# Shopify Admin Discount Cost Trend

> Read-only: tracks total discount dollars given over configurable time buckets (week/month/quarter), broken down by discount type and code.

- **Type:** Skill
- **Install:** `agentstack add skill-40rty-ai-shopify-admin-skills-shopify-admin-discount-cost-trend`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [40RTY-ai](https://agentstack.voostack.com/s/40rty-ai)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [40RTY-ai](https://github.com/40RTY-ai)
- **Source:** https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/finance/shopify-admin-discount-cost-trend
- **Website:** http://skills.40rty.ai

## Install

```sh
agentstack add skill-40rty-ai-shopify-admin-skills-shopify-admin-discount-cost-trend
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

## Purpose
Tracks how much money the store gave away in discounts over time, bucketed by week, month, or quarter, and broken down by discount code and discount type (percentage / fixed amount / free shipping / automatic). Answers: "is our discount spend trending up or down, and which campaigns are driving it?" Read-only — no mutations. Complements `discount-roi-calculator` (per-discount return) with a longitudinal view of total cost.

## Prerequisites
- Authenticated Shopify CLI session: `shopify store auth --store  --scopes read_orders`
- API scopes: `read_orders`

## Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| period | string | no | month | Bucket size: `week`, `month`, or `quarter` |
| periods_back | integer | no | 12 | Number of buckets to report |
| top_codes | integer | no | 10 | Top discount codes to break out individually; remainder grouped as `other` |
| include_shipping_discounts | bool | no | true | Whether to count shipping discounts in the totals |
| 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. Compute window from `period` × `periods_back` (e.g., `month` × 12 → last 12 calendar months starting from the first day of the bucket 11 months ago)

2. **OPERATION:** `orders` — query
   **Inputs:** `query: "created_at:>='' financial_status:paid"`, `first: 250`, select `createdAt`, `discountCodes`, `currentTotalDiscountsSet`, `totalDiscountsSet`, `cartDiscountAmountSet`, `discountApplications { allocationMethod, targetType, value, ... on DiscountCodeApplication { code }, ... on AutomaticDiscountApplication { title }, ... on ManualDiscountApplication { title } }`, `shippingLines { discountAllocations { allocatedAmountSet } }`, pagination cursor
   **Expected output:** All paid orders in the window with discount data; paginate until `hasNextPage: false`

3. For each order, attribute discount cost:
   - `cart_discount` = `currentTotalDiscountsSet.shopMoney.amount`
   - `shipping_discount` = sum of `shippingLines.discountAllocations.allocatedAmountSet` (only if `include_shipping_discounts: true`)
   - `total_discount` = cart_discount + shipping_discount
   - Attribute by code: prefer first `discountApplications.code` for code discounts, `title` for automatic / manual

4. Bucket each order into its period (week-of-year, year-month, or year-quarter) and aggregate:
   - Total discount cost per bucket
   - Per discount code per bucket
   - Per discount type per bucket (percentage, fixed_amount, shipping, automatic)

5. Identify top codes by total cost across the window; aggregate the rest as `other`

## GraphQL Operations

```graphql
# orders:query — validated against api_version 2025-01
query DiscountCostTrend($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        createdAt
        discountCodes
        currentTotalDiscountsSet { shopMoney { amount currencyCode } }
        totalDiscountsSet { shopMoney { amount currencyCode } }
        cartDiscountAmountSet { shopMoney { amount currencyCode } }
        discountApplications(first: 10) {
          edges {
            node {
              allocationMethod
              targetType
              targetSelection
              value {
                ... on PricingPercentageValue { percentage }
                ... on MoneyV2 { amount currencyCode }
              }
              ... on DiscountCodeApplication { code }
              ... on AutomaticDiscountApplication { title }
              ... on ManualDiscountApplication { title description }
            }
          }
        }
        shippingLines(first: 5) {
          edges {
            node {
              title
              discountAllocations {
                allocatedAmountSet { shopMoney { amount currencyCode } }
              }
            }
          }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
```

## Session Tracking

**Claude MUST emit the following output at each stage. This is mandatory.**

**On start**, emit:
```
╔══════════════════════════════════════════════╗
║  SKILL: Discount Cost Trend                  ║
║  Store:                        ║
║  Period:  ×            ║
║  Started:              ║
╚══════════════════════════════════════════════╝
```

**After each step**, emit:
```
[N/TOTAL]   
          → Params: 
          → Result: 
```

**On completion**, emit:

For `format: human` (default):
```
══════════════════════════════════════════════
DISCOUNT COST TREND  (last  s)
  Total discount cost:    $
  Avg per :        $
  Latest :         $   (% vs prior)

  By bucket:
    2025-Q1  $   (cart $ / shipping $)
    2025-Q2  $   (cart $ / shipping $)

  By discount type:
    code            $   (%)
    automatic       $   (%)
    manual          $   (%)
    shipping        $   (%)

  Top codes (by total cost):
    ""        $   (%)
    ""        $   (%)
    other           $   (%)

  Output: discount_cost_trend_.csv
══════════════════════════════════════════════
```

For `format: json`, emit:
```json
{
  "skill": "discount-cost-trend",
  "store": "",
  "period": "month",
  "periods_back": 12,
  "total_discount_cost": 0,
  "by_bucket": [],
  "by_type": { "code": 0, "automatic": 0, "manual": 0, "shipping": 0 },
  "top_codes": [],
  "currency": "USD",
  "output_file": "discount_cost_trend_.csv"
}
```

## Output Format
CSV file `discount_cost_trend_.csv` with columns:
`bucket`, `discount_code_or_title`, `discount_type`, `orders_count`, `cart_discount`, `shipping_discount`, `total_discount`, `currency`

## Error Handling
| Error | Cause | Recovery |
|-------|-------|----------|
| `THROTTLED` | API rate limit exceeded | Wait 2 seconds, retry up to 3 times |
| Stacked discount codes | Multiple codes on one order | Attribute proportionally to each code by their `value` share, or label as `multi-code` if equal |
| Manual discount with no title | Cashier-entered with empty title | Group as `manual:untitled` |
| Multi-currency orders | Presentment currency != shop currency | Sum on `shopMoney.amount` (shop currency) for consistency |

## Best Practices
- Use `period: week` for promotional businesses with frequent campaigns; `period: month` for stores with steady evergreen offers; `period: quarter` for board reporting.
- A flat or rising trend with no campaign activity often points to **automatic discount creep** — review automatic discounts that have no end date.
- Cross-reference the latest bucket against `discount-roi-calculator` to verify the cost increase is producing matching incremental revenue.
- Set `include_shipping_discounts: false` if your accounting books shipping subsidy separately from product discounts.
- Set up monthly automation: discount spend that drifts above budget should trigger a finance review before it shows up in margin reports.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [40RTY-ai](https://github.com/40RTY-ai)
- **Source:** [40RTY-ai/shopify-admin-skills](https://github.com/40RTY-ai/shopify-admin-skills)
- **License:** MIT
- **Homepage:** http://skills.40rty.ai

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-40rty-ai-shopify-admin-skills-shopify-admin-discount-cost-trend
- Seller: https://agentstack.voostack.com/s/40rty-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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