Discount A/B Analysis

### name Discount A/B Analysis — Which Code Drives More Revenue ### oneLiner Compares two or more discount codes by redemption count and revenue generated over a date range — no separate analytics app required. ### whenToUse - After a campaign that ran two different codes, to decide which variant to repeat. - Before the next seasonal promotion — check historical data for similar codes before setting a discount percentage. - When you suspect one code is cannibalizing another and want to confirm with hard numbers. ### howToRun ``` Run skill: shopify-admin-discount-ab-analysis Store: yourstore.myshopify.com discount_codes: ["SAVE10", "WELCOME15"] date_range_start: "2025-01-01" date_range_end: "2025-01-31" ``` ### whatYouGet An inline comparison table with columns: `code`, `async_usage_count`, `orders_in_range`, `total_revenue`, `avg_order_value`, `revenue_per_use`. The key metric is `revenue_per_use` — it shows which code generates more revenue per redemption, leveling the comparison when volumes differ. `async_usage_count` is the lifetime total uses; `orders_in_range` is redemptions within your date window only. ### polishContext ### safetyNote