For years, performance marketing was largely a media buying challenge.
Find the right keywords. Build the right campaigns. Improve the creative. Optimise the feed. Adjust the bids. Push more budget into what works.
Those things still matter.
But as Google Ads becomes increasingly AI-led, another factor is becoming fundamental to performance: the quality of the data you give the platform.
Google calls this Data Strength.
And whether you’re an e-Commerce retailer trying to drive profitable product sales or a lead generation business trying to acquire higher-quality customers, improving that data could become one of the biggest opportunities for better performance.
Because the next generation of performance marketing won’t only be about who has the smartest campaign structure.
It’ll be about who gives the algorithms the strongest signals.
What is Data Strength?
Google describes Data Strength around four core principles:
Connect your data sources → Maximise your signals → Activate Google AI → Prove your ROI.
The principle behind it is straightforward.
The more accurately Google understands what happens after someone interacts with an ad, the better the information available to its AI when deciding who to target, how much to bid and which conversions are genuinely valuable to your business.
That’s an important distinction.
Because generating more conversions isn’t necessarily the same thing as generating better business outcomes.
Not Every Conversion Is Worth The Same
This is one of the biggest limitations of traditional performance marketing measurement.
Take an e-Commerce business.
Two customers each place a £200 order.
Customer A buys a high-margin product and goes on to purchase another three times.
Customer B buys a heavily discounted, low-margin product and never returns.
Google may initially see two £200 conversions.
The commercial value to the retailer could differ greatly.
The same problem exists in lead generation.
Imagine two campaigns each generate 100 leads at £30 CPL.
Campaign A produces 20 qualified opportunities and 10 customers.
Campaign B produces five qualified opportunities and one customer.
At platform level, they can initially look almost identical.
At business level, they’re completely different.
If the advertising platform can’t see the difference, how can we expect its algorithms to consistently optimise towards the better outcome?
That’s where Data Strength starts becoming commercially important.
Revenue and CPL Aren’t Enough
Performance marketing has historically relied heavily on metrics such as ROAS and cost per lead.
They’re useful metrics. But they’re often only part of the picture.
For e-Commerce businesses, the real objective may be:
profitable revenue, new customer acquisition, higher-margin products or customers with stronger lifetime value.
For lead generation businesses, it could be:
qualified leads, booked appointments, opportunities, completed applications or actual customers.
The closer the conversion signal gets to the real business outcome, the more meaningful it becomes.
A lead isn’t necessarily valuable because somebody completed a form.
It’s valuable because of what happened afterwards.
Likewise, £1 of e-Commerce revenue isn’t necessarily as commercially attractive as another £1 of revenue if the underlying margins, customer type and lifetime value are different.
The objective should therefore be simple:
Give Google Ads a closer representation of what the business actually values.
First-Party Data Becomes A Performance Lever
Most businesses are already sitting on valuable first-party data.
For e-Commerce, that might include:
- previous purchasers
- high-value customers
- repeat customers
- lapsed customers
- category purchasers
- loyalty programme members.
For lead generation, it could include:
- marketing-qualified leads
- sales-qualified leads
- booked appointments
- opportunities
- closed customers
- customer values.
The problem is that this information often lives somewhere else.
The website knows one thing.
Google Ads knows another.
The CRM knows what happened to the lead.
Shopify knows what someone purchased.
The email platform knows whether they’re an existing customer.
And the finance system may ultimately have the best understanding of their actual commercial value.
The opportunity is connecting those dots.
Google’s Data Strength guidance recommends connecting data sources and strengthening measurement through areas such as site-wide tagging, Enhanced Conversions, Consent Mode, Google Analytics, CRM integrations and Customer Match.
That gives the advertising platform a much richer understanding of the customers and outcomes the business actually wants.
Your AI Is Only As Intelligent As The Signals Feeding It
This matters because Google Ads has fundamentally changed.
Performance Max, Smart Bidding, broad match and increasingly AI-powered Search campaigns are moving more decision-making towards machine learning.
Google is deciding more.
Which query is valuable?
Which audience should see an ad?
Which customer is likely to convert?
How much should we bid?
Which combination of creative should we serve?
And which conversion opportunity is worth pursuing?
The natural response has been to focus on what Google’s AI can do.
But there’s another side to that conversation.
What information are we giving the AI to make those decisions?
Giving Google more automation without improving the underlying data doesn’t automatically create better performance.
Better data gives the models better context.
