{"componentChunkName":"component---src-templates-markdown-template-jsx","path":"/guides/audiences/overview/","result":{"data":{"pageMetadata":{"title":"Audiences Overview","path":"/guides/audiences/overview/","sourceCode":null,"metadataParent":{"title":"Audiences","path":"/guides/audiences/","sourceCode":null,"hasVersionPicker":null,"metadataChildren":[{"title":"Audiences Overview","path":"/guides/audiences/overview/","order":1,"label":null},{"title":"Create an Audience","path":"/guides/audiences/create-an-audience/","order":2,"label":null},{"title":"Connect an Audience","path":"/guides/audiences/connect-an-audience/","order":3,"label":null},{"title":"Manage Audiences","path":"/guides/audiences/manage-audiences/","order":4,"label":null},{"title":"Audience Insights","path":"/guides/audiences/audience-insights/","order":5,"label":null},{"title":"Audience Sharing","path":"/guides/audiences/audience-sharing/","order":6,"label":null},{"title":"Match Boost","path":"/guides/audiences/match-boost/","order":7,"label":null},{"title":"Inclusive & Exclusive Audiences (Early Access)","path":"/guides/audiences/early-access/","order":8,"label":null},{"title":"Audience Expansion","path":"/guides/audiences/audience-expansion/","order":8,"label":null},{"title":"Predictive Audiences","path":"/guides/audiences/predictive-audiences/","order":10,"label":null},{"title":"Composable Audiences","path":"/guides/audiences/composable-audiences/","order":11,"label":null}],"metadataParent":{"title":"Guides","path":"/guides/","metadataChildren":[{"title":"Platform Overview","path":"/guides/platform-overview/","order":0.5,"label":null},{"title":"Getting Started","path":"/guides/getting-started/","order":1,"label":null},{"title":"mParticle Agent","path":"/guides/mparticle-agent/","order":1.5,"label":null},{"title":"Oversight","path":"/guides/oversight/","order":2,"label":null},{"title":"Data Platform","path":"/guides/data-platform/","order":3,"label":null},{"title":"Data Warehouse","path":"/guides/data-warehouse/","order":4,"label":null},{"title":"Customer 360","path":"/guides/customer-360/","order":5,"label":null},{"title":"Analytics","path":"/guides/analytics/","order":6,"label":null},{"title":"Audiences","path":"/guides/audiences/","order":7,"label":null},{"title":"Settings","path":"/guides/settings/","order":8,"label":null},{"title":"Troubleshooting mParticle","path":"/guides/troubleshooting/","order":10,"label":null},{"title":"Default Service Limits","path":"/guides/default-service-limits/","order":11,"label":null},{"title":"Glossary","path":"/guides/glossary/","order":12,"label":null}],"metadataParent":null}}},"markdownRemark":{"html":"<p>mParticle allows you to define sophisticated, intelligent segments and deliver personalized experiences using both rules-based and predictive capabilities. Our machine learning engine analyzes user behavior patterns to help you identify and reach users most likely to take desired actions.</p>\n<p>You can define audiences using any user-associated data captured with mParticle, whether from platform inputs or partner feeds, and enhance them with predictive insights.</p>\n<p>When you fully instrument your app using the mParticle SDK, you send data from apps to the mParticle platform. This data feeds both traditional segmentation and our predictive models. You can also enrich that data stream with other sources like CRM data or purchase data from other channels. Comprehensive data capture improves both immediate segmentation and predictive accuracy.