How We Decide Which Products to Scale First Inside Google Ads
We do not launch an entire ecommerce catalogue into Google Ads and let the algorithm decide where the budget goes.
We choose a small group of products that already have the strongest chance of acquiring new customers profitably. We test those products through non-branded Shopping, separate them from branded demand and scale only when the recent data proves they can absorb more spend.
For most ecommerce brands, that means starting with the top three to five products.
Not the full catalogue. Not every colour, variation or low-volume SKU. The products with the clearest demand, strongest commercial performance and best chance of converting someone who has never heard of the brand before.
That focus gives Google cleaner data, gives us greater control and gives the brand a faster answer on where real scale exists.
TL;DR
We scale products in this order:
The product can convert profitably from non-branded traffic.
The product has enough search demand to support more spend.
The Merchant Center listing is strong enough to win the click.
The product performs in the brand’s strongest region.
Recent campaign data remains above the brand’s break-even target as spend increases.
We normally begin with three to five products inside a non-branded Shopping campaign. We exclude the brand name so the campaign has to acquire new customers rather than rely on people already searching for the business.
Once a product proves it can acquire customers profitably, we increase the budget in controlled steps and expand into additional regions, campaigns and audiences.
We scale products that can win without branded demand
The first question we ask is not:
Which product generates the most revenue?
We ask:
Which product can acquire a customer who is not already searching for the brand?
That distinction changes the entire account.
A product can look highly profitable when most of its sales come from branded traffic. Those customers already know the company. They may have seen the brand on Meta, received an email, visited the website before or heard about it through another channel.
When they search the brand name on Google, the buying decision is already well thought.
That revenue matters, but it does not prove the product can scale through Google.
To test true acquisition strength, we place the product inside a non-branded Shopping campaign and exclude searches containing the brand name.
The product then has to compete on its own merits.
The customer sees the image, title, price and brand next to competing products. They are not searching specifically for us. They are searching for the category or solution.
That is the traffic we use to decide whether a product deserves more budget.
In one account we scaled from zero to $369,000 in under 90 days, 87% of the revenue came from non-branded terms. Only 13% came from branded campaigns.
That split mattered more to us than the headline revenue alone.
It showed that the account was not simply collecting demand created elsewhere. The products were reaching people who were actively looking for the category but had not already chosen the brand.
A product that performs only when the customer already knows the business is not our first scaling product.
We still protect and capture branded traffic through separate branded Search and branded Shopping campaigns. But we do not allow that traffic to inflate the performance of the campaigns responsible for new customer growth.
When brand and non-brand are mixed, we lose the ability to see what the product is actually doing.
When they are separated, the decision becomes clearer.
We start with three to five products, not the entire catalogue
A large product catalogue creates the temptation to advertise everything immediately.
We avoid that.
When we spread an early budget across dozens or hundreds of products, most of those products receive too little traffic to prove anything. Google concentrates spend unevenly, weak products dilute the data and the strongest products may not receive enough budget to scale.
We begin with the best three to five products.
In some accounts, we may test up to 10. But the principle remains the same: focus the early budget on the products with the strongest evidence behind them.
That evidence can come from existing sales, Meta performance, website conversion data or prior Google Ads results.
We are looking for the products that already demonstrate:
● Clear customer demand
● Strong conversion performance
● A competitive offer
● A price customers accept
● Enough transaction volume to produce reliable data
For a one-product or hero-product brand, the decision is straightforward. We can put the primary product into the initial Shopping structure and focus on proving the channel.
We used this approach with a new brand selling one core product with a few variations.
The brand had no meaningful Google Ads history, no established branded search demand and no major Meta presence. We started with a simple structure centred on non-branded Shopping.
In under three weeks, the account generated approximately $26,000 in revenue from about $5,000 in spend at a reported 4.7x return on ad spend.
The result did not come from giving Google more products.
It came from giving Google a clear product, a clear market and a clear campaign objective.
For a larger catalogue, we apply the same principle.
We isolate the products that already have the best commercial case and give them enough budget to generate meaningful signals.
Once those products prove themselves, we can introduce the next group.
This creates a controlled expansion rather than an account where every SKU competes for the same limited budget.
It also makes underperformance easier to identify.
When a campaign contains five products, we can see which product receives the clicks, which product converts and which product fails to gain traction.
When a campaign contains 500 products, weak and strong performance become harder to separate. Google may continue favouring products based on early data while other potentially strong products receive almost no test.
We want each scaling product to receive a fair opportunity.
