Solution: agencies
Causal Attribution for Agencies
Clients want proof the spend works. Platform ROAS is not credible and full MMM engagements do not fit a retainer. You need an independent, fast, defensible read per client.
The problem you are living with
Quarterly business reviews live or die on whether the ROAS story is believable. Pulling Meta's ROAS into a deck is no longer convincing - clients know about iOS, about view-through inflation, about platforms grading their own homework. Commissioning a full MMM engagement per client kills your margin. You need a defensible incremental read per client without the cost structure of a consulting deliverable.
What causal attribution changes
One causal attribution run per client, per QBR. €99. 5–10 minutes. Independent of any single platform. Output: incremental ROAS per channel with confidence intervals you can defend on the call. The deck stops being a screenshot collage and starts being one number per channel with the math behind it.
Find your wasted ad spend in 5–10 minutes.
Watch the model work on a sample store first, no signup. Then upload your last 40–90 days of GA4 sessions and get incremental ROAS with confidence intervals. No pixel, no SDK. €99 per read.
Prefer to talk it through? Book a 20-min call, or read how it works.
How it fits your workflow
Standard client deliverable. Export the client's Shopify and GA4 data, run causal attribution, pull the incremental ROAS table and confidence intervals into the QBR deck. White-label the output where applicable. No new platform for the client to learn.
Frequently asked questions
Is there an agency/partner program?
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Yes. See /partners for the agency program structure including bulk-run pricing and white-label options.
Can I run causal attribution on a client's historical period without active data access?
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Yes. As long as the client can export 40–90 days of Shopify orders and GA4 sessions, the run completes in 5–10 minutes.
How do I explain this to a non-technical client?
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The plain-English framing works: "Last-click tells you who took the credit. Causal attribution tells you who caused the sale." The methodology document is available to any client who asks.
Real reports from agencies
See what attribution looks like for agencies.
Anonymised reports from teams already using Causality Engine. Per-channel incremental ROAS with confidence intervals.
Browse all reports for agencies →Use cases
- Set channel-level budget caps
- Diagnose stagnant revenue under rising spend
Causal attribution check
Find your wasted ad spend
in 5–10 minutes.
Watch the model work on a sample store first, no signup. Then upload your last 40–90 days of GA4 sessions (and Shopify orders if you have them) and get incremental ROAS with confidence intervals. No pixel, no SDK, no integration project. €99 per run. Every quarter on last-click adds to your marketing debt.
Prefer to talk it through first? Book a 20-min call, or read how it works.