{"id":20791,"date":"2015-11-18T05:00:00","date_gmt":"2015-11-18T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?post_type=sf_press_release&#038;p=20791"},"modified":"2020-09-18T00:37:30","modified_gmt":"2020-09-18T00:37:30","slug":"salesforce-announces-marketing-cloud-predictive-journeys-empowering-marketers-to-create-smarter-1-to-1-customer-journeys","status":"publish","type":"sf_press_release","link":"https:\/\/www.salesforce.com\/news\/press-releases\/2015\/11\/18\/salesforce-announces-marketing-cloud-predictive-journeys-empowering-marketers-to-create-smarter-1-to-1-customer-journeys\/","title":{"rendered":"Salesforce Announces Marketing Cloud Predictive Journeys, Empowering Marketers to Create Smarter 1-to-1 Customer Journeys"},"content":{"rendered":"<p>New Predictive Scores leverage data science to create smart profiles that predict each customer\u2019s likelihood to engage<br \/> <br \/> New Predictive Audiences automatically create customer segments, defining the best audience for any journey<br \/> <br \/> Leading brands like DonorsChoose.org, Mattel and Rue La La harness the Salesforce Marketing Cloud to connect with customers in a whole new waySAN FRANCISCO\u2014November 18, 2015\u2014Salesforce (NYSE: CRM), the Customer Success Platform and world&#8217;s #1 CRM company, today announced Salesforce Marketing Cloud Predictive Journeys, with Predictive Scores and Predictive Audiences. With Marketing Cloud Predictive Journeys, marketers can fuse CRM and marketing data with relevant contextual data such as web browsing activity and email engagement. And now, with Predictive Scores and Predictive Audiences, marketers can harness the power of data science to analyze customer engagement and predict the optimal next step in every customer journey.<br \/> <br \/> In the age of the connected customer, engagement must be real-time and relevant. Marketers want technology to tell them who to target, when to target them and in what channels with what message. They need to make decisions in the moment that are based on a multi-dimensional view of the customer and include their true interests and intent, not just channel preferences. However, given the massive volume of customer interactions, it is not feasible for marketers to analyze each piece of data for insights and make individual decisions. Marketers simply can\u2019t keep pace with every single customer and all of their interactions with a brand.<br \/> <br \/> According to Forrester Research1, just 36 percent of customer experience leaders say that their companies always track what happens during customer interactions. While there are customer experience tools in existence today, they are a bit like looking at a map at home before leaving for a trip. At one time, having a map was the best way to navigate, but the static data can&#8217;t deliver the optimal route. It can&#8217;t adapt to events that happen along the journey, like traffic jams or a road closure, to bring a person to their destination in the best way possible.<br \/> <br \/> Salesforce Marketing Cloud Predictive Journeys: Create Smarter 1-to-1 Customer Journeys<br \/> Today, Marketing Cloud Predictive Journeys, with Predictive Scores and Predictive Audiences, can deliver dynamic \u201cWaze-like\u201d customer experiences that go beyond answering the question of what content to send to each customer to engaging customers in a smarter way by predicting their likelihood to take a specific action.<br \/> <br \/> \u201cMarketers want to put the customer at the center of their thinking and allow them to define each moment that matters. Now marketers can create smarter journeys that deliver the right content exactly when the customer needs it,\u201d said Scott McCorkle, CEO of Salesforce Marketing Cloud, Salesforce. \u201cWith Salesforce Marketing Cloud Predictive Journeys, marketers can now go beyond simply meeting customer needs, to anticipating and greeting them at the next step of their journey as they arrive.\u201d<br \/> <br \/> New Salesforce Marketing Cloud Predictive Journeys breakthrough innovations include:<br \/> <br \/> ? Predictive Scores: Predictive Scores use data science to learn and score a customer\u2019s likelihood to engage. For example, an online retailer can use Predictive Scores to determine a customer\u2019s likelihood to open an email, unsubscribe from an email list or make a purchase. In addition, marketers can access new dashboards that include the overall score of individual customers aggregated into audience segments. This gives marketers the power to truly understand the behaviors that drive customer engagement. <br \/> ? Predictive Audiences: Predictive Audiences is a smart audience segmentation tool that unifies customer data by grouping audiences based on their Predictive Scores, creating highly targeted segments. For example, if a customer has a score indicating a high likelihood to unsubscribe, the retailer can launch a re-engagement journey with content proven to deliver better outcomes. As people begin engaging with the new content, their likelihood to unsubscribe goes down and they are automatically put into a new journey that takes them down a path leading to a higher score. <br \/> <br \/> Comments on the News<br \/> ? \u201cRue La La delivers the most-coveted brands and serves up style inspiration to the next-generation shopper,\u201d said Murali Narayanaswamy, VP, Marketing and Strategy, Rue La La. \u201cWith Salesforce Marketing Cloud, we will be able to create and execute smarter customer journeys based on understanding member browsing and shopping behaviors. This will allow us to forge a stronger bond with our loyal customer base.