> ## Documentation Index
> Fetch the complete documentation index at: https://docs.saletides.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Customer Groups

> Analyze your customers grouped by location, purchase behavior, roles, and more.

## What are customer groups?

Customer groups let you see aggregated metrics for customers who share a common attribute — for example, all customers from Germany, all customers who made their first purchase in Q1, or all customers with a specific WooCommerce user role.

Navigate to **Customers → Groups** to access this view.

## Grouping options

### By billing attribute

Group customers by their billing address fields:

| Attribute | Example groups |
| - | - |
| Country | United States, United Kingdom, Germany, ... |
| State / Region | California, Texas, New York, ... |
| City | London, Chicago, Sydney, ... |
| Postal code | Group by zip/postal area |

### By shipping attribute

Same grouping options as billing, but based on the shipping address used on orders.

### By purchase behavior

| Attribute | Example groups |
| - | - |
| First order month | Customers who first ordered in January 2024, February 2024, etc. |
| Order count | Customers with 1 order, 2–5 orders, 6–10 orders, etc. |
| Lifetime value tier | Customers spending $0–$100, $100–$500, \$500+, etc. |

### By product

Group customers by the first product they ever purchased, or by whether they have ever purchased a specific product. Useful for understanding which products drive the best long-term customers.

### By WooCommerce user role

Group customers by their WordPress user role (e.g., Subscriber, Customer, Wholesale Customer) if your store uses role-based pricing or access.

## Reading the group table

Each group row shows:

| Column | Description |
| - | - |
| Group | The attribute value (e.g., "United States") |
| Customers | Number of unique customers in this group |
| Orders | Total orders from this group |
| Revenue | Total gross revenue |
| AOV | Average order value |
| Repeat Rate | % of customers who ordered more than once |
| Avg LTV | Average lifetime revenue per customer |

## Sorting and filtering groups

Click any column header to sort. Use the date range picker to analyze a specific time period.

## Use cases

* **Geographic expansion** — which countries are growing fastest?
* **Cohort seeding** — customers acquired in a specific month tend to have higher LTV?
* **Product discovery** — which first purchase leads to the most repeat buying?
* **Role-based offers** — are wholesale customers more valuable than retail?


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