Performance Max
Built to Add Revenue —
Not Steal It From Shopping
On default settings, Performance Max spends your budget on brand terms you’d have converted anyway, low-intent Display placements, and YouTube views that don’t purchase. Built correctly — with brand exclusions, proper asset groups, strong audience signals, and margin-calibrated ROAS targets — PMax finds genuinely new buyers and consistently adds 20–30% incremental revenue on top of Shopping.
Independent agency — not affiliated with, endorsed by, or connected to Shopify Inc. or Google LLC.
⚡ Right now, if your PMax campaign is running on default settings, it is almost certainly spending 20–35% of its budget on brand terms that Shopping or organic would have converted anyway. Brand exclusions alone recover this budget instantly — and redirect it to genuinely new customer acquisition.
PMax on Default Settings Doesn’t
Add Revenue. It Reassigns It.
Google’s default Performance Max configuration is optimized to maximize Google’s reported conversion numbers — not your incremental revenue. Without brand exclusions, PMax targets your existing brand search traffic, takes credit for conversions that Shopping or organic would have captured anyway, and reports inflated ROAS that overstates its actual contribution to your business.
The result: your Shopping campaigns lose impression share as PMax competes for the same budget. Your overall account ROAS appears stable. But the actual new customer acquisition is costing you far more than it looks — because PMax ROAS is padded by brand conversions it had nothing to do with finding.
Built correctly — brand terms excluded, separate asset groups per product category, purchaser lists as audience signals, and ROAS targets tied to real margins — PMax stops competing with your Shopping campaigns and starts finding genuinely new audiences across Search, Display, YouTube, Gmail, and Maps that Shopping alone can’t reach. That’s when it adds 20–30% real incremental revenue. That’s the version we build.
What Correctly Built Performance Max Delivers
Real results from Shopify stores running PMax alongside properly structured Shopping campaigns — both built correctly and working together.
Incremental Revenue
Average additional revenue generated by correctly-built PMax on top of Shopping — not reassigned from Shopping, genuinely new buyers from channels Shopping can’t reach.
Brand Budget Waste
After brand exclusions are applied, PMax stops spending on terms you’d have converted through branded Shopping or organic — immediately recovering 20–35% of typical PMax budgets.
Blended CPA
PMax working correctly alongside Shopping reduces the blended cost per new customer acquisition as it finds complementary audiences Shopping auctions don’t reach.
First Improvement
Brand exclusion additions and asset group restructuring deliver measurable incremental revenue improvement within 30 days on accounts we take over and rebuild correctly.
Default PMax vs Correctly Built PMax —
Side by Side
This is the difference between PMax that steals revenue from your other campaigns and PMax that adds genuinely new revenue on top of them.
Default PMax — What Google Gives You
Correctly Built PMax — What We Build
Everything Required to Build
Performance Max Correctly for Shopify
Every element that separates a correctly-built PMax campaign from a default one — structured from the ground up for Shopify’s catalog architecture.
Brand Exclusions & Campaign Architecture
The most critical fix — stops PMax stealing credit from your other campaigns.
- Brand keyword exclusions applied at campaign level — your brand terms, common misspellings, and brand + product combinations all excluded from PMax
- Competitor brand terms assessed — evaluated for inclusion or exclusion based on conversion data and margin impact
- PMax and Shopping campaign hierarchy — structure configured so PMax and Shopping don’t enter the same auctions simultaneously
- Campaign priority settings — correct priority levels set across PMax and Shopping to control which campaign Google favors per query type
- Budget allocation between PMax and Shopping — spend distribution set based on historical conversion data and ROAS by campaign
- Incrementality monitoring — monthly check comparing PMax-attributed conversions to actual incremental revenue contribution
- Brand campaign integration — dedicated brand Search campaign structured alongside PMax to capture brand intent at correct cost
Asset Group Structure
One asset group for everything is why most PMax campaigns underperform — category-specific groups are required.
- Separate asset groups per product category — fashion, beauty, homeware, accessories each get their own asset group with relevant creatives
- Category-specific headlines — 15 headlines written per asset group using language relevant to that specific product category and buyer
- Category-specific descriptions — 4 long descriptions per asset group written for the specific purchase motivation per category
- Image asset upload — multiple images per asset group at all required aspect ratios (1:1, 1.91:1, 4:5) with product-relevant photography
- Listing group assignment — the correct products from your Shopify catalog assigned to each asset group for targeting alignment
- Asset performance monitoring — underperforming headlines and images identified monthly and replaced with tested alternatives
- Asset group expansion — new asset groups created for new collections, seasonal lines, or high-value products as catalog grows
Audience Signals & Search Themes
PMax with no signals burns budget learning what Shopping already knows. We give it a head start.
