Adobe Product Analytics Use Case
Continuously evaluate and improve your product experience.
Monitor how your product features are used, diagnose problems and friction points, and optimize the user experience with data.
Optimize your product experience based on user insights.
Adobe Product Analytics lets you easily discover and act on user and product insights to improve customer acquisition, user engagement and retention. It also gives your teams guided analysis and defined workflows so they can self-serve data and insights without reliance on other teams.
Identify your most useful features.
The usage analysis in Adobe Product Analytics lets you use pre-defined workflows to instantly see how users are interacting with your product across their journey. Get deeper details by breaking up each event by segment to see what types of audiences are performing the best and which aren’t. And use time comparison to see how current product engagement compares to historic engagement. Overall, this data reveals exactly where in your product experience needs optimization and what features are most important to your users.
Reduce friction and optimize journeys.
The friction analysis in Adobe Product Analytics isolates obstacles in user journeys and compares conversion rates across steps to show you the full context of the journeys within your product. Add key events to easily identify funnel bottlenecks and compare paths by audience segments. With these analyses, you can see conversion and drop-off rates across every step in a customer journey and get insights into areas that can be optimized. Segments can be activated in other Adobe Experience Cloud products at any stage.
Understand user interactions.
Top-level metrics aren’t enough to understand the paths users take through product experiences until they convert. The user stream-timeline analysis in Adobe Product Analyticss lets you quickly understand a user’s event timeline so you can identify influential touchpoints in an individual user’s experience. This lets you find patterns, tell better user stories, and validate newly implemented features and experiences. It also surfaces optimization opportunities across digital and offline touchpoints.
