Introduction to Digital Experience Analytics
Analyze and refine your customer journeys with conversion funnels.
About Digital Experience Analytics
Alpha features described in this document are provided by Splunk to you "as is" without any warranties, maintenance and support, or service-level commitments. Splunk makes this alpha feature available in its sole discretion and may discontinue it at any time. These documents are not yet publicly available and we ask that you keep such information confidential. Use of alpha features is subject to the Splunk Pre-Release Agreement for Hosted Services.
Splunk Digital Experience Analytics (DEA) is a powerful new solution within Splunk Observability Cloud, designed to empower digital product teams with crucial insights into customer behavior. With these insights, teams can identify friction points, refine user journeys, increase conversion rates, and enhance user engagement, among other advantages of utilizing DEA.
DEA complements existing Splunk Real User Monitoring (RUM) and Splunk Synthetic Monitoring solutions, delivering a holistic view of digital experience management.
About the Alpha Program
The Alpha Program provides early access to Splunk DEA before its general release. This program enables you to analyze and optimize customer journeys by tracking real-time user interactions with your applications. With these insights, you can generate actionable steps to increase conversion rates, address friction points, and achieve business goals.
What the Alpha Program includes:
Conversion Funnels : Analyze user journeys and identify opportunities for optimization
Enhanced Session Replay: Deep-dive into user interactions with full context
Upcoming Features: Early access to Event Analytics and User Segmentation features
Use cases for Digital Experience Analytics
Improve conversion rates: Analyze critical user journeys through detailed funnel analysis.
Gain deep session insights: Use session replay to understand individual user interactions.
Effective user segmentation: Segment users based on behavior patterns and attributes.
User journey mapping: Map and visualize the most common customer paths through your product.
Identify pain points: Quickly detect user frustrations using behavioral indicators and frustration signals.
Heatmap analysis: Visualize user interactions and behavior patterns on specific pages or screens.
Retention analysis: Analyze customer retention trends to optimize engagement and reduce churn