Attribution
See which ad spend pays for itself.
Import what you spend on ads, then see spend next to attributed revenue, ROAS and CPA for every channel and campaign, compared across six attribution models. Bring your own spend by hand or CSV, on your own EU-resident data.
Where ad attribution usually goes wrong
- Every ad platform grades its own homework. Google and Meta each claim the same conversion, so the numbers never reconcile.
- Most tools pick a single model for you, usually last click, so one hidden assumption decides which channel looks good.
- Spend sits in one tab and revenue in another. Tying the two together is a monthly spreadsheet chore that is stale the day you finish it.
How leadmaps does it
Bring your own ad spend.
Enter a campaign total by hand or upload a CSV export. A period total spreads evenly across its days, and re-importing the same file never doubles your spend.
Six models, side by side.
First touch, last touch, linear, position based, Shapley, and data-driven Markov. Compare them in one table instead of trusting whichever model a tool chose for you.
Spend against revenue, per channel.
Every channel and campaign shows spend next to attributed revenue, with ROAS and CPA. When the models agree a channel earns its budget, that call is safe to act on.
Honest about the gaps.
If your imported spend covers only part of a date range, the report says so, because missing days flatter ROAS. Nothing leaves your own first-party data.
Stop measuring with crossed fingers.
Get numbers you can trust and a dashboard you actually want to open.