- Customer purchase list upload — your historical buyer list uploaded as the strongest audience signal available to PMax
- Cart abandoner list — high-intent non-converters uploaded as secondary audience signal for Smart Bidding optimization
- Site visitor lists — all website visitors segmented by page depth and session quality for tiered signal strength
- In-market audience signals — Google’s in-market segments most relevant to your product categories added as additional signals
- Search theme addition — 25+ relevant search queries per asset group added as search themes to guide PMax keyword territory
- Audience signal refresh — signals updated quarterly as new buyer data accumulates to keep optimization anchored to actual customers
- Lookalike signal strategy — customer list-based lookalikes used as prospecting signals for new market entry campaigns
ROAS Targets, Bidding & Reporting
Bidding calibrated to your real margins — not Google’s defaults that optimize for volume over profitability.
- ROAS target calculation — targets derived from your actual product margins per category, not Google’s suggested starting targets
- Listing group segmentation — products within PMax segmented by margin tier so bidding reflects real profitability per product group
- Learning phase management — ROAS targets and budgets set to minimize learning phase duration without triggering repeated resets
- Target ROAS vs Maximize Value assessment — bidding strategy selected based on conversion volume, account maturity, and target ROAS confidence
- Seasonal target adjustment — ROAS targets and budgets scaled correctly for peak periods without destabilizing Smart Bidding
- Weekly performance monitoring — ROAS, conversion volume, impression share, and budget utilization reviewed every week
- Monthly performance report — PMax ROAS, incremental revenue contribution, placement breakdown, and top-performing asset groups reported clearly
The 6 Google Channels Performance Max
Runs Across Simultaneously
This is what makes PMax different from Shopping — it reaches buyers across every Google-owned surface, not just Search and Shopping results.
Google Shopping
Product listing ads in Google Shopping tab and Search results — typically the highest direct-purchase channel within PMax and where the majority of eCommerce conversions occur.
Highest conversion volumeGoogle Search
Text ads triggered by relevant search queries — PMax uses search themes and auction signals to appear for non-brand, high-intent queries that complement your Shopping campaigns.
High purchase intentYouTube
Video ads shown to in-market audiences while they watch relevant content — reaches buyers in the awareness and consideration phase before they search, building brand familiarity that improves Shopping conversion rates.
Awareness & considerationGoogle Display Network
Banner and responsive display ads across millions of websites — used for remarketing to past visitors and reaching new audiences based on browsing behavior and in-market intent signals.
Reach & remarketingGmail
Native ads in Gmail promotions and social tabs — reaches buyers in a high-attention context, particularly effective for new product launches and promotional campaigns targeting competitor audiences.
High engagement contextGoogle Maps
Local inventory ads and store visit campaigns for Shopify stores with a physical presence — PMax can drive both online purchases and in-store visits simultaneously from a single campaign.
Local + online combinedWhy One Asset Group for Everything
Breaks Performance Max
Asset Groups Are PMax’s Creative Units — One Per Category, Not One for All
An asset group is PMax’s equivalent of an ad group — it contains the headlines, descriptions, images, and videos that Google assembles into ads, paired with the listing group (products) it promotes. When all your products share one asset group, Google serves the same creative signals regardless of whether someone is browsing running shoes, skincare, or furniture.
The result: lower ad relevance scores, worse creative performance, and no ability to optimize messaging per product category. Google can’t tell what “good performance” looks like for your sportswear when the same creative is also running for your homeware.
We build separate asset groups per product category — each with category-specific headlines, descriptions, and images. This is the structural fix that unlocks PMax’s ability to optimize creative delivery meaningfully.
Headlines (15 per group)
Short headlines (30 chars), long headlines (90 chars) — written specifically for each product category using buyer language
Descriptions (4 per group)
Long descriptions (90 chars) covering product benefits, trust signals, and purchase motivation specific to the category
Images (multiple ratios)
Square (1:1), landscape (1.91:1), portrait (4:5) — product photography relevant to each category at all required dimensions
Video (optional but recommended)
Short product videos for YouTube placements — 15–30 seconds with strong hooks; significantly improves YouTube ROAS when included
Asset Group Mistakes We Fix on Every Account
These are the specific asset group errors we find and fix on almost every PMax account we take over.
One asset group for the entire catalog — Google can’t differentiate creative relevance per product category, suppressing Quality Scores across all ad formats
Generic brand headlines used for all product categories — “Shop [Brand Name]” tells Google nothing about buyer intent, resulting in poor audience matching
Missing image asset ratios — only square images uploaded means PMax can’t serve landscape or portrait formats, limiting reach on Display and YouTube placements
No video assets — PMax auto-generates video from images when no video is provided, and auto-generated videos consistently underperform real product video on YouTube
Wrong listing group assignment — products not correctly assigned to their matching asset group, so sportswear creatives promote homeware products and vice versa
Stale assets never updated — same headlines and images running for 12+ months with no testing or rotation, causing creative fatigue and declining performance
From PMax Audit to Correctly Built Campaign
in 3 Weeks
Structured rebuild — brand exclusions first, asset groups second, audience signals third, then ongoing optimization every week.
