🧲 Retention Overhaul

Statsig Product Updates
< All updates
8/26/2024

Akin Olugbade

Product Manager, Statsig

Retention++

We’ve introduced key enhancements to Retention charts, designed to give you more actionable insights into user behavior and long-term engagement.

Flexible Retention Definitions

Accurately tracking user retention is crucial for understanding how your product is performing over time. With our new “Return On” and “Return On or After” retention definitions, you can now better align your analysis with specific business goals. For instance, use “Return On” to measure how many users come back on a precise day, or “Return On or After” to understand longer-term retention trends.

Daily, Weekly, Monthly Retention

User engagement varies depending on the nature of your product and user behavior. That’s why we now offer the ability to analyze retention on a daily, weekly, or monthly basis. Whether you need to track daily active users for a fast-paced app or monitor longer-term engagement for a subscription service, these options let you choose the most relevant time frame for your analysis.

Retention Over Time

Retention isn’t static; it evolves as your product and user base grow. With our new Retention Over Time feature, you can visualize how retention rates shift over weeks or months, helping you spot trends, seasonality, or the impact of product changes. This enables you to make data-driven decisions, whether you’re aiming to boost user retention, identify periods of churn, or validate the success of a new feature.

retention august 24

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OpenAI OpenAI
Brex Brex
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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.
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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.
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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
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