{"id":21880,"date":"2020-08-25T19:17:32","date_gmt":"2020-08-25T13:47:32","guid":{"rendered":"https:\/\/email.uplers.com\/blog\/?p=21880"},"modified":"2022-05-18T17:18:06","modified_gmt":"2022-05-18T11:48:06","slug":"everything-you-ever-wanted-to-know-about-einstein-send-time-optimization-for-sfmc-journey-builder","status":"publish","type":"post","link":"https:\/\/email.uplers.com\/blog\/everything-you-ever-wanted-to-know-about-einstein-send-time-optimization-for-sfmc-journey-builder\/","title":{"rendered":"Everything You Ever Wanted To Know About Einstein Send Time Optimization For SFMC Journey Builder"},"content":{"rendered":"\n\n\n\n<p><em>Einstein<\/em>: the very name conjures images of a wild-haired Professor type of person who spouts arcane, potentially world-changing theories about light, gravity and relativity.<\/p>\n\n\n\n<p>But this article is not about <em>Einstein<\/em> the (real) scientist, but about <em>Einstein<\/em> the (real) feature in Salesforce Marketing Cloud (SFMC). Specifically, it is about Einstein Send Time Optimization, one of the most exciting new additions to <a href=\"https:\/\/email.uplers.com\/blog\/sfmc-journey-builder-everything-you-should-know\/\">SFMC Journey Builder<\/a>.<\/p>\n\n\n\n<p>To ensure the success of an email marketing campaign, every email marketer must know that there is no <em>one<\/em>&nbsp;best time<em> <\/em>or<em> <\/em>day<em> <\/em>to<em> <\/em>send emails to<em> everyone<\/em>. Why? Because every subscriber engages with a brand\u2019s emails at different times or on different days. That\u2019s why, marketers need to find the best (or most optimal) time for <em>each<\/em> subscriber. Only then can they increase their email eyeballs. But doing this manually is impossible. Here\u2019s where Einstein Send Time Optimization can be a true game-changer for email marketers.<\/p>\n\n\n\n<p>So if <em>you<\/em> are <a href=\"https:\/\/email.uplers.com\/hire-dedicated-email-developer\/\">an email developer<\/a> or email marketer looking for a powerful way to predict the best send times for your subscriber base, then this article is for you.<\/p>\n\n\n<div class=\"banner_wrapper\" style=\"\"><div class=\"banner  banner-19773 bottom vert custom-banners-theme-default_style\" style=\"\"><a class=\"custom_banners_big_link\"  target=\"_blank\"  href=\"https:\/\/email.uplers.com\/salesforce-marketing-cloud-email-specialist\/\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"200\" src=\"https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/04\/SFMC-EMAIL-UPLERS.png\" class=\"attachment-full size-full\" alt=\"Hire a team of SFMC experts to help with your email campaign management\" srcset=\"https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/04\/SFMC-EMAIL-UPLERS.png 800w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/04\/SFMC-EMAIL-UPLERS-300x75.png 300w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/04\/SFMC-EMAIL-UPLERS-768x192.png 768w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/04\/SFMC-EMAIL-UPLERS-624x156.png 624w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/a><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is <\/strong><strong>Einstein Send Time Optimization<\/strong><strong>?<\/strong><\/h2>\n\n\n\n<p>In simplest terms, Einstein Send Time Optimization (STO) in SFMC Journey Builder is a way to automatically determine the best (i.e. <em>optimal<\/em>) time to send an email to a subscriber. This automation, which is powered by Machine Learning, enables<a href=\"https:\/\/email.uplers.com\/email-marketing-campaign-manager\/\"> email marketing managers<\/a> to predict when each contact in the journey is most likely to engage with an email within the next 24 hours. By evaluating a number of different factors and criteria, plus each contact\u2019s latest weekly engagement data (\u2018individualized analysis\u2019), the Einstein STO Journey Builder activity helps marketers and email developers increase email and push notification engagement.<\/p>\n\n\n\n<p>One of the keys to Einstein STO\u2019s prediction success is <em>modeling<\/em>. Based on its powerful data analysis capabilities, Einstein STO recreates a sending model for sends with the <em>Commercial send classification<\/em> to predict optimal send times, so that the message is most likely to be opened.<\/p>\n\n\n\n<p>Einstein STO is available with SFMC Corporate, Enterprise or Pro editions with the Journey Builder add-on. To access Einstein STO (if it is available in your SFMC license), click on the <em>Einstein Tab<\/em> in the <em>Navigation bar.<\/em><\/p>\n\n\n\n<p>The Einstein STO Journey Builder activity is available in <em>Flow Controls<\/em> in the SFMC customer <em>Journey Builder<\/em>.&nbsp; Drag and drop the \u2018Einstein STO\u2019 activity immediately before any Email Activity in the journey flow. For multiple emails in a customer journey builder flow, drag and drop the \u2018Einstein STO\u2019 activity before each email activity.