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Step 1
Start with creative-level history, audience exposure, spending, placements and conversion results.
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Spark playbook scenarios · Spark: AI Store Assistant
Plan a controlled test of creative concepts
An operator sees weakening ad response but does not know whether the creative or another factor is responsible. In this case, the immediate task is to plan a controlled test of creative concepts. The workflow should produce a creative diagnosis and test matrix, using the merchant's actual records and constraints.
Topic
Ad Creative Testing and Fatigue
Target keyword
ecommerce ad creative ab testing
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 plan a controlled test of creative concepts.
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 creative-level history, audience exposure, spending, placements and conversion results].
Compare creatives over matched conditions, inspect fatigue signals and propose distinct test variants with a measurement plan.
Return a creative diagnosis and test matrix 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.
An operator sees weakening ad response but does not know whether the creative or another factor is responsible. In this case, the immediate task is to plan a controlled test of creative concepts. The workflow should produce a creative diagnosis and test matrix, 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
Compare creatives over matched conditions, inspect fatigue signals and propose distinct test variants with a measurement plan.
03
Step 3
Deliver a creative diagnosis and test matrix; 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.
Does declining click-through rate prove creative fatigue?
No. Audience mix, placement or competition may also change. Look for supporting evidence.
Why test distinct concepts instead of many tiny edits?
Conceptual differences reveal more about which message resonates, while small edits may produce little diagnostic value.
What information is needed to investigate this use case?
Start with creative-level history, audience exposure, spending, placements and conversion results. 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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