Spark playbook scenarios · Spark: AI Store Assistant

Compare marketing channel outcomes and tradeoffs

A merchant cannot reconcile advertising claims with store orders or compare channel returns consistently. In this case, the immediate task is to compare marketing channel outcomes and tradeoffs. The workflow should produce an attribution reconciliation and channel return report, using the merchant's actual records and constraints.

Topic

Marketing Attribution and ROAS

Target keyword

shopify marketing channel comparison

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 marketing channel outcomes and tradeoffs.
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 ad spend, attributed conversions, order IDs where available, attribution settings and matched dates]. Align windows and definitions, identify overlap or missing matches and compute return measures without treating attributed revenue as causal proof.
Return an attribution reconciliation and channel return report 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.

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.

Step 1

Start with ad spend, attributed conversions, order IDs where available, attribution settings and matched dates.

Step 2

Align windows and definitions, identify overlap or missing matches and compute return measures without treating attributed revenue as causal proof.

Step 3

Deliver an attribution reconciliation and channel return report; 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.

Can several platforms claim the same order?

Yes. Different attribution rules can credit overlapping customer journeys, so platform totals should not simply be added.

Does a high ROAS prove the campaign created incremental sales?

No. ROAS reflects attributed revenue relative to spend under a chosen model. Incrementality requires additional evidence.

What information is needed to investigate this use case?

Start with ad spend, attributed conversions, order IDs where available, attribution settings and matched 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

Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.

Marketing Attribution and ROASshopify marketing attribution tool