Google Ads had shown promise but was unpredictable. Fixing the tracking, learning what makes parents act and getting found in AI search turned it into a steady flow of consultation bookings.

Scaled, with ROI visible through the funnel.
Mentions in Google AI Overviews in 3 months.
Learning DNA is the UK's first multidisciplinary neurodiversity clinic. Based in Solihull and working online, it provides assessments, therapies and support for children with autism, ADHD, dyslexia and other learning differences.
It also offers SEND software used by more than 300 schools. The first step for the parents they support is a free consultation call with their team.

The UK's first multidisciplinary neurodiversity clinic.
Assessments and therapies for autism, ADHD, dyslexia and more.
Use Learning DNA's SEND software.
The first step for every parent they support.
As an early-stage startup, Learning DNA needed traction: a steady, predictable flow of parents booking consultations and entering the top of their funnel.
Set up in-house, Google Ads had shown some promise, but performance was unpredictable and opaque. It wasn't clear which spend was producing quality leads, and without that there was no clear case for investing more or obvious direction to grow.
Three ways I helped Learning DNA build inbound traction
I started by restructuring the campaign around high-intent keywords aligned with Learning DNA's commercial priorities, and fixed leaky conversion tracking across Google Ads and GA4.
Phone calls were a key enquiry route but a reporting black hole. We implemented CallRail to track every call and measure call quality against web form enquiries. When Learning DNA introduced a CRM with online calendar booking, we switched the campaign to optimise around direct meeting bookings, pulling ad spend closer to commercial value.
Jobs To Be Done interviews with early customers identified the moments parents decided to seek help, what they'd already tried, and what led them to take action: the trigger events, the steps they take next and the language they use. The findings were used in three ways:
Parents usually start with a question, not a search for a clinic. A growing share of those questions are answered by Google's AI Overviews and tools like ChatGPT.
Using the interview findings, I created long-form content answering the specific problems parents were researching. Each piece was written for parents and structured so search engines and AI tools can understand and cite it.
Answers to the questions I hear most from early-stage startups that want a steady flow of inbound leads.
Book a free 30-minute call and I'll talk through what I'd look at first.
Book a discovery callYou need conversion tracking that follows each enquiry from the ad to the outcome. I start by fixing tracking across Google Ads and GA4, including phone calls, and where possible connect it to your CRM so booked meetings are measured as well as form fills. That gives you a cost per lead and stage-by-stage conversion rates, so you can see which spend is worth increasing.
Optimise for the action closest to revenue that you can track reliably. If you take bookings through a CRM with an online calendar, booked meetings are usually the best signal because they show real intent. Until then, track both calls and forms, compare their quality, and let Google Ads optimise towards the enquiries that turn into customers.
They are short, structured conversations with recent customers about the moment they decided to look for help, what they had already tried and what made them choose you. The interviews show the events that trigger a purchase and the words customers use to describe their problem. I use those findings to write customer stories, sharpen ad copy and plan content that answers the questions people are asking.
Create content that answers the specific questions your customers research, in the language they use. Each piece should give a clear, direct answer near the top, with a logical heading structure so search engines and AI tools can understand and cite it. Content built from real customer interviews tends to match those questions closely, which is what AI answers draw on.
Start with high-intent search, where people are already looking for what you offer, and make every enquiry measurable from day one. Once that channel is profitable, add content for the earlier stages, when people are still researching their problem. That combination brings in leads now and builds visibility in Google and AI search for later.

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