01
Step 1
Start with consistent sales and order data, discounts, product mix and comparison periods.
Back to topic
Spark playbook scenarios · Spark: AI Store Assistant
Report average order value with a defined sales basis
A merchant sees changes in average order value but does not know which products or customer groups explain them. In this case, the immediate task is to report average order value with a defined sales basis. The workflow should produce an AOV analysis and targeted improvement hypotheses, using the merchant's actual records and constraints.
Topic
Average Order Value Analysis
Target keyword
shopify average order value 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 report average order value with a defined sales basis.
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 consistent sales and order data, discounts, product mix and comparison periods]. Define the numerator and denominator, calculate AOV by relevant segment and separate mix shifts from within-segment changes.
Return an AOV analysis and targeted improvement hypotheses 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 sees changes in average order value but does not know which products or customer groups explain them. In this case, the immediate task is to report average order value with a defined sales basis. The workflow should produce an AOV analysis and targeted improvement hypotheses, 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
Define the numerator and denominator, calculate AOV by relevant segment and separate mix shifts from within-segment changes.
03
Step 3
Deliver an AOV analysis and targeted improvement hypotheses; 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.
What does average order value measure?
It divides a defined sales amount by the corresponding number of orders. The sales definition and order exclusions must be stated.
Can a higher AOV hide a problem?
Yes. AOV can rise while order count falls or discounts reduce margin. Review it alongside other business measures.
What information is needed to investigate this use case?
Start with consistent sales and order data, discounts, product mix and comparison periods. 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
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Identify the segments driving changes in AOV
A merchant sees changes in average order value but does not know which products or customer groups explain them. In this case, the immediate…
Explain sales changes using supplied business evidence
A merchant sees an unusual result and needs help connecting evidence to a plausible explanation. In this case, the immediate task is to expl…
Report product sales using consistent product identifiers
A merchant cannot identify which products are driving revenue or underperforming after accounting for exposure. In this case, the immediate …
Identify underperforming products and plausible constraints
A merchant cannot identify which products are driving revenue or underperforming after accounting for exposure. In this case, the immediate …
Compare customer lifetime value across relevant segments
A merchant needs to compare customer value across segments without confusing realized revenue and future projections. In this case, the imme…
Measure each product's contribution to revenue
A merchant cannot identify which products are driving revenue or underperforming after accounting for exposure. In this case, the immediate …
Next step
Want these AI scenarios embedded directly into daily operations?
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.