</p>\n<aside class=\"notice\">\n  If you need to send data via our Events API, please <a href=\"mailto:support@mparticle.com\"> contact our customer support team.</a>\n</aside>\n<h2 id=\"navigate-to-audiences\" style=\"position:relative;\"><a href=\"#navigate-to-audiences\" aria-label=\"navigate to audiences permalink\" class=\"anchor before\"><svg width=\"16px\" height=\"17px\" viewBox=\"0 0 16 17\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n                <g id=\"Symbols\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\">\n                    <g id=\"Icon/Link\" fill=\"#98A0A3\" fill-rule=\"nonzero\">\n                        <g id=\"link\">\n                            <path d=\"M9.5,12.4 C9.6,12.4 9.7,12.4 9.9,12.4 C9.8,12.5 9.8,12.5 9.7,12.6 L7.5,14.8 C5.8,16.5 3,16.5 1.3,14.8 C-0.4,13.1 -0.4,10.3 1.3,8.6 L3.5,6.4 C3.6,6.3 3.6,6.3 3.7,6.2 C5,5 6.9,4.8 8.4,5.5 C8.8,5.7 9.3,6 9.6,6.4 C10,6.7 10.2,7.2 10.5,7.6 C10.2,7.9 9.9,8 9.5,8 C9.4,8 9.2,8 9.1,7.9 C8.9,7.5 8.5,7.2 8.1,6.9 C7,6.2 5.5,6.4 4.5,7.3 L3.8,8 L2.3,9.5 C1.2,10.6 1.2,12.5 2.3,13.6 C3.4,14.7 5.3,14.7 6.4,13.6 L7.9,12.1 C8.4,12.3 8.9,12.4 9.5,12.4 Z M14.7,1.3 C13,-0.4 10.2,-0.4 8.5,1.3 L6.3,3.5 C6.2,3.6 6.2,3.6 6.1,3.7 C6.7,3.7 7.4,3.7 8,3.9 L9.5,2.4 C10.6,1.3 12.5,1.3 13.6,2.4 C14.7,3.5 14.7,5.4 13.6,6.5 L12.1,8 L11.4,8.7 C10.4,9.7 8.9,9.8 7.8,9.1 C7.4,8.9 7.1,8.5 6.8,8.1 C6.7,8.1 6.5,8 6.4,8 C6,8 5.6,8.2 5.4,8.4 C5.6,8.8 5.9,9.3 6.3,9.6 C6.6,10 7.1,10.2 7.5,10.5 C9,11.2 10.9,11 12.3,9.8 C12.4,9.7 12.4,9.7 12.5,9.6 L14.7,7.4 C16.4,5.7 16.4,3 14.7,1.3 Z\" id=\"Shape\"></path>\n                        </g>\n                    </g>\n                </g>\n            </svg></a>Navigate to Audiences</h2>\n<p>Select <strong>Audiences</strong> in the left-hand navigation to open the shared landing page for in-platform and composable audiences and audience groups. You can also select <strong>Audiences</strong> on the Overview Map.</p>\n<p>Click <strong>New Audience</strong> to open <strong>Create Audience</strong>. You can build with <strong>mParticle Agent</strong>, start from scratch, or start from an existing audience. Under <strong>Start from scratch</strong>, <strong>Select Audience Source</strong> provides an <strong>In-Platform Audience</strong> source for platform inputs and feeds, or a <strong>Composable Audience</strong> source for a warehouse connection and user data model.</p>\n<ul>\n<li><a href=\"/guides/audiences/manage-audiences/\">Manage Audiences</a> explains how to find, review, and manage audiences and audience groups.</li>\n<li><a href=\"/guides/audiences/create-an-audience/\">Create an Audience</a> explains how to build a real-time audience using in-platform data.</li>\n<li><a href=\"/guides/audiences/composable-audiences/user-guide/audiences/\">Composable Audience Setup</a> explains how to build an audience using warehouse data.