Overview

Product Analytics helps you gain insight into user behavior and make data-driven decisions. It can help solve the following types of use cases in your application:

• Understand product adoption
• Track conversion rates and their evolution over time
• Track key user behavior patterns
• Visualize the most and least interacted with buttons on a given page

Getting started

To start using Product Analytics, enable it for each application where you want to monitor user behavior:

1. Select the application you want to monitor from the Application Management list.
2. Under PRODUCT SETTINGS, click Product Analytics.
3. Click the Enable button.

By default, Product Analytics data is retained for 15 months. Learn more about Privacy at Datadog.

Navigating the Product Analytics UI

Each Product Analytics feature provides context into your users’ journeys. This section describes the context each feature can provide for your individual use case.

Understand product adoption

The Home page gives you a bird’s-eye view of your users’ activity and a pulse into your product’s adoption. This is where you most often land when accessing Product Analytics.

By default, this page displays the active users, page views and average time spent by user charts, but you have the ability to add additional charts or a dashboard. You can navigate to anywhere in Product Analytics from the home page.

Track conversion rates and their evolution over time

The Product Analytics charts help you visualize your users’ journey as they use your product.

Each chart type provides a different view into the user’s journey:

Pathways

you can visualize all user journeys across your application to analyze the critical path.

Funnel

track conversion rates across key workflows to identify and address any bottlenecks in end-to-end user journeys.
For example, you can see if customers drop off at a certain point due to poor website performance or measure how adding new steps to a workflow impacts drop off rate.

Retention

measure how often users are successfully returning to a page or action to gain insights into overall user satisfaction.

Analytics

contains views data aggregation for understanding how your product is being used.

Track key user behavior patterns

You may want to better understand a specific group of users. This could be for the purpose of improving their user experience, or nudge them to buy the content in their cart. Regardless of the purpose, you can use the Users & Segment section to group your users based on a desired characteristic.

You can see the individual profiles of user, and create a segment, or a specified grouping, from these profiles to fit the behavior you would like to observe. For example, you can create a segment on users who have items in their carts but have not yet checked out to send an email nudging them to make a puchase.

Visualize the most and least interacted with buttons on a given page

Suppose you want to make changes to your application interface but want to first understand how users navigate in the page. Is there a specific path they take more than others? Can you make user actions and flows smoother? The following features can help you capture and replay your users’ browsing experience to inform your product change decisions.

Session replay

Expands your user experience monitoring by allowing you to capture and visually replay the web browsing or mobile app experience of your users.

This is beneficial for error identification, reproduction, and resolution, and provides insights into your application’s usage patterns and design pitfalls

Heatmaps

This is a visualization of your user’s interactions overlaid on Session Replay data. Product Analytics has three different types of heatmaps: Click maps, Top elements, Scroll maps.

Use heatmaps to review complex data at a glance, gaining insights around optimizing your user experience.

Playlist

You can create a playlist of Session Replays to organize them by any patterns you notice. Learn more about Session Replay Playlists.

Further reading

추가 유용한 문서, 링크 및 기사:

Make data-driven design decisions with Product AnalyticsBLOG Analytics ExplorerDOCUMENTATION