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How does <\/strong><strong>Einstein Send Time Optimization<\/strong><strong> work?<\/strong><\/h2>\n\n\n\n<p>Einstein STO uses 90 days of <a href=\"https:\/\/email.uplers.com\/infographics\/re-engagement-emails\/\">email engagement<\/a> data (history) within the Enterprise (top-level tenant in SFMC Email Studio) to determine the best time within the next 24 hours to email each contact. It gathers data for about 20 factors such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Engagement Behavior:<\/em> Sends, clicks, opens, unsubscribes, spam complaints and associated timestamps<\/li><\/ul>\n\n\n\n<p>and<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Data and metadata about customer sending patterns and how campaigns are executed<\/li><\/ul>\n\n\n\n<p>Next, it uses Machine Learning to assign a weight to each factor according to that factor\u2019s \u2018influence\u2019 on predicting future engagement behavior.<\/p>\n\n\n\n<p>Then, it analyzes this data and for each contact, assigns a \u2018likelihood\u2019 score to each of the 168 hours (24 x 7) in a week to create a sending model. Since customer sending patterns vary greatly, Einstein STO makes use of \u2018parameter sets\u2019 that are best suited for different patterns. Then a parameter selector bases its decision on the variation of the sending and opening patterns over 90 days of history.<\/p>\n\n\n\n<p>Each customer\u2019s model is trained only using that customer\u2019s data. Einstein STO uses this data to recommend the optimal email send times that are most likely to lead to opens.<\/p>\n\n\n\n<p><em>Example: How Einstein Send Time Optimization optimizes the send time of each message in each contact\u2019s journey<\/em><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1-1024x577.png\" alt=\"Einstein Send Time Optimization Example\" class=\"wp-image-21896\" srcset=\"https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1-1024x577.png 1024w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1-300x169.png 300w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1-768x433.png 768w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1-249x140.png 249w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1-624x351.png 624w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/08\/1.png 1884w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<p>Einstein STO sends always occur at the beginning of the best scoring hour for each customer.<\/p>\n\n\n\n<p>The Einstein Send Time Optimization dashboard displays analytics that predict future message engagement. We will cover the dashboard in a subsequent section.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Journey Builder test<\/strong><strong> for <\/strong><strong>Einstein Send Time Optimization<\/strong><\/h2>\n\n\n\n<p>By incorporating Einstein STO into customer journey builder sends, email marketers can improve their chances of delivering each message to each subscriber at the time that\u2019s just right for that subscriber. However, a Journey Builder test for Einstein STO can help them measure the impact of STO and iron out any challenges.<\/p>\n\n\n\n<p>Here\u2019s a step-by-step way to carry out the Journey Builder test for Einstein STO:<\/p>\n\n\n\n<p><em>Step 1:<\/em> Select a journey and segment off of a percentage of the traffic using a <em>random split<\/em>.<\/p>\n\n\n\n<p><em>Example: <\/em>the split directs half the contacts in the journey to a path where a wait activity precedes an email activity, and the other half to a branch where the Einstein STO activity precedes an email activity.<\/p>\n\n\n\n<p><em>Step 2<\/em>: Drop in the Send Time Optimization tile only on that small branch.<\/p>\n\n\n\n<p><em>Step 3<\/em>: After enough contacts have flowed through the Journey Builder test,&nbsp;compare the open and click rates of the email that follows the STO activity with the open and click rates of the email that does. The numbers will give you a true measure of the impact of send time optimization.<\/p>\n\n\n<div class=\"banner_wrapper\" style=\"\"><div class=\"banner  banner-20791 bottom vert custom-banners-theme-default_style\" style=\"\"><a class=\"custom_banners_big_link\"  target=\"_blank\"  href=\"https:\/\/email.uplers.com\/salesforce-marketing-cloud-email-specialist\/\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"200\" src=\"https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/07\/journeys-in-SFMC-1.jpg\" class=\"attachment-full size-full\" alt=\"Let us help in building personalized journeys in SFMC\" srcset=\"https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/07\/journeys-in-SFMC-1.jpg 800w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/07\/journeys-in-SFMC-1-300x75.jpg 300w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/07\/journeys-in-SFMC-1-768x192.jpg 768w, https:\/\/email.uplers.com\/blog\/wp-content\/uploads\/2020\/07\/journeys-in-SFMC-1-624x156.jpg 624w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/a><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How to activate <\/strong><strong>Einstein Send Time Optimization<\/strong><strong> in SFMC for subscribers with low data<\/strong><\/h2>\n\n\n\n<p><em>What if <\/em><em>Einstein Send Time Optimization<\/em><em> doesn\u2019t have enough data to create a sending model with optimized send times for each subscriber?