/shopify-admin-discount-roi-calculator
Read-only: calculates the true ROI of each discount code and automatic discount by comparing incremental revenue against discount cost.
$ npx -y skills add 40rty-ai/shopify-admin-skills --skill shopify-admin-discount-roi-calculator --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/shopify-admin-discount-roi-calculator
Context preview
The summary Claude sees to decide when to auto-load this skill.
Read-only: calculates the true ROI of each discount code and automatic discount by comparing incremental revenue against discount cost.
SKILL.md
shopify-admin-discount-roi-calculator.SKILL.mdname: shopify-admin-discount-roi-calculator
role: conversion-optimization
description: "Read-only: calculates the true ROI of each discount code and automatic discount by comparing incremental revenue against discount cost."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
- discountNodes:query
- orders:query
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
Purpose
Evaluates the true return on investment for each discount code and automatic discount by measuring revenue generated, number of orders, average order value with vs. without discount, customer acquisition attributed to discounts, and whether discounted orders cannibalized full-price sales. Goes beyond `discount-hygiene-cleanup` (which finds broken/unused codes) to answer "was this discount worth it?" Read-only — no mutations.
Prerequisites
- Authenticated Shopify CLI session: `shopify store auth --store <domain> --scopes read_orders,read_discounts`
- API scopes: `read_orders`, `read_discounts`
Parameters
| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain | | days_back | integer | no | 90 | Lookback window | | min_uses | integer | no | 3 | Minimum uses for a discount to be analyzed | | format | string | no | human | Output format: `human` or `json` |
Safety
> ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.
Workflow Steps
1. **OPERATION:** `discountNodes` — query **Inputs:** `first: 250`, select discount details (title, code, type, value, usageCount, startsAt, endsAt), pagination cursor **Expected output:** All discount codes and automatic discounts
2. Filter to discounts with `usageCount >= min_uses` and active within lookback window
3. **OPERATION:** `orders` — query **Inputs:** `query: "created_at:>='<NOW - days_back days>' discount_code:<code>"`, `first: 250` for each active discount code, select `totalPriceSet`, `totalDiscountsSet`, `subtotalPriceSet`, `customer { id, numberOfOrders }`, pagination cursor **Expected output:** All orders using each discount
4. Also query orders WITHOUT any discount in same period for baseline AOV comparison
5. For each discount, calculate:
- **Total Discount Cost** = Σ(totalDiscountsSet for orders with this code)
- **Revenue Generated** = Σ(totalPriceSet for orders with this code)
- **Discounted AOV** = revenue / orders
- **Baseline AOV** = AOV of non-discounted orders in same period
- **AOV Lift/Drop** = discounted AOV - baseline AOV
- **New Customer %** = orders where customer.numberOfOrders == 1 / total
- **Gross ROI** = (revenue - discount_cost) / discount_cost × 100
- **Cannibalization Risk** = high if discount AOV < baseline AOV and new customer % < 20%
GraphQL Operations
# discountNodes:query — validated against api_version 2025-01
query AllDiscounts($after: String) {
discountNodes(first: 250, after: $after) {
edges {
node {
id
discount {
... on DiscountCodeBasic {
title
codes(first: 1) { edges { node { code } } }
usageLimit
asyncUsageCount
startsAt
endsAt
customerGets {
value {
... on DiscountPercentage { percentage }
... on DiscountAmount { amount { amount currencyCode } }
}
}
}
... on DiscountCodeFreeShipping {
title
codes(first: 1) { edges { node { code } } }
asyncUsageCount
startsAt
endsAt
}
... on DiscountAutomaticBasic {
title
asyncUsageCount
startsAt
endsAt
customerGets {
value {
... on DiscountPercentage { percentage }
... on DiscountAmount { amount { amount currencyCode } }
}
}
}
}
}
}
pageInfo { hasNextPage endCursor }
}
}# orders:query — validated against api_version 2025-01
query OrdersByDiscount($query: String!, $after: String) {
orders(first: 250, after: $after, query: $query) {
edges {
node {
id
name
createdAt
totalPriceSet { shopMoney { amount currencyCode } }
totalDiscountsSet { shopMoney { amount currencyCode } }
subtotalPriceSet { shopMoney { amount currencyCode } }
customer {
id
numberOfOrders
}
discountCodes
}
}
pageInfo { hasNextPage endCursor }
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗
║ SKILL: Discount ROI Calculator ║
║ Store: <store domain> ║
║ Started: <YYYY-MM-DD HH:MM UTC> ║
╚══════════════════════════════════════════════╝
**After each step**, emit:
[N/TOTAL] <QUERY|MUTATION> <OperationName>
→ Params: <brief summary of key inputs>
→ Result: <count or outcome>**On completion**, emit:
For `format: human` (default):
══════════════════════════════════════════════
DISCOUNT ROI REPORT (<days_back> days)
Discounts analyzed: <n>
Total discount spend: $<amount>
Total attributed rev: $<amount>
─────────────────────────────
TOP PERFORMERS (by ROI):
"<code>" ROI: <n>% Revenue: $<n> Cost: $<n> New customers: <pct>%
UNDERPERFORMERS:
"<code>" ROI: <n>% Revenue: $<n> Cost: $<n> ⚠️ Cannibalization risk
BASELINE COMPARISON:
Non-discount AOV: $<n> | Avg discount AOV: $<n> | Δ: $<n>
Output: discount_roi_<date>.csv
══════════════════════════════════════════════Output Format
CSV file `discount_roi_<YYYY-MM-DD>.csv` with columns: `discoun
Read more
name: shopify-admin-discount-roi-calculator role: conversion-optimization description: "Read-only: calculates the true ROI of each discount code and automatic discount by comparing incremental revenue against discount cost." toolkit: shopify-admin, shopify-admin-execution api_version: "2025-01" graphql_operations: - discountNodes:query - orders:query status: stable compatibility: Claude Code, Cursor, Codex, Gemini CLI
Purpose
Evaluates the true return on investment for each discount code and automatic discount by measuring revenue generated, number of orders, average order value with vs. without discount, customer acquisition attributed to discounts, and whether discounted orders cannibalized full-price sales. Goes beyond `discount-hygiene-cleanup` (which finds broken/unused codes) to answer "was this discount worth it?" Read-only — no mutations.