The product needs to win in the strongest region first
We do not launch every product into every country at the same time.
We begin in the region where the brand already has the strongest operational and commercial position.
That is normally where the business has:
● The most existing sales
● The strongest conversion rate
● The clearest customer demand
● The most reliable shipping setup
● The greatest brand recognition
In the new-brand account we scaled from zero, Australia was the primary market.
We therefore placed most of the early budget into an Australian non-branded Shopping campaign. The United States, United Kingdom and Canada were separated into another campaign and given less budget while Google gathered data.
Australia performed more strongly, so we continued allocating more spend there.
As the secondary markets developed, we increased their budgets and prepared to separate individual countries into their own campaigns.
This regional separation allows us to judge the product accurately.
A product may scale strongly in Australia but struggle in the United States because the competition, pricing, shipping times or customer expectations are different.
If all countries are mixed into one campaign, the stronger region can hide the weaker ones. The campaign may appear profitable overall while one country consumes the budget inefficiently.
We keep the primary region separate so it can scale without being restricted by slower markets.
Then we test expansion deliberately.
The same product may eventually become a strong international seller, but it first needs to prove itself where the brand has the greatest advantage.
A strong product still needs a strong Merchant Center listing
We do not scale a product until the Google Merchant Center listing gives it a fair chance to compete.
Shopping performance depends heavily on the feed.
The customer does not initially see the full product page. They see a compact listing containing the image, title, price, brand and supporting information Google chooses to display.
If that listing is weak, the product can lose the click before the website has any opportunity to convert the customer.
We review four areas before deciding that a product has failed.
The title needs to match how customers search
The title should clearly identify the product and include the attributes that matter to the buying decision.
That can include:
● Product type
● Brand
● Material
● Size
● Colour
● Key feature
We do not add irrelevant keywords simply to make the title longer.
The goal is to help Google match the product with the correct searches and help the customer understand the offer immediately.
A vague internal product name may make sense on the website but perform poorly in Shopping.
A customer does not search for the product using the language inside the company’s inventory system. They search for what the product is and what problem it solves.
We write titles around that demand.
The image needs to earn attention
We test product-only images against lifestyle images.
Neither format wins automatically.
A clean product image can make the offer easy to understand and compare. A strong lifestyle image can show the product in context and create a more emotional reason to click.
The right image depends on the category, market and product.
We test rather than assume.
The description needs to expand relevance
The description gives us room to include relevant product information that does not fit naturally into the title.
We use it to explain features, use cases, materials and other details customers search for.
We keep the language specific.
Overloading the description with unrelated keywords can push the listing into irrelevant searches and waste the budget.
The feed needs to work in every target country
A product is not ready to scale internationally if the feed is incomplete outside the home market.
We check:
● Product approval
● Currency
● Shipping costs
● Delivery times
● Availability
● Required business information
● Refund and policy details
In one large account, the feed worked correctly in Australia but failed across other target countries. That prevented the products from accessing traffic the brand was already capable of serving.
Fixing the Merchant Center setup was a necessary part of unlocking the additional scale.
We do not label a product a poor performer until we know the listing and feed are working correctly.
We use Shopping as the main product-scaling engine
For ecommerce, our first product-scaling campaign is normally non-branded Shopping.
Shopping gives the customer the information required to compare products immediately.
They can see the product itself, the price and the brand before they click. That makes Shopping better suited to ecommerce acquisition than relying only on standard text ads.
Search still has a role.
We use non-branded Search to capture additional demand from customers who prefer text results or use highly specific product queries.
But Search normally receives less budget than Shopping in our ecommerce structures.
In the account that reached $369,000, Shopping produced the majority of the revenue. Non-branded Search acted as a secondary layer that captured demand Shopping did not convert.
We then used separate campaigns for other roles:
● Branded Search and Shopping protected existing demand.
● PMax supported remarketing and additional placements.
● Demand Gen expanded the audience after the core campaigns began reaching diminishing returns.
We do not ask every campaign to perform the same job.
Shopping proves whether the product can acquire new customers.
Brand campaigns protect people already searching for us.
PMax brings interested users back and expands controlled coverage.
Demand Gen creates additional demand once the account has enough data and scale to support it.
This separation tells us whether the product itself deserves more budget or whether performance is being carried by easier traffic.
We scale from recent data, not one strong month
Once a product begins performing, we do not immediately double the budget.
We first confirm that the result is current and repeatable.
A 30-day view can hide a recent decline.
The first half of the month may have been strong while the latest seven days have fallen below target. Looking only at the full period creates an average that no longer reflects current performance.