<\/em><\/p>\n\n\n\n<p>If Einstein doesn\u2019t have enough data to create a sending model for a particular contact, the contact receives messages according to a \u2018generalized\u2019 model. This model is derived from sending data already available in Enterprise. To activate it in such cases, follow these steps:<\/p>\n\n\n\n<p><em>Step 1:<\/em> In SFMC, expand Einstein, and click <em>Send Time Optimization<\/em>.<\/p>\n\n\n\n<p><em>Step 2: <\/em>Choose a message channel by clicking a tab.<\/p>\n\n\n\n<p>Step 3: Click Activate.<\/p>\n\n\n\n<p><em>Step 4:<\/em> Select the send time that the Einstein STO activity uses when enough information about a subscriber is not available to determine the optimal send time.<\/p>\n\n\n\n<p><em>Step 5:<\/em> Click <em>Update<\/em>.<\/p>\n\n\n\n<p><em>Step 6:<\/em> Click <em>Settings<\/em>.<\/p>\n\n\n\n<p><em>Step 7:<\/em> Select the time zone that STO observes when sending.<\/p>\n\n\n\n<p>After activation, make sure you allow up to 72 hours to complete the data transfer and analysis required to optimize sends through SFMC\u2019s customer Journey Builder.<\/p>\n\n\n\n<p>This method is not as accurate or personalized as a contact-specific sending model, but compared to not using Einstein STO at all, it still increases the likelihood of opens. That\u2019s why it should still be a crucial element of your email marketing and customer journey builder strategy.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Einstein Send Time Optimization<\/strong><strong> Dashboard<\/strong><\/h2>\n\n\n\n<p>With the Einstein STO dashboard, a salesforce marketing cloud specialist can easily visualize optimal predicted send times by the day or hour for all contacts in their business unit. Knowing this can help him choose the best time for batch sends.<br \/><\/p>\n\n\n\n<p>Here are some of the data types that marketers can view on Einstein STO dashboard:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Total email addresses analyzed<\/em>: The total number of contacts in the business unit or unique email addresses in the tenant<\/li><li><em>Assigned Personalized Send Time: <\/em>How many contacts or email addresses Einstein STO can suggest a send time for<\/li><li><em>Pending Personalized Send Time<\/em>: How many contacts Einstein needs more data to suggest a send time for<\/li><li><em>When Are Messages Likely To Be Opened section<\/em>: Delivery times during the week when contacts are most likely to open email messages<\/li><li><em>When Would Einstein Send section<\/em>:<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Total number or contacts or email addresses in the business unit or Enterprise account<\/li><li>Optimal send times by hour for a day or for all days of the week<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Wrap up<\/strong><\/h2>\n\n\n\n<p>Despite its powerful Machine Learning-based capabilities, not a lot of email marketers use Einstein Send Time Optimization for their <a href=\"https:\/\/email.uplers.com\/email-marketing-campaign-management-services\/\">email campaigns<\/a>. Therefore those who do use it automatically get an edge over their competitors. With the capacity to garner more opens and Einstein engagements scoring, Einstein STO should definitely be a part of your email marketing toolkit.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Einstein: the very name conjures images of a wild-haired Professor type of person who spouts arcane, potentially world-changing theories about light, gravity and relativity. But this article is not about Einstein the (real) scientist, but about Einstein the (real) feature in Salesforce Marketing Cloud (SFMC). Specifically, it is about Einstein Send Time Optimization, one of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":21883,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1158],"tags":[],"class_list":["post-21880","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-salesforce-marketing-cloud"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Salesforce Einstein Email STO for SFMC Journey Builder<\/title>\n<meta name=\"description\" content=\"Learn how Salesforce Einstein Email Send Time Optimization for SFMC Journey Builder will improve Einstein email engagements scoring with powerful AI capabilities.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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