Attribution Tools With a Refund Guarantee or Risk-Free Trial

A refund guarantee and a risk-free trial are different things. As read from their public pricing pages on 8 September 2026, Northbeam quotes its higher tiers through sales, Rockerbox does not publish pricing, Triple Whale has a free tier for smaller stores, Cometly states it has no free trial, and Elevar, a tracking product rather than an attribution model, offers a 15-day trial. Causality Engine's entry is a EUR 99 one-time causal read with a full refund within 30 days, no questions asked.

Why the distinction matters before the price does

A demo shows you the vendor's data. A trial shows you your data, for a period, before money changes hands. A refund lets you pay, see the result on your own data, and get the money back if the result was not worth it. For a decision about which channel to cut, only the last two tell you anything, because the question is what the tool says about your channels, not how the dashboard looks on someone else's.

The terms, as read on 8 September 2026

"Not stated in public materials" means exactly that: no refund policy was found on the vendor's public pages on the date read. It is not a claim that none exists; ask the vendor. The comparison page carries the same records with the capture date on each row.

What "the read is the trial" means in practice

There is no free tier and no time-limited trial of the read itself; the first finding from your GA4 export is free at causalityengine.ai/start, computed in your browser. You export a GA4 attribution paths file, pay EUR 99, and see what each channel caused next to last-click, with a data-health score and a next step for every channel, in 1 to 2 minutes. Ask within 30 days and the EUR 99 is refunded in full, no questions asked, processed within five business days, and you keep the read. Pro is EUR 299 a month for automated ingestion, the full look-back, AI chat over your results and budget alerts, cancel any time, and the EUR 99 read stays available alongside. Marketing analytics with cancel-anytime pricing covers the subscription side.

The refund is not the same as a good read

A refund protects the money, not the decision. With little paid spend or a short history, a causal read has less to work with, and sometimes the honest answer is to wait. One of the five beta cases published on this site, OFFFTRACK, got exactly that advice, and it is published anyway. A vendor that would rather take the money is a vendor whose refund policy you will need.

Why cheap and refundable is not the same as good

A trial or a refund tells you nothing about whether the number is right. The Price of Being Found's audit of 31 commercial measurement vendors found none with a published validation against randomised experiments in public materials, and its advice is to ask every vendor, including this site's publisher, what its system would report if your advertising had no effect at all. The cheapest way to get a causal attribution read and how to vet an attribution vendor before you sign cover the price and the questions respectively.

What to do this week

• If you own the budget: get your first finding free at causalityengine.ai/start, then run the EUR 99 read on the same export; 12 months or more reads best. If it is not worth it, ask for the refund within 30 days.
• If you have to defend the number: before any subscription, ask the vendor in writing for its refund terms and for a trial on your data, not a demo on theirs.

Competitor terms are each vendor's publicly listed terms as read on 8 September 2026 and change without notice; verify on the vendor's own site before relying on them. Vendors without public pricing are marked as such. Causality Engine terms as stated on causalityengine.ai on 26 September 2026.