--- schema_version: "1" id: fb2e32aab861ddf2460938b66145af778c2929d7909381b0b5258518d0968a64 title: Salesforce Personalization in Marketing Cloud Next collection: admin version: current locale: en-us portal_url: https://docs.salesforce.com/admin/current/en-us/release-notes/260-0-0/rn_personalization.md canonical_url: https://help.salesforce.com/s/articleView?id=release-notes.rn_personalization.htm&release=260&type=5 source_site: help.salesforce.com content_type: documentation content_hash: 8677dd45b2141d31d0e38cae06a483cb4bec2f0f1c66ccce016d00634e19e74a description: Salesforce Personalization in Marketing Cloud Next enhancements includes updates for both the Salesforce Personalization and Marketing Cloud Personalization products. Learn about the latest features and updates to enhance personalized experiences across Salesforce clouds. products: - Cross Cloud Packages Solutions release: "260" --- # Salesforce Personalization in Marketing Cloud Next Salesforce Personalization in Marketing Cloud Next enhancements includes updates for both the Salesforce Personalization and Marketing Cloud Personalization products. Learn about the latest features and updates to enhance personalized experiences across Salesforce clouds. - **[Personalization Features Released by Month](https://help.salesforce.com/s/articleView?id=release-notes.rn_salesforce_personalization_features_released_by_month.htm&release=260&type=5)** Salesforce Personalization and Marketing Cloud Personalization features and changes are released as often as monthly, so check back again soon for the latest updates. When announced, changes included in the Spring release will appear under January ’26. - **[Localize Recommendations for Salesforce Personalization](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_localize_recommendations.htm&release=260&type=5)** Deliver recommendations in your customers' preferred languages by configuring localization in Personalization Setup. Mapping locale-related fields to specific attributes ensures customers see translated content relevant to their region. You can also define fallback attributes to provide recommendations when a locale is unspecified. - **[Capture More Relevant Engagement Data for Evaluation](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_added_es_filter_operators.htm&release=260&type=5)** We’ve enhanced engagement signal filtering to include a variety of filter operators. These operators enable you to more easily evaluate only relevant engagement data for custom objectives, attribution models, and experiments. - **[Accelerate Data 360 Web Connector Setup with the Marketing Cloud Personalization Sitemap Converter](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_sitemap_converter.htm&release=260&type=5)** Automatically identify and modify components in a Marketing Cloud Personalization sitemap that are incompatible with Data 360. This tool helps to better align your Marketing Cloud Personalization sitemap with the Data 360 sitemap format, creating a more closely compatible version and providing a detailed report for any necessary manual updates. Use this conversion tool to reduce the manual effort required for complex sitemap transformations. - **[Use Customized Web Data Streams to Capture Engagement Data in Data 360 for Salesforce Personalization](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_web_data_streams.htm&release=260&type=5)** We’ve improved the Marketing Cloud Personalization metadata transfer tool to include custom web data streams. Use these streams to more efficiently transfer your current Marketing Cloud Personalization behavioral events, identity, and contact point email data to Data 360 for use by Salesforce Personalization. To help facilitate metadata transfer, we’ve included a new profile engagement metadata transfer data kit (Persnl Prfl Engmt Metadata Transfer) in the .zip file generated by the metadata transfer tool. - **[Maximize Revenue with Impactful Promotion Recommendations](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_max_rev_with_impactful_promotion_recommendations.htm&release=260&type=5)** To ensure promotions stay relevant and drive purchases, the new out-of-the-box recommender uses real-time engagement signals and order history to suggest offers your customers are likely to use. This update simplifies handling promotions that are indirectly tied to products, ensuring customers see the most impactful offers. After configuring profile and item data graphs with the necessary Data 360 entities in Salesforce Personalization, you’re all set to add this capability to any personalization point. - **[Personalize Decision Responses with Merge Fields](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_personalize_decision_responses_with_merge_fields.htm&release=260&type=5)** You are no longer limited to one-size-fits-all messages in decision responses. Deliver personalized decision responses to your users by adding merge fields from profile data graphs. Include direct attributes such as your user’s first name in decision responses or segment IDs to use in personalization campaigns in third party apps. For instance, personally greet a user and display their current loyalty points in an infobar. This flexibility ensures every interaction is tailored to the individual, turning generic notifications into meaningful, data-driven touchpoints. - **[Use Real-Time Calculated Affinities to Gain Customer Preference Insights](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_rt_calculated_affinities.htm&release=260&type=5)** Calculated affinities measure characteristics that indicate a customer’s interest in or liking of an object. Create and use real-time calculated affinities with personalization point targeting rules, segments, and recommendation filters to generate highly focused personalized content based on customer preferences. - **[Build Data 360 Sitemaps for Personalization Using the Sitemap Builder](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_data_360_sitemap_builder.htm&release=260&type=5)** Create Data 360 sitemaps and schema using a low-code to no-code Chrome extension tool. - **[Sort Rule-Based Recommendations Meaningfully](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_sort_recommendations_for_recently_viewed.htm&release=260&type=5)** You can now sort recommendations using direct attributes from item data graphs or calculated insights from profile data graphs. For example, to display the most recently viewed products at the top of your recommendations, configure the recommender to sort products by the engagement date and time in descending order. With this flexibility, you can rank recommendations based on specific user interactions such as favorited items, direct item attributes such as inventory count, or external intelligence such as brand affinity score from an external system. - **[Show or Hide Recommendations Based on Date and Time](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_refine_recommendation_filters_date_time_operators.htm&release=260&type=5)** Provide more precise targeting by using the new Is Before Current DateTime and Is After Current DateTime operators in a recommendation filter. These operators show or hide recommendations based on the current date and time. - **[Automate Testing Using Experimentation as a Service](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_experimentation_api.htm&release=260&type=5)** Run experiments across web and server-side environments by integrating the new Experiment Connect and Runtime Experiment Assignment APIs directly into your workflows. Automate winner selection testing and deploy relevant customer experiences without manual intervention. - **[Set Up Salesforce Personalization With an Improved Workflow](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_rt_setup_ui_updates.htm&release=260&type=5)** We’ve reorganized some Salesforce Personalization Setup pages to improve the foundational data and intelligence setup experience. This updated workflow changes how you select and manage data spaces for Salesforce Personalization data deployment and intelligence dashboard installation. - **[Extend Marketing Cloud Personalization Data with Marketing Cloud Next for Personalization](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_extend_mc_pers_data_mcn.htm&release=260&type=5)** Using purpose-built tools, quickly and efficiently transfer Marketing Cloud Personalization metadata and catalog data to portable files, and use existing processes to import it into Data 360 for use with Salesforce Personalization. - **[Personalize Mobile Experiences with Engagement Mobile SDK](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_personalize_mobile_experiences.htm&release=260&type=5)** The Personalization module within the Engagement Mobile SDK queries the Personalization service to deliver targeted content to your iOS and Android apps. By integrating with the Data 360 module, you capture customer interactions and build behavior profiles. Use the returned data to drive real-time personalization decisions. - **[Curate Website Content with Agentforce Adaptive Websites](https://help.salesforce.com/s/articleView?id=release-notes.rn_persnl_curate_website_content_agentforce_adaptive_websites.htm&release=260&type=5)** Guide your users through every step of their website browsing journey by dynamically curating relevant, context-aware site content in real time. Agentforce Adaptive Websites displays the right recommendations, images, and adapts messaging tone based on real-time user behavior signals from an SDK combined with your data. Keep your customers engaged and assist them in accomplishing their mission without leaving your brand’s site.