Best Agencies for Google Shopping Ads: The Profit-Driven Evaluator Framework
Finding the "best agency for Google Shopping ads" is not about who shouts the highest ROAS in their case studies. If you run an ecommerce brand, you do not get to spend ROAS. You spend cash and you keep profit.
What You Will Learn
- Why ROAS alone can hide unprofitable campaigns
- How to use POAS (profit on ad spend) and margin data in your agency selection
- 7 concrete criteria to judge any Google Shopping agency
- Red flags that suggest your current partner is burning margin
- How JudeLuxe applies this in practice as a profit-driven ecommerce PPC agency
Why "Best Google Shopping Agency" Is the Wrong Question
Most comparison articles rank agencies on awards, client logos, headline ROAS numbers and package prices. None of that tells you if they can:
- Protect your margins
- Engineer profitable Performance Max campaigns
- Handle SKU complexity and varied profit profiles
- Scale spend without destroying contribution margin
The better question is: "Which agency can consistently turn my ad spend into profitable, scalable growth on Google Shopping and PMax?"
To answer that, you need a framework that starts from your P&L, then works backwards into campaign structure, feed architecture and bidding. That is what the Profit-Driven Evaluator Framework is for.
ROAS vs POAS: Why Most "Great Results" Are Quietly Unprofitable
Google's own documentation on Shopping ads makes it clear: the system optimises to conversion value and goals you specify, not your true profit. If you only give it revenue, you will get more revenue. Not necessarily more profit.
ROAS (Return on Ad Spend)
Revenue ÷ Ad Spend
Ignores: cost of goods, shipping, packaging, discounts, returns, payment fees, overheads
POAS (Profit on Ad Spend)
(Revenue − Total Variable Costs) ÷ Ad Spend
Accounts for true contribution margin per order
Same ROAS, Different Profit
Campaign A
5x ROAS, low margins
POAS: 1.1x
Campaign B
5x ROAS, high margins
POAS: 2.5x
A good Google Shopping agency will:
- Ask for your margin data
- Structure campaigns around profitability tiers
- Report profit contribution, not just revenue contribution
If an agency cannot explain how they would calculate and use POAS in your account, they are not "best" in any useful sense.
The Profit-Driven Evaluator Framework
Use this framework to decide if an agency is actually built for profit-driven Shopping and PMax, or just dressing up standard setups.
1Measurement and Strategy
Ask:
- • Do they work with POAS and contribution margin, not just ROAS and revenue?
- • Can they map Google Shopping and PMax to your P&L, LTV and inventory strategy?
- • Do they have a documented approach to incrementality, not just last-click attribution?
Good agencies will reference Google's own guidance on goal-based campaigns and value-based bidding, and explain how they adjust targets based on margin tiers and new customer vs returning customer.
2PMax and Shopping Engineering, Not Autopilot
Performance Max is powerful, but also a black box if you leave it alone. Industry commentary has repeatedly flagged concerns about transparency and over-reliance on AI-driven media buying.
Ask agencies:
- • How do you structure PMax asset groups and listing groups?
- • How do you prevent low-margin products from stealing budget in PMax?
- • What first-party signals and offline conversions do you feed back to Google?
A serious partner will talk about asset groups built around margin, category, AOV and lifecycle role; offline conversion imports and value rules for higher-value events; and clear separation between acquisition, cross-sell and retention roles.
3Feed and Data Systems
Google Shopping relies on your product data in Merchant Center. Titles, images, prices, product types and custom labels all feed the system.
Ask:
- • Who owns feed quality: you, them, or a specialist team?
- • How do they structure product_type and custom labels for bidding?
- • Can they show you a feed template with profit tiers and lifecycle roles already built in?
If they treat the feed as a static export rather than a controllable system, you will hit a ceiling fast.
4Commercial Alignment and Transparency
Finally, ask:
- • How do you get paid: fixed fee, percentage of spend, performance component?
- • Which KPIs go on page one of the report?
- • How do you handle "good ROAS, poor profit" situations?
You want an agency whose published positioning and content matches this profit-first view, not just whoever has the nicest "Our values" page.
