Update email notification preferences in Statsig

Statsig users can now turn on/off their email notifications in the Statsig console settings. Simply go to My Account page in the Project settings and update your preferences under the Notifications tab.

This is a especially useful for teams who are Statsig very frequently and might want to turn off specific categories of emails to manage their inbox.

We hope that this helps you reduce clutter in your inbox while still allowing you to stay on important aspects of your projects in Statsig. As always, we welcome your feedback and suggestions for further improvements.

ID Resolution++

A common problem in experimentation is trying to connect different user identifiers before or after some event boundary - most frequently signups. This often involves running an experiment where the unit of analysis is a logged out identifier, but the evaluation criteria for the experiment is a logged-in metric (e.g. subscription rate, or estimated lifetime value).

Statsig has upgraded our ID resolution solution to handle multiple IDs attached to one user. ID resolution. In addition to the strict 1-1 mapping that we already support, we now offer first-touch mapping to handle 1-many, many-1 and many-many mappings between different ID types. This is extremely flexible and enables use cases like:

• handling logins across multiple devices

• mapping users to metrics from different profiles or owned entities

For more information about this feature, check out the documentation. This option is available to all Statsig Warehouse Native experimenters!

🎛️ Global Dashboard Filters

We’ve introduced Global Dashboard Filters, a new feature that allows you to apply property filters across all charts on your dashboard at once. This makes it easier to scope your analysis to specific properties and other criteria, with the results reflected across every chart.

With Global Dashboard Filters, you can efficiently narrow down your analysis to explore insights from different angles, ensuring that each chart on your dashboard provides a consistent and relevant view of the data. This feature simplifies your workflow and helps you focus on the most important aspects of your analysis.

Knowledge Base

The KB acts as a searchable repository of experiment learning across teams. It helps you find shipped, healthy experiments and gain context on past effort and generate ideas on new things to try.

Make it easy for new team mates to explore and find experiments a team ran, or where a topic was mentioned. Our meta-analysis tools offer more structured means to discover and look across your experiment corpus, but when you do want free text search, this exists.

Meta-analysis/Metric Batting Average

(also updates to Experiment Timeline view)

The "batting average" view lets you look at how easy or hard a metric is to move. You can filter to a set of shipped experiments and see how many experiments moved a metric by 1% vs 10%. Like with other meta-analysis views, you can filter down to a team, a tag or even if results were statistically significant.

Common ways to use this include

• Sniff testing whether the claim that the next experiment will move this metric by 15% is a good idea.

• Establishing reasonable goals, based on past ability to move this metric

Experiment Timeline View

This view now features summary stats (e.g. How many experiments shipped control) so you don't have to sit and manually tally stats here.

See more

📧 Dashboard PDF Export

We’ve added a new feature that lets you download your entire dashboard as a PDF, making it easier to share your insights with others. Whether you’re preparing for a meeting, sharing results with your team, or simply saving a snapshot of your data, this feature provides a convenient way to package and distribute your dashboard.

With just a few clicks, you can export your dashboard, preserving all charts, metrics, and visualizations in a format that’s easy to share and view across different devices. This feature ensures that everyone stays aligned and informed, even when working offline or outside of the platform.

To download your dashboards, click the "..." button in the top right corner ever you dashboard and select "Export as PDF".

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.

User Journeys Overhaul

We’ve completely revamped the User Journeys experience, delivering a modern and intuitive interface that makes it easier than ever to explore and understand user behavior.

Modernized UX

The User Journeys interface has undergone a significant glow up. We’ve introduced a cleaner, more contemporary look and feel, making it easier to navigate and interact with the data. The new design not only improves usability but also enhances your overall analysis experience, allowing you to focus more on insights and less on the interface itself.

Where'd they go AND how'd they get there?

Understanding how users interact with your product is critical. Now, with support for journeys ending with an event, you can choose to analyze the paths users take from a specific starting point or the routes they follow to reach a particular destination. This flexibility allows you to pinpoint critical moments in the user experience, whether you’re interested in the lead-up to a key conversion event or the aftermath of an initial user action.

Sticky Hidden Events

To streamline your analysis, we’ve introduced sticky hidden events. When you hide an event to reduce noise in your journey visualizations, this preference is now preserved across your explorations. No more repeatedly decluttering your data—focus on the paths that matter without unnecessary distractions.

Statsig <3 Funnels

We really really like funnels. We think they’re great. Then we thought, what if we made them even better? So we did! Our funnels now offer richer insights, more configuration options, and are easier to understand at a glance.

Table Overhaul

We’ve overhauled the table in the main Conversion view for funnels. It now presents a detailed tabular view of the key metrics at each step of your funnel. This table is also configurable, allowing you to choose between a high-level summary or more detailed insights. You can now see exactly what’s happening at each step, with metrics like conversion rates, drop-offs, total conversions, and more, all in one place.

Conversion Rate vs. Overall Conversions

You now have flexibility in how you view your funnels. By default, the y-axis displays the conversion rate for each step. We’ve added a toggle to switch the y-axis to show the total number of conversions. The conversion rate view is ideal for comparing how different groups perform in terms of conversion rates, while the total conversions view helps you understand the overall number of users progressing through your funnel.

Information Richness

Funnels now include even more insights at a glance. Under each step, you’ll find summaries of the conversion rate, drop-off rate, total number of conversions, number of drop-offs, and median time to convert.

Rename Funnel Steps

You can now rename steps in your funnel, making them more legible or descriptive when the event names aren’t clear.

📅 Expanded Chart Granularities and MAU support

We’ve expanded Metric Drilldown to provide you with more detailed options for analyzing user engagement. Now, you can easily explore how user behavior changes over daily, weekly, and monthly time frames, helping you uncover deeper insights.

Expanded Chart Granularities

To give you a more comprehensive view of your metrics, we’ve added support for Monthly Active Users (MAU) alongside the existing Daily Active Users (DAU) and Weekly Active Users (WAU). This expansion allows you to track user engagement over various time frames, making it easier to identify long-term trends or seasonal patterns.

Improved UX for Granularity Selection

We’ve also refined the UX for selecting DAU, WAU, and MAU, making it more intuitive and efficient to switch between these views. Whether you’re analyzing short-term spikes or long-term user behavior, the updated interface simplifies the process of drilling down into the details that matter most.

Weekly and Monthly Granularities in Drilldown Charts

To offer even more flexibility, we’ve introduced support for weekly and monthly granularities in metric drilldown charts. This allows you to view and compare metrics over extended periods, helping you to detect broader trends and patterns that might not be visible with daily data alone.