The E-commerce Performance Company
You already pay for demand. But between the click and the payment, revenue leaks away: through speed, mobile UX, checkout, and tracking. We make visible how much that costs you, and we build it out.
For Dutch DTC brands on Shopify with €1–10M online revenue.
Why Tradual
The same goes for e-commerce. You can invest heavily in traffic, but if the store behind it doesn't perform like a Formula 1 car, revenue leaks away on the road to checkout. We call that Revenue Leak.
We don't start by buying more traffic. We start with how much more revenue is sitting in the demand you already earned.
Technology, speed, data, UX and conversion have to work as one system, not as five separate projects.
We map where revenue leaks away, translate it into euros, fix the biggest causes first, and measure what the improvement actually returns.
More revenue from the same traffic.
The model
From the moment someone searches for you to the moment they pay, there are five layers. Each layer has its own leak. We measure them all and convert them into euros per month.
How many visitors do you lose before they can do anything?
What makes your stack slow, and what does that cost?
Where does conversion leak through technical friction?
How much more revenue is sitting in your existing traffic?
How findable and buyable are you for AI agents?
How we work
Tradual is not a CRO agency. We repair the technical foundation: speed, infrastructure, and the right stack. Think of building the fastest car on the grid. Who steers it is up to you.
The route
Four services, one sequence. You always start by measuring. Otherwise you're building on assumptions.
Step 1
We measure where your revenue leaks, across all five layers, and translate it into euros per month and per year.
Step 2
When optimizing inside your current stack is no longer enough. Focused on structural recovery of performance and conversion.
Step 3
Ongoing optimization layer after audit or rebuild: measure, prioritize, build, test, and improve.
Step 4
Preparing commerce infrastructure for AI agents and new buying interfaces: product data, structured data, feeds, APIs, and transactional readiness.
Proof
Engagements where we uncovered a Revenue Leak and closed it, with the starting situation, what we built, and the result.
Self-test: Start procedure
Five lights on the gantry. Tick off every question you can answer with a number; the lights only go out once the grid is clear.
If you got 20% more traffic tomorrow, which part of your store would you trust the least?
Between the paid click and the payment, where is the most revenue being lost right now?
Which technical limitation of your store has cost you the most money or growth speed in the past six months?
If conversion rose 10% with no extra media budget, what would that mean in annual revenue?
As more product discovery moves through AI agents: is your commerce infrastructure ready to be found, understood, and chosen?
0 / 5
Three or more blind spots. The Revenue Leak Audit is your starting point.
Start to finish
In a few weeks you'll know. With amounts attached, per layer, and a roadmap ordered by impact.
