Release date: August 24, 2022
Updates to existing features in Adobe Experience Platform:
AI/ML services empower marketing analysts and practitioners to leverage the power of artificial intelligence and machine learning in customer experience use cases. This allows for marketing analysts to set up models specific to a company’s needs using business-level configurations without the need for data science expertise.
Attribution AI is used to attribute credits to touchpoints leading to conversion events. This can be used by marketers to help quantify the marketing impact of each individual marketing touchpoint across customer journeys.
Updated features
Feature | Description |
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Support for Privacy |
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Note: Attribution AI will not be available with existing Healthcare Shield customers until further notice.
For more information on Attribution AI, please see the Attribution AI overview.
Customer AI available in Real-Time Customer Data Platform, is used to generate custom propensity scores such as churn and conversion for individual profiles at scale.
Updated features
Feature | Description |
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Support for Privacy |
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Note: Customer AI will not be available with existing Healthcare Shield customers until further notice.
For more information on Customer AI, please see the Customer AI overview.
Adobe Experience Platform provides multiple dashboards through which you can view important insights about your organization’s data, as captured during daily snapshots.
Updated features
Feature | Description |
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Scheduled activations widget | The Scheduled activations widget provides a tabularized view of the most recently activated destinations. For each segment, it includes the name, destination platform, and activation start and end date. This widget allows you to discover at a glance where and when the audience is being activated and makes duplicate or unnecessary activations more transparent. This accumulated information also highlights where any activations have been left out. |
For more information on Dashboards, please see the Dashboards overview.
Data Prep allows data engineers to map, transform, and validate data to and from Experience Data Model (XDM).
Updated features
Feature | Description |
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Support for ingesting records with warnings | Data Prep will now localize warnings (non-critical errors) to the fields and will allow the rest of the row to be ingested. All mapper transformation errors are now reported as warnings and rows that are partially ingested are considered successful, with a warning. Monitoring is also supported on records with warnings and diagnostic details. Partial ingestion of records with warnings is currently only available to streaming data. Review the documentation on ingesting records with warnings for more information. |
To learn more about Data Prep, see the Data Prep overview.
Destinations are pre-built integrations with destination platforms that allow for the seamless activation of data from Adobe Experience Platform. You can use destinations to activate your known and unknown data for cross-channel marketing campaigns, email campaigns, targeted advertising, and many other use cases.
New or updated features
Feature | Description |
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(Beta) Attribute-based personalization support for personalization destinations | With the beta release of attribute-based personalization, you will see two new cards in the destination catalog:
Profile attributes may contain sensitive data. To protect this data, the Custom Personalization With Attributes destination requires you to use the Edge Network Server API for data collection. Furthermore, all the Server API calls must be made in an authenticated context. |
New destinations
Destination | Description |
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Outreach | Outreach is a Sales Execution Platform with the most B2B buyer-seller interaction data in the world and significant investments in proprietary AI technologies to translate sales data into intelligence. Outreach helps organizations automate sales engagement and act on revenue intelligence to improve their efficiency, predictability, and growth. |
For more general information on destinations, refer to the destinations overview.
XDM is an open-source specification that provides common structures and definitions (schemas) for data that is brought into Adobe Experience Platform. By adhering to XDM standards, all customer experience data can be incorporated into a common representation to deliver insights in a faster, more integrated way. You can gain valuable insights from customer actions, define customer audiences through segments, and use customer attributes for personalization purposes.
New XDM components
Component type | Name | Description |
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Class | AJO Entity Class | A record-based class for creating lookup schemas for Adobe Journey Optimizer. |
Field group | Workfront Work Objects | A wrapper field group that references all the lower level object-specific field groups for Adobe Workfront. |
Updated XDM components
Component type | Name | Description |
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Field group | Journey Orchestration Step Event Common Fields | Two new properties have been added: origTimeStamp and experienceID . |
Field group | Segment Membership Details | In addition to XDM Individual Profile, this field group can now also be used in schemas based on the XDM Business Account class. |
Field group | (Multiple) | Several field groups related to Marketo B2B activities have been updated to stable status. See the following pull request for details. |
Field group | (Multiple) | Several weather-related field groups have been updated to fix errors that were occurring for uvIndex and sunsetTime . See the following pull request for details. |
Data type | Product list item | A new property productImageUrl has been added. |
Data type | Qoe Data details information | A new property framesPerSecond has been added. |
Data type | Session details information | sdkVersion has been renamed to appVersion . meta:enum and description fields have also been updated. |
Data types and field groups | (Multiple) | Several media data types and field groups have new fields and updated descriptions. See the following pull request for details. |
(All) | (Multiple) | All schema objects that contain an enum field now also contain a corresponding meta:enum field to denote display values for each constraint. See the following pull request for details. |
For more information on XDM in Platform, see the XDM System overview.
Adobe Experience Platform enables you to drive coordinated, consistent, and relevant experiences for your customers no matter where or when they interact with your brand. With Real-Time Customer Profile, you can see a holistic view of each individual customer that combines data from multiple channels, including online, offline, CRM, and third party data. Profile allows you to consolidate customer data into a unified view offering an actionable, timestamped account of every customer interaction.
Feature | Description |
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Merge policies hard limit | Platform will now enforce a hard limit of five merge policies per sandbox. If your sandbox currently has more than five merge policies, you will not be able to create new merge policies until the sandbox has less than five merge policies. |
Orphaned profile edge attribute cleanup | For all organizations, Profile Service now removes leftover edge attributes of user activity region on a daily basis to give a more accurate representation of your profiles in your system. This cleanup occurs after all the profile fragments for a given profile are deleted and should impact profiles being merged from datasets where com_adobe_aep_profile_region_dataset is marked as true . This may show a drop in the “Addressable audience” metric in the license usage dashboard and may show a drop in the “Profile count” metric in the Profile dashboard, since these metrics included leftover edge attribute fragments prior to this release. |
To learn more about Real-Time Customer Profile, including tutorials and best practices for working with profile data, please begin by reading the Real-Time Customer Profile overview.
Segmentation Service defines a particular subset of profiles by describing the criteria that distinguishes a marketable group of people within your customer base. Segments can be based on record data (such as demographic information) or time series events representing customer interactions with your brand.
New features
Feature | Description |
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Support for 4000 segments | All organizations with Platform can now support up to 4000 segment definitions. For more information on how this change affects the segment job APIs, please read the segment job endpoint guide |
For more information on Segmentation Service, please see the Segmentation overview.
Adobe Experience Platform can ingest data from external sources while allowing you to structure, label, and enhance that data using Platform services. You can ingest data from a variety of sources such as Adobe applications, cloud-based storage, third-party software, and your CRM system.
Experience Platform provides a RESTful API and an interactive UI that lets you set up source connections for various data providers with ease. These source connections allow you to authenticate and connect to external storage systems and CRM services, set times for ingestion runs, and manage data ingestion throughput.
New features
Feature | Description |
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General availability of Self-Serve Sources (Batch SDK) | Develop, test, and integrate your REST API-based data source to ingest batch data into Experience Platform using easy to configure source specifications. With Sources SDK, you can:
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General availability of Google BigQuery source | Use the Google BigQuery source to ingest data from your Google BigQuery data warehouse to Experience Platform. For more information, read the documentation on the Google BigQuery source. |
Teradata Vantage source (Beta) | Use the Teradata Vantage source to ingest data from hybrid multi-cloud environments to Experience Platform. For more information, read the documentation on the Teradata Vantage source. |
Cross-region support for Adobe Analytics source | You can now ingest report suites from any region (United States, United Kingdom, or Singapore). Report suites must be mapped to the same organization as the Experience Platform Sandbox instance in which the source connection is being created in. For more information, read the guide on creating an Adobe Analytics source connection in the UI. |
To learn more about sources, see the sources overview.