Seven Criteria to Judge Any Google Shopping Agency
Here is a practical checklist you can use while shortlisting.
1Profit Measurement Built In
- • Can they show sample reports that include POAS, gross profit and margin tiers, not just ROAS and CPA?
- • Do they have a clear process for ingesting your margin and cost data?
2Profit-Tiered Campaign Architecture
Ask to see:
- • Campaigns separated by margin tier (for example A/B/C)
- • Separate profit roles: Acquisition, Volume, Retention, Clearance
- • Different bidding and budget rules per tier
If everything sits in one or two PMax or Shopping campaigns with a single global ROAS target, you already know the answer.
3PMax Engineering Credentials
Look for:
- • Documentation or case studies showing signal-based PMax setups
- • Use of offline conversions, value rules and customer lists
- • A testing roadmap for PMax (asset groups, audiences, creative packages, budget distribution)
4Feed Architecture and Custom Labels
You should see:
- • A clear schema for custom_label_0-4 that includes margin, lifecycle role and price band
- • Standardised rules for titles, descriptions and product_type
- • Examples of how they optimise feeds for different categories and markets
5SKU-Level Analysis and Decision-Making
Ask for a real (anonymised) example where they:
- • Cut back spend on a high-revenue SKU because POAS was weak
- • Scaled a high-margin SKU even though its ROAS looked average on the surface
- • Used SKU-level data to move products between campaigns and profit tiers
If they cannot talk about specific SKU-level decisions, they are probably optimising at the wrong altitude.
6Testing Discipline
You want to see:
- • A documented testing calendar
- • Clear hypotheses: "We are testing X to improve Y over Z period"
- • Experiments across feed, structure, bidding, creatives and audiences, not just tweaking budgets
7Reporting That Executives Can Actually Use
Review a sample monthly pack:
- • Does page one show profit, POAS and contribution by channel / campaign?
- • Are there "Keep / Kill / Scale" recommendations with commercial context?
- • Does it separate brand vs non-brand, new vs returning, Shopping vs PMax vs Search?
If reporting is a pretty dashboard with no decisions attached, treat that as a warning sign.
Red Flags That Your Current Agency Is Burning Profit
You do not have to be a PPC specialist to see trouble. Watch for these:
Everything is 'great' because ROAS is high, but gross profit in your P&L is flat
You are told 'PMax is a black box, we just have to trust it' with no mention of structured signals, feed work or account architecture
Your Shopping setup consists of one or two campaigns for the whole catalogue
They never ask for SKU-level margin or inventory data
Monthly reports talk about 'clicks, impressions and ROAS', but not margin, POAS or incremental new customer revenue
Every case study on their site is about ROAS, not profit or contribution margin
You cannot clearly see how much budget is going to high-margin hero SKUs vs low-margin 'vanity' products vs clearance or seasonal lines
If any of that feels familiar, you are not alone. Many brands discover this only when they run a proper profit audit of their Shopping and PMax activity.
Case Example: "Great" ROAS, Weak Profit
Here is a simplified real scenario from a DTC brand that moved to a profit-first setup.
Before: ROAS-Driven Approach
- • Account ROAS: 6.8x
- • Shopping + PMax combined, one main profit-blind structure
- • 900+ SKUs, widely varied margins
- • Net result: POAS around 1.1-1.2x
When we overlaid margin data at SKU level, we found:
- • Top 20 SKUs by ad spend generated only 8% of total profit
- • High-margin SKUs driving 40%+ of profit received less than 12% of ad spend
- • Several "hero" lines with glossy ROAS were barely breaking even per order
After: Profit-Tiered Architecture
We:
- • Divided SKUs into margin tiers (A/B/C)
- • Tagged products with custom labels for margin tier and strategy role
- • Built separate Shopping and PMax campaigns for each tier and role
- • Applied different bidding strategies and spend caps per tier
- • Rebalanced budget towards high-margin acquisition SKUs
Within 60 days:
- • Ad spend: roughly flat
- • Revenue: dipped slightly (8-10%)
- • Gross profit from Google Ads: increased by 30%+
- • POAS moved from ~1.1x to ~1.8x
ROAS fell on paper, but the P&L finally looked like growth instead of an expensive hobby.
