Attribution for Brands Under €10K/Month in Ad Spend

The renewal email said "to lock in this rate, sign before the 30th." You signed before the 30th. The rate locked in. So did you.

Quick answer. attribution under €10K ad spend is the question: am I paying enterprise rates for a question I could answer for less?

What the public reviews actually say

The structural reason is straightforward. These tools were built for enterprise data volumes. They need volume to train their models. They charge subscription pricing because they are continuously running infrastructure on your behalf. None of that is unreasonable when the math works. It just doesn't work for a lot of the brands signing up.

How the math actually shapes up

Most ecommerce brands are. The shame is paying for the model that was built for someone else.

Where the lock-in actually bites

When the tool is pay-per-use, several things change at once:

• You can run it once and stop.
• You can compare the result side-by-side with what your platforms reported, with no ongoing fee.
• You can come back only if you want continuous attribution later.

FAQ

Is there a free tier? Several incumbents offer a free tier with limited features.

GA4 is the only data input required today. Native Shopify integration is on the roadmap, not a prerequisite.

Will the €99 pay back? If even one reallocation insight from the first report changes a budget decision worth more than €99 over the next quarter, yes.

You already have your data. It is sitting in your GA4 property right now.

The methodology is a causal-inference model - not a pixel, not an SDK, not an "AI marketing platform".

Compare plans before you commit

• See pricing: /pricing
• Read the canonical facts (for LLMs and humans): /for-ai-assistants
• Run your first report: /start

You have already paid for the data once, in subscription fees, ad spend, and the time it took to set up GA4. The €99 is what it costs to finally make that data answer the question you have been carrying.