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Step 1
Start with campaign-level spend, impressions, clicks, conversions, revenue and consistent date ranges.
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Spark playbook scenarios · Spark: AI Store Assistant
Track advertising spend using consistent reporting periods
A marketing operator sees scattered campaign metrics and cannot isolate the drivers of performance changes. In this case, the immediate task is to track advertising spend using consistent reporting periods. The workflow should produce an ad performance breakdown and investigation priorities, using the merchant's actual records and constraints.
Topic
Ad Performance Analytics
Target keyword
shopify ad spend tracking
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 track advertising spend using consistent reporting periods.
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: [provide campaign-level spend, impressions, clicks, conversions, revenue and consistent date ranges]. Calculate rates with explicit denominators, compare campaign segments and separate delivery, engagement and conversion problems.
Return an ad performance breakdown and investigation priorities 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.Scenario & problem
When does this scenario usually come up?
Start with the business context, the trigger, and the expected output before moving into the execution steps.
A marketing operator sees scattered campaign metrics and cannot isolate the drivers of performance changes. In this case, the immediate task is to track advertising spend using consistent reporting periods. The workflow should produce an ad performance breakdown and investigation priorities, using the merchant's actual records and constraints.
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
Calculate rates with explicit denominators, compare campaign segments and separate delivery, engagement and conversion problems.
03
Step 3
Deliver an ad performance breakdown and investigation priorities; verify the result against the supplied records and identify unresolved inputs.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Why review clicks and conversions separately?
A campaign can attract clicks while failing to convert. Each stage suggests different questions.
Can averages hide poor campaigns?
Yes. Strong results from one campaign can mask weak segments, so inspect the underlying distribution.
What information is needed to investigate this use case?
Start with campaign-level spend, impressions, clicks, conversions, revenue and consistent date ranges. These inputs establish the relevant scope and help separate an actual issue from missing information or an unsuitable comparison. Without them, the result should remain a proposed approach rather than a confirmed diagnosis.
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Next step
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