</li>\n</ul>\n<h2 id=\"examples\" style=\"position:relative;\"><a href=\"#examples\" aria-label=\"examples permalink\" class=\"anchor before\"><svg width=\"16px\" height=\"17px\" viewBox=\"0 0 16 17\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n                <g id=\"Symbols\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\">\n                    <g id=\"Icon/Link\" fill=\"#98A0A3\" fill-rule=\"nonzero\">\n                        <g id=\"link\">\n                            <path d=\"M9.5,12.4 C9.6,12.4 9.7,12.4 9.9,12.4 C9.8,12.5 9.8,12.5 9.7,12.6 L7.5,14.8 C5.8,16.5 3,16.5 1.3,14.8 C-0.4,13.1 -0.4,10.3 1.3,8.6 L3.5,6.4 C3.6,6.3 3.6,6.3 3.7,6.2 C5,5 6.9,4.8 8.4,5.5 C8.8,5.7 9.3,6 9.6,6.4 C10,6.7 10.2,7.2 10.5,7.6 C10.2,7.9 9.9,8 9.5,8 C9.4,8 9.2,8 9.1,7.9 C8.9,7.5 8.5,7.2 8.1,6.9 C7,6.2 5.5,6.4 4.5,7.3 L3.8,8 L2.3,9.5 C1.2,10.6 1.2,12.5 2.3,13.6 C3.4,14.7 5.3,14.7 6.4,13.6 L7.9,12.1 C8.4,12.3 8.9,12.4 9.5,12.4 Z M14.7,1.3 C13,-0.4 10.2,-0.4 8.5,1.3 L6.3,3.5 C6.2,3.6 6.2,3.6 6.1,3.7 C6.7,3.7 7.4,3.7 8,3.9 L9.5,2.4 C10.6,1.3 12.5,1.3 13.6,2.4 C14.7,3.5 14.7,5.4 13.6,6.5 L12.1,8 L11.4,8.7 C10.4,9.7 8.9,9.8 7.8,9.1 C7.4,8.9 7.1,8.5 6.8,8.1 C6.7,8.1 6.5,8 6.4,8 C6,8 5.6,8.2 5.4,8.4 C5.6,8.8 5.9,9.3 6.3,9.6 C6.6,10 7.1,10.2 7.5,10.5 C9,11.2 10.9,11 12.3,9.8 C12.4,9.7 12.4,9.7 12.5,9.6 L14.7,7.4 C16.4,5.7 16.4,3 14.7,1.3 Z\" id=\"Shape\"></path>\n                        </g>\n                    </g>\n                </g>\n            </svg></a>Examples</h2>\n<p>Use audiences to create sophisticated segments powered by both rules and machine learning.</p>\n<h3 id=\"drive-user-engagement-through-intelligent-segmentation\" style=\"position:relative;\"><a href=\"#drive-user-engagement-through-intelligent-segmentation\" aria-label=\"drive user engagement through intelligent segmentation permalink\" class=\"anchor before\"><svg width=\"16px\" height=\"17px\" viewBox=\"0 0 16 17\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n                <g id=\"Symbols\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\">\n                    <g id=\"Icon/Link\" fill=\"#98A0A3\" fill-rule=\"nonzero\">\n                        <g id=\"link\">\n                            <path d=\"M9.5,12.4 C9.6,12.4 9.7,12.4 9.9,12.4 C9.8,12.5 9.8,12.5 9.7,12.6 L7.5,14.8 C5.8,16.5 3,16.5 1.3,14.8 C-0.4,13.1 -0.4,10.3 1.3,8.6 L3.5,6.4 C3.6,6.3 3.6,6.3 3.7,6.2 C5,5 6.9,4.8 8.4,5.5 C8.8,5.7 9.3,6 9.6,6.4 C10,6.7 10.2,7.2 10.5,7.6 C10.2,7.9 9.9,8 9.5,8 C9.4,8 9.2,8 9.1,7.9 C8.9,7.5 8.5,7.2 8.1,6.9 C7,6.2 5.5,6.4 4.5,7.3 L3.8,8 L2.3,9.5 C1.2,10.6 1.2,12.5 2.3,13.6 C3.4,14.7 5.3,14.7 6.4,13.6 L7.9,12.1 C8.4,12.3 8.9,12.4 9.5,12.4 Z M14.7,1.3 C13,-0.4 10.2,-0.4 8.5,1.3 L6.3,3.5 C6.2,3.6 6.2,3.6 6.1,3.7 C6.7,3.7 7.4,3.7 8,3.9 L9.5,2.4 C10.6,1.3 12.5,1.3 13.6,2.4 C14.7,3.5 14.7,5.4 13.6,6.5 L12.1,8 L11.4,8.7 C10.4,9.7 8.9,9.8 7.8,9.1 C7.4,8.9 7.1,8.5 6.8,8.1 C6.7,8.1 6.5,8 6.4,8 C6,8 5.6,8.2 5.4,8.4 C5.6,8.8 5.9,9.3 6.3,9.6 C6.6,10 7.1,10.2 7.5,10.5 C9,11.2 10.9,11 12.3,9.8 C12.4,9.7 12.4,9.7 12.5,9.6 L14.7,7.4 C16.4,5.7 16.4,3 14.7,1.3 Z\" id=\"Shape\"></path>\n                        </g>\n                    </g>\n                </g>\n            </svg></a>Drive User Engagement Through Intelligent Segmentation</h3>\n<p>Let’s say you want to target users who installed your app to increase their engagement. There are two approaches to accomplishing this using Audiences: </p>\n<ul>\n<li><strong>Rules-based:</strong> Taking this strategy, you would use audience criteria to build a customer segment that aligns with your target characteristics, like users who installed your app in the last 72 hours with fewer than three sessions. </li>\n<li><strong>AI-powered:</strong> Using a predictive approach, you could simply define your business goal, then let Predictive Attributes to perform a comprehensive analysis of user data to predict which new users are most likely to take the engagement action you have defined. Once the Predictive Attribute has been generated, you could use it as an audience criteria to select users who are statistically most likely to engage with your app.