\u201d<br \/> ? &quot;Customers, empowered with new technology and inbound channels, now outpace many businesses&#8217; ability to respond. Marketers need systems that orchestrate and improve the effectiveness of customer dialogue across any channel,\u201d wrote Rusty Warner, principal analyst, Forrester Research in the October 2015 report entitled, \u201cCombine Systems of Insight and Engagement for Contextual Marketing.&quot; &quot;Rearview analytics \u2014 understanding how campaigns performed, how customer segments responded \u2014 is not sufficient to drive decisions that affect in-the-moment customer interactions. Advanced analytics methods predict and optimize customer behavior and enable marketers to proactively engage with customers.\u201d<br \/> <br \/> Global Leaders Deliver 1-to-1 Customer Journeys at Scale with the Salesforce Marketing Cloud<br \/> The Marketing Cloud is the world\u2019s leading marketing solution. It enables marketers to build a single view of the customer, plan and optimize the journey, deliver personalized content on every channels and device and measure the impact on their business. Leading brands like DonorsChoose.org, Mattel and Rue La La harness the Salesforce Marketing Cloud to connect with customers in a whole new way.<br \/> <br \/> Pricing and Availability<br \/> ? Salesforce Marketing Cloud Predictive Scoring and Audiences are currently in beta and are expected to be available in the first half of 2016.<br \/> ? Predictive Scoring and Audiences will be included with the Salesforce Marketing Enterprise edition and as add-on to Pro and Corporate editions. Pricing starts at $125 per month. <br \/> <br \/> Additional Information<br \/> ? Learn more about the Salesforce Marketing Cloud: https:\/\/www.salesforce.com\/marketing-cloud\/overview\/<br \/> <br \/> Connect with Salesforce<br \/> ? Like Salesforce Marketing Cloud on Facebook: www.facebook.com\/marketingcloud<br \/> ? Follow @salesforce and @marketingcloud on Twitter<br \/> <br \/> <br \/> \u201cSafe harbor\u201d statement under the Private Securities Litigation Reform Act of 1995: This press release contains forward-looking statements. The achievement or success of the matters covered by such forward-looking statements involves risks, uncertainties and assumptions. If any such risks or uncertainties materialize, or if any of the assumptions prove incorrect, the company\u2019s results could differ materially from the results expressed or implied by the forward-looking statements we make. Further information on factors that could affect the company\u2019s financial and other results is included in the reports on Forms 10-K, 10-Q and 8-K and in other filings we make with the Securities and Exchange Commission from time to time, including the company\u2019s most recent Form 10-K. These documents are available on the SEC Filings section of the Investor Information section of the company\u2019s website at www.salesforce.com\/investor. Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements, except as required by law.<br \/> <br \/> Salesforce, Salesforce1 and others are among the trademarks of salesforce.com, inc. Other names and brands may be claimed as the property of others.<br \/> <br \/> \u00a9 2015 salesforce.com. All rights reserved.<br \/> <br \/> 1. Forrester Research, &quot;Brief: What Dreamforce 2015 Tells CX Professionals About Connected Experiences&quot;, 10.26.15 <br \/> <br \/> ###<\/p>","protected":false},"excerpt":{"rendered":"<p>New Predictive Scores leverage data science to create smart profiles that predict each customer\u2019s likelihood to engage New Predictive Audiences automa<\/p>\n","protected":false},"author":0,"featured_media":0,"template":"","meta":{"sf_subhead":"New Predictive Scores leverage data science to create smart profiles that predict each customer\u2019s likelihood to engage New Predictive Audiences automa","sf_i18n_disclaimer":false,"alternateThumbnailId":0,"sf_product_cta_id":0,"footnotes":""},"sf_content_type":[1755,1792],"sf_theme":[1917,1912],"sf_topic":[1746,1734,1726,1758],"sf_product":[1759],"sf_industry":[1749,1787,1762],"sf_role":[],"sf_multimedia_asset":[],"sf_location":[1724],"sf_collection":[],"sf_visibility":[],"coauthors":[],"class_list":["post-20791","sf_press_release","type-sf_press_release","status-publish","hentry","sf_content_type-press-releases","sf_content_type-press-releases-product","sf_theme-customer-engagement","sf_theme-digital-transformation","sf_topic-commerce","sf_topic-customer-engagement","sf_topic-digital-transformation","sf_topic-marketing","sf_product-agentforce-marketing","sf_industry-consumer-goods","sf_industry-manufacturing","sf_industry-retail","sf_location-amer"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - 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