Einstein Features in Marketing Cloud
Posted: Sun Dec 22, 2024 8:31 am
Einstein is the Salesforce Marketing Cloud development that deals with Artificial Intelligence , which brings together a set of tools from this technology that analyze customer behavior through Machine Learning and predict their decisions. Thus, its objective is to offer recommendations based on previous behavior and is even capable of making a comparison of the preferences of customers for whom we have data to predict future behaviors for which we do not have data.
Salesforce Marketing Cloud and Einstein
At MarketiNet we promote technology, Artificial Intelligence and the new ways of working that it offers us.
Within Salesforce Marketing Cloud we have the Einstein philippine phone number module , the Artificial Intelligence developed by Salesforce , which through Machine Learning is able to make recommendations and forecasts of our users' actions based on previous behavior. And it can even predict future behaviors of users for whom we do not have data, making a comparison with the users for whom we do have data.
It is of great help when looking for the best strategic solutions for the business , creating unique experiences for customers, and even improving shipping KPIs .
First, in order to use Einstein's features properly , we must have a customer history . For better analysis and prediction, the minimum is 7 days of previous data, although the recommended amount is 28 days and the optimal amount is 3 months.
Einstein can help us with Smart Segmentation , Smart Orchestration and even Smart Content . Within Marketing Cloud, it is one of the main modules that, when selected, displays a menu with all the options available.
Einstein Options in Marketing Cloud
Ways to work with Einstein Salesforce
We have several options to work with Einstein: Einstein Engagement Scoring, Send Time Optimization, Engagement Frequency, Copy Insights; among others. Here we mention some of the most used ones:
Smart Segmentation , which is developed with Einstein Engagement Scoring , which uses customer data and machine learning to generate predictive models by assigning scores. With this, it measures the probability that a contact will interact with the emails.
Einstein can also act with intelligent orchestration . It does this by optimizing the sending time, which determines the optimal time for an email or push notification to be sent.
And also through Einstein Engagement Frequency , evaluating our contacts and identifying the ideal amount of messages, whether emails or push notifications that a customer would receive, avoiding saturation or lack of contact with the brand with few messages.
Smart content is done through the Einstein Copy Insight tool . What this does is analyze the text that we put in the subject of the email, giving scores to those that have had the most interaction. We also have Einstein Content Selection.
Messaging Insights are the messaging perspectives that allow us to see alerts about the performance of the campaigns, and can also inform us of anomalies. In this case, Einstein monitors the KPIs of openings, clicks and unsubscriptions; and, if in any delivery it finds these rates too high or too low compared to what was expected, it generates information.
Salesforce Marketing Cloud and Einstein
At MarketiNet we promote technology, Artificial Intelligence and the new ways of working that it offers us.
Within Salesforce Marketing Cloud we have the Einstein philippine phone number module , the Artificial Intelligence developed by Salesforce , which through Machine Learning is able to make recommendations and forecasts of our users' actions based on previous behavior. And it can even predict future behaviors of users for whom we do not have data, making a comparison with the users for whom we do have data.
It is of great help when looking for the best strategic solutions for the business , creating unique experiences for customers, and even improving shipping KPIs .
First, in order to use Einstein's features properly , we must have a customer history . For better analysis and prediction, the minimum is 7 days of previous data, although the recommended amount is 28 days and the optimal amount is 3 months.
Einstein can help us with Smart Segmentation , Smart Orchestration and even Smart Content . Within Marketing Cloud, it is one of the main modules that, when selected, displays a menu with all the options available.
Einstein Options in Marketing Cloud
Ways to work with Einstein Salesforce
We have several options to work with Einstein: Einstein Engagement Scoring, Send Time Optimization, Engagement Frequency, Copy Insights; among others. Here we mention some of the most used ones:
Smart Segmentation , which is developed with Einstein Engagement Scoring , which uses customer data and machine learning to generate predictive models by assigning scores. With this, it measures the probability that a contact will interact with the emails.
Einstein can also act with intelligent orchestration . It does this by optimizing the sending time, which determines the optimal time for an email or push notification to be sent.
And also through Einstein Engagement Frequency , evaluating our contacts and identifying the ideal amount of messages, whether emails or push notifications that a customer would receive, avoiding saturation or lack of contact with the brand with few messages.
Smart content is done through the Einstein Copy Insight tool . What this does is analyze the text that we put in the subject of the email, giving scores to those that have had the most interaction. We also have Einstein Content Selection.
Messaging Insights are the messaging perspectives that allow us to see alerts about the performance of the campaigns, and can also inform us of anomalies. In this case, Einstein monitors the KPIs of openings, clicks and unsubscriptions; and, if in any delivery it finds these rates too high or too low compared to what was expected, it generates information.