As the number of Product Sets grows, so does the need for structure.

When your sets are consistently named, it becomes easier to find, duplicate, or update them without second-guessing which version you’re working on.

A good naming convention turns your Product Sets list into something you can scan and understand instantly.

Tips & Tricks for Naming Product Sets

Start with what the set actually represents. Include details like category, merchant, or campaign focus.

Examples:

• Electronics – Best Buy – Holiday Deals
• Women’s Shoes – Walmart – Under 100
• Home Decor – Target – Draft

Descriptive names help you identify purpose at a glance without opening the set.

If you use Draft, Pending, or Published status, make it clear in your naming. Even if you use Datafeedr’s built-in status labels, including it in the name helps when scanning or exporting lists.

Examples:

• Kitchen Appliances – Walmart – Draft
• Summer Accessories – Awin – Published

You can also keep your structure predictable with a consistent structure. A simple formula works well:

Category → Merchant → Modifier

That could mean:

• Category – Merchant – Campaign
• Category – Merchant – Season
• Category – Merchant – Price Range

If you then manage multiple networks or currencies, opt to include short, standardized codes:

• Electronics – Rakuten – USD
• Fashion – CJ – GBP

These small cues help when working across regions or comparing network performance.

Clear naming conventions keep your Product Sets organized, searchable, and easy to manage as your account expands. A few small habits like consistent order, short identifiers, and clear purpose, make it simple to stay organized even when you’re managing hundreds of sets.

To learn more, view written documentation: https://datafeedrapi.helpscoutdocs.com.