Your analytics dashboard is full. Your profit question is still unanswered.
You have GA4, Looker Studio, Meta Ads Manager, Google Ads, HubSpot. Each one draws charts and funnels. None of them tells you whether your marketing makes money or burns it.
30 min. We read your numbers, not a deck. No obligation.
To answer that, you have to join data from three places: the ad platforms, your store or CRM, and your payment processor. Then you measure it against the one number your bank account keeps.
The metric gap nobody talks about
If you run an online store or a lead-generation business on paid ads, and your reports look healthy while the bank balance feels off, this is for you. The dashboard is not lying to you on purpose. It is answering a different question than the one you care about.
Here is the gap most analytics setups leave open. An ad platform reports attributed revenue — the sales it gives itself credit for, at the full price, counting every order its attribution window touched. (Attribution just means deciding which ad gets the credit for a sale.) That figure is not gross revenue. Gross revenue takes off returns. It is not net revenue either, which takes off VAT. And it is nowhere near contribution profit — what’s left after you subtract returns, VAT, cost of goods, and ad spend. That is the only number your bank account keeps.
The distance is large. For a brand that sells direct to customers, 40 to 60 cents of every margin euro can vanish between the ROAS the platform shows — the revenue it claims, divided by the spend — and the money the business actually banks.
A dashboard that never closes that gap is decorative. It reports activity. It does not tell you whether the business is growing.
What honest marketing analytics looks like
It starts with one layer that sends your real sales — confirmed by your store or CRM, not guessed by a browser pixel — to every ad platform you run. That stops two channels from claiming credit for the same order, which is what inflates the numbers when campaigns run side by side.
On top of that sits a profit model. It turns each tracked sale into a contribution profit figure. For a store, that means attaching your margin, your average return rate, and your VAT rate to the order. For a lead-generation business, it means feeding back the real value of the deal once your team closes it.
The result is one dashboard. Every euro of spend traces to the profit it produced after all costs — not a ROAS, not a cost per marketing-qualified lead, but the actual margin the campaign earned.
How we build the analytics layer (outcome-first)
1. One agreed count of every sale. We send each purchase straight from your store to the ad platforms, counted once, with the same data each time. No channel double-claims a sale it did not drive.
2. Profit attached to every conversion. Each sale carries its real margin, so the bidding algorithm chases profitable orders — and your tools report what actually landed, not the gross price.
3. Real deal value fed back, for lead-gen. When your team marks a deal won in HubSpot, Salesforce, or Pipedrive, that value goes back to the ad platforms. They learn to find buyers, not just form-fillers.
Proof
Connecting ad spend to a real business outcome is the team’s track record, and it covers both worlds. The team has shipped tracking for Volkswagen, Audi, KFC, and WizzAir — work where a click had to be tied to a showroom visit or a booked flight, not just a page view. That is the lead-gen problem in its hardest form: the sale closes far from the ad, so the platform never learns from it unless you build the link by hand.
Chocolissimo shows the same discipline on a store. We fixed the measurement gap and changed nothing else — same ads, same budget, same creative. The cost to acquire a customer dropped 22% in 90 days, because the algorithm finally optimized against real sales instead of a pixel’s partial count.
We don’t make money producing creatives.
Fresh ads are what scaling needs. So we ship at least 50 a week — and the production fee simply covers what they cost to make. Gemini will render you an image for cents. So will we. You are not paying for pixels. You are paying to know which fifty to make.
The second part is how we earn. We take a share of the new profit we create. Profit here means the cash left after VAT, returns, product costs and ad spend — we call it contribution profit. If that number does not grow, we earn nothing on that side.
30 minutes. We read your numbers, not a deck. No obligation.
Questions, answered.
What is marketing attribution?+
Marketing attribution is the process of assigning credit for a conversion — a sale, a booking, a closed deal — to the marketing touchpoints that preceded it. The goal is to know which campaigns, channels, and creatives are producing results worth repeating.
Why does Google Analytics 4 not show the same revenue as my store?+
Because GA4 records the events it can see from the browser — limited by ad blockers, consent prompts, and session timeouts. Your store records every order. The gap between the two figures is the share of purchases GA4 missed. For most stores it is between 15% and 35%.
What is the difference between last-click attribution and data-driven attribution?+
Last-click gives all the credit to the final ad someone touched before buying. Data-driven splits the credit across every ad that helped, weighted by how much each one moved the sale along. Neither one tells you if the sale made money. For that you need a profit layer on top, which is the part most setups skip.
Do you replace our current analytics setup?+
Usually we layer on top of it. We add the server-side measurement that closes the tracking gap, and we connect the profit model to the events that already flow. The existing tools — GA4, Looker Studio, your ad platforms’ own reporting — continue to work; they just start receiving better data.
See the profit your ads actually bank.
Find out how large the gap between your reported metrics and your real profit is — in 30 minutes.
30 minutes. We read your numbers, not a deck. No obligation.