How to Set Up Google Performance Max for Ecommerce (2026)

how to set up google performance max for ecommerce product traffic

TL;DR

Performance Max (PMax) is Google’s AI-driven campaign type that serves ads across every Google channel, and it works best for ecommerce when you treat it as a signal-design problem rather than a set-and-forget solution. Your product feed is the single most important input. Start with a feed-only setup, enforce brand exclusions from day one, and don’t segment campaigns until you have at least 30 conversions per month. This glossary covers every term, setting, and concept you’ll encounter when building PMax campaigns for product traffic.

Why This Glossary Exists

Learning how to set up Google Performance Max for ecommerce product traffic means wading through a wall of jargon. Asset groups, listing groups, audience signals, feed-only mode, tROAS, Final URL expansion. The terminology is dense, and Google’s own documentation assumes you already understand most of it.

This page is built as a reference you can bookmark and return to. Every term is organized by category, defined in plain language, and paired with ecommerce-specific context so you know what each setting actually means for your store. Whether you’re launching your first PMax campaign on Shopify or auditing an existing setup on WooCommerce, this is the glossary that fills the gaps.

If you’re running ads across both Amazon and your own store, our unified ad strategy playbook covers how these channels work together.

For brands that want an expert to handle the setup, explore our D2C growth services covering Google, Meta, CRO, and analytics under one roof.

Campaign Fundamentals

Performance Max (PMax)

Performance Max is Google’s fully automated campaign type. You provide creative assets, audience signals, a product feed, and a conversion goal. Google’s machine learning decides which channel to show your ad on, which user sees it, and how much to bid, all in real time.

Why it matters for ecommerce: PMax is now the primary way to run Google Shopping ads. As of 2026, 71% of Google advertisers have adopted PMax, and ecommerce accounts with product feeds see the majority of their PMax spend flow to Shopping placements.

Common mistake: Treating PMax as self-managing. Practitioners at Search Engine Journal put it bluntly: “the only way PMax works is when you actively guide it, and it literally drains budget when you treat it like a self-managing campaign.” The quality of your inputs determines your outputs.

Google Merchant Center (GMC)

Google Merchant Center is the platform where you upload and manage your product data. Your Merchant Center feed is a structured file containing product titles, descriptions, prices, images, availability, GTINs, and other attributes formatted to Google’s Product Data Specification. This feed powers Shopping ads, PMax campaigns, and free product listings.

Why it matters for ecommerce: No Merchant Center feed, no Shopping ads. Period. Your GMC account must be linked to your Google Ads account before you can create a PMax campaign with product traffic. Shopify and WooCommerce both have plugins that sync product data to GMC automatically, but automatic syncs often produce mediocre titles and descriptions that need manual improvement.

Asset Group

Asset groups are the building blocks inside a PMax campaign. Each one holds a collection of creative assets (headlines, descriptions, images, videos), audience signals, and a product feed segment. Think of them as the PMax equivalent of ad groups in traditional campaigns.

Why it matters for ecommerce: You can create multiple asset groups within a single campaign, each targeting different product categories or customer segments. A skincare brand might have one asset group for serums and another for cleansers, each with tailored images and headlines.

Practical tip: Don’t create more asset groups than your data can support. Each asset group needs enough conversion volume to let the algorithm learn. Splitting too aggressively is one of the most common mistakes.

Listing Group

A listing group is the filter within an asset group that controls which products from your Merchant Center feed are eligible to show. You can subdivide products by brand, category, custom label, product type, or individual item ID.

Why it matters for ecommerce: Listing groups give you product-level control inside PMax. If you want one asset group to only promote products with margins above 60%, you’d use listing group filters (typically via custom labels) to include only those SKUs.

Feed-Only Asset Group

A feed-only asset group is one where you select the products you want to target but don’t add any other creative assets. No headlines, no images, no videos. Without text, image, or video assets, the campaign can only serve Shopping ads. It won’t create Search, Display, or YouTube placements.

