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Step 1
Start with ideal customer profile, target markets, permitted source data and qualification criteria.
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Spark playbook scenarios · Spark: AI Store Assistant
Build a qualified lead generation workflow
A merchant needs potential business buyers but lacks a focused, evidence-based prospect list. In this case, the immediate task is to build a qualified lead generation workflow. The workflow should produce a qualified prospect shortlist with evidence and next steps, using the merchant's actual records and constraints.
Topic
Lead Generation and Prospecting
Target keyword
shopify lead generation app
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 build a qualified lead generation workflow.
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 ideal customer profile, target markets, permitted source data and qualification criteria].
Identify relevant prospects from supplied or accessible sources, record evidence of fit and distinguish verified details from unknowns.
Return a qualified prospect shortlist with evidence and next steps 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 needs potential business buyers but lacks a focused, evidence-based prospect list. In this case, the immediate task is to build a qualified lead generation workflow. The workflow should produce a qualified prospect shortlist with evidence and next steps, 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.
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Step 2
Identify relevant prospects from supplied or accessible sources, record evidence of fit and distinguish verified details from unknowns.
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Step 3
Deliver a qualified prospect shortlist with evidence and next steps; 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 a contact record equal a qualified lead?
No. Qualification requires a plausible fit and relevant buying context, not just an email address.
Why define the ideal customer first?
Without clear criteria, large lists can contain many irrelevant companies and waste outreach effort.
What information is needed to investigate this use case?
Start with ideal customer profile, target markets, permitted source data and qualification criteria. 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
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Next step
Want these AI scenarios embedded directly into daily operations?
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