Step 1
Collect the creator list with the collaboration terms, the campaign goals and their measurement window, the tracking links or codes assigned per creator and the budget limits in force.
Several collaborations are live, but reported results cannot be tied back to a creator from the records on hand. In this case, the immediate task is to track creator collaborations against campaign goals. The workflow should produce a creator shortlist and outreach brief, matching each reported outcome to a collaboration and marking unsupported attribution.
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 track creator collaborations against campaign goals.
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: [the creator list with collaboration terms, campaign goals and their measurement window, tracking links or codes assigned per creator, and the budget limits in force]. Match each reported outcome to a collaboration using the assigned link or code and the order records inside the campaign window, and record orders that cannot be tied to one creator as unattributed rather than estimating a share.
Return a creator shortlist and outreach brief 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.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Collect the creator list with the collaboration terms, the campaign goals and their measurement window, the tracking links or codes assigned per creator and the budget limits in force.
Match each reported outcome to a collaboration using the assigned link or code and the order records inside the campaign window, and record orders that cannot be tied to one creator as unattributed rather than estimating a share.
Deliver a creator shortlist and outreach brief with per-creator results, spend and unattributed totals, then reconcile attributed orders against the order export and report gaps where tracking links are missing.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Follow the link or code captured on the order and credit that creator alone, because splitting credit across touches invents precision the records do not hold; where an order carries no identifier it stays unattributed.
Only at agreed checkpoints using the same measures, since early reads favor creators who posted first; the final review stays the one that decides renewal or payment where terms depend on results.
Record the content and the period, mark the outcome unattributed, and raise it with the creator, because a post that cannot be tied to tracking cannot support a result-based payment or a renewal decision.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
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.