> For the complete documentation index, see [llms.txt](https://docs.bloomanalytics.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bloomanalytics.io/profit/product-profits.md).

# Product Profits

Analyze sales, costs, ad spend, ROAS, and profit for each Shopify product and variant in Bloom's Product Profits report

### What is Product Profits?

Product Profits is a Bloom page that gives you a detailed view of product-level performance. It lets you analyze sales, costs, ad spend, ROAS, and profit metrics for each product and its variants, so you can uncover profitability insights, track performance trends, and make informed decisions to optimize your products and marketing.

### How it Works

**Product-Level Profitability**

Bloom provides detailed product-level profitability, helping you understand how much profit each product generates. Analyze product performance, identify your most profitable products, and make informed inventory and pricing decisions.

**Ad tracking for individual products**

Bloom tracks ad spend and ROAS at the product level in two ways:

**Automatic product-level ad spend** 

If you're running any of the following campaign types, Bloom automatically captures product-level ad spend:

* Google Ads: Performance Max campaigns
* Facebook Ads: Catalogue campaigns and Advantage+ Shopping campaigns

### Data Available

**Product Profits table**

The table shows metrics for each product (and, when enabled, each variant). Customize which columns appear using the column selector in the top-right corner.

<table data-search="false"><thead><tr><th>Column</th><th>Description</th></tr></thead><tbody><tr><td>Product Type</td><td>The product type set in Shopify.</td></tr><tr><td>SKU</td><td>The product SKU.</td></tr><tr><td>Tags</td><td>Product tags from Shopify.</td></tr><tr><td>Status</td><td>The product's status.</td></tr><tr><td>Vendor</td><td>The product’s vendor.</td></tr><tr><td>Units Sold</td><td>Number of units sold in the selected date range.</td></tr><tr><td>Units Refunded</td><td>Number of units refunded in the selected date range.</td></tr><tr><td>Inventory Quantity</td><td>Current inventory quantity.</td></tr><tr><td>Gross Sales</td><td>Gross sales for the product.</td></tr><tr><td>Discounts</td><td>Discounts applied.</td></tr><tr><td>Refunds</td><td>Refund amount.</td></tr><tr><td>Net Sales</td><td>Net sales after discounts and refunds.</td></tr><tr><td>Total Sales</td><td>Total sales for the product.</td></tr><tr><td>Product COGS</td><td>Cost of goods sold for the product.</td></tr><tr><td>Gross Profit</td><td>Profit after product costs.</td></tr><tr><td>Gross Margin %</td><td>Gross profit as a percentage.</td></tr><tr><td>Campaign Link</td><td>Campaign link attached for individual-product ad tracking.</td></tr><tr><td>Ad Spend</td><td>Ad spend attributed to the product.</td></tr><tr><td>Net Profit</td><td>Profit after all tracked costs.</td></tr><tr><td>Product ROAS</td><td>Return on ad spend at the product level.</td></tr><tr><td>Inventory Cost</td><td>Cost value of current inventory.</td></tr><tr><td>Inventory Value</td><td>Retail value of current inventory.</td></tr></tbody></table>

### How to Use it

1. Select the date range you want to analyze at the top of the page.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2F4i3rSYwRYXtGz8G3CKRj%2Fimage.png?alt=media&amp;token=bb162871-f2e0-4f12-97ef-a9c5500c1f76" alt="Date Range for Product Profits"><figcaption></figcaption></figure>

2. Open the column selector in the top-right corner to choose which metrics appear in the table.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FP9BY9WqEFowZNsNbanG5%2Fimage.png?alt=media&amp;token=f0fa7710-e932-466e-8a36-2ceb9151103a" alt="Metrics for Product Profits"><figcaption></figcaption></figure>

3. Use the filter icon to filter products by Product Name, Variant Name, Product Type, SKU, Tags, Vendor, POS Name or Status.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FfbpvrCH1c2f0qbMuRs6F%2Fimage.png?alt=media&amp;token=cdfd2b51-0bd2-4659-a295-5a6ee39001e7" alt="Filter Icons in Product Profits"><figcaption></figcaption></figure>

4. Enable View by product variants to break performance down to the variant level.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FP1YiJn3zM2jjhe2c0pvJ%2Fimage.png?alt=media&amp;token=6691c263-7876-4e26-8077-6bf660793efa" alt="View By Variant Name in Product Profits"><figcaption></figcaption></figure>

5. Enable the Ad Spend and Product ROAS columns to see spend and returns for each product.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2F032TeyHbCDPRzhY53BPe%2Fimage.png?alt=media&amp;token=c2a23f73-d91a-4230-b1d6-998a4ce8cd34" alt="Product Returns in Product Profits"><figcaption></figcaption></figure>

6. Export the Product Profits table in Excel, CSV, or PDF format for reporting.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FNtSfvudQ5n2G65Dm4NmT%2Fimage.png?alt=media&amp;token=d855090c-90ce-4a7e-9ae8-9da8460f5cdb" alt="Exporting Format in Product Profits"><figcaption></figcaption></figure>