Stop optimising your marketing for leads. Start optimising for customers.
STORY22 | UNBOUND 2026 CONTENT SERIES
A short read from our UNBOUND 2026 notes: what a session from Google reminded us about search, customer data and the signals we use to judge whether marketing is actually working.
One simple point from Google at UNBOUND really stuck with us: the real-world results from your sales process should guide what your marketing does next.
Most marketing systems still learn from the first easy-to-measure action. Someone clicks. Someone fills in a form. Someone books a call. We count the conversion and move on. But those actions do not tell us whether the person was a brilliant fit, completely wrong for the business, or somewhere in between.
Search is getting much more specific
Google’s own data shows that the average query in AI Mode is now around three times the length of a traditional Google Search. That fits what we are seeing elsewhere too: people are increasingly describing the full problem, context and constraints rather than feeding a search engine two or three keywords.
The example used in the session was the difference between searching for “dog training” and looking for an in-home trainer who specialises in rescue dogs with separation anxiety and can work on Saturday mornings. The second search is not simply longer. It reveals much more about intent.
For marketers, that has a fairly obvious consequence: generic messages are going to have a harder time earning attention. If the customer can describe the problem precisely, your marketing needs to make it equally clear you understand that precise problem.
This is also why we keep coming back to clear, customer-centred messaging. Story marketing works best when the customer can quickly see their problem reflected in the message, not when the brand starts by talking about itself.
A lead is not the same as a good customer
This was the more useful strategic lesson from the session. Too many campaigns are judged by the number or cost of leads, because that is where the reporting is easiest. But a cheap lead can still be an expensive waste of time.
Do not teach your marketing platforms what a lead looks like. Teach them what a good customer looks like.
Imagine Campaign A generates 40 enquiries and Campaign B generates 25. On a basic lead report, Campaign A looks stronger. But if Campaign A produces two qualified opportunities and no sales, while Campaign B produces eight qualified opportunities and four customers, the decision about where to spend the next pound looks very different.
That is why we would rather know cost per qualified opportunity, cost per customer and customer value than celebrate a falling cost per form fill in isolation. A lead is useful, but it is not the end of the story.
Close the loop with customer data
This does not depend on one particular CRM. The principle is simply to capture what happens after the initial enquiry and, where appropriate, feed those meaningful outcomes back into the advertising platform. Google’s own guidance says a formal CRM is not essential: any system that captures lead information can be adapted, even a spreadsheet.
The important bit is the feedback loop. If your advertising platform only knows that a form was submitted, that is the outcome it will learn to optimise around. If you can reliably tell it which leads became qualified opportunities or customers, you give the system a much more commercially useful signal.
Google describes this through enhanced conversions for leads and offline conversion data, but the broader lesson is bigger than a Google Ads feature: your marketing should learn from sales outcomes, not sit in a separate reporting universe.
What marketers should do next
You do not need a huge data project to start. A sensible first pass is to make sure the business can answer these five questions:
- What does a genuinely good customer look like for us?
- Which stages between first enquiry and sale actually matter?
- Are those stages being recorded consistently?
- Can we see which channels and campaigns produce qualified opportunities and customers, not only leads?
- Where it is appropriate and privacy-compliant, can those later-stage outcomes be fed back into the platforms making optimisation decisions?
This is the measurement layer that should sit underneath a strong marketing strategy. Paid advertising is far more useful when the business already understands its audience, message, customer journey and definition of a valuable outcome.
Google talked about being “AI-ready”. We would put it slightly differently: being AI-ready starts with being data-ready, but data only helps when you are measuring the thing you actually care about.
Better advertising starts with a better definition of success
The temptation with advertising is to focus on what is easy to see: clicks, forms and headline cost per lead. The better question is what happened next.
If you are spending money on paid campaigns but cannot clearly connect that spend to qualified opportunities and customers, the issue may not be “we need more ads”. It may be that your strategy, messaging, tracking or sales feedback loop needs tightening first.
STORY22 can help you review the whole system, from messaging and customer journey to pay-per-click advertising and measurement. Book a free 30-minute strategy call and we will help you work out where the real gap is.
FAQs
What is first-party data in marketing?
First-party data is information your business collects directly from its own customers and prospects, for example enquiries, sales-stage information, purchases, bookings or customer value. It is different from data bought or inferred from somebody else’s audience.
Do I need a CRM to use customer data in advertising?
No. A CRM makes the process easier and more scalable, but the principle is to record outcomes consistently. Google specifically notes that other systems, including a spreadsheet, can be used to capture lead information for offline conversion measurement.
What should I track beyond a lead?
Track the stages that reflect commercial quality in your own sales process. That might include qualified lead, booked appointment, proposal, opportunity, sale and customer value. Do not add stages simply because the software allows it.
Should I stop measuring leads?
No. Leads are still a useful early indicator. The problem comes when lead volume or cost per lead becomes the only measure of success. It should be read alongside quality and revenue outcomes.
Does more specific search behaviour change the way we write ads?
Yes. If people are describing problems in greater detail, broad copy has less chance of feeling relevant. Strong ads and landing pages need to reflect the real problem, context and desired outcome clearly rather than relying on generic category language.
About STORY22
STORY22 is a full-service international marketing agency based in the UK. We help organisations make clearer marketing decisions by connecting strategy, customer-centred messaging, digital marketing and measurement, so activity has a purpose and teams can see what is actually moving the business forward.