If you've ever stared at your Google Ads account running four campaigns simultaneously — a Dynamic Search Ads campaign for top brands and products, a Performance Max campaign with a handful of asset groups, and a couple of others — and wondered whether your campaign structure is actually working with you or against you, you're in excellent company. This is one of the most common inflection points for PPC practitioners: the moment when you have enough campaigns to create real complexity, but not yet enough clarity on how Google's auction, automation, and creative systems interact to make confident decisions.
Most practitioners think about Google Ads campaign structure in terms of budget allocation and bid strategy. That's important, but it misses something critical: your campaign structure is also your creative delivery architecture. Every asset group in Performance Max, every ad group in a Dynamic Search campaign — these are containers that tell Google's machine learning system what creative signals to associate with what audiences and queries.
When a practitioner in r/PPC describes running Dynamic Search Ads (DSA) for top brands and products alongside Performance Max (PMax) for everything else, they're describing a setup I see constantly with mid-size accounts. It's not wrong — but it requires intentional creative organization to avoid the system working against itself.
Here's something I've confirmed across hundreds of accounts with $1M+ monthly spend: DSA and PMax do compete with each other in certain auction scenarios, even within the same account. Google has confirmed that standard campaigns (including DSA) take precedence over PMax when there's an exact match on a keyword — but DSA doesn't use keywords. It uses page feeds or crawled website content. That creates a gray zone.
In practice, what I've observed across accounts:
The solution isn't to eliminate one or the other — it's to use campaign-level URL exclusions and page feed segmentation in DSA to clearly delineate territory.
This is where creative strategy becomes essential. In a traditional Search campaign, ad groups organize by theme and keyword intent. In Performance Max, asset groups organize by audience signal + creative narrative. These are fundamentally different organizational logics.
A common mistake I see: practitioners create PMax asset groups that mirror their old ad group structure — "Brand," "Category," "Competitor." But PMax doesn't serve based on keyword intent matching. It serves based on who the system thinks will convert, using your creative assets as the delivery medium.
Instead, think about asset groups like this:
As practitioners often discuss in the r/PPC community, Google's "Ad Strength" metric is controversial — and rightly so. It's a proxy signal, not a performance predictor. I've run campaigns with "Poor" ad strength that outperformed "Excellent" campaigns by 40% on ROAS. That said, the underlying components of Ad Strength do matter as creative inputs.
| Signal | What It Tells You | Target Benchmark |
|---|---|---|
| Asset-level performance ratings | Which individual headlines/descriptions are pulling weight | At least 2-3 assets rated "Best" per group |
| Impression share by asset group | Where Google is actually allocating delivery | No single asset group should eat >70% of PMax impressions unless intentional |
| Search term reports (Insights tab) | What query categories PMax is actually serving | Branded queries should be <30% of PMax volume if you have separate brand campaigns |
| Conversion lag-adjusted ROAS per asset group | True creative performance after attribution settles | Evaluate at 30-day windows minimum for most industries |
Google recommends maxing out your asset counts — 15 headlines, 5 descriptions, the works. I've found the real sweet spot is quality over quantity with a specific structure:
Based on the campaign mix described — DSA for top brands/products, PMax for everything with a few asset groups — here's how I'd think about organizing the system:
For a typical e-commerce or lead gen account with $15K-$80K monthly spend, I'd recommend 3-4 asset groups per PMax campaign maximum. More than that and you're diluting the learning signal each asset group receives. With Google's algorithm needing roughly 30-50 conversion events per asset group to optimize effectively, spreading budget across too many groups means none of them learn properly.
Audience signals in PMax are not targeting — Google can serve beyond them. But they are powerful creative alignment signals. For each asset group, layer:
A common question in the r/PPC community centers on how to actually test creative when Performance Max controls so much of the delivery. It's a legitimate frustration — traditional A/B testing logic doesn't map cleanly onto PMax's dynamic assembly system.
Here's the framework I use with accounts managing $50K-$500K monthly:
Launch with your best hypothesis on messaging. Don't change anything. Let the system accumulate data. Resist the urge to optimize early — changes before 30 days reset learning and you'll never know what actually worked.
Pull the asset performance report. Any asset rated "Low" for more than 3 weeks and generating meaningful impressions should be replaced. Don't delete — replace with a genuinely different creative angle, not just a reworded version of the same message.
For legitimate creative testing in PMax, use campaign experiments (the Experiments tab in Google Ads). You can run a 50/50 split between your current PMax campaign and an experimental version with different asset groupings. This gives you cleaner data than trying to read asset-level signals alone.
DSA is often treated as a "set and forget" campaign, but the ad descriptions you write still matter enormously. Because DSA auto-generates headlines from your landing pages, the description lines are your primary creative lever. Use them to:
For a four-campaign setup like the one described, budget allocation should follow conversion intent density, not revenue contribution. Here's the general framework I apply:
| Campaign Type | Typical Budget Allocation | Primary Goal |
|---|---|---|
| Branded Search (exact/phrase) | 10-15% of total | Defend brand, capture high-intent |
| DSA (top brands/products) | 15-20% of total | Capture long-tail, feed product-level data |
| Performance Max (primary) | 50-60% of total | Scale acquisition, full-funnel |
| Standard Shopping or RLSA | 15-20% of total | Efficiency on warm audiences |
These are starting points, not rules. Accounts in competitive categories with strong branded search volume often need to weight DSA and Brand campaigns more heavily early on to protect margin while PMax learns. Accounts in emerging categories where brand search volume is low should weight PMax and prospecting higher.
If you're running a similar four-campaign structure and want to get it operating at a higher level, here's exactly where to start:
The practitioners who get the most out of Google Ads' automation aren't the ones who fight it or blindly trust it — they're the ones who understand how to structure their creative signals, budget architecture, and campaign territories so the machine has clear, high-quality information to work with. Get those fundamentals right, and the algorithmic systems genuinely do become a force multiplier on your work.
