Step 1
Take the spend for each channel over the stated period, the attributed conversions the platforms report, the matching store orders, and the definitions the merchant uses for cost and value.
Spend figures and conversion numbers exist, but each report applies its own idea of cost and value. In this case, the immediate task is to calculate advertising return using stated cost and value definitions. The workflow should produce the return calculation with its assumptions listed and any conversion that has no matching order in the merchant's records.
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.
Act as a Shopify operations specialist.
Help me calculate advertising return using stated cost and value definitions.
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: [per-channel spend for the stated period, platform-reported attributed conversions, the matching store orders, and the merchant's definitions of cost and value]. Apply one cost definition and one value definition to every channel before dividing, exclude any conversion that has no matching order from the return figure and list it separately, and flag any channel whose reported window differs from the one applied.
Return the return calculation with its assumptions 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.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Take the spend for each channel over the stated period, the attributed conversions the platforms report, the matching store orders, and the definitions the merchant uses for cost and value.
Apply one cost definition and one value definition to every channel before dividing, exclude any conversion that has no matching order from the return figure and list it separately, and flag any channel whose reported window differs from the one applied.
Deliver the return calculation with its assumptions named in writing, including the period, currency, window and refund treatment, then reconcile the totals against the supplied records so the same inputs reproduce the same result.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Use the cost categories the merchant defines, applied identically to every channel. Mixing one channel's platform fee with another's total spend makes the return figures differ for reasons that have nothing to do with performance.
Follow the merchant's stated value definition and state whether refunds are deducted. Whichever treatment is chosen must hold across the whole period, otherwise a later refund silently rewrites an already published figure.
Usually a different window, currency or value basis. Reconcile the inputs first, because identical orders still produce different returns when one counts tax and shipping and the other does not.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.