Why it matters for ecommerce: This is arguably the most important setup concept for product-based stores. Research from Optmyzr’s State of PPC study found that campaigns using feed-only assets reported a median ROAS of 502%, compared to just 102% for campaigns using all asset types. The reason is simple: Shopping ads convert at far higher rates for product searches, and feed-only mode prevents budget from leaking into low-converting Display and auto-generated YouTube placements.

Recommended approach: Start feed-only for the first two to four weeks. Establish a Shopping performance baseline. Then layer in creative assets once that baseline is stable.

Final URL Expansion

When Google refers to Final URL expansion, it means the campaign can send traffic to URLs beyond the ones you specified, including product pages, category pages, or even blog posts. As of recent updates, opting into Final URL expansion also requires opting into “Text asset expansion,” which gives Google permission to modify your ad copy.

Why it matters for ecommerce: If left unchecked, PMax might send paid traffic to your blog, FAQ page, or about page, none of which are designed to convert a purchase. Always exclude non-commercial pages from URL expansion.

Practical tip: Create a URL exclusion list covering /blog/, /about/, /faq/, /contact/, and any other pages without a direct purchase path. Review this list quarterly. Landing page quality directly affects conversion rates, so make sure PMax sends traffic to optimized product detail pages.

Product Feed Terms

Product Feed / Data Feed

Your product feed is a structured file containing every product attribute Google needs: title, description, price, image URL, availability, GTIN, brand, and more. For ecommerce, the product feed is everything. It determines which products show in Shopping ads, how Google matches your products to search queries, and how your ads look across channels.

Why it matters for ecommerce: Optimized product titles alone can double or triple click-through rates and significantly boost impressions. Feed optimization often produces the largest ROAS improvement of any single change you can make. Before touching campaign settings, get your feed right.

Custom Labels (0 through 4)

Custom labels are five optional feed attributes (custom_label_0 through custom_label_4) that let you tag products with any values you choose. Google doesn’t use custom labels for ad matching. They exist purely for campaign segmentation.

Why it matters for ecommerce: Custom labels are what make margin-tier architecture possible. Tag products by margin group (high, medium, low), bestseller status, seasonal relevance, or clearance status. Then use listing group filters to route these segments into different asset groups or campaigns with different ROAS targets.

Example labeling structure:

custom_label_0: Margin tier (high, medium, low)
custom_label_1: Seasonality (evergreen, Q4, summer)
custom_label_2: Performance tier (bestseller, mid-performer, slow-mover)
custom_label_3: Promo status (full-price, on-sale, clearance)

Understanding contribution margin is essential for setting these tiers correctly.

Supplemental Feed

A supplemental feed lets you add or modify attributes in your primary feed without touching your ecommerce platform’s data. It’s an overlay that merges with your main feed in Merchant Center.

Why it matters for ecommerce: Supplemental feeds are a game-changer for agility. Need to A/B test new product titles? Append seasonal keywords? Override a description for a specific promotion? Do it in a supplemental feed instead of editing your Shopify or WooCommerce product data directly. Changes take effect at the next feed processing cycle without risking your core catalog data.

Product Data Specification (2026 Updates)

Google’s Product Data Specification is the rulebook governing what attributes your feed must contain and how they must be formatted. It gets updated regularly.

Key 2026 changes: Starting April 2026, Google introduced new product-level shipping attributes (handling cutoff time, minimum order value, loyalty shipping tiers), a new video link attribute for product feeds, and increased the minimum image resolution to 500×500 pixels across all categories. Feeds that don’t meet these requirements risk product disapprovals.

Feed Quality Score

Each product in your feed receives an internal quality score from Google. This score isn’t visible in the interface, but it directly affects how often your products appear and how much you pay per click. Products with high quality scores get more impressions at lower CPCs.

