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Every Month we are killing it with more and more brands 🤌🏻🚀
An ecommerce brand gives you $10K to spend on Google Ads.
You have two options:
A: Put the entire budget behind the campaign already generating 5X ROAS.
B: Take some of the budget and test new products, audiences and demand—even if the initial ROAS is lower.
There isn't a universal answer.
It depends on the growth stage, margins, customer value and appetite for risk.
But if this were your $10K, where would you put it?
A or B? 👇
Your Google Ads account has two different types of data:
What happened
→ Clicks
→ Conversions
→ ROAS
→ Revenue
Why it happened
→ Search intent
→ Product demand
→ Offer
→ Customer type
→ Seasonality
→ Competition
Most dashboards are great at showing the first group.
The second group is where the real analysis starts.
Numbers tell you what changed. Context tells you why.
A Google Ads campaign doesn't need to be perfect to be profitable.
We've seen advertisers spend weeks trying to improve a campaign that's already producing healthy returns.
Meanwhile, they're ignoring the bigger opportunity:
Scaling what already works.
There comes a point where another 2% improvement in CTR matters less than finding the next profitable $1,000 in spend.
Optimisation is useful.
Knowing when to stop optimising is a skill too.
People don't ignore ads because they're “not interested.”
Sometimes they're interested.
They just don't trust you yet.
They've never heard of the brand.
They don't know if the product works.
They don't know if the quality matches the price.
They don't know what happens after they click Buy.
That's why the same customer may ignore your first ad…
see your brand again…
read a review…
visit your website…
and finally purchase two weeks later.
Not every impression needs to create a sale.
Sometimes its job is simply to make the next impression more valuable.
There's a big difference between “getting customers” and “buying customers.”
If a brand needs a 40% discount every time someone comes through Google Ads...
that's not necessarily a great acquisition strategy.
The real goal is to build a system where:
Ad → Product → Offer → Experience → Repeat purchase
all make economic sense.
Because if the customer only works when the discount is huge,
the acquisition channel isn't the only thing you need to optimise.
#GoogleAds #roas #ecom #Ecommerce #performancemarketing
Google Ads doesn't need more budget from every ecommerce brand.
Some accounts need:
Better product pages.
Better offers.
Better tracking.
Better creative.
Better product data.
Then the existing traffic starts converting differently.
Increasing the budget before fixing the foundation can simply make the same problem more expensive.
Scale comes after economics—not before.
We once found a campaign that looked like a winner—until we split the numbers by product.
Overall ROAS looked healthy.
But one product was doing most of the heavy lifting.
A few others were quietly consuming budget.
The account-level number was hiding the real story.
That's why ecommerce reporting shouldn't stop at:
“What's the campaign ROAS?”
Sometimes the better question is:
“Which products are actually making this campaign work?”
#GoogleAds #roas #ecom #Ecommerce #performancemarketing
One Google Ads number we think gets misunderstood: “Conversions.”
100 conversions sounds great.
But what are they?
100 purchases?
Leads?
Repeat customers?
Low-value orders?
Different conversion actions?
This matters because Google's bidding system learns from the conversion signals it receives.
If the signal is wrong, better optimisation can simply mean optimising toward the wrong outcome.
Ever had a Google Ads campaign suddenly stop converting?
Before touching the campaign, check the boring stuff.
Stock.
Price.
Shipping.
Checkout.
Landing page.
We've seen accounts where the ads were working perfectly.
The product page was the problem.
Sometimes the fastest way to fix a Google Ads campaign is to stop looking at Google Ads.
#GoogleAds #roas #ecom #Ecommerce #performancemarketing
Google might be making your first-party data more useful. 👀
Google is testing Enhanced Matching for Customer Match, which could help advertisers reach more of their existing customer audiences across participating publishers.
It's still only a test.
But if this rolls out broadly, Customer Match could become a lot more interesting for ecommerce brands.
First-party data is getting harder to ignore.
Would you test this if Google rolls it out? 👇
One of the easiest ways to misunderstand Google Ads performance is mixing branded and non-branded traffic together.
Imagine:
Brand campaign → 8X ROAS
Non-brand campaign → 2.5X ROAS
The account average might still look healthy.
But those campaigns are doing completely different jobs.
Brand traffic often captures people who already know you.
Non-brand traffic is usually where you're trying to reach new demand.
So instead of asking:
“What's the account ROAS?”
also ask:
“How much of this revenue came from people who already knew the brand?”
That distinction can completely change how you evaluate performance.
In Google Shopping, your product isn't competing only on price.
Google needs enough information to understand what you're selling and when it should be shown.
That means things like:
Product title
Description
Category
Attributes
Images
Price
Availability
all contribute to how clearly Google understands the product.
A vague product title gives the system less context.
A well-structured product feed gives it more.
For ecommerce brands, feed optimisation isn't housekeeping.
It's part of the advertising strategy.
#googleads #anb #performancemarketing #ecommerce
Keywords tell Google what you're targeting. Search terms tell you what customers actually wanted.
That's an important distinction.
You might target:
“women's running shoes”
But your search terms could reveal people looking for:
→ Cheap running shoes
→ Running shoes for work
→ Kids' running shoes
→ Free running shoes
→ A completely different product
This is why regularly reviewing search terms matters.
You're not just looking for irrelevant traffic.
You're also looking for new customer intent you didn't anticipate.
Search-term data can tell you what your customers are actually asking for—not what you assumed they were asking for.
#ecom
#googleads
#performancemarketing
#anb
#Ecommerce
Ever seen a campaign's ROAS suddenly jump and thought, “Finally!”?
Before celebrating, check where those conversions came from.
Brand searches?
Returning customers?
Discounts?
A better number doesn't always mean better growth.
Scaling a Google Ads campaign isn't as simple as increasing the budget.
Let's say a campaign is spending $1,000/day at 4X ROAS.
It doesn't mean you can push it to $2,000/day and still get 4X.
Why?
Because the first $1,000 may be capturing the strongest available demand.
As spend increases, Google may need to find additional opportunities that are less efficient.
So when scaling, watch:
Spend → Incremental conversions → Incremental revenue → Marginal ROAS
The important number isn't just your overall ROAS.
It's what the additional spend is producing.
A campaign can have a great ROAS and still be getting worse.
We've seen this happen when branded searches start taking up a bigger share of conversions.
The dashboard improves.
CPA drops.
ROAS climbs.
But the campaign isn't necessarily finding more new customers.
The account is simply capturing more demand that already existed.
That's why we like looking beyond the headline metrics.
A better ROAS is useful. Understanding where it came from is more useful.
If your Google Ads campaign suddenly doubles its conversions, would you call it a win?
We wouldn't—not immediately.
First we'd want to know:
Where did the extra conversions come from?
Branded searches?
Returning customers?
A new product?
A discount?
A tracking change?
A sudden demand spike?
Because “more conversions” is a result, not an explanation.
The interesting part is understanding what caused them.
Would you start scaling immediately or wait until you understood the jump?
#ecom #googleads #performancemarketing #anb #ecommerce