You work at an agency and manage several retail accounts in Google Ads. One of your clients is new to Shopping Ads and would like to track performance by product category (ex: apparel) and gender. The client is passing the required and optional attributes for apparel in the product feed. Which recommendation would you make to their campaign structure to achieve granular reporting?

• Create a campaign for each gender, then set up product groups by apparel type. Example: Campaign #1: Women Product group #1: Tops Product group #2: Shoes
• Create a catch-all campaign. Example: Campaign #1: Tops Product group: All products
• Create a campaign by product category, then set up product groups by gender. Example: Campaign #1: Tops Product group #1: Women’s Top Product group #2: Men’s Top
• Create a campaign by product category and gender, and use product groups. Example: Campaign #1: Women’s Top Product group #1: Sweater Product group #2: Short Sleeves

Explanation:
Optional product attributes, such as product type and custom labels, allow you to provide additional details about your products. These custom attributes help you better organize and manage your campaigns within Google Ads.

Examples of optional attributes include custom_label_0, product_type, gender, age_group, color, and condition. Using these can improve the targeting and performance of your Shopping ads.