Statsig

Filter sessions to users with specific attributes

Define and analyze custom user segments based on product behaviors and user properties

Filter sessions based on user behavior or events

Automatically identify factors impacting funnel conversion

Define new metrics by combining multiple events and defining how an event is aggregated

Run ad-hoc queries on experiment results to analyze new metrics or filter by specific cohorts

Save multiple charts, experiment and feature gate summaries in one place for the team

Analyze users by how frequently they perform an event to understand the distribution

Watch users who are in specific treatment groups of an experiment or feature gate

Integrate analytics with experimentation and perform segmentation analysis on different experiment groups

Integrate analytics with feature gates and perform segmentation analysis on groups with different feature gate assignments

Transform and combine metrics with formulas

Visualize the conversion journey of users through a sequence of steps

Measure metrics or perform analysis at a company, account, or group level for B2B products

Monitor and debug service health alongside product outcomes with metrics, traces, and logs

Breakdown the impact of all experiments and features on a specific metric

Search and explore logs from your infrastructure

Plot events and metrics over time with targeted analysis capabilities

Explore and analyze metrics across your product

Watch recordings of mobile app sessions

Turn action into insights and insights into action with trusted product metrics and full analytics tools

Track user engagement over time to understand how many users return to your product or feature

Analyze session behavior and duration directly in Metric Explorer

Watch recordings of user web and mobile sessions linked to every feature flag, experiment, and metric

Plot averages, sums, medians, and percentiles of properties

Visualize the many paths users take through your product

Store user attributes once and join them with any event during analysis

Analyze web user behavior and engagement

Watch recordings of user web sessions linked to experiments and feature gates

Run randomized, controlled experiments to measure the exact impact on users

Identify classes of users that are differentially impacted by experiments

Automatically optimize features and parameters

Support for both Bayesian and Frequentist statistical analysis methods

Control the false discovery rate in multiple hypothesis tests

Adjust for multiple comparisons in statistical analysis

Method to reduce experiment runtime and increase accuracy with historical data

Save experiment templates and export formatted reports

Scale experimentation culture with sophisticated tests, advanced statistical treatments, and warehouse-native execution

Withhold features to measure cumulative impact of changes

Detect effects of overlapping experiments

Run experiments for marketing campaigns

Let Statsig pick the winning treatment using multi-arm bandit algorithm

Run experiments with multiple variations to test complex scenarios

Create experiments with a visual web editor without coding

Tests to show a treatment is not worse than a control

Analyze and optimize experiment power and sample size

Calculate optimal sample size for experiments

Prevent early-peeking on A/B test results with sequential testing

Balance heterogenous subjects across experiment groups

Run tests when traditional randomization isn't feasible

Reduce the influence of outliers in statistical analysis

Target features based on a user's specific attributes with automatically generated attributes

Set pre-defined stages and timelines for rollouts

Revert changes with team-level permission enforcement

Enforce review and approval workflows for changes

Target features based on any custom attributes

Store JSON values in a flexible, hosted config for remote configuration management

Target features to a specific environment

Decouple code deployment from feature release, expose features to select user groups, and roll them out or back with control

See all feature flags in one place with tagging by app and environment, automated health checks, and exposure data

Turn every release into an A/B test by analyzing flag impact

Manage mutually exclusive experiments and rollouts in layers

Set monitoring metrics to measure the impact of a release and prevent regressions

Store text parameters for mobile applications or web applications for ease of use, localization, and more

Roll out features to any percentage of your users

Target features to pre-defined user segments shared across experimentation and analytics

Get automated alerts on stale gates and nudges on how to clean them up

Create and manage user segments for targeting and analysis

Control API access and permissions

SSO, SAML, OAUTH authentication

Enable authentication flows based on your email domain

Manage access to features and experiments based on roles

Sync users, roles and projects with Okta

Enforce team-level permissions for reviews and approval flows