Which of these use cases are important to your business? Discover which Digital Experience Blueprints address your business goals.
Use Case | Blueprint | Category |
---|---|---|
Perform anonymous digital audience targeting and personalization. | Anonymous Audience Activation | Audience & Profile Activation |
Build audiences for targeting on supported advertising networks. | ||
Audience targeting for known audiences on social and advertising destinations. | Known Customer Activation | |
Online personalization with online and offline attributes. | ||
Activate audiences to known channels, such as email and SMS. | ||
Profile and audience activation to cloud storage destinations, or streaming destinations for enterprise tracking, storage, analysis, and activation of customer data and insights. | Activation to Enterprise Destinations | |
Personalize and target across customer interaction channels powered by Experience Cloud. | Activation with Experience Cloud Applications | |
Share audience and profile data between Experience Platform and Experience Cloud applications. | ||
Provide deeper consumer context to agent-supported interactions, such as support and sales experiences. Using the profile lookup into Experience Platform, agents can receive more context on the consumer, such as recent purchases, campaign interactions, propensities, audience memberships, and other attributes and insights that are stored in the real-time customer profile. | Customer Activity Hub | |
Analyze customer interactions across desktop and mobile to understand customer behavior and extract insights to optimize digital customer experiences. | Cross Channel | Customer Journey Analytics |
Analyze customer interactions across channels, including digital and offline channels such as support interactions and in-store purchases to better understand and optimize the customer journey. | ||
Analyze customer behavior before customers contact support. | Call Deflection | |
Discover opportunities to improve self-service capabilities. | ||
Scheduled email campaigns. | Campaign Managed Cloud Services | Customer Journeys |
Onboarding and re-marketing campaigns. | ||
Triggered messages. | Journey Optimizer | |
Registration confirmations. | ||
Shopping cart and application form abandons. | ||
Location triggered messages. | ||
Data Prep & Ingestion | Data Collection & Preparation | |
Collect data from web or mobile using a single collection tag, lightening code weight on client browsers and apps. Propagate the collected data to various endpoints for a single source of data collection. | AEP Collection Enterprise (Event Forwarding) | |
Forward collected data to partner applications or data storage locations for building insights and applications against the collected data. | ||
Web SDK Data Collection | ||
Interactive query and aggregation of data. | Data Analysis & Intelligence | Data Analytics, Intelligence, & ML |
Row and column access to ingested data for exploration and validation. | ||
Dashboarding and visualization of data via Business Intelligence tooling. | ||
Extract insight and discover patterns from customer data in Experience Platform. Train and score models from this data. | Customer Data Science for Profile Enrichment | |
Enrich the Real-time Customer Profile with model driven insights and attributes for more granular personalization and optimized journeys. | ||
Train and Score models to determine customer insights such as customer lifetime value, propensity to convert or churn, product and content affinities, and engagement scores. | ||
Landing page optimization. | Behavioral Personalization | Web & Mobile Personalization |
Behavioral targeting. | ||
Personalization based on prior product/content views, product/content affinity, environmental attributes, third-party audience data, and demographics. | ||
Landing page optimization. | Online/Offline Personalization | |
Behavioral and offline profile targeting. | ||
Personalization based on prior product/content views, product/content affinity, environmental attributes, third-party audience data, and demographics in addition to offline insights such as transactions, loyalty and CRM data, and modeled insights. |