woo-customer-cohort-analysis · git:20260414.c2bc7b0 · 2026-04-14 · sha256 079182276ff2a926
woo-customer-cohort-analysis git:20260414.c2bc7b0A
Immutable. This exact content never changes and is served at /api/v1/blob/079182276ff2a926.
---
name: woo-customer-cohort-analysis
role: customer-ops
description: "Read-only: Group customers by registration month and compute cohort purchase rates, order counts, and lifetime value."
toolkit: woocommerce-rest-api, woocommerce-rest-execution
api_version: "wc/v3"
rest_endpoints:
- GET /customers
- GET /orders
status: stable
compatibility: Claude Code, Cursor, Cline, Codex, Gemini CLI
---
# woo-customer-cohort-analysis
## Purpose
Group WooCommerce customers by the month they registered, then compute the percentage who made a second purchase (retention), their average order count, and cumulative lifetime value (LTV) per cohort. Exports a cohort table for growth analysis and marketing attribution. Read-only.
## Prerequisites
- WooCommerce store with REST API enabled
- Consumer Key with **Read** scope
- Minimum WooCommerce version: 3.5.0
## Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `store_url` | string | yes | — | Base URL of the WooCommerce store |
| `consumer_key` | string | yes | — | WooCommerce REST API consumer key (`ck_...`) |
| `consumer_secret` | string | yes | — | WooCommerce REST API consumer secret (`cs_...`) |
| `dry_run` | bool | no | `false` | No effect — read-only skill |
| `format` | string | no | `human` | Output format: `human` or `json` |
| `months_back` | int | no | `12` | How many months of cohorts to analyze |
| `min_cohort_size` | int | no | `5` | Exclude cohorts smaller than this count |
## Authentication
WooCommerce uses OAuth 1.0a for HTTP and Basic Auth over HTTPS.
For HTTPS stores (recommended):
```
Authorization: Basic base64(consumer_key:consumer_secret)
```
For HTTP stores (development only): Use OAuth 1.0a — include oauth_consumer_key, oauth_nonce, oauth_signature, oauth_signature_method=HMAC-SHA1, oauth_timestamp, oauth_version=1.0
Never log or output consumer_key or consumer_secret values.
See docs/AUTHENTICATION.md for full setup instructions.
## Safety
Read-only skill — no mutations are executed. Safe to run at any time.
## Workflow Steps
**Step 1 — Fetch all customers**
```
GET /wp-json/wc/v3/customers
?orderby=registered_date&order=asc&per_page=100&page=1
```
Extract: `id`, `date_created`, `orders_count`, `total_spent`
**Step 2 — Group by registration month**
For each customer: `cohort = YYYY-MM of date_created`
**Step 3 — Compute cohort metrics**
For each cohort:
- `customer_count` — total customers registered that month
- `repeat_buyers` — customers with `orders_count >= 2`
- `retention_rate` — `repeat_buyers / customer_count * 100`
- `avg_orders` — average `orders_count` per cohort member
- `avg_ltv` — average `total_spent` per cohort member
- `total_revenue` — sum of `total_spent` for cohort
**Step 4 — Export**
## API Endpoints Used
```
GET /wp-json/wc/v3/customers — customer list with spend and order data
GET /wp-json/wc/v3/orders — supplementary order history if needed
```
## Pagination Strategy
WooCommerce REST API uses page/per_page pagination (not cursor-based).
Standard pattern:
```
page = 1
while True:
response = GET /endpoint?per_page=100&page=page
process(response)
if len(response) < 100: break
page += 1
```
Maximum per_page is 100 for most endpoints.
The X-WP-Total and X-WP-TotalPages response headers report totals.
Always read X-WP-TotalPages on the first request to estimate job size.
## Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
STARTUP:
```
╔══════════════════════════════════════════╗
║ SKILL: woo-customer-cohort-analysis ║
║ STORE: <store_url> ║
║ TIME: <ISO-8601 UTC> ║
║ MODE: READ-ONLY ║
╚══════════════════════════════════════════╝
```
PER-OPERATION (emit after each API call batch):
```
[N/TOTAL] <METHOD> <endpoint> → <result_count> records | params: <key>=<val>
```
COMPLETION (human format):
```
╔══════════════════════════════════════════╗
║ COMPLETE: woo-customer-cohort-analysis ║
║ RECORDS PROCESSED: <n> ║
║ OUTPUT: <filename> ║
╚══════════════════════════════════════════╝
```
COMPLETION (json format):
```json
{
"skill": "woo-customer-cohort-analysis",
"store": "<store_url>",
"completed_at": "<ISO-8601>",
"records_processed": <n>,
"output_file": "<path>",
"dry_run": false
}
```
## Output Format
CSV filename: `woo-customer-cohort-analysis_<YYYY-MM-DD>.csv`
Columns: `cohort_month`, `customer_count`, `repeat_buyers`, `retention_rate_pct`, `avg_order_count`, `avg_ltv`, `total_cohort_revenue`
## Error Handling
| Error | Cause | Resolution |
|-------|-------|------------|
| `401 Unauthorized` | Invalid credentials | Verify consumer_key and consumer_secret |
| `403 Forbidden` | Key lacks Read scope | Regenerate with Read scope |
| `429 Too Many Requests` | Rate limit | Wait 2 seconds and retry |
| Small cohorts excluded | Cohorts below min_cohort_size | Reduce `min_cohort_size` or extend `months_back` |
## Best Practices
- Compare cohort retention rates over time to measure the impact of post-purchase email campaigns.
- Use `avg_ltv` by cohort to identify which acquisition channels produce the highest-value customers.
- Run quarterly to track how customer quality trends are evolving.