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Switch from Databox to Causality Engine

Databox uses KPI dashboarding (no attribution modeling). Causality Engine uses causal inference on your GA4 export. There is nothing to migrate: the first read takes 1 to 2 minutes, and you can run both side by side.

€99 once, excl. VAT. Keep Databox running while you compare.

What Databox's terms say, before you leave.

Short answer: there is nothing to migrate. Keep Databox running, upload your GA4 export, and compare the two for a month. Cancel only if the comparison says so, on the terms below.

Contract
Monthly or annual (20% off annual)databox.com/pricing, read
Refunds
Fees are non-refundabledatabox.com/terms-of-service, read
Free trial or plan
Free plan; 14-day free trial of any plan, no payment detailsdatabox.com/pricing, read
Billing
Subscription, Free plan; paid from $71/mo billed annuallydatabox.com/pricing, read
Price rises with
Not stated on its public pages

Databox and Causality Engine, fact by fact

Competitor pricing is each vendor's publicly listed pricing as read on the date shown, and it changes without notice: verify on the vendor's own site before relying on it. Vendors without a public price are marked as such. Comparisons set Causality Engine's one-time €99 analysis against subscription models.

How to switch, in five steps.

  1. No cancellation required yet

    Keep Databox running (its terms: monthly or annual (20% off annual)). Causality Engine reads your GA4 CSV export, so nothing conflicts and no data moves between the two.

  2. Upload your GA4 CSV (no integration required)

    Export 12 months or more of GA4 data and upload it. Longer reads better. No OAuth, no pixel, no code, no DNS changes. Shopify native is on the roadmap.

  3. Run your first analysis

    What each channel caused, next to last-click, with a data-health score on each, 1 to 2 minutes after the upload. Compare it with what Databox was telling you.

  4. Evaluate side by side

    Run both for a month and compare them channel by channel. Where they disagree is where a budget decision is at stake.

  5. Cancel Databox when ready

    Only if the side-by-side says you should. On refunds, Databox states: fees are non-refundable. Nothing in Causality Engine depends on Databox being gone.

What to weigh before you leave Databox

Databox uses KPI dashboarding (no attribution modeling) and is best for teams wanting KPI dashboards across multiple data sources. Where it differs from a causal read:

  • Dashboard/reporting tool, no attribution
  • A reporting and dashboard layer; it does not estimate what caused conversions
  • No causal measurement
  • Descriptive analytics only

Questions about leaving Databox

  • Can I cancel Databox at any time?
    What Databox states: Monthly or annual (20% off annual).Source: databox.com/pricing, read .
  • What does Databox say about refunds?
    What Databox states: Fees are non-refundable.Source: databox.com/terms-of-service, read .
  • Does Databox have a free trial or plan?
    What Databox states: Free plan; 14-day free trial of any plan, no payment details.Source: databox.com/pricing, read .
  • Can I run Databox and Causality Engine side by side?
    Yes. Causality Engine installs nothing on your site. It reads the GA4 export you already have, so it runs on top of any tool here without touching its setup. The one condition: GA4 runs on your store too.

Keep reading

Four named Dutch brands and our own store, with the figures they let us publish: the case studies.

GA4 export uploadNo pixel1–2 minutes to a first read30-day refund, no questions asked

Your platforms guess.
We run the math.

Upload a GA4 export and see what each channel caused, next to last-click, in 1–2 minutes. The read is yours to keep.

The free finding runs in your browser. Your file never leaves it. The full read is €99, refundable within 30 days, no questions asked. Prices exclude VAT.