important point is to separate budgets according to strategic need rather than historical account habits.
Connect Product Margin With Conversion Value
Revenue can be a poor optimization signal when a portfolio contains products with widely different margins.
Suppose Product A sells for $800 with a $100 contribution margin.
Product B sells for $600 with a $220 margin.
Revenue-focused bidding may prefer Product A.
Profit-focused decision-making may strongly prefer Product B.
Value-based bidding becomes more powerful when the conversion values sent back to the advertising platform reflect business economics more accurately.
Google explicitly distinguishes value-based bidding from conversion-volume optimization and allows businesses to optimize toward the value that matters to them.
Perfect profit data is not always available.
Even approximate margin tiers can improve decision-making.
A business might categorize products as high, medium, or low margin, then use those categories to influence structure, reporting, or conversion values.
This moves campaign profitablity closer to the center of optimization.
Separate Brand, Category, and Product Intent Where Useful
Portfolio complexity does not come only from products.
Search intent also matters.
Someone searching for a specific product model behaves differently from someone searching broadly for a category.
For example:
“wireless noise cancelling headphones” represents category demand.
“Brand X Model Y headphones” represents product-specific demand.
“Brand X headphones” represents branded demand.
These searches may have different conversion rates, competitive intensity, and expected customer value.
Separating important intent groups can improve reporting and budget decisions.
The search terms report is particularly useful here because it shows the actual queries that caused ads to appear. Google recommends using it to discover successful phrases and identify less relevant searches that may need exclusions.
Rather than guessing how customers search across a huge catalog, marketers can use real query data to refine their structure.
Avoid Building Structures That Require Constant Manual Repair
Complex accounts often look impressive on spreadsheets.
Then reality arrives.
Products go out of stock. Prices change. New SKUs launch. Categories disappear. Promotions start and end. Margins shift.
A structure that requires someone to manually move products between dozens of campaigns every week becomes fragile quickly.
This is another reason feed-driven rules and custom labels can be useful.
Google allows custom labels to classify inventory using business-defined criteria, while listing groups can include or exclude the relevant product sets.
The more dynamic the catalog, the more valuable automation becomes.
For example, a feed-management process could automatically update margin tiers or clearance labels based on business data.
The paid search structure then reacts to those classifications without requiring someone to rebuild campaigns SKU by SKU.
Scalable architecture should reduce operational work, not create more of it.
Measure Performance at Several Levels
Complex portfolios need layered measurment.
Account-level performance answers whether paid search is producing overall value.
Campaign-level performance shows whether strategic budget groups are working.
Product-group and SKU-level reporting reveals which parts of the catalog drive results.
Asset-group reporting can add another layer for Performance Max. Google now provides asset-group reporting and asset-group URL options that can help advertisers measure how different groups contribute to campaign goals.
No single level tells the full story.
A campaign may achieve its ROAS target while a group of highly profitable products remains underfunded.
Another product group may generate huge revenue but poor margin.
Strong reporting lets marketers move between these levels without losing sight of business economics.
The aim is not collecting more dashboards.
It is finding the level where an actionable decision becomes possible.
Design the Structure to Evolve
The perfect paid search structure does not exist permanently.
Product portfolios change.
A small category can become a major revenue source. New brands appear. Margins shift. Seasonal demand creates temporary winners, while previously important products decline.
Campaign architecture should be reviewed as those conditions change.
Google’s current guidance also continues to evolve. For example, in 2026 Google updated how certain Smart Bidding strategies are labeled and adjusted behavior for some target-based campaigns that are limited by budget.
That reinforces a broader lesson.
Campaign structure should be based on durable business principles rather than one temporary advertising-platform feature.
Margins, intent, customer value, inventory priorities, and useful reporting will remain important even as platform mechanics change.
Build around those foundations and the account becomes much easier to adapt.
Building paid search structures for complex product portfolios is ultimately about deciding which differences deserve control.
Strong structures separate products when margins, customer value, budget priorities, search intent, or creative needs genuinely differ.
Product feeds, custom labels, listing groups, asset groups, and value-based bidding can then help manage large inventories without turning the account into thousands of disconnected campaigns.
The goal is not maximum granularity.
It is enough structure to make better commercial decisions while keeping data, automation, and operations manageable.
Start by grouping your portfolio according to business economics rather than SKU count alone. Identify where margin, strategic importance, or customer value changes significantly.
Those boundaries are usually the best place to begin restructuring.
