A marketer is thinking about leveraging Google’s AI solutions, using their own privacy-safe data, as a means of increasing value from marketing. What is a benefit of using their own privacy-safe data for this purpose?
- The data is a very good indicator of industry-wide performance for machine learning.
- The data is easily replicable by various teams across their organization.
- The data can be used to gauge competitor performance.
- The data is high-quality, originating with their customers.
Explanation:
Using their own privacy-safe data for leveraging Google’s AI solutions offers the benefit of **high-quality data originating from their customers**. This type of data is invaluable as it directly reflects the behaviors, preferences, and interactions of the marketer’s actual customer base. Since the data is obtained directly from their own customers, it is more accurate and relevant to their specific business context compared to generic industry-wide data or data from competitors. High-quality data is crucial for training machine learning algorithms effectively, as it ensures that the AI models understand and learn from the patterns and signals inherent to the marketer’s customer base. Therefore, leveraging their own privacy-safe data allows the marketer to harness the full potential of Google’s AI solutions by providing the foundation of accurate and actionable insights tailored to their unique business needs and objectives.
Using their own privacy-safe data is beneficial for marketers aiming to leverage Google’s AI solutions. The high-quality nature of this data stems from its origin, the customers themselves. Such first-party data allows the AI to receive direct, relevant information about the company’s products and customer base. This unique data helps instruct the AI to deliver better results, providing a competitive advantage in this era of marketing AI.