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Spark playbook scenarios · Spark: AI Store Assistant

Calculate customer acquisition cost for eligible new customers

A merchant wants to understand acquisition efficiency but mixes new-customer costs with repeat orders. In this case, the immediate task is to calculate customer acquisition cost for eligible new customers. The workflow should produce a CAC calculation and segment comparison, using the merchant's actual records and constraints.

Topic
Customer Acquisition Cost
Target keyword
shopify customer acquisition cost calculator
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 calculate customer acquisition cost for eligible new customers.
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 acquisition spending, new-customer definition, customer IDs, reporting window and value measures]. Define included costs, count eligible new customers and compare CAC with a compatible value horizon.
Return a CAC calculation and segment comparison 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.
Use in Spark
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 wants to understand acquisition efficiency but mixes new-customer costs with repeat orders. In this case, the immediate task is to calculate customer acquisition cost for eligible new customers. The workflow should produce a CAC calculation and segment comparison, 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.

01

Step 1

Start with acquisition spending, new-customer definition, customer IDs, reporting window and value measures.

02

Step 2

Define included costs, count eligible new customers and compare CAC with a compatible value horizon.

03

Step 3

Deliver a CAC calculation and segment comparison; 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.

How does CAC differ from cost per order?

CAC focuses on acquiring a new customer. Cost per order can include repeat purchases and therefore uses a different denominator.

Why align CAC and LTV definitions?

Comparing acquisition cost with a differently scoped revenue estimate can overstate the attractiveness of a customer segment.

What information is needed to investigate this use case?

Start with acquisition spending, new-customer definition, customer IDs, reporting window and value measures. 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.

Next step

Want these AI scenarios embedded directly into daily operations?

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