We compare multiple windows:
● Last seven days
● Last 14 days
● Last 30 days
● Longer periods where the buying cycle requires them
We want the product to remain above the commercial target in the recent data, not only in the historical average.
The target is tied to the economics of the business.
In the accounts used for these frameworks, we used return on ad spend as the immediate scaling KPI because the brands had clear break-even thresholds.
When performance remained above the required target, we increased the budget.
When it fell below the target, we held or reduced spend until the campaign recovered.
Our standard budget increase is 15% to 20% at a time.
That gives Google room to adjust without forcing a sudden change in auction behaviour.
There are some exceptions.
During Black Friday or another short, high-demand period, we may move faster because waiting would mean losing demand that cannot be recovered later.
In one account, we increased daily spend from roughly $1,000 to $2,500 in approximately 18 days around Black Friday.
The account added $1.05 million in revenue from $33,000 in additional spend over the 30-day period while reported return on ad spend increased.
We scaled aggressively because the feed, structure, tracking and campaign targeting had already been repaired.
The product and market were ready.
We do not use exceptional results as permission to scale every campaign aggressively.
We earn the right to scale by fixing the foundation first.
We do not scale a product because Google says it is limited by budget
“Limited by budget” is not a scaling strategy.
It tells us Google can spend more. It does not tell us that the additional spend will remain profitable.
We increase the budget when the product shows all of the signals we need:
The non-branded campaign is acquiring customers above the break-even target.
The recent seven- and 14-day performance supports the longer-term result.
The product feed is accurate.
The listing is competitive.
The strongest region still has additional demand.
The business can support the increased sales.
Only then do we push.
A campaign can be limited by budget and still be a poor place to invest the next dollar.
Google’s objective is to spend the available budget and generate the conversion outcome we provide.
Our objective is profitable business growth.
Those two goals overlap only when the account structure and commercial target are clear.
How we decide which product comes next
After the first group of products proves itself, we do not automatically add the next bestseller.
We review where the next strongest opportunity exists.
Sometimes the answer is another product.
Sometimes the better move is to keep the same product and expand into a new region.
Sometimes we introduce a new angle for the same product.
In one account, we created an additional product listing around a Mother’s Day gifting angle. The underlying product remained the same, but the listing and campaign gave Google a more relevant offer for seasonal demand.
That allowed us to reach searches and audiences connected to Mother’s Day gifts without changing the core product.
We think in terms of scalable opportunities, not just SKUs.
The next move can be:
● A new product
● A new market
● A new use case
● A seasonal angle
● A new audience
● A broader campaign type
We choose the option that adds the most credible new demand without weakening the campaigns already working.
Our recommendation
Do not place your entire product catalogue into one campaign and wait for Google to identify the winners.
Start with the three to five products that already have the strongest evidence behind them.
Place them in a non-branded Shopping campaign.
Exclude your brand terms so you can measure whether those products acquire genuinely new customers.
Launch in your strongest region.
Fix the Merchant Center titles, images, descriptions, shipping information and feed before judging performance.
Then scale from recent data.
Increase budgets in controlled steps while the campaign remains above the commercial target.
Once the initial products begin reaching their natural limit, expand into the next product, region or demand source.
The goal is not to advertise more products.
The goal is to concentrate budget where it can create the most profitable new customer growth.
Final takeaway
We scale products based on evidence, not catalogue size.
The first scaling product must prove that it can win outside branded traffic.
It must generate profitable conversions from customers searching for the category, not only people already searching for the brand.
We support that product with a strong Merchant Center feed, launch it in the best-performing region and give it enough concentrated budget to produce reliable data.
Then we scale only while the recent results remain above the brand’s commercial target.
That is how we decide where the next dollar goes.
Not to the product with the highest headline revenue.
To the product with the strongest proven ability to acquire the next customer profitably.
Frequently asked questions
How many products should we start with in a Google Shopping campaign?
We normally start with three to five of the brand’s strongest products. This gives each product enough budget and traffic to generate useful data without diluting spend across the entire catalogue.
Should we scale the product with the highest revenue?
Not automatically. We prioritise the product that produces profitable non-branded customer acquisition. A high-revenue product may be relying heavily on branded searches or returning customers.
When do we increase the budget on a product?
We increase the budget when recent seven-, 14- and 30-day performance remains above the brand’s commercial target. Our standard increase is 15% to 20% at a time, except during short periods of unusually high demand.
Author: Max Crakanthorp, Founder of Kraken Digital