I design acquisition systems that turn attention, data and interest into customers, revenue and margin.

Management consulting firm with an average deal size of €28,000, speaking to CFOs, COOs and owners of companies with 20 to 200 employees. Contacts were coming in, but almost always far from any real buying intent: the sales team burned hours on exploratory calls with companies out of target or with no urgency.

We changed the angle. The ads stopped talking about consulting and started talking about symptoms: margin sliding without knowing why, processes holding growth back, opportunities lost for lack of data. Then a three-stage path, educational content, case studies for people who had already engaged, a qualifying form with a call booked straight into the senior partner's calendar. Plus a score that sorts leads into three lanes with different handling.

In 4 months: 96 qualified leads, €41 cost per opportunity, €740,000 of open pipeline. 18% of contacts reached a formal proposal within 30 days.

Mid-market fashion brand with a strong visual identity and a catalog of over 800 SKUs, fewer than 20 of which the campaigns actively promoted. Creatives stayed live for months and sales followed the seasonal peaks: outside those windows, revenue collapsed.

We pushed the entire catalog into Advantage+ Shopping, giving the algorithm far more products to work with. The creatives stopped describing the garment and started telling the moment you wear it. Remarketing was layered by temperature, from someone who viewed a product to someone who has already bought. Bundles and shipping thresholds raised average order value by 38% without touching unit prices.

In its strongest stretches the system passed €100,000 in monthly revenue, at an average ROAS above 6x. 31% of revenue comes from customers who have already bought.

Neighbourhood fitness studio, a new 8-week group program, 20 spots to fill in two weeks and less than €200 to spend. It wasn't a budget problem: local campaigns fail because they generate generic interest, and someone who thinks "I'll think about it" doesn't come back.

We kept everything simple. Real scarcity, updated daily in the ad: "20 spots, 14 already taken." A 4 km radius, ages 28–52, specific fitness interests. A pre-filled Meta form with one extra question. And a WhatsApp message written by hand by the trainer within 30 minutes, with the person's name and the link to confirm their spot.

Twenty spots sold in 5 days, €9 per signup, 78% follow-up response rate. We ran the same program again the following month: sold out in 3 days.

Artisanal food brand with carefully designed packaging and good brand perception, but revenue that depended almost entirely on the calendar. Christmas, Easter and Valentine's Day worked, the rest of the year much less. The model was buckling on its own: customers bought at a high price with deep discounts, who then never came back.

We killed across-the-board discounts and rebuilt the offer around bundles, themed boxes and occasions, with better margins than single products. The campaigns stopped talking about price and started talking about craft and identity, targeting lookalikes of the highest-LTV customers rather than the most numerous ones. Then post-purchase automations, cross-sell, and reactivation of customers inactive for 45 days.

Monthly revenue went from around €22,000 to over €119,000, at a blended ROAS of 6.2x. 31% of revenue comes from existing customers.

A practice specializing in implantology and invisible orthodontics, with an average treatment value above €5,000. The contacts were already coming in. What was missing was knowing how many of them actually had the intention and the means to start a treatment at that level. The previous campaigns mostly attracted people looking for an €80 cleaning.

We worked on qualifying demand. Creatives that say explicitly which treatments they are about, so people outside the target don't click. Ads that start from the patient's problem rather than the practice's services: feeling embarrassed to smile, pain ignored for years, an old denture that no longer fits. A form with three mandatory questions covering treatment of interest, budget range and urgency. An instant notification to the front desk.

Time to first contact went from 48 hours to under 4. Patient response rate almost doubled. 61% of qualified leads became a confirmed appointment.

Pre-development startup with a product hypothesis: an AI tool to automate a repetitive task for marketing and communications teams. The skills to build it were there. What was missing was knowing whether the market wanted it, why, and how much it would pay for it.

Before writing a line of code we tested three different promises, time savings, fewer errors and process scalability, each with its own landing page and campaigns aimed at professional audiences. Anyone joining the waitlist also filled in a micro-survey on use case, how often the problem shows up, tools already in use and monthly spend capacity.

1,240 signups at €1.82 each, 18% high intent. The answers surfaced a usage segment the team hadn't considered, 34% of the most interested users. And the time-savings promise performed 40% better than the other two.