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 catch-all campaign. Example: Campaign #1: Tops Product group: All products
- 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
- 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 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
Explanation:
The correct recommendation is to **Create a campaign by product category and gender, and use product groups**. By structuring the campaign in this manner, the client can achieve granular reporting while effectively organizing their products based on category and gender. This approach allows for detailed performance tracking and optimization tailored to specific product attributes, such as apparel type and gender. Using product groups within the campaign enables further segmentation and management flexibility, ensuring that the client can efficiently monitor and adjust bids, budgets, and targeting strategies based on the performance of individual product categories and gender segments. Therefore, creating a campaign by product category and gender, with corresponding product groups, offers the best solution for achieving the desired level of granularity in reporting and campaign management, facilitating effective optimization and performance tracking for the client’s Shopping Ads.