What is an example of a predictive audience you can create in Google Analytics for an eCommerce site?

Creating a predictive audience in Google Analytics 4 leverages machine learning to identify users who are likely to take a specific action in the future, which enhances targeting strategies for marketing efforts. The choice of an audience likely to purchase in the next seven days directly aligns with this predictive capability.

By utilizing historical data and patterns, GA4 can analyze user behavior and engagement metrics to forecast potential purchasing actions. This can significantly aid eCommerce businesses in effectively timing their marketing campaigns or personalized messaging to encourage conversions.

The other options, while useful for segmentation, do not fit the predictive modeling aspect of GA4. For instance, users who have visited the site multiple times, abandoned their carts, or recently made a purchase are based on past behaviors rather than forecasting future actions. The predictive audience specifically focuses on anticipated behaviors, making the second option the most appropriate example of a predictive audience.