Why it matters for ecommerce: Feed optimization isn’t just about getting products approved. It’s directly correlated to campaign profitability. Factors that influence quality score include title relevance, image quality, price competitiveness, product availability accuracy, and attribute completeness.

Bidding and Budget Terms

Target ROAS (tROAS)

Target ROAS is a bidding strategy where you tell Google the return on ad spend you want to achieve, and the algorithm optimizes bids across all channels to hit that target. If you set a tROAS of 400%, you’re telling Google you want $4 in revenue for every $1 spent.

Why it matters for ecommerce: According to smec’s analysis of 3,000 retail campaigns, tROAS meets or exceeds targets in 84% of PMax campaigns. That’s a strong track record, but it depends on having enough conversion data and realistic targets.

Common mistake: Setting tROAS too tight too early. If you launch a new campaign with a 600% tROAS target and only get 10 conversions in the first month, the algorithm can’t optimize effectively. It will either underspend dramatically or deliver erratic results. Start without a tROAS target, let data accumulate, then layer one in.

Benchmarks by vertical:

Luxury goods: 800 to 1000%
Fashion and apparel: 500 to 700%
Electronics: 300 to 400%
Commodity and wholesale: 200 to 300%

Optmyzr’s Q1 2026 data shows mid-market accounts ($10K to $50K monthly spend) averaging 566% ROAS, while enterprise accounts ($50K+) average 377%.

Maximize Conversion Value

This bidding strategy tells Google to optimize for the highest total revenue without a ROAS floor. The algorithm spends your full daily budget and tries to generate as much revenue as possible.

Why it matters for ecommerce: This is the recommended starting bid strategy for new PMax campaigns. One important caveat: if you apply no tROAS constraint, Google automatically applies an internal tROAS of approximately 200%. So “unconstrained” isn’t truly unconstrained.

Recommended sequence: Launch with Maximize Conversion Value (no tROAS). Run for 6 to 8 weeks. Once you accumulate 30+ conversions per month, evaluate performance and then add a tROAS target based on actual data.

Minimum Viable Budget

The minimum daily budget needed for PMax to function effectively. The standard rule is 3x your target CPA per day.

How to calculate for ROAS-based campaigns: If your average order value is $100 and your target ROAS is 400%, your effective CPA target is $25. Minimum daily budget: $75. Going below this threshold starves the algorithm of data and produces unreliable results.

Why it matters for ecommerce: Underfunded PMax campaigns are one of the most common reasons stores see poor performance. If your budget is too low for your target CPA, the algorithm can never exit the learning phase properly.

Learning Phase

The initial period where Google’s algorithm gathers conversion data before it can optimize bids and targeting effectively. During this phase, performance is volatile and costs per conversion are typically higher than steady-state.

Why it matters for ecommerce: Plan for at least 6 to 8 weeks before expecting stable results. Google’s algorithm ideally needs 30 to 50 conversions per month to stabilize. Making drastic changes to budget, bidding, or asset groups during the learning phase resets the clock.

Practical tip: Don’t judge a new PMax campaign during its first month. If stakeholders need interim reporting, focus on impression share and feed metrics rather than ROAS.

If your ROAS numbers suddenly look off after setup, check whether a tracking break is the cause before blaming the campaign structure.

Conversion Volume Threshold

The minimum number of conversions needed for PMax’s algorithm to optimize effectively. The baseline is 30 conversions in the last 30 days, but performance improves significantly at higher volumes.

Data from smec’s study of 14,000+ campaigns:

Under 30 conversions per month: Expect inconsistent results
60 to 90 conversions per month: Stability improves, but hitting ROAS targets is roughly 50/50
150+ conversions per month: Campaigns reliably meet or exceed ROAS goals

Why it matters for ecommerce: This threshold should guide your campaign structure decisions. If your store generates 40 conversions per month total, running three separate PMax campaigns means each one gets roughly 13 conversions, well below the stability threshold. Consolidation beats granularity until you have the volume to support segmentation.

