Einstein Sales Emails uses which type of data to generate tailored email content?

Einstein Sales Emails generates tailored email content primarily using data from previous interactions. This approach allows the system to understand the preferences, behaviors, and specific needs of the contacts based on their past engagement with the sales team. By analyzing past interactions, such as email responses, meeting notes, and other communication, the system can customize email messaging to resonate more effectively with the recipient, thus increasing the likelihood of a positive response.

Utilizing interaction data means that the emails can be designed to reference previous discussions or highlight relevant products based on what the customer has shown interest in before. This level of personalization enhances the relationship between the sales representative and the customer, making the outreach feel more thoughtful and relevant rather than generic.

While the other types of data—such as sales performance, customer demographics, and market research—are useful in various sales strategies and processes, they do not provide the same direct insight into the individual recipient's behavior and preferences as interaction data does. Therefore, interaction data stands out as the most effective means for crafting personalized email content in this context.