# Shopify Admin Customer Win Back

> Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.

- **Type:** Skill
- **Install:** `agentstack add skill-40rty-ai-shopify-admin-skills-shopify-admin-customer-win-back`
- **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/marketing/shopify-admin-customer-win-back
- **Website:** http://skills.40rty.ai

## Install

```sh
agentstack add skill-40rty-ai-shopify-admin-skills-shopify-admin-customer-win-back
```

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

## About

## Purpose
Segments lapsed customers — those who placed at least one order but have not purchased again within a configurable window — and tags them for re-engagement. This skill handles the Shopify-native data layer; sending re-engagement emails requires an external tool.

## Prerequisites
- Authenticated Shopify CLI session: `shopify auth login --store `
- API scopes: `read_customers`, `write_customers`

## Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| store | string | yes | — | Store domain |
| format | string | no | human | `human` or `json` |
| dry_run | bool | no | false | Preview without tagging |
| inactive_days | integer | no | 90 | Days since last order to qualify as lapsed |
| min_orders | integer | no | 1 | Minimum lifetime order count to include |
| tag | string | no | win-back | Tag applied to lapsed customers |
| max_customers | integer | no | 500 | Maximum customers to process per run |

## Workflow Steps

1. **OPERATION:** `customers` — query
   **Inputs:** filter `last_order_date:=(min_orders)`, `first: 250`, pagination
   **Expected output:** List of customer objects with `id`, `defaultEmailAddress { emailAddress }`, `firstName`, `lastName`, `ordersCount`, `lastOrder.processedAt`; paginate until `hasNextPage: false`

2. **OPERATION:** `tagsAdd` — mutation
   **Inputs:** Customer `id`, tag string from `tag` parameter
   **Expected output:** Confirmation per customer; collect `userErrors`

## GraphQL Operations

```graphql
# customers:query — validated against api_version 2025-04
query LapsedCustomers($first: Int!, $after: String, $query: String) {
  customers(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        defaultEmailAddress {
          emailAddress
        }
        firstName
        lastName
        ordersCount
        lastOrder {
          processedAt
          totalPriceSet {
            shopMoney {
              amount
              currencyCode
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
```

```graphql
# tagsAdd:mutation — validated against api_version 2025-01
mutation TagsAdd($id: ID!, $tags: [String!]!) {
  tagsAdd(id: $id, tags: $tags) {
    node {
      id
    }
    userErrors {
      field
      message
    }
  }
}
```

## Session Tracking

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

**On start**, emit:
```
╔══════════════════════════════════════════════╗
║  SKILL: Customer Win-Back                    ║
║  Store:                        ║
║  Started:              ║
╚══════════════════════════════════════════════╝
```

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

If `dry_run: true`, prefix mutation steps with `[DRY RUN]` and do not execute.

**On completion**, for `format: human`:
```
══════════════════════════════════════════════
OUTCOME SUMMARY
  Lapsed customers found:  
  Customers tagged:        
  Errors:                  
  Output:                  winback_.csv
══════════════════════════════════════════════
```

For `format: json`, emit the standard JSON schema with `outcome` keys: `lapsed_found`, `customers_tagged`, `errors`, `output_file`.

## Output Format
CSV `winback_.csv` with columns:
`customer_id`, `email`, `first_name`, `last_name`, `orders_count`, `last_order_date`, `tag_applied`

## Error Handling
| Error | Cause | Recovery |
|-------|-------|----------|
| `THROTTLED` | Rate limit | Wait 2s, retry up to 3 times |
| `userErrors` on tagsAdd | Customer not found or invalid ID | Log, skip, continue |

## Best Practices
- Use a dated tag (e.g., `win-back-2026-04`) so you can track which cohort was targeted each month and avoid re-tagging customers who already received a win-back campaign.
- Set `min_orders: 2` to focus on customers who had a genuine purchase relationship, not one-time buyers who may never have intended to return.
- Run with `dry_run: true` first to validate the lapsed customer count before tagging — the count informs the scale of your re-engagement campaign.

## 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-customer-win-back
- Seller: https://agentstack.voostack.com/s/40rty-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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