Data Density

Data density is the concentration of conversion signals within a single campaign. Spreading conversion data across too many granular campaigns prevents the algorithm from learning effectively, often resulting in lower ROAS.

Why it matters for ecommerce: This is counterintuitive for advertisers coming from Standard Shopping or Amazon PPC, where more granular campaign structures often improve control. In PMax, the opposite is frequently true. One campaign with 60 conversions per month will almost always outperform three campaigns with 20 each.

Campaign Structure Concepts

Single Campaign Structure

Running your entire product catalog under one PMax campaign. This is the recommended starting point for most ecommerce stores, especially those below 100 monthly conversions.

Why it matters for ecommerce: A single campaign maximizes data density, giving the algorithm the largest possible pool of conversion signals to learn from. You can still create multiple asset groups within that single campaign to separate product categories or test different creative approaches.

Hybrid PMax + Standard Shopping

The strategy of running Performance Max alongside a Standard Shopping campaign. Standard Shopping gives you granular control, keyword-level visibility, and manual bidding. PMax gives you automated reach across all channels and algorithmic discovery of new audiences.

A 2024 Optmyzr study across 24,702 PMax campaigns found that 82% of advertisers were running PMax alongside other campaign types. This hybrid approach is the 2026 consensus among top practitioners for established stores with sufficient conversion volume.

Budget split guidance: A typical split is 70/30 or 80/20, with PMax driving the volume (70 to 80% of budget) while Standard Shopping (20 to 30%) handles strategic tasks like clearance, margin protection, or specific product pushes where you need full control.

Who should use this: Stores with 60+ monthly conversions that want the reach benefits of PMax without giving up the transparency of Standard Shopping.

Margin-Tier Architecture

A campaign structure where products are grouped into tiers based on gross margin, and each tier runs with different ROAS targets.

How it works:

Tier 1 (highest margin, typically 60%+ gross margin): Gets its own PMax campaign with aggressive tROAS targets
Tier 2 (mid-margin, 35 to 60%): Separate campaign with moderate targets
Tier 3 (low-margin or clearance): Either a separate PMax or Standard Shopping with conservative spend caps

This structure ensures Google’s AI optimizes within economically viable boundaries. Portfolio data from Growth Engines shows an average 28% higher margin-weighted ROAS compared to single-campaign architectures.

Who should use this: Stores with 150+ monthly conversions, diverse product margins, and the operational capacity to manage multiple campaigns. Don’t attempt this if you’re below the conversion volume threshold.

For brands selling across Amazon and D2C simultaneously, our D2C scaling strategies guide covers how to coordinate these architectures across channels.

Audience and Targeting Terms

Audience Signals

Audience signals are the targeting “hints” you provide to PMax. Unlike traditional audience targeting, these are not hard constraints. They’re suggestions that help the algorithm find the right users faster. Google can (and will) show your ads to people outside your specified signals if it predicts they’ll convert.

Priority order for ecommerce:

Customer match list of past purchasers (highest value signal)
Website visitors with meaningful engagement (added to cart, viewed 3+ pages)
In-market audiences (adds breadth but is less precise alone)

Why it matters for ecommerce: Providing high-quality signals significantly accelerates the learning phase. One practitioner from Five Nine Strategy put it well: “Performance Max optimizes exactly for the signals you feed it. By default, those signals favor retargeting, existing customers, and view-through attribution.” Better signal design produces better results.

Customer Match

A first-party customer list uploaded to Google Ads containing email addresses, phone numbers, or mailing addresses of your actual buyers. Google matches these against its user base and uses the list as a starting signal for PMax.

Why it matters for ecommerce: One customer match list from real buyers is more valuable than a dozen broad in-market audiences. If you have an email list of 1,000+ past purchasers, upload it. This is the single highest-quality audience signal you can provide.

Custom Segments

Audiences you build from specific search terms people have used or websites they’ve visited (including competitor sites). For example, you could create a custom segment of people who searched for “organic face serum” or visited a competitor’s product page.

