The case for JudeLuxe
Google Ads should be managed as capital allocation.
Every month, ecommerce businesses put tens or hundreds of thousands of pounds into Google Ads.
The normal question is: how do we improve the ROAS?
We think there's a more important one: where should the next £1 go?
Which product? Which customer? Which market? Which commercial objective? And should it be spent at all?
Because Google Ads isn't simply a marketing channel. It's one of the largest recurring capital-allocation decisions many ecommerce businesses make.
And it should be managed accordingly.
The argument is simple.
01
Revenue isn't profit.
Products have different margins, costs, return rates and customer economics. So the same ROAS can produce radically different commercial outcomes.
02
Products aren't commercially identical.
Some products should maximise contribution. Some should acquire customers. Some should scale. Some should release cash from inventory. Asking every SKU to achieve the same thing makes little commercial sense.
03
Those priorities change.
Margins change. Stock changes. Demand changes. Promotions change. Customer behaviour changes. So the advertising decision should change too.
Therefore
Google Ads should allocate investment according to the current commercial value of the opportunity.
That's the case for JudeLuxe. Everything else is execution.
Part one
Revenue isn't profit.
Google Ads is very good at measuring advertising outcomes. Spend. Clicks. Conversions. Conversion value. ROAS.
But an ecommerce business doesn't ultimately bank ROAS. It banks what remains after the economics underneath the transaction.
Consider two products. Both generate £500 revenue from £100 advertising spend. Google reports 5.0 ROAS for both.
| Metric | Product A | Product B |
|---|---|---|
| Revenue | £500 | £500 |
| Ad spend | £100 | £100 |
| ROAS | 5.0 | 5.0 |
| Left after product costs and advertising | £200 | £25 |
Google sees two 5.0 ROAS products. Finance sees two completely different investments.
Revenue describes the size of the transaction. It doesn't describe the quality of the transaction.
The blended number makes this worse.
Imagine an account containing one highly profitable product, one marginal product and one loss-making product. The profitable product subsidises the others. The blended campaign still hits target. The dashboard stays green. Everyone goes home happy.
Except the P&L.
Aggregate efficiency can hide individual economic failure. The larger the catalogue becomes, the easier that is to miss.
So we need another view.
Profit on Ad Spend.
ROAS remains useful. But we also want to understand what the advertising actually contributed. Instead of asking only how much revenue we generated for every £1 spent, we also ask how much profit we generated for every £1 spent.
That requires information Google doesn't inherently have. Product costs. Margins. Returns. Fulfilment. Customer economics. Commercial context.
Once those economics enter the decision, the account can look very different.
Part two
Products aren't commercially identical.
This sounds painfully obvious. Yet enormous ecommerce advertising accounts are routinely managed using blended efficiency targets.
Thousands of products. Different margins. Different inventory positions. Different demand. Different customer value. Different strategic importance. One target.
We don't think that makes commercial sense.
A product needs an objective before it needs a bid.
Product A
High margin. Strong stock. Growing demand.
Scale
Product B
High margin. Stable demand. Limited incremental opportunity.
Profit
Product C
Low first-order margin, but customers acquired through it have exceptional lifetime value.
Gateway
Product D
Strategically important branded demand with competitors bidding aggressively against it.
Protect
Product E
Eight months of stock remaining with a new range arriving shortly.
Recovery
Those products shouldn't be judged identically, because they aren't trying to achieve the same thing.
That's why we built BOI®. Bid On Intent.
The principle is simple: every SKU has one commercial job at a time. That job determines how we think about investment, efficiency, bidding, campaign structure, feed segmentation and measurement. And ultimately whether the product deserves another pound.
This changes the meaning of "good performance".
Imagine a Recovery SKU. We deliberately increase investment. ROAS falls. Margin percentage falls. More units sell. £150,000 of ageing inventory returns to cash before a new collection arrives.
Was performance worse?
Inside Google Ads
Potentially.
Inside the business
Absolutely not.
Part three
The objective doesn't stay still.
Even perfect product classification becomes useless if it never changes.
Ecommerce businesses move quickly. Stock sells. Margins get squeezed. Suppliers fund promotions. Competitors discount. Products go viral. Ranges reach end of life. New products launch. Customer cohorts behave differently.
Yesterday's correct advertising decision can be wrong today.
So BOI® isn't a permanent label attached to a SKU. The commercial job can change. The account should follow the business.
Margin falls?
The acceptable advertising economics change.
Stock becomes constrained?
Aggressive scaling may stop making sense.
Inventory starts ageing?
Cash recovery may matter more than margin preservation.
Repeat behaviour improves?
The business may rationally tolerate a higher acquisition cost.
Supplier funding appears?
The economics change again.
Demand accelerates?
Investment can move towards the opportunity.
The account adapts to the business. Not the other way around.
Your budget isn't a target.
