Your customer, a local car dealership, frequently changes keywords in their campaign based on the previous week's sales. What should your customer use with their data-driven attribution model in Search Ads 360 to make sure the campaigns are updated correctly?

Analysis of Correct Answer(s)

• Automated channel groupings are the correct choice because they use rules-based logic to automatically classify keywords as they are added or changed. This is perfect for the dealership's situation.
• The customer can create rules to group keywords by car model, trim, or other relevant categories (e.g., any keyword containing "Camry" goes into the "Camry" group).
• When the dealership adds new keywords based on sales data, these groupings update automatically. This provides the data-driven attribution (DDA) model with a stable, consistent structure for analysis, ensuring that performance is tracked accurately at a meaningful level despite the frequent keyword changes.

Analysis of Incorrect Options

• Keyword groupings: This is a manual process. It would be highly inefficient and unsustainable for a client who frequently updates their keyword list, as each new keyword would need to be manually assigned to a group.
• Multichannel groupings and Custom channel groupings: These tools are generally used for organizing higher-level marketing channels (e.g., Paid Search vs. Organic Search vs. Social). They are not designed for the granular, dynamic management of keywords within a single search account.