Platform

Developers

Resources

Pricing

Daily Active Users (DAU)

DAU stands for Daily Active Users. It is a metric used in analytics to measure the success of an online platform or a mobile app. DAU is a binary designation that's assigned to every user. A user can be either a DAU for a given day, or not (i.e., inactive).

In Statsig, a user is considered a DAU if they've triggered any event, gate check, or experiment check on a given day. This definition of DAU can be customized to exclude or include specific exposure and custom events from your application.

For example, given User IDs, DAU counts the number of distinct users that triggered the event. Given Stable IDs, DAU counts the number of distinct devices running your application.

User Accounting metrics, including DAU, are listed in the Metrics section under the Charts tab in the Statsig console.

It's important to note that Statsig's default day starts at GMT-8 (Pacific Standard Time), and does not follow daylight savings time. Auto-generated User Accounting Metrics, including DAU, are not supported today for data warehouse ingestions.

In the Metrics Catalog tab, you can quickly search and tag your metrics. Tags enable you to organize your metrics and create collections of metrics that are associated in some way. For example, you could tag a set of metrics focused on a product area, business function, business objective, and so on. Once you create a tagged collection of metrics, you can easily pull up this set of metrics when viewing your experiment results.

Join the #1 Community for Product Experimentation

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy