How to Optimize Performance Max in 2026: Expert Answers to the Most Common Questions

Performance Max has evolved fast, and so have the questions around how to use it well.

In this blog, we bring you real-world insights from PPC experts who work with PMax every day. They break down what actually drives performance, where advertisers go wrong, and how to think about structure, bidding, and learning in 2026.

If you’re looking to make smarter decisions with Performance Max, this is where to start.

Section-1: Strategy foundations

What actually controls performance in a PMax Campaign?

When asked what truly drives Performance Max results, PPC expert Jyll Saskin Gales shared:

“My top three optimization levers are conversion settings, bid strategy, and assets.”

1. Conversion settings: “That’s the compass of the campaign.”

PMax only works on conversion-based bidding. There’s:

• No manual bidding
• No click optimization
• No view-based optimization

Your selected conversion goal determines how the system behaves. * * That decision alone can completely change how the campaign behaves.

If you choose a goal with:

• Too little volume → Smart Bidding struggles
• The wrong intent → Traffic quality shifts
• A mismatched objective → Performance looks unstable

Jyll’s point is simple: “Choosing the right conversion goal at that point in time can completely change what the campaign does.”

For small accounts, optimizing toward Begin Checkout instead of Purchase can help ramp learning. Once stable, you move toward final revenue goals.

2. Bid strategy: scale vs. efficiency

Your bid strategy sets direction:

• Maximize Conversions → Volume-first
• Target CPA (cost per acquisition) → Efficiency-first
• Target ROAS (return on ad spend) → Revenue efficiency

Simply checking or unchecking a target box can redirect the campaign’s entire trajectory.

If you set an aggressive target too early:

• Spend may throttle
• Learning slows
• Volume drops

It can look like Performance Max “isn’t working” when in reality, it’s just constrained.

Add monitoring without interfering with learning

Smart Bidding adjusts bids dynamically based on your conversion goal and strategy. Once those inputs are set, the system does the work.

But advertisers still need visibility into how spend is distributed across products, locations, or listing groups.

Value-based bidding allows you to assign different values to different types of conversions, so the algorithm optimizes toward what matters most to your business.

Beyond that, tools like Optmyzr’s Rule Engine can be used to define monitoring thresholds. For example, you can be alerted if certain listing groups or locations exceed cost limits you’ve predefined.

This doesn’t override Smart Bidding. It simply adds structured oversight, so you can review patterns without constantly adjusting campaign settings.

3. Assets: “That’s the Real Audience Signal.”

“The actual creative you use is the real audience signal in PMax.”

If your creative strongly appeals to one audience, the algorithm will find more of them.

That’s why duplicating the same assets across multiple asset groups doesn’t create segmentation, it creates redundancy.

And this is why she often sees a structural mistake during audits:

“I’ll see a PMax campaign with three asset groups, exact same assets in all three of them, and just different audience signals. And I just want to shake it. It’s just a signal. You’re doing the same thing three times over.”

Different audiences require different messaging. If the assets don’t change, neither does the outcome.

The Big 3 Framework for 2026

Before restructuring campaigns or questioning automation, focus here:

1. Conversion settings – Define success clearly
2. Bid strategy – Decide between scale and efficiency
3. Assets – Shape the audience you want the algorithm to find

Section 2: How to structure PMax campaigns in 2026

What does a “good” PMax structure look like?

Jyll explains that there isn’t one perfect PMax structure as the structure should reflect:

• Business size
• Product or service complexity
• Conversion goals
• Budget allocation needs

Large advertisers may run multiple PMax campaigns with layered asset groups. SMBs may run a single PMax campaign filtered to a few products. So scale changes structure, but it doesn’t change logic.

When should you create separate PMax campaigns?

Create a new campaign only when you need control over:

• A different conversion goal
• A separate budget or spend priority
• A distinct bid strategy
• Different locations or service areas
• A clearly different product or service category

If none of those change, you likely don’t need another campaign.

When should you create multiple asset groups?

Campaigns control how you spend. Asset groups influence who you reach.

Create a new asset group when:

• Messaging changes
• Audience intent differs
• The product focus shifts

Do not create multiple asset groups using identical assets with different audience signals.

Audience signals are hints, while creative drives outcomes.

A simple structural framework for 2026

• Create new campaigns when you need control over goals, budget, bidding, geography, or priorities
• Create new asset groups when you want to change messaging, audience intent, or product focus

Anything beyond that is usually unnecessary complexity.

Scaling structure without adding complexity

For larger retail accounts, even a simple structure can become operationally heavy when product feeds change frequently.

Rebuilding campaigns, reassigning products, or updating listing groups manually inside Google Ads can take significant time, even when the strategic framework itself remains the same.

Optmyzr’s Shopping Campaign Management tool is designed to support that framework.

It allows teams to bulk-create structured PMax Retail campaigns, sync them with Merchant Center feeds, and help apply predefined segmentation logic based on feed attributes or performance groupings.

The goal isn’t to create more campaigns, but to preserve intentional structure as the account scales. AI-driven structure suggestions are also available to provide a starting point that reflects your data and goals.

Adding guardrails without over-structuring

Once structure is in place, the challenge becomes maintaining quality without constant changes. Placement visibility is one common concern with Performance Max.

In Optmyzr, the Performance Max Placement Scope helps teams:

• Track placement trends over time
• Identify consistently irrelevant categories
• Apply placement exclusions where supported within Google Ads based on patterns and not impressions alone
• Automate guardrails as campaigns scale

This allows advertisers to stay aligned with business intent without undermining automation.

How Levitate Foundry improved PMax ROAS by 30%

Levitate Foundry, a digital growth marketing firm managing omnichannel brands, used placement exclusions as part of their Performance Max management workflow. The result was a 30% increase in PMax ROAS by systematically removing placements that fell outside their clients’ strategic intent.

The efficiency gains compounded over time.

In 2024, the team saved over 500 hours previously spent on manual budget management, and doubled the ad spend they managed during BFCM compared to the prior year.

As Hayden Merrill, Director of Paid Media at Levitate Foundry, put it: “Optmyzr has helped our team save hours each week spent doing routine tasks. That time saved has been invested in focusing on strategy which helped with both client retention and growing accounts.

👉 The Performance Max Placement Scope is available during Optmyzr’s 14-day free trial. Test it out today!

Section-3: Give smart bidding adequate time to learn

Should you pause Performance Max after two weeks of bad results?

Jyll doesn’t use time as a metric, she uses conversion volume.

The 30 conversions in 30 Days guideline

Her general Smart Bidding path is simple:

“Generally my smart bidding path, it’ll be like Maximize Conversions. I will even launch new campaigns on Maximize Conversions these days. And our goal is to get about 30 conversions in 30 days.”

That’s the stability benchmark.

If a campaign can generate roughly 30 conversions in a 30-day window, learning becomes more predictable. The system has enough signal to calibrate bidding intelligently.

But she’s quick to add context: “If we’re not going to get that, it can take longer.”

And sometimes much longer: “It can take two, three, four months for the thing to learn.”

Volume dictates speed, not impatience.

A real example: When PMax looked like it wasn’t working

Jyll shared a real example from a long-term coaching client.

They launched a Performance Max campaign focused on three specific products.

• Month 1: 2 purchases
• Month 2: 6 purchases

On-platform reporting suggested failure.

But then they zoomed out. Looking at overall product sales (not just attributed conversions), they saw something different.

“Overall sales for those products had skyrocketed. Not attributable to anything else. The only change; we weren’t doing any other email or social, we just launched PMax.”

Within a week of launch, total sales for those products rose significantly and stayed elevated. By month three, even in-platform reporting reflected profitability.

Performance Max touches multiple surfaces and attribution doesn’t always capture impact immediately.

Using micro-conversions to train the algorithm

If 30 purchases aren’t realistic, train the algorithm with micro-conversions:

• Add to Cart
• Begin Checkout

Avoid vanity metrics like page views.

Jyll’s phased approach:

1. Start with Add to Cart
2. Once Begin Checkout hits ~30 conversions, downgrade Add to Cart
3. Once Purchase reaches 30–50 conversions, shift fully

This preserves funnel visibility while improving signal quality.

What about very low-volume accounts?

Some businesses only generate:

• Three or four leads per month
• No CRM integrations
• Manual spreadsheet tracking

In those cases, Jyll is pragmatic: “Offline conversion tracking isn’t going to happen.”

Advertisers may need to rely on:

• On-page engagement
• Scroll depth
• Click-based signals

But she’s transparent about the limitation:

“Ultimately that might be a scenario where we know the bidding isn’t getting the information it needs. So at least let’s make sure the targeting is super dialed in.”

When signal quality is weak, audience and structural precision become even more important.