How JudeLuxe Approaches Google Shopping and PMax
JudeLuxe is an ecommerce PPC agency that exists for exactly this problem: too many brands stuck in ROAS theatre, not enough engineers working on profit.
Profit-First Measurement
Every serious engagement moves quickly towards POAS, margin tiers and contribution views instead of surface-level ROAS
Signal-Based PMax
Campaigns are built around structured signals, offline conversions and value-based bidding, rather than 'let the machine run and hope for the best'
Engineered Feeds
Product feeds are treated as infrastructure, with custom labels and product types designed for bidding, not just for passing Google's checks
SKU-Level Control
High-margin products get protected budget, low-margin and clearance lines are ring-fenced or constrained
Transparent Reporting
Clients see where profit comes from and where it leaks, with clear Keep / Kill / Scale recommendations
If you want to see how your current Shopping and PMax setup performs on a profit basis, JudeLuxe offers a consultation focused on identifying hidden margin and scaling opportunities.
How to Run Your Own Profit-Driven Agency Comparison in 30 Minutes
Here is a simple, repeatable process:
1Shortlist 3-5 Agencies That Specialise in Ecommerce PPC
Look for:
- • Strong focus on ecommerce and Shopping
- • Content that talks about profit, margin and structure
- • Real case studies in your revenue band
2Send Them the Same Brief
Include:
- • Monthly revenue and ad spend
- • High-level product and margin overview
- • Your growth targets
- • Access to a limited read-only Google Ads or data snapshot, if you are comfortable
3Ask Them the Same Five Questions
- How would you bring margin and POAS into our Shopping and PMax strategy?
- How would you structure our campaigns and custom labels for profit?
- How would you handle PMax vs Standard Shopping for our brand and why?
- What would your 90-day testing roadmap look like?
- Can you show an anonymised example of how you have moved budget from high-ROAS / low-profit SKUs to more profitable ones?
4Score Answers Against the Profit-Driven Evaluator Framework
Give each agency a simple score out of 10 for:
- • Measurement and strategy
- • PMax and Shopping engineering
- • Feed and data systems
- • Commercial alignment and transparency
The "best" agency will be obvious once you compare the depth and specificity of the answers.
FAQs About Choosing a Google Shopping Agency
Do I need a specialist Google Shopping agency or will any PPC agency do?
If you have a small catalogue and simple margins, a generalist might be fine. Once you are dealing with hundreds or thousands of SKUs, varied margin profiles, and multiple markets and feeds, you want a team that lives and breathes ecommerce Shopping and PMax.
How do I know if an agency really understands Performance Max?
Check if they can explain how PMax works across Google's inventory (Search, Shopping, YouTube, Display, Discover), how they feed offline conversion and first-party data into the system, and how they prevent low-margin SKUs from hoarding budget. If their answer is just 'we like PMax, it performs well', that is not enough.
Should I ask agencies about awards and accreditations?
Awards and partner badges are fine as supporting signals, as long as the work behind them is aligned with your goals. Treat awards as a bonus, not as the main decision factor. Focus on whether their approach aligns with profit-first principles.
What is the difference between ROAS and POAS?
ROAS (Return on Ad Spend) only measures Revenue divided by Ad Spend. POAS (Profit on Ad Spend) goes further: (Revenue minus Total Variable Costs) divided by Ad Spend. Two campaigns can have identical ROAS but wildly different profitability.
How quickly can I expect to see results from a profit-first approach?
Most brands see meaningful profit improvements within 60 to 90 days of implementing proper margin-tiered campaign architecture. The timeline depends on catalogue size, data quality, and how far the current setup is from optimal.
Next Step: Run a Profit-First Audit Before You Switch
Before you change agencies, do one thing: get a profit-based view of your current Google Shopping and PMax performance. That means exporting item-level performance data, layering in your true product costs, calculating POAS per SKU and per campaign, and identifying which SKUs and campaigns contribute the most profit, not just revenue.
You can do this internally with your finance and growth team, or with a specialist partner. Once you have seen your true POAS and contribution by SKU, the phrase "best agency for Google Shopping ads" starts to look very different.