Step 1
Start with customer events, segment rules, approved messages, communication eligibility and stop conditions.
A merchant needs timely lifecycle emails without duplicate sends or irrelevant sequences. In this case, the immediate task is to create a nurture sequence for new customers. The workflow should produce an email automation map and test scenarios, using the merchant's actual records and constraints.
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.
Act as a Shopify operations specialist.
Help me create a nurture sequence for 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 customer events, segment rules, approved messages, communication eligibility and stop conditions]. Define entry, timing, branching and exit rules; test duplicate events and customer-state changes before activation.
Base the sequence on what the customer has already purchased or learned, with an exit when the intended next step is completed.
Return an email automation map and test scenarios 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.Start with the business context, the trigger, and the expected output before moving into the execution steps.
A merchant needs timely lifecycle emails without duplicate sends or irrelevant sequences. In this case, the immediate task is to create a nurture sequence for new customers. The workflow should produce an email automation map and test scenarios, using the merchant's actual records and constraints.
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Start with customer events, segment rules, approved messages, communication eligibility and stop conditions.
Define entry, timing, branching and exit rules; test duplicate events and customer-state changes before activation.
Base the sequence on what the customer has already purchased or learned, with an exit when the intended next step is completed.
Deliver an email automation map and test scenarios; verify the result against the supplied records and identify unresolved inputs.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Customers should leave a sequence when its purpose no longer applies, such as after completing the intended action.
No. Timing should reflect the customer's context and the purpose of the message.
Their needs change after purchase or engagement. Continuing an introductory sequence can become irrelevant.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
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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.