Review audience inputs when conversion signals are limited

In Performance Max, audience signals act as starting inputs. They help guide initial exploration, but they do not override creative, conversion goals, or bidding strategy.

When conversion volume is low or tracking is limited, it can be helpful to review whether asset groups include relevant audience signals aligned with your intended customer profile.

Optmyzr Express helps surface asset groups that don’t currently have audience signals applied, making it easier to review and update them where appropriate.

From there, you can:

• Add an existing audience signal from the account
• Create a new one using predefined interests or purchase intent audiences
• Build custom segments using top-performing search queries or manually added queries

The objective isn’t to narrow targeting aggressively, but to ensure the inputs reflect your strategic intent while Smart Bidding continues to learn.

Section 4: Channel reporting as strategic intelligence

What should you do with channel-level reporting?

Before Google introduced channel-level reporting, advertisers had limited visibility into where Performance Max budgets were actually being spent.

As PPC expert Kirk Williams explains, by “channel” we mean where ad dollars are allocated: YouTube, Search, Shopping, Display, Gmail, Discover, and Maps, every surface where PMax can appear.

That breakdown used to be largely hidden. And as Kirk puts it, Google’s reasoning was essentially: “If you can’t change it, why should you be able to see it?”

Performance Max was designed as a goal-driven system, set a target and let automation distribute spend across channels. Channel reporting didn’t change that structure. You still can’t manually reallocate budget between channels inside PMax.

What it changed is visibility.

And that raises the real strategic question: What should advertisers actually do with this data?

“YouTube ROAS is lower than search, should I turn it off?”

Kirk is clear: this is usually the wrong conclusion.

“You cannot expect something upper funnel like YouTube to really play at the same level as down the funnel like Search.”

Performance Max isn’t trying to make every channel equally efficient. It’s trying to hit your overall goal, within the constraints you’ve set around budget, targets, and products.

If it can efficiently hit those goals through Search or Shopping, it may naturally lean there.

That doesn’t mean YouTube doesn’t work.

It may simply mean:

• It hasn’t been meaningfully tested
• Budget constraints limited exploration
• Efficiency targets restricted expansion

As Kirk explains: “It’s not like PMax is this all-knowing thing that’s like, ‘Hey, we really don’t think YouTube will work.’ It could just be that because of the limitations, maybe it’s never even really aggressively tested that.”

Channel reporting is not a kill switch. It’s a diagnostic tool.

Using channel data to expand, not restrict

Kirk sees channel reporting as intelligence you can use beyond Performance Max.

For example:

• You notice YouTube is converting better than expected
• An auto-generated video starts performing
• Display placements show incremental reach

“That’s information that you could use to say, ‘Gosh, I’m going to take that to the client. YouTube actually seems to be working. Why don’t we allocate money for a test?’”

In other words, channel reporting informs where to invest next, not what to shut down.

It helps you decide:

• Where incremental budget might perform
• Where standalone tests make sense
• Where creative production is worth expanding

This is where channel reporting stops being PMax-specific and becomes broader marketing insight.

Understanding what Performance Max is actually doing

Kirk emphasizes that Performance Max is often doing exactly what it was designed to do:

“It’s trying to get you as many sales as possible. And if you’ve set some sort of efficiency, it’s going to try to hit that efficiency.”

If the system can:

• Lean heavily into Shopping
• Capture branded or high-intent demand
• Focus on a small set of high-performing products

…and still hit your targets, it will.

That doesn’t mean it’s maximizing long-term opportunity. It means it’s maximizing within the guardrails you set.

And that’s where human judgment matters.

“That’s where a good PPC marketer really has to see what are some ways that I could actually think through expanding this sort of thing.”

Channel reporting shows you where those expansion opportunities may exist.

Use channel visibility to inform testing decisions

Optmyzr’s PMax Channel Distribution widget breaks down Performance Max spend across Shopping, Display, Video, and Other channels. with “Other” including Search, Gmail, Maps, and Discover.

You can also toggle the analysis by different KPIs such as Conversions or Conversion Value to understand which channels are contributing most meaningfully.

This visibility supports better decision-making.

If Shopping is capturing the majority of spend, that may validate current structure. If Video or Display shows stronger conversion value than expected, that insight can inform dedicated testing or creative expansion outside of PMax.

Section-5: PMax vs. Standard Shopping — what works best?

Does PMax cannibalize Shopping?

Historically, yes. PMax often won priority.

