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Using Einstein in Marketing Cloud Engagement
In Marketing Cloud Engagement, Einstein provides insights and data to inform the content and timing of your marketing activities. Use powerful Einstein features to understand the engagement and behaviors of your customers so you can personalize every interaction that you create in Marketing Cloud Engagement.
Your Guide to Einstein in Marketing Cloud Engagement
- Einstein Generative AI in Marketing Cloud Engagement
Use Einstein generative AI to create and personalize nearly-there drafts of message copy, already contextualized and grounded in your Salesforce data. In Einstein Copy Insights, you can test, copy, and download your generated subject lines and body copy. In Content Builder, quickly create subject lines and body copy to use in your messages. An optional Typeface add-on provides generative image capabilities using a content block in Content Builder. - Email Client Privacy Metrics in Marketing Cloud Engagement Einstein
Some email client providers have privacy methods that impact open rate metrics and calculations. Einstein Metrics Guard provides more accurate predictions by discerning real opens from bot opens. - Einstein for Marketing Cloud Engagement Feature Overview and Requirements
Find out if using Einstein is right for your business. - Explore Marketing Cloud Engagement Einstein Solutions
Add AI to your marketing efforts, and see how Einstein can help your marketing organization solve common use cases with better results. Use Einstein Overview and Learning Center to review important key performance indicators for individual applications. - Understand the Data That Einstein Uses
Providing Einstein with good data makes it more likely to get good predictions. For Einstein predictive features, use data quality scores to understand the quality of the data that each Einstein app requires to generate predictions, insights, analytics, and more. Find data quality metrics on each Einstein app dashboard and Einstein Overview card. - Einstein Engagement Scoring
Einstein Engagement Scoring predicts consumer engagement with email and MobilePush messaging. It uses customer data and machine learning to assign scores for each contact’s likelihood to engage with emails or interact with push notifications. Einstein Engagement Scoring aggregates your customer data in a dashboard that provides audience-level insights and individual contact-level scores. - Einstein Messaging Insights
Einstein Messaging Insights alerts you to changes in your marketing performance no matter where you are in Marketing Cloud Engagement. The Einstein notifications badge appears in the header, where it’s constantly accessible to let you know how your email sends and journeys perform. When an anomaly occurs, the notifications badge alerts you. Go to the insights hub for more information about quantifying your results. - Einstein Send Time Optimization
Einstein Send Time Optimization (STO) in Marketing Cloud Engagement determines the best time to send a message. Using machine learning, Einstein predicts optimal send times so that a user is more likely to engage with your message. - Einstein Engagement Frequency
Avoid a lack of awareness from too few messages or burnout from too many messages. Einstein Engagement Frequency in Marketing Cloud Engagement evaluates your contacts and subscribers and identifies the optimal number of email messages to send. - Einstein Copy Insights
Einstein Copy Insights uses text analytics and natural language processing to analyze the text from your commercial email subject lines to uncover language insights. Use these insights to craft subject lines and body copy that drive stronger email engagement. - Einstein Content Selection
Einstein Content Selection is a no-code, open-time experimentation tool for personalized content. Because Einstein selects content at open time, it continues to evaluate for winning content while also experimenting to ensure that click-through rates are optimized. - Einstein Content Testing
To optimize engagement, quickly test images in Einstein Content Testing. For more complex personalized targeting, use Einstein Content Selection, which includes fatigue rules and targeted content based on user preferences. - Einstein Content Tagging
Einstein Content Tagging applies searchable tags to image files in your Marketing Cloud Engagement account. You can have Einstein add up to 25 tags per image. Einstein tags existing JPG, JPEG, and PNG files that are 10 MB or less. - Einstein Email Recommendations
Use Einstein Email Recommendations to observe customer behavior, build preference profiles, and deliver the next-best content or product. You can also refine recommendations to match your business rules. Recommendation content surfaces in placeholders for recommendations on your website. - Einstein Email and Web Recommendations Model Card
The model in this card analyzes and provides personalized product and content recommendations. - Einstein Web Recommendations
Einstein Web Recommendations use Einstein’s capabilities to observe behavior, build preference profiles, and deliver the next-best personalized content to each website visitor. Use scenarios in the application to refine recommendations to match your specific business rules. Predictive content is surfaced in placeholders for recommendations on your website. - A Marketer's Guide to the Trusted Use of Einstein
Salesforce believes that the benefits of AI can, and should, be accessible to everyone. But increasingly, AI is facing a crisis of trust. Therefore, trust is at the top of Salesforce’s priority list for customers. - Considerations for Generating Subject Lines and Body Copy in Marketing Cloud Engagement
When using Subject Line Generation and Body Copy Generation, keep in mind these usage limits and considerations.
1 Rights of ALBERT EINSTEIN are used with permission of The Hebrew University of Jerusalem.
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