About Predictive Engagement
Genesys Predictive Engagement is a cloud-based, AI-powered customer engagement solution that analyzes visitors' behaviors on websites, predicts the outcomes visitors are trying to achieve, and personalizes engagements to help visitors achieve those outcomes.
Understand and configure Predictive Engagement
Learn about Predictive Engagement and review the pricing and GDPR compliance information.
Track journey events
Learn how to start tracking visitors on your website with Genesys Predictive Engagement. Then, learn about the tools for identifying and organizing types of visitors and their trackable behaviors.
Create actions and action maps
Learn about the types of actions available in Genesys Predictive Engagement. Learn how to create action maps that use actions to engage visitors and further your business goals.
Work with interactions with Predictive Engagement
Agents answer, respond to, and complete interactions with Predictive Engagement customer journey information.
Analyze Predictive Engagement data
Contact center managers and supervisors can view live visitor tracking information, and visitor activity and action map performance reports. Add Predictive Engagement customer journey columns and filters to existing Genesys Cloud performance views. View historical journey data for interactions.
Create third-party integrations with Predictive Engagement
Use Architect workflows and Architect flow actions with Predictive Engagement to build in-house and third-party integrations. Use Predictive Engagement to track campaign-related web activity and create leads with their associated campaign attributes in Salesforce.
Solutions, best practices, and business scenarios
If your organization is using web messaging, this section does not apply. Learn about solutions and best practices that enable Genesys Cloud customers to make the most of Predictive Engagement and Genesys Cloud features.
Learn about the pre-configured settings that Genesys Predictive Engagement contains. The settings cannot be edited.