01
Step 1
Start with sessions, source labels, campaign tags, orders, devices and consistent reporting dates.
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Spark playbook scenarios · Spark: AI Store Assistant
Compare traffic from social media sources
A merchant does not know which sources bring relevant visitors and which only add sessions. In this case, the immediate task is to compare traffic from social media sources. The workflow should produce a channel traffic analysis with measurement caveats, using the merchant's actual records and constraints.
Topic
Traffic Source Analytics
Target keyword
shopify social media traffic report
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 compare traffic from social media sources.
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 sessions, source labels, campaign tags, orders, devices and consistent reporting dates]. Normalize source naming, compare volume and quality measures and flag unattributed traffic rather than forcing it into known channels.
Return a channel traffic analysis with measurement caveats 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 merchant does not know which sources bring relevant visitors and which only add sessions. In this case, the immediate task is to compare traffic from social media sources. The workflow should produce a channel traffic analysis with measurement caveats, 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
Normalize source naming, compare volume and quality measures and flag unattributed traffic rather than forcing it into known channels.
03
Step 3
Deliver a channel traffic analysis with measurement caveats; 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 can referral or direct traffic be misleading?
Missing or inconsistent campaign information can obscure the original source of a visit.
Does the largest traffic source deserve the largest budget?
Not necessarily. Conversion quality, costs and incremental value also matter.
What information is needed to investigate this use case?
Start with sessions, source labels, campaign tags, orders, devices and consistent reporting dates. 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.
Related scenarios
Continue with adjacent or same-topic scenarios
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Next step
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