01
Step 1
Gather the store sales for the reporting period, the touchpoint records available for those orders, and the credit rule the team uses, including how it treats a touch that falls outside the window.
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Spark playbook scenarios · Spark: AI Store Assistant
Connect store sales with available attribution evidence
Sales totals are known, but the touchpoints behind them are scattered and the credit rules are unwritten. In this case, the immediate task is to connect store sales with available attribution evidence. The workflow should produce a reconciliation that links each order to supporting evidence and keeps unmatched orders visible.
Topic
Marketing Attribution and ROAS
Target keyword
shopify sales attribution
Copyable AI prompt
A prompt you can drop directly into Spark
First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.
ai-prompt.txt
Act as a Shopify operations specialist.
Help me connect store sales with available attribution evidence.
My store context is [describe the business, products and target audience].
My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [store sales for the reporting period, the touchpoint records available for those orders, and the credit rule the team uses]. Link each order to the evidence supporting its credit, split credit between touches only under the stated rule rather than giving each touch the whole order, and leave orders with no recorded touch in an unmatched group that stays visible in the output.
Return the attribution reconciliation and return report for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.How to solve
A recommended resolution workflow
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
02
Step 2
Link each order to the evidence supporting its credit, split credit between touches only under the stated rule rather than giving each touch the whole order, and leave orders with no recorded touch in an unmatched group that stays visible in the output.
03
Step 3
Deliver the attribution reconciliation with a return report built on the credited values, then check every link against the supplied data and report the size of the unmatched group beside the result.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Can every order be linked to a touchpoint?
No, some orders have no recorded touch, usually because tracking was missing or the buyer returned directly. Leaving them unmatched is more honest than forcing a link, and the report states how much revenue sits in that group.
Does multi-touch mean every touch gets full credit?
No, decide how credit is split under the chosen rule and state that rule beside the result. Giving each touch full credit pushes the total well past actual sales and makes channel figures impossible to reconcile.
Should offline or imported orders be included?
Include them only where the records carry comparable evidence, and mark them separately where they do not. Mixing them into the main total without a flag hides the fact that part of the revenue was never tracked.
Related scenarios
Continue with adjacent or same-topic scenarios
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Calculate advertising return using stated cost and value definitions
Track attributed revenue relative to ad spend
Compare marketing channel outcomes and tradeoffs
Compare channel ROAS using compatible definitions
Next step
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