Prerequisites
- Authenticated Shopify CLI session: `shopify store auth --store <domain> --scopes read_orders,read_discounts`
- API scopes: `read_orders`, `read_discounts`
Parameters
| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain | | days_back | integer | no | 90 | Lookback window | | min_uses | integer | no | 3 | Minimum uses for a discount to be analyzed | | format | string | no | human | Output format: `human` or `json` |
Safety
> ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.
Workflow Steps
1. **OPERATION:** `discountNodes` — query **Inputs:** `first: 250`, select discount details (title, code, type, value, usageCount, startsAt, endsAt), pagination cursor **Expected output:** All discount codes and automatic discounts
2. Filter to discounts with `usageCount >= min_uses` and active within lookback window
3. **OPERATION:** `orders` — query **Inputs:** `query: "created_at:>='<NOW - days_back days>' discount_code:<code>"`, `first: 250` for each active discount code, select `totalPriceSet`, `totalDiscountsSet`, `subtotalPriceSet`, `customer { id, numberOfOrders }`, pagination cursor **Expected output:** All orders using each discount
4. Also query orders WITHOUT any discount in same period for baseline AOV comparison
5. For each discount, calculate:
- **Total Discount Cost** = Σ(totalDiscountsSet for orders with this code)
- **Revenue Generated** = Σ(totalPriceSet for orders with this code)
- **Discounted AOV** = revenue / orders
- **Baseline AOV** = AOV of non-discounted orders in same period
- **AOV Lift/Drop** = discounted AOV - baseline AOV
- **New Customer %** = orders where customer.numberOfOrders == 1 / total
- **Gross ROI** = (revenue - discount_cost) / discount_cost × 100
- **Cannibalization Risk** = high if discount AOV < baseline AOV and new customer % < 20%
GraphQL Operations
# discountNodes:query — validated against api_version 2025-01
query AllDiscounts($after: String) {
discountNodes(first: 250, after: $after) {
edges {
node {
id
discount {
... on DiscountCodeBasic {
title
codes(first: 1) { edges { node { code } } }
usageLimit
asyncUsageCount
startsAt
endsAt
customerGets {
value {
... on DiscountPercentage { percentage }
... on DiscountAmount { amount { amount currencyCode } }
}
}
}
... on DiscountCodeFreeShipping {
title
codes(first: 1) { edges { node { code } } }
asyncUsageCount
startsAt
endsAt
}
... on DiscountAutomaticBasic {
title
asyncUsageCount
startsAt
endsAt
customerGets {
value {
... on DiscountPercentage { percentage }
... on DiscountAmount { amount { amount currencyCode } }
}
}
}
}
}
}
pageInfo { hasNextPage endCursor }
}
}# orders:query — validated against api_version 2025-01
query OrdersByDiscount($query: String!, $after: String) {
orders(first: 250, after: $after, query: $query) {
edges {
node {
id
name
createdAt
totalPriceSet { shopMoney { amount currencyCode } }
totalDiscountsSet { shopMoney { amount currencyCode } }
subtotalPriceSet { shopMoney { amount currencyCode } }
customer {
id
numberOfOrders
}
discountCodes
}
}
pageInfo { hasNextPage endCursor }
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗ ║ SKILL: Discount ROI Calculator ║ ║ Store: <store domain> ║ ║ Started: <YYYY-MM-DD HH:MM UTC> ║ ╚══════════════════════════════════════════════╝
**After each step**, emit:
[N/TOTAL] <QUERY|MUTATION> <OperationName>
→ Params: <brief summary of key inputs>
→ Result: <count or outcome>**On completion**, emit:
For `format: human` (default):
══════════════════════════════════════════════
DISCOUNT ROI REPORT (<days_back> days)
Discounts analyzed: <n>
Total discount spend: $<amount>
Total attributed rev: $<amount>
─────────────────────────────
TOP PERFORMERS (by ROI):
"<code>" ROI: <n>% Revenue: $<n> Cost: $<n> New customers: <pct>%
UNDERPERFORMERS:
"<code>" ROI: <n>% Revenue: $<n> Cost: $<n> ⚠️ Cannibalization risk
BASELINE COMPARISON:
Non-discount AOV: $<n> | Avg discount AOV: $<n> | Δ: $<n>
Output: discount_roi_<date>.csv
══════════════════════════════════════════════Output Format
CSV file `discount_roi_<YYYY-MM-DD>.csv` with columns: `discoun
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