Traditional PPC management often starts with "what's the budget?", then tries to allocate it. We prefer: where are the commercially attractive opportunities? Then: how much capital can rationally be deployed into them?
Those are not the same question.
If a business has allocated £200,000 this month, that doesn't automatically mean £200,000 should be spent. If only £160,000 can currently be deployed at acceptable economics, spending the remaining £40,000 isn't success.
Equally, if £250,000 could be deployed profitably while the account is artificially capped at £200,000, saving £50,000 isn't efficiency.
The job isn't to spend the budget. And it isn't to minimise spend. The job is to allocate capital where the marginal return justifies it.
Marginal return matters more than average return.
Imagine an account spending £100,000 at 5.0 ROAS. The temptation is to conclude we're getting £5 back for every £1, so let's spend more.
But that 5.0 is the average return on the money already spent. It doesn't tell us what the next £10,000 will produce.
Next £10k at 4.5
Still attractive
Next £10k at 3.0
Maybe still profitable
Next £10k at 1.8
Now it isn't
Scaling decisions should be based on marginal economics, not historical averages. That's how capital allocation works. Google Ads shouldn't be exempt because it has a colourful dashboard.
The same logic applies when reducing spend. A campaign averages 2.5 ROAS against a 3.0 target. The obvious response might be to cut it. But what if the lowest-performing £20,000 is dragging down £80,000 of highly profitable investment?
Blended averages hide the boundary between good and bad investment. Our job is to find that boundary.
This is why account structure matters.
Not because we enjoy reorganising campaigns.
Campaign structure should make commercial decisions easier to execute. That's it.
Google Search. Standard Shopping. Performance Max. Feeds. Custom labels. Audience signals. Brand controls. Campaign segmentation. Bid strategies. All of them are tools. None of them are the strategy.
The commercial objective comes first. Then we choose the Google Ads architecture most capable of delivering it.
Performance Max is a good example.
There is endless debate about whether PMax is "good" or "bad". We think that's mostly the wrong conversation. Performance Max is a buying mechanism. It can be extremely effective. But first we need to decide which products should enter it, what objective they should have, what customer we're trying to reach, how brand demand should be treated, what conversion signals Google receives, and how we'll determine whether the result was commercially valuable.
PMax doesn't remove the need for strategy. It increases the importance of defining the strategy before handing execution to the machine.
The feed is another example.
A product feed is often treated as technical housekeeping. We don't see it that way. For ecommerce advertisers, the feed influences what Google understands, which searches products can appear for, how products are grouped, what information customers see, and how effectively commercial data can be passed into campaign decisions.
The feed is where merchandising meets media buying.
That's why feed optimisation sits at the centre of our Google Shopping work. Not at the bottom of somebody's monthly checklist.
Measurement needs the same commercial context.
No single platform has the complete truth. Google Ads knows what happened inside Google Ads. GA4 provides another attribution view. Merchant Center knows the catalogue. Shopify knows what customers ordered. Your finance and ecommerce data know whether those orders were actually valuable.
We combine those views. Because the objective isn't finding whichever attribution platform makes performance look nicest. It's making better decisions.
What does JudeLuxe actually do differently?
The theory only matters if it changes behaviour. So in practice:
We bring commercial data into Google Ads decisions.
Margin. Stock. Returns. Customer type. Contribution. Business priorities.
We classify products by commercial purpose.
Every SKU gets one primary job.
We allocate investment according to those jobs.
Rather than allowing historical campaign structures to decide where money goes.
We change those decisions as the economics change.
Because a static strategy in a dynamic retail business eventually becomes wrong.
We measure what happened outside Google too.
Because advertising performance and business performance aren't the same thing.
Why JudeLuxe?
Because this is what we've chosen to specialise in.
We're not a full-service digital agency. We don't manage Meta. We don't provide SEO. We don't run email. We don't build websites.
We specialise in ecommerce PPC.
Google Ads. Microsoft Ads where appropriate. Shopping. Performance Max. Search. Feeds. Merchant Center. Measurement. And the commercial decision-making connecting those systems to the business.
The case isn't theoretical.
We've seen what happens when allocation changes.
We've seen the same problems repeatedly.
Across ecommerce accounts, the patterns are remarkably consistent.
The campaigns themselves aren't always badly managed.
Sometimes they're efficiently solving the wrong problem.
That distinction matters.
The question we'd ask about your account.
Not: can we improve your Google Ads? Almost every agency will tell you yes. Given enough settings, campaigns and keywords, everybody can find something to change.
Our question is: is your Google Ads investment currently going to the commercially best available opportunities?
If the answer is yes: good. You may not need us.
If the answer is no, then we want to know:
In one sentence
Google Ads should answer to your P&L.
Revenue isn't profit. Products aren't identical. Commercial priorities change.
So advertising investment should continuously move towards the products, customers and opportunities creating the greatest commercial value.
That's what we do.
Every SKU has a job. Every £1 needs a reason. And every decision should survive contact with the P&L.