Ad attribution and true ROAS: from the click all the way to the sale
Ad platform reports have a structural problem: the platform grades its own work. It can count clicks and the conversions it claims, but not the money you actually received.
What you'll notice
- The "conversions" in platform reports don't match your actual sales.
- Your team switches between several ad dashboards every day and assembles reports by hand.
- You can't say which ad brought in the most sales revenue last month (revenue, not conversions).
Where it usually gets stuck
- Each platform defines spend, conversions and attribution windows differently, so there is no common basis for comparing them.
- After the click, customers move into chat, and the data stays scattered across your staff's conversations, never collected.
- Some platforms have no official integration library, so getting the data means implementing request signing and the pipeline yourself.
How we fix it
We look at how your team actually works before deciding what to change and with what. These are the methods this kind of problem usually calls for. Automation, AI and custom code are tools among them.
- Pull data from each platform's API automatically every day, implementing signed requests ourselves where no official library exists.
- A unified metric layer: standardize currency, time zone and attribution rules before comparing anything.
- Bring in booking and sales data to connect the full chain: click → chat → booking → sale.
- Multi-tenant access control: the internal team sees everything, and each client sees only its own data.
How we check it worked
- Ad spend is matched to actual sales revenue, not to the conversions each platform reports for itself.
- Every layer of data is honestly labeled for reliability. If a number is an estimate, it says so.