Now, Standard Shopping and PMax compete more directly on Ad Rank in Shopping auctions which changes strategy.

Why Kirk’s team runs both

Kirk’s team doesn’t choose between them, as Standard Shopping still offers visibility into:

• Query-level insight
• Structured segmentation
• Greater filtering control

If Shopping can win on Ad Rank, they want it eligible to win.

Running both allows:

• PMax to distribute budget across channels automatically
• Shopping to retain structured search visibility
• Ad Rank to determine auction-level outcomes

Can you “Query Filter” PMax now?

“PMax now also has negative keywords that you can very easily add in.”

That introduces new strategic flexibility. Kirk and his team are actively testing: “Are there ways that we can almost query-filter PMax campaigns a little bit?”

It’s not full Search-level control, but it’s far more nuanced than early PMax.

You now have more levers and that changes how both campaign types can coexist.

What this means strategically in 2026

The question changes from “Should I run PMax instead of Shopping?” to “How do I structure both so they complement each other?”

A practical framework looks like this:

• Use PMax for automation and cross-channel reach
• Use Standard Shopping for query insight and tighter control
• Monitor Ad Rank behavior
• Test deliberately

Maintaining feed quality at scale

When running Standard Shopping and Performance Max campaigns, keeping your Merchant Center feed accurate and complete is important for maintaining a well-structured setup.

Optmyzr’s Shopping Feed Audit tool helps review your merchant feed and shopping campaigns across product, campaign, and listing group levels.

It highlights missing attributes, disapproved products, overlapping items across campaigns, empty or oversized product groups, and gaps like campaigns without negative keywords.

The audit also allows you to fix certain issues directly from the results page.

We suggest scheduling audits weekly or monthly to monitor feed health consistently and address issues before they accumulate.

A 5-minute Performance Max health check: when to optimize vs. when to wait

Dii Pooler, founder of Pooler Digital, recently shared a simple but effective weekly diagnostic framework in a Search Engine Land article:

• Is more than 80% of spend concentrated in the top 20% of products or asset groups?
• Have any placements exceeded 15% of total spend?
• Are my best-performing assets auto-generated rather than advertiser-uploaded?
• Did Search campaign CPCs increase after launching Performance Max?
• Am I seeing conversions from unexpected geographic locations?
• Are over 30% of conversions coming from brand terms, despite exclusions?
• Has any asset group performance rating dropped below “Good” for more than 7 days?

If you answer “yes” to two or more, Pooler suggests it’s usually a signal that deeper investigation or intervention is warranted, not necessarily that Performance Max is broken, but that it may be drifting outside your intended guardrails.

The Performance Max 2026 Optimization Checklist

We’ve covered strategy, structure, bidding, learning timelines, channel reporting, and Shopping coexistence.

But when you’re actually inside an account, what do you check first?

To make this practical, we’ve put everything into a structured, no-fluff checklist you can use during audits, launches, or weekly reviews.

It helps you quickly assess:

• Whether your conversion signals are strong enough
• If Smart Bidding is being constrained
• Whether learning has stabilized
• If structure is intentional or just complex
• Where guardrails may be needed

If you want a clear, step-by-step framework you can run through in 5–10 minutes, check out the full 2026 Performance Max Optimization Checklist.

Managing Performance Max more efficiently with Optmyzr

Performance Max has improved. There’s more visibility, better reporting, and stronger controls than before. But it’s still a complex campaign type that requires structure, clear goals, and ongoing monitoring.

That’s where Optmyzr can help. We offer workflows built specifically to make Performance Max easier to manage at scale — from placement monitoring and analysis of available search term and search theme data to structured campaign management and guardrails that prevent drift.

Want to see how it can help? Book a free 14-day trial today.

FAQs about PMax campaigns

1. What are Performance Max campaigns?

Performance Max is a Google Ads campaign type that runs across Search, Display, YouTube, Shopping, Discover, Gmail, and Maps using goal-based automation. Advertisers provide assets and conversion goals, and Google distributes ads across surfaces to meet those goals.

2. Where do Performance Max campaigns run?

Across Google’s full ecosystem: Search, Display Network, YouTube, Discover, Gmail, Maps, and Shopping placements when feeds are connected.

3. What’s changed in Performance Max in 2026?

Recent updates include:

• Channel-level reporting
• Expanded negative keyword controls
• Improved asset diagnostics
• Greater search term visibility

These updates reduce opacity and give advertisers better insight into how automation operates, without removing its efficiency advantages.