MTA does not need a perfect data environment. It does need a usable one. If the foundations are missing, the model can look sophisticated while repeating the same uncertainty with more decimal places.
The eight-point readiness checklist
1. A specific decision
Write down the choice the team expects to make: scale, pause, reframe, or investigate a channel. “Understand attribution better” is too vague to guide a useful build.
2. First-party event capture
Capture the meaningful on-site steps, from landing and product interaction to checkout and purchase. Record the context available when each event happens. The model cannot reconstruct an event that was never captured.
3. A clear order record
Decide which system owns the final order, revenue, cancellation, and refund record. Marketing reports can be valuable, but the business needs one place to reconcile the commercial outcome.
4. Known handoffs in the buying path
Check redirects, payment flows, Shopify apps, consent tools, and other transitions where an identifier or event can disappear. A blank order after a tracked visit tells you where to look.
5. Practical identity resolution
Define how sessions connect when a visitor returns. First-party cookies, login signals, email capture, and other permitted first-party records may help. Also document where the connection breaks. No system sees every person across every device.
6. Shared metric definitions
Agree on what counts as a new customer, a conversion, a return, and a qualified order. A tool cannot reconcile teams that use the same words for different things.
7. Channel and engagement context
Bring in enough detail to ask sensible questions: source, campaign, landing page, visit behavior, and timing. A channel that sends new visitors who never engage may require a different response than one that starts a long path to purchase.
8. A named owner and review cadence
Someone needs to investigate odd results, maintain the definitions, and translate findings into a test or decision. Attribution is not a report you install and forget.
Fix the capture and the decision process first. Then decide whether the added model earns its place.
What if you are not ready?
That is a useful answer, not a failure. Start with the narrowest missing piece: repair event capture, reconcile orders, document the metrics, or set up the first-party data layer. A simple, trusted reporting flow is better than a complicated model nobody can explain.
Once the foundation is in place, use the MTA signs checklist to decide whether multi-touch attribution is the next job—or whether a test or MMM is more relevant.