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Salesforce, the Customer Success Platform, has launched Salesforce Marketing Cloud Predictive Decisions. With Predictive Decisions, marketers can now harness the power of data science to analyze customer engagement and proactively deliver new recommended content, products or offers to customers, creating highly personalized journeys across channels at scale. Salesforce Marketing Cloud fuses CRM and marketing data with relevant contextual data such as web browsing activity, using native predictive intelligence decisions to increase conversions and engagement in a single, easy-to-use application.
In today’s data-rich world, marketers have ample access to customer engagement information, but it’s nearly impossible to deliver personalized content to every customer and connect interactions across the entire journey. In fact, 36 percent of marketers struggle to apply customer insights to continually improve customer experiences and 42 percent say they have difficulty analyzing data from all customer interactions, according to the August 2014 commissioned study, Refresh Your Approach to 1:1 Marketing, a study conducted by Forrester Consulting on behalf of Salesforce Marketing Cloud.
Marketing Cloud Predictive Decisions Places Data Science in the Hands of Marketers
With Predictive Decisions, marketers will be able to harness data science and scale personalized campaign execution across marketing, resulting in an experience that surprises and delights customers. They will also be able to create intelligent programs that move beyond contextual engagement to predictive marketing, using integrated cross-channel data with new workflow and automation. Predictive Decisions will constantly update anonymous and known customer profiles so marketers can understand preferences. It will also leverage sophisticated algorithms to make predictions about the next best content, product or offer and automate its delivery to increase conversions and engagement.
New Salesforce Marketing Cloud Predictive Decisions breakthrough innovations include: