Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs

How to optimize landing page loading without waiting for experiment configurations

When optimizing landing page loading without waiting for experiment configurations, it is recommended to use a custom script approach if you need to pass in specific user identifiers, such as Segment's anonymous ID.

This is because the standard landing page script provided by Statsig does not allow for the initialization with a different user ID. Instead, it automatically generates a stableID for the user, which is used for traffic splitting and consistent user experience upon revisits. This stableID is stored in a cookie and is used by Statsig to identify users in experiments.

However, if you need to synchronize with metrics from Segment using the Segment anonymous ID, you may need to deconstruct the landing page tool and implement a custom version that allows you to set the userObject with your Segment anonymous ID.

Additionally, you can enrich the Segment User with an additional identifier, such as statsigStableID, which can be obtained in JavaScript using statsig.getStableID(). This ID can then be mapped from the Segment event payload to Statsig's stableID. If performance is a concern, you can bootstrap your SