The opportunity
Discount codes and automatic promotions can overlap, remain active after a campaign, leak to unintended customers, apply to protected products, or generate revenue while reducing contribution. Usage count alone does not show whether a mechanic is working.
BizSidekick reads the complete rule set and eligible orders, reconstructs stacking and eligibility, and ranks conflicts by customer, margin, and operating impact.
How it works
- Inventory discount mechanics — Read active and recent codes, automatic discounts, functions, combinations, dates, markets, products, customers, and usage limits.
- Reconstruct eligibility and stacking — Determine which rules can combine, which customers and products qualify, and where priority or exclusions conflict.
- Connect order outcomes — Match usage with Shopify orders, net sales, contribution inputs, refunds, new and repeat customers, and product mix.
- Detect operational risks — Identify expired campaign codes, public leakage, protected-product inclusion, duplicate mechanics, invalid exclusions, and margin-floor violations.
- Assess commercial value — Separate attributed discounted revenue from evidence of incremental behavior, customer acquisition, basket growth, or inventory relief.
- Prepare remediation — Return the affected rules and orders, evidence, proposed change, owner, validation check, and required approval.
Safety boundary
The audit is read-only. It does not deactivate a code, change eligibility, alter stacking, create an offer, or assume that discounted orders were caused by the discount.
Expected outcome
A discount-rule audit with conflicts, commercial impact, owners, and safe remediation recommendations
Try this prompt
Paste it into WorkBuddy to start this use case.
@BizSidekick Audit active and recent Shopify discount codes and automatic discounts. Check eligibility, stacking, dates, usage, order outcomes, refunds, margin, customer overlap, and leaked codes, then recommend safe remediation without changing anything.