Why it matters for ecommerce: Powerful for prospecting, but takes testing. Start with competitor URLs and high-intent search terms related to your best-selling products. Monitor performance over 4 to 6 weeks before expanding.

New vs. Existing Customer Targeting

PMax offers the option to segment campaigns by new and existing customers. In theory, this lets you bid more aggressively for acquisition. In practice, it often backfires.

Practitioner warning: Jordan Digital Marketing shared a direct lesson: “Do NOT segment new and existing customers. I’ve learned the hard way that this particular segmentation will just drive up costs and won’t prevent new customers from showing up in the ‘existing’ segment anyway.” The algorithm’s classification of “new” vs. “existing” is imperfect, and splitting campaigns this way dilutes data density without meaningful targeting improvement.

Brand and Keyword Control

Brand Exclusions

Brand exclusions prevent your PMax ads from appearing on searches for specific brand names, including misspellings and foreign-language variations. They apply to both Search and Shopping placements within PMax.

Why this is non-negotiable for ecommerce: Without brand exclusions, PMax will heavily target your own branded searches because they convert at very high rates, making the campaign look more effective than it actually is. As PPC Hero practitioners note: “if 10% of your spend goes to brand at a 20x ROAS and the other 90% goes to everything else at a 0.5x ROAS, your blend is a 2.45x. Performance looks good on the blend, but in reality you’re incinerating 90% of your ad budget.”

How to set it up: In your PMax campaign settings, navigate to Brand Exclusions. Add your own brand name and common misspellings. If you’re also running a dedicated branded Search campaign, this prevents PMax from cannibalizing that traffic.

Negative Keywords in PMax

You can now add up to 10,000 negative keywords per PMax campaign directly in Google Ads.

Important caveat: PMax negative keywords only work for Search and Shopping inventory. They do not block ads on Display, YouTube, Gmail, or Discover. So if you add “free” as a negative keyword, it will prevent your Shopping and Search ads from showing on queries containing “free,” but your Display and YouTube placements are unaffected.

Practical tip: Start with obvious negatives (informational queries like “how to,” “DIY,” “review,” “free”) and add more based on Search Term Insights data over time.

Channels and Placements

Google Network Channels in PMax

PMax serves ads across every Google property:

Google Shopping: Where most of your ecommerce budget goes and where most conversions happen. Product listing ads driven by your Merchant Center feed.
Google Search: Text ads generated from your headlines and descriptions. Secondary channel for most ecommerce accounts.
YouTube: Video and image ads. If you don’t provide video, Google auto-generates one from your images. These auto-generated videos are typically low quality.
Display Network: Banner ads across partner websites. Broadest reach, lowest conversion quality.
Gmail, Discover, Maps: Additional placements with relatively low volume for most ecommerce accounts.

Feed-Based Spend Share

For healthy ecommerce PMax accounts, Shopping placements consume the majority of budget. The general benchmark is 60 to 80%, but some practitioners report even higher. smec’s internal data shows that 74 to 97% of PMax costs come from feed-based (Shopping) ads.

Why it matters for ecommerce: If your PMax campaign shows more than 30 to 40% of spend going to Display or YouTube, something is likely wrong. Either your feed is weak (causing the algorithm to avoid Shopping placements) or your asset group configuration is pulling budget toward non-Shopping channels. Running feed-only mode is the fastest fix.

Creative and Asset Terms

Ad Strength

Ad strength evaluates the combination of all assets in your asset group on a scale from Poor to Excellent. Google considers the quantity, variety, and relevance of your headlines, descriptions, images, and videos.

Important context for ecommerce: If you’re running a feed-only asset group (which is a valid and often superior strategy), it will always receive a “Poor” rating because there are no creative assets to evaluate. Don’t panic at this score if feed-only is your intentional choice.

