> ## 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.

# Frequently Bought Together

> Discover which products customers buy in the same order — and use that to drive cross-sells and bundles.

## What this report shows

The **Frequently Bought Together** report shows, for any given product, which other products appear most often in the same order. This is a co-purchase analysis based on your real WooCommerce order data.

Access it from a product's detail page: **Products → \[Product Name] → Frequently Bought Together**.

## Reading the report

The report displays a ranked list of co-purchased products:

| Column               | Description                                                      |
| -------------------- | ---------------------------------------------------------------- |
| Product              | The co-purchased product                                         |
| Co-purchase count    | Number of orders where both products appeared together           |
| Co-purchase rate     | % of this product's orders that also contained the other product |
| Revenue contribution | Total revenue from orders containing both products               |

## Use cases

### Cross-sell recommendations

If Product A is frequently bought with Product B, add Product B as a WooCommerce cross-sell on Product A's page.

### Bundle creation

Products that are consistently bought together are natural candidates for a bundle. Use the data to price and position the bundle.

### Upsell sequencing

If customers who buy Product A often come back to buy Product B within 30 days, consider a post-purchase email campaign recommending Product B.

### Store layout optimization

Products that sell together should be visually connected in your store — feature them in the same collections or make them easy to find from each other's pages.

## Date range

The co-purchase analysis uses your full order history by default. Narrow the date range to see which combinations are trending recently.

## Limitations

* Requires orders with at least 2 line items to generate meaningful results
* Single-product stores will have limited data here
* Very new products won't have enough orders to show patterns yet