Use the product type
[product_type] attribute to include your own product categorization system in your product data.When to use
Optional for all products.
Format
Follow these formatting guidelines to make sure Google understands the data you're submitting.
For details on when and how to submit values in English, learn more about submitting your product data.
| Type | String (Unicode characters. Recommended: ASCII only) |
| Limits | Up to 1000 characters |
| Repeated field | Yes: up to 25 |
| File format | Example value |
|---|---|
| Text (TSV) | Home > Women > Dresses > Maxi Dresses |
| XML (Feeds) | <g:product_type>Home > Dresses > Maxi Dresses</g:product_type> |
Minimum requirements
These are the requirements you'll need to meet to show your product on Google. If you don't follow these requirements, we'll disapprove your product and let you know in the Diagnostics page of your Manufacturer Center account.
- Separate multiple product types, with a comma ( , ). When submitting multiple product types with commas, be sure to put double quotes around the entire product type value. Examples:
- ““
Books > Non-Fiction > Sports,Books > Non-Fiction > Business”” - ““
Books > Non-Fiction > Sports,Books > Non-Fiction > Business””
- ““
Best practices
These best practices can help you go beyond the basic requirements to optimize your product data for performance.
- Use
>to separate multiple levels in a category. Also, include a space before and after the > symbol. For example: Home > Women > Dresses > Maxi Dresses. - Submit the product type attribute to help Google understand how your products fit together. When you submit a product type
[product_type]attribute we can understand your products better and help connect users with them. - If your own product categorization includes multiple levels, include all the levels. For example, if your products belong in "Maxi Dresses", list the full string: Home > Women > Dresses > Maxi Dresses.
- Use the full “breadcrumb” information. Wherever possible, Google recommends that you include more granular categories as it classifies your product more precisely. For example, "Books > Non-Fiction > Sports > Baseball" is better than "Baseball".
Examples
Product types with multiple levels
| Attribute | Value |
|---|---|
Product type [product_type] |
Home > Women > Dresses > Maxi Dresses. |
| Attribute | Value |
|---|---|
Product type [product_type] |
Product > Mobile Phones > Android. |
| Attribute | Value |
|---|---|
Product type [product_type] |
Home > Photography > Lenses > SLR Lenses |