For e-Commerce, Product-Level Data Matters
The opportunity is especially compelling for e-Commerce businesses with large catalogues.
A retailer with thousands of products doesn’t have one uniform commercial objective.
Products have different:
- margins
- stock positions
- return rates
- average order values
- repeat purchase behaviour
- customer acquisition potential
- seasonality.
If campaigns are optimising primarily towards top-line revenue, much of that commercial context can be invisible.
That’s why e-Commerce optimisation increasingly needs to move beyond:
"How do we generate more revenue?"
Towards:
"How do we give Google enough information to understand which revenue we actually want more of?"
That can fundamentally change how feeds, campaigns, bidding and product segmentation are approached.
For Lead Generation, The Crm Needs To Talk To The Ad Platform
Lead generation businesses face a different version of the same problem.
Google Ads can be very good at finding people who complete forms.
But most businesses don’t make money from form completions.
They make money when those people become customers.
If every submitted lead is treated equally, Google’s bidding algorithms can naturally optimise towards people most likely to complete the form rather than those most likely to become valuable customers.
That’s why feeding downstream CRM outcomes back into Google Ads is so important.
Instead of stopping measurement at:
Form submitted
the feedback loop can move further down the funnel:
Lead → Qualified Lead → Opportunity → Customer → Revenue
Now the platform has significantly more information about what success actually looks like.
For many lead generation businesses, this could be one of the biggest untapped opportunities in their Google Ads account.
Existing Versus New Customers Matters Too
Customer acquisition creates another important distinction.
If an e-Commerce campaign generates £100,000 in revenue, how much came from customers who would have purchased anyway?
How much came from genuinely new customers?
How much value did those customers generate afterwards?
The same principle applies to lead generation businesses with existing customer databases.
This is where first-party audiences and Customer Match become more strategically important.
Knowing who your customers already are can help advertising platforms make better decisions about who you want to acquire next.
As acquisition costs rise, understanding the difference between revenue generation and incremental customer acquisition becomes increasingly important.
Better Measurement Changes How You Optimise
There’s a wider implication here.
Better data doesn’t only improve Google’s algorithms.
It improves the decisions marketers make too.
If you’re measuring qualified leads rather than form fills, your view of the best-performing campaign might change.
If you’re measuring margin rather than revenue, your highest-ROAS product category might no longer be the most attractive area to scale.
If you’re separating new and existing customers, your perception of campaign performance can change again.
And if you’re measuring incrementality, you may discover that some revenue being attributed to advertising would have happened anyway.
Data Strength therefore isn’t simply a tracking project.
It’s about getting closer to commercial truth.
What Should Businesses Be Doing Now?
The starting point should be understanding the gap between what your business knows and what your advertising platforms know.
Are Enhanced Conversions implemented correctly?
Is Consent Mode configured appropriately?
Are Google Ads and GA4 connected properly?
Can Google distinguish existing customers from new customers?
For e-Commerce, are conversion values representative of the commercial value of different products and customers?
For lead generation, are qualified leads, opportunities and customers being passed back from the CRM?
Are offline transactions being captured?
Are first-party audiences being activated?
And crucially:
Are your campaigns optimising towards the metric that actually matters to the business?
If the answer to several of those questions is no, another round of campaign tweaks may not address the biggest opportunity.
The Next Battleground In Performance Marketing
Campaign optimisation isn’t going away.
Neither are creative, feeds, landing pages, bidding strategy or account structure.
But as advertising platforms become increasingly automated, competitive advantage is moving further upstream.
Better inputs.
Better customer signals.
Better conversion signals.
Better commercial data.
Better measurement.
The businesses that connect those elements effectively give AI something their competitors may not have:
a clearer understanding of what a valuable customer actually looks like.
That’s why Data Strength deserves to move from being viewed as a technical tracking conversation to a board-level growth conversation.
The question is no longer simply:
"How much AI are we using in Google Ads?"
It’s:
"How good is the data we’re giving that AI to make its decisions?"
Because as the platforms become more automated, the quality of those inputs could increasingly determine the quality of the output.
How 360 OM Can Help
At 360 OM, we help e-Commerce and lead generation businesses connect paid media with the commercial data behind their business.
That means looking beyond campaign management alone and understanding how measurement, first-party data, CRM signals, customer acquisition, product data and business outcomes can feed into smarter optimisation.
If you’re investing in Google Ads but aren’t confident the platform is receiving the strongest possible signals about what a valuable customer or conversion looks like, it’s worth finding out where the gaps are.
.png)