</li>\n</ul>\n<p>No matter which approach you take, you can easily forward your audience to push notification and email partners.  Once these audience connections are established, mParticle instantiates a corresponding audiences both partners.  No coding is necessary.</p>\n<h3 id=\"drive-app-downloads\" style=\"position:relative;\"><a href=\"#drive-app-downloads\" aria-label=\"drive app downloads permalink\" class=\"anchor before\"><svg width=\"16px\" height=\"17px\" viewBox=\"0 0 16 17\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n                <g id=\"Symbols\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\">\n                    <g id=\"Icon/Link\" fill=\"#98A0A3\" fill-rule=\"nonzero\">\n                        <g id=\"link\">\n                            <path d=\"M9.5,12.4 C9.6,12.4 9.7,12.4 9.9,12.4 C9.8,12.5 9.8,12.5 9.7,12.6 L7.5,14.8 C5.8,16.5 3,16.5 1.3,14.8 C-0.4,13.1 -0.4,10.3 1.3,8.6 L3.5,6.4 C3.6,6.3 3.6,6.3 3.7,6.2 C5,5 6.9,4.8 8.4,5.5 C8.8,5.7 9.3,6 9.6,6.4 C10,6.7 10.2,7.2 10.5,7.6 C10.2,7.9 9.9,8 9.5,8 C9.4,8 9.2,8 9.1,7.9 C8.9,7.5 8.5,7.2 8.1,6.9 C7,6.2 5.5,6.4 4.5,7.3 L3.8,8 L2.3,9.5 C1.2,10.6 1.2,12.5 2.3,13.6 C3.4,14.7 5.3,14.7 6.4,13.6 L7.9,12.1 C8.4,12.3 8.9,12.4 9.5,12.4 Z M14.7,1.3 C13,-0.4 10.2,-0.4 8.5,1.3 L6.3,3.5 C6.2,3.6 6.2,3.6 6.1,3.7 C6.7,3.7 7.4,3.7 8,3.9 L9.5,2.4 C10.6,1.3 12.5,1.3 13.6,2.4 C14.7,3.5 14.7,5.4 13.6,6.5 L12.1,8 L11.4,8.7 C10.4,9.7 8.9,9.8 7.8,9.1 C7.4,8.9 7.1,8.5 6.8,8.1 C6.7,8.1 6.5,8 6.4,8 C6,8 5.6,8.2 5.4,8.4 C5.6,8.8 5.9,9.3 6.3,9.6 C6.6,10 7.1,10.2 7.5,10.5 C9,11.2 10.9,11 12.3,9.8 C12.4,9.7 12.4,9.7 12.5,9.6 L14.7,7.4 C16.4,5.7 16.4,3 14.7,1.3 Z\" id=\"Shape\"></path>\n                        </g>\n                    </g>\n                </g>\n            </svg></a>Drive app downloads</h3>\n<p>Let’s say you want to find more users like your currently highly engaged users and run an app download campaign in Facebook against that target audience. You start by defining your highly engaged users, using whatever criteria is important to you: lifetime value metrics, session activity, event activity, or any other data points you capture.  </p>\n<p>Once your audience is defined, configure the Facebook integration and corresponding custom audiences in your Facebook account.  From there you can leverage the custom audiences like any other custom audience in Facebook.  </p>\n<p>Because we want to target users that look like our highly engaged users, we will create a Facebook lookalike audience from our highly engaged user audience and run a Facebook app install campaign that targets that lookalike audience.</p>","frontmatter":{"title":"Audiences Overview","order":1,"seoTitle":null,"seoDescription":null},"parent":{"__typename":"File","modifiedTime":"October 12, 2026"}}},"pageContext":{"slug":"/guides/audiences/overview/"}},"staticQueryHashes":["2950460867"]}