Auto-Generated Video

If you don’t upload video assets to your asset group, Google will automatically create a video from your images, headlines, and descriptions. These auto-generated videos are almost universally poor quality, featuring awkward transitions, generic music, and no brand personality.

Practical tip: Either upload a real video (even a simple product demo shot on a phone) or run feed-only to avoid auto-generated videos entirely. A bad auto-generated video on YouTube can hurt brand perception even if it technically gets impressions.

Asset Performance Rating

Google rates individual assets (each headline, description, image, video) as Learning, Low, Good, or Best based on their contribution to campaign performance. These ratings appear in the asset detail view within each asset group.

Why it matters for ecommerce: Replace “Low” performing assets regularly. Keep “Best” performers running. But give new assets at least 2 weeks in “Learning” status before judging them.

Reporting and Measurement

Search Term Insights

The search terms report shows what queries triggered your PMax ads. As of recent updates, this report now lives at the campaign level instead of the asset group level, giving you access to significantly more data than before.

Why it matters for ecommerce: This is your primary window into what PMax is actually doing. Review it weekly. Look for irrelevant queries to add as negatives, high-performing queries to add to Standard Shopping campaigns, and branded vs. non-branded traffic splits.

Conversion Tracking: Google Ads Tag vs. GA4 Import

PMax relies entirely on conversion data to optimize. There are two main ways to track conversions:

Google Ads tag (primary): Placed directly on your site, tracks conversions natively in Google Ads. Generally provides faster, more complete data to the bidding algorithm.
GA4 import: Conversions tracked in Google Analytics 4 and imported to Google Ads. Useful if you want a unified analytics view, but introduces data latency and potential discrepancies.

Recommendation for ecommerce: Use the Google Ads tag as your primary conversion source for PMax bidding. Use GA4 for cross-channel analysis separately. Having clean GTM and GA4 implementation is critical because PMax can only optimize for what it can measure accurately.

ROAS Benchmarks

ROAS varies significantly by vertical, spend level, and product type:

Segment	Average ROAS
Mid-market accounts ($10K to $50K/mo)	566%
Enterprise accounts ($50K+/mo)	377%
Accounts under $2K/mo	280%
Accounts over $50K/mo	520%

Higher spend accounts generally achieve higher ROAS because they generate more conversion data, which feeds the algorithm’s optimization loop. The data density principle in action.

The Recommended Setup Sequence

Knowing how to set up Google Performance Max for ecommerce product traffic isn’t just about understanding individual terms. It’s about getting the sequence right. Practitioners at Store Growers recommend this order, and it aligns with what most experienced PMax managers advise:

Step 1: Get your product feed in order. Titles, descriptions, images. Do this before you touch campaign setup.

Step 2: Start with one PMax campaign covering your full catalog.

Step 3: Run feed-only for the first 2 to 4 weeks. Establish a Shopping baseline.

Step 4: Add creative assets once Shopping performance is stable. Images first, then video.

Step 5: Layer in audience signals. Customer match and website visitors first.

Step 6: After 30+ conversions per month, evaluate whether segmentation (multiple asset groups, hybrid Shopping, margin tiers) makes sense.

This sequence prioritizes data density and measurement clarity over complexity. Resist the urge to build an elaborate multi-campaign structure before you have the conversion volume to support it.

For ecommerce brands also managing Meta campaigns, our Facebook CAPI setup guide covers the tracking side for that channel.

Common PMax Mistakes for Ecommerce Stores

1. Ignoring the product feed. Campaign settings get all the attention, but the feed is the #1 performance lever. Weak titles, missing attributes, and low-resolution images cap your potential before you even set a bid.

2. Over-segmenting too early. Creating five campaigns with 10 conversions each instead of one campaign with 50. Consolidation wins until you pass the conversion volume threshold.

3. Skipping brand exclusions. Without them, PMax cannibalizes branded traffic from your other campaigns and inflates reported ROAS. Your blended numbers look fine while non-branded performance burns.

4. Setting tROAS immediately on launch. The algorithm needs data before it can hit a target. Launch with Maximize Conversion Value, let the learning phase complete, then add a tROAS.

5. Not excluding non-commercial URLs from Final URL expansion. If PMax is sending paid traffic to your blog or FAQ, you’re wasting budget on pages that don’t convert.

6. Judging performance during the learning phase. Six to eight weeks is the minimum for stable results. Making changes during this window resets the algorithm.

7. Ignoring channel distribution. If Shopping isn’t getting 60%+ of your PMax spend, investigate your feed quality and asset group configuration.

Next Steps

Setting up Google Performance Max for ecommerce product traffic correctly the first time saves weeks of wasted spend and frustrating optimization cycles. The terms in this glossary aren’t academic. They’re the exact settings, concepts, and decisions that determine whether your PMax campaigns generate profitable revenue or quietly burn budget.

If you want an expert assessment of your current PMax setup (or help building one from scratch), request a free brand audit. The audit covers your feed quality, campaign structure, bidding strategy, and conversion tracking, with a 90-day action plan delivered in 5 to 7 business days.

Ready to talk specifics? Contact our Google Ads team directly.

FAQ

How long does it take for a Performance Max campaign to start working?

Plan for 6 to 8 weeks before expecting stable performance. The learning phase requires 30 to 50 conversions per month for the algorithm to optimize bidding and targeting effectively. During this period, performance will be volatile. Avoid making major changes to budget, assets, or structure during the learning phase.

Should I use feed-only mode or add all creative assets to my PMax campaign?

For ecommerce stores, starting with feed-only mode is the recommended approach. Optmyzr’s data shows feed-only campaigns achieve a median ROAS of 502% compared to 102% for campaigns using all asset types. Feed-only restricts your ads to Shopping placements, which is where ecommerce conversions overwhelmingly happen. Add creative assets only after your Shopping baseline is stable.

What’s the minimum budget for a PMax campaign?

The standard rule is 3x your target CPA per day. If your average order value is $100 and your target ROAS is 400%, your effective CPA is $25, making your minimum daily budget $75. Going below this threshold starves the algorithm and produces inconsistent results.

How do brand exclusions work in Performance Max?

Brand exclusions prevent your PMax ads from showing on branded search queries (including misspellings). This is critical because PMax will naturally gravitate toward branded traffic since it converts at high rates, inflating your campaign’s reported ROAS. Set up brand exclusions in your campaign settings on day one. This is non-negotiable for honest performance measurement.

Can I run Performance Max and Standard Shopping at the same time?

Yes, and 82% of PMax advertisers do exactly this. The hybrid approach gives you PMax’s automated reach alongside Standard Shopping’s manual control and keyword-level visibility. A typical budget split is 70 to 80% PMax and 20 to 30% Standard Shopping, with Standard Shopping handling strategic products where you need granular control.

What are custom labels and why do they matter?

Custom labels (custom_label_0 through custom_label_4) are optional product feed attributes that let you tag products with any values you want, such as margin tier, seasonal relevance, or bestseller status. Google doesn’t use them for ad matching, but they’re essential for segmenting products into different asset groups or campaigns with different performance targets. They’re the foundation of margin-tier campaign architecture.

How do I know if my PMax campaign is spending too much on Display and YouTube?

Check your channel distribution in the Insights tab. Healthy ecommerce PMax accounts see 60 to 97% of spend on Shopping (feed-based) placements. If Display or YouTube is consuming more than 30 to 40% of your budget, your product feed likely needs improvement, or you should switch to feed-only mode to force spend toward Shopping.

Do negative keywords work in Performance Max?

Yes, you can now add up to 10,000 negative keywords per PMax campaign. However, they only block ads on Search and Shopping inventory. They have no effect on Display, YouTube, Gmail, or Discover placements. Start with obvious informational and irrelevant queries, then expand your negative keyword list based on weekly Search Term Insights reviews.