Which of the following statements about Braze's Predictive Targeting is TRUE?

Braze's Predictive Targeting is designed to analyze user behavior and forecast future actions effectively. This capability allows marketers and businesses to anticipate what users are likely to do based on their past interactions, preferences, and engagement patterns. By utilizing advanced analytics and machine learning, Predictive Targeting offers insights that enable tailored marketing strategies, optimizing how brands communicate with their customers. Such forecasting enhances the relevance and impact of messaging by aligning it with anticipated user behavior.

The other statements do not accurately reflect the functionality of Braze's Predictive Targeting. For instance, the idea that it cannot adapt to user preferences contradicts its design, as it continuously learns from user engagement data. Focusing solely on past outcomes ignores its predictive capabilities that look forward instead of just backwards. Lastly, suggesting that predictive targeting is not relevant for messaging strategies overlooks its essential role in crafting personalized and targeted communications aimed at increasing user engagement.