Free PMax Account Review
We review your current PMax setup — brand exclusion status, asset group structure, audience signals, ROAS targets, and estimated brand budget waste. You see exactly what’s wrong and the impact it’s having on your account before deciding anything. Free, 30 minutes, no commitment.
Brand Exclusions & Campaign Structure (Week 1)
Brand exclusion lists built and applied immediately — your brand terms, common misspellings, and brand + product combinations all excluded. Campaign priority structure reviewed and corrected so PMax and Shopping aren’t competing in the same auctions. Budget allocation assessed and realigned between campaigns based on historical ROAS data.
Asset Groups Built Per Category (Week 1–2)
Existing single asset group replaced with separate groups per product category. Category-specific headlines and descriptions written for each group. All required image ratios uploaded per category. Search themes added per asset group. Listing groups correctly assigned so each asset group promotes the right products. Video assets briefed if available.
Audience Signals & ROAS Calibration (Week 2–3)
Customer purchase lists and cart abandoner lists uploaded as audience signals. In-market audience segments added per category. ROAS targets recalculated based on actual product margins. Bidding strategy assessed — Target ROAS applied once sufficient conversion volume exists, Maximize Conversion Value used during initial calibration. Campaign live with all signals in place by end of week 3.
Weekly Optimization & Monthly Incrementality Reporting
Weekly: asset performance review, ROAS tracking per asset group, search theme additions, budget utilization check. Monthly: full performance report covering PMax ROAS, incremental revenue vs Shopping baseline, channel breakdown (Shopping vs Display vs YouTube vs Search vs Gmail), top-performing asset groups, and recommended optimizations for the next month.
Results After Correctly Rebuilding Performance Max
Honest expectations — what stores consistently see after switching from default to correctly configured PMax.
Incremental Revenue on Top of Shopping
Average additional revenue generated by correctly-built PMax — not reassigned from Shopping, genuinely new buyers from non-Shopping channels.
First Incremental Improvement
Brand exclusions and asset group restructuring deliver measurable incremental revenue improvement within 30 days of rebuilding — often faster.
Shopping ROAS Improves Too
When PMax stops competing with Shopping in the same auctions, Shopping ROAS improves — the same budget now runs without PMax cannibalizing auction share.
Blended CPA Drops
PMax finding new buyers at different touchpoints than Shopping means fewer customers acquired through paid-only channels — lowering your blended acquisition cost.
The Specific Changes That Drive Results
What actually changes — and why each change produces measurable improvement.
- Brand exclusions stop inflated ROAS reporting — real PMax contribution becomes measurable and accurate for the first time
- Category-specific asset groups improve ad relevance scores — better creative matching reduces CPMs on Display and YouTube placements
- Audience signals shorten the learning phase — PMax trains on real buyer data instead of spending weeks finding your audience from scratch
- Correct ROAS targets stop Google optimizing for volume at unprofitable margins — spend concentrates on products where ROAS actually works for your business
- Search themes guide PMax into the right keyword territory — budget stops going to irrelevant queries before negative keywords can be built
- Shopping + PMax working together instead of against each other — total Google Ads revenue increases without proportional budget increase
Performance Max Management Is Right
for Your Store If…
PMax Running on Defaults
You have an active Performance Max campaign but set it up with Google’s default settings. Brand exclusions missing, one asset group, no audience signals — the most common setup we see.
PMax ROAS Looks Good But…
Your PMax reports high ROAS but you’re not sure how much is genuinely incremental. If brand exclusions aren’t in place, a significant portion of that ROAS is padded by brand conversions.
Shopping Campaigns Underperforming
Your Shopping ROAS dropped after launching PMax. Classic sign that PMax is cannibalizing Shopping auction inventory — a structure fix resolves this without pausing either campaign.
Multiple Product Categories
You sell across fashion, beauty, homeware, or other distinct categories. A single asset group can’t serve all of them well — category-specific groups are essential at this catalog scale.
Launching PMax for the First Time
You want to add Performance Max to an existing Shopping account. Building it correctly from the start is far easier than fixing the damage caused by default-settings launch.
Scaling Into New Markets
Expanding PMax into USA, UK, Australia, or Canada. Each market needs its own PMax configuration — not a copy of your home-market setup with different geo-targeting.
Your PMax Campaign Is Almost Certainly Running on Default Settings.
A free PMax review takes 30 minutes — we’ll check brand exclusions, asset group structure, audience signals, and estimated brand budget waste. You’ll see exactly what’s wrong before committing to anything.
Performance Max Questions,
Answered Honestly
Your PMax Is Almost Certainly Stealing From Shopping. Let’s Fix It.
Free 30-minute PMax review. We’ll check brand exclusions, asset group structure, and estimated budget waste — and show you exactly how much incremental revenue you’re leaving on the table.