Einstein Send Time Optimization activity sends an email to each subscriber at the time when that subscriber is most likely to open the message.
Einstein Engagement Frequency evaluates your email activities and identifies the optimum number of email messages to send.
Einstein Engagement Scoring generates predictive models that assign scores for each subscriber’s and divide them into segments are defined as Loyalists, Window shoppers, Selective subscribers and Winback.
Einstein Content Selection runs machine learning on range of assets and optimizes towards the best performing and selects the best asset for each customer’s emails. Spot
Einstein Messaging Insights monitors the Open Rate, Click Rate and Unsubscribe Rates of your email sends and deliver insights.
Einstein Copy Insights analyzes the content from subject lines to predict how copy can contribute to reach and the engagement it sparks.
Einstein Email Recommendations deliver the next-best content or product by enabling you to observe customer behavior and build preference profiles.
Einstein Web Recommendations are delivered on the website
as product or content via a JSON response.