Google Ads PMax Budget, Campaign Structure, and Consolidation: 3 Real Questions Answered

These questions came from the Google Ads Masterclass community. They are the kind of questions that practitioners at every level wrestle with because Google keeps changing the answer, the algorithm keeps doing unexpected things, and the advice online ranges from outdated to actively wrong.

Campaign structure. Consolidation. PMax budget. Three topics that are deeply connected. Your structure decision affects how much you consolidate. Your consolidation decision determines how your budget flows. Your budget decision feeds back into whether your structure is working.

Here is how I think about each one, with the specific logic behind the recommendations rather than just the recommendations themselves.

The most common version of this question is: “Should I run one campaign per product category, one campaign for everything, or something in between?” There is no universal correct answer. But there is a correct framework for deciding.

The primary variable is budget, not product count. Most advertisers over-segment. They create five or six campaigns because it feels organized, but each campaign gets $20 to $30 per day. At that spend level, no campaign generates enough conversion signal for smart bidding to work. The algorithm spends its learning budget trying to figure out your account rather than optimizing it.

Smart bidding needs a minimum of 30 conversions per campaign per 30 days to function properly. If your total monthly budget is $3,000 and you are running five campaigns, each gets $600 per month. If your CPA is $80, that is 7.5 conversions per campaign per month. Smart bidding is effectively flying blind.

The fix is not to increase the budget. The fix is to reduce the number of campaigns until each one can generate enough signal. Two campaigns at $1,500 per month each will outperform five campaigns at $600 per month each in most situations, because the algorithm has enough data to actually learn from.

For most ecommerce stores under $10,000 per month in ad spend, the setup that works is: one Performance Max campaign covering all products, one brand Search campaign covering your brand exact match and phrase match keywords, and optionally one nonbrand Search campaign targeting your highest-intent product queries.

Three campaigns. That is it. The budget concentrates. The conversion signal concentrates. The algorithm can actually learn. Add complexity only when you have the budget and conversion volume to justify each new campaign independently.

Consolidation is one of those topics where the right answer looks wrong on the surface. You merge two campaigns into one and the combined campaign’s ROAS looks lower than the best-performing campaign did alone. But this is almost always a reporting artifact, not a real performance decline.

The underlying question is: are these campaigns competing for the same budget and traffic pool, or are they genuinely serving different strategic purposes?

Consolidation makes sense when two or more campaigns meet all three of these conditions. First, they share the same target ROAS or target CPA. If they have different efficiency targets, they have different strategic purposes and should stay separate. Second, they cover similar or overlapping product types. Two Shopping campaigns selling different product lines but targeting the same audience often do better combined. Third, neither campaign individually generates 30 conversions per month on its own.

The third condition is the most important. If a campaign cannot hit 30 conversions in 30 days on its own, it is not generating enough signal to run smart bidding effectively. Merging it with another campaign of similar intent creates a combined pool of signal that both can benefit from.

In the first two to four weeks after consolidation, performance will look volatile. The merged campaign enters a learning phase as the algorithm adjusts to the new budget level and expanded product set. This is expected and not a reason to revert.

By week six to eight, the combined campaign typically settles at better or equivalent efficiency compared to the best of the individual campaigns before consolidation, with higher overall volume. More signal means better decisions. That is the whole point.

There is no universal percentage. Anyone who gives you a number without knowing your account is guessing. But there is a framework for figuring out the right allocation for your specific situation, and it starts with one question: how much of your current PMax ROAS is coming from brand traffic?

If you do not have a brand campaign, PMax is absorbing your branded searches. Branded searches are cheap, high conversion rate, and easy to win. They make PMax look more efficient than it actually is at reaching new customers. Before you decide how much budget PMax deserves, you need to know how it performs on nonbrand traffic specifically.

Add a brand campaign with exact match and phrase match brand keywords. Add brand exclusions to your PMax campaign settings. Run both for four to six weeks. Then look at PMax ROAS again. That recalibrated number is what PMax is actually delivering for customer acquisition, not just brand capture.

In most accounts where PMax had been running without brand exclusions, the recalibrated ROAS is 30 to 50% lower than the original number. That does not mean PMax is performing badly. It means you now have an honest view of what it costs to acquire new customers versus brand-aware customers.

Once you have clean nonbrand data from PMax, use this as a starting point for budget allocation. Adjust from there based on your actual ROAS observations over 30-day windows.

Giving PMax 100% of your budget is a mistake most accounts regret. The reasons are practical. PMax gives you very limited visibility into where spend is going across Search, Shopping, Display, and YouTube. Without a Search campaign, you have no direct control over which queries you show up for at what position. High-intent, high-converting query types that Search captures efficiently get mixed into PMax’s allocation algorithm without any explicit prioritization.

Running a nonbrand Search campaign alongside PMax gives you a control mechanism. You can see exactly which keywords convert, at what CPA, with full transparency. This data informs how you build PMax asset groups, which audience signals to provide, and where diminishing returns appear as you scale.

PMax and Search work better together than either works alone. The allocation between them is an ongoing decision based on observed performance, not a one-time setup choice.

These three questions connect directly. Your structure answer sets the number of campaigns. Your consolidation answer reduces that number until each campaign can generate enough signal. Your PMax budget answer determines the allocation once the structure is right.

Here is how this looks as a concrete setup for an ecommerce store with $4,000 per month in Google Ads budget.