A marketer wants to use Google's AI solutions to drive more value from their marketing. They know they need to fuel AI with their own privacy-safe data. Which reason describes why their data is valuable to fueling AI?

The selection is correct because first-party data is high-quality and captures customer transactions that drive business results, providing the most accurate and unique signals available to train Google's machine learning models. Unlike generic industry trends or third-party data, an advertiser's own transactional data reflects the specific behavior of their most profitable customers, allowing AI-powered strategies like Value-Based Bidding to distinguish between a casual browser and a high-value buyer. By fueling the AI with these privacy-safe, direct insights—such as purchase history, loyalty status, or conversion values—marketers enable the system to optimize for actual revenue rather than just clicks. This create a competitive advantage where the algorithm learns to prioritize auctions that are statistically most likely to replicate those successful business outcomes, ensuring that ad spend is concentrated on the specific users and intents that align with the organization’s bottom-line goals.