Platform

Developers

Resources

Pricing

Event-Based Cohorts in Metrics Explorer

Statsig Product Updates
Arrow Left
Arrow Right
1/23/2024
#

Advanced Product Analytics with Event-Based Cohorts in Metrics Explorer

You can now perform detailed analysis on almost arbitrarily specific user segments with our new Event-Based Cohorts feature in Metrics Explorer. Event based cohorts allow you to group users who performed certain events and share specific properties. You can specify the minimum, maximum, or exact number of times users in the cohort performed the given event, and specify the date range within which they performed it. You can also add multiple property filters to the cohort. This is useful in many scenarios:

  • Create multiple cohorts of interesting user segments and compare their product usage. You can add multiple cohorts to your group-by, and use it was a way to compare different segments of users. For example, you can use the Distributions chart to find the usage that represents the 90th percentile for some event/feature of interest, and then create a “power user” cohort in a Drilldown chart by setting the event frequency to that 90th percentile. You can then create an “all users” cohort and compare the two.

  • Filtering by a Cohort. Define an event based cohort and use it as a way to filter your analysis. For example dig into low engagement users by filtering you cohort who used a feature at most 1 time in the last month.

Get started with this new feature by going to Metrics Explorer (click on the Metrics tab in the left navigation menu), mousing over to the Group-By section and clicking “+” button and selecting “Compare Cohorts” to begin defining your cohort.

Event Based Cohorts

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
CPO
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