You manage an eCommerce site and are creating new audiences to segment users in ways that are important to your business, like users who've made a purchase. Which of these is an example of a predictive audience?

You create an audience of users who are likely to purchase in the next seven days

You create an audience of users who started checking out but didn't complete the purchase

You create an audience of users who made a purchase in the last 30 days

You create an audience of users who added items to their purchase wishlist


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: You manage an eCommerce site and are creating new audiences to segment users in ways that are important to your business, like users who’ve made a purchase. Which of these is an example of a predictive audience?


Explanation: The correct option is **You create an audience of users who are likely to purchase in the next seven days**. This is an example of a predictive audience because it involves forecasting future user behavior based on historical data and predictive modeling. In practical terms, predictive audiences leverage machine learning algorithms and predictive analytics techniques to identify patterns in user behavior and anticipate future actions, such as making a purchase within a specified timeframe. As someone who has worked extensively with eCommerce analytics, I've witnessed the effectiveness of predictive audiences in optimizing marketing strategies and driving revenue growth. By targeting users who are likely to make a purchase in the near future, businesses can focus their resources on high-potential prospects, personalize marketing messages to encourage conversion, and ultimately increase sales. This proactive approach enables eCommerce sites to stay ahead of customer needs and preferences, leading to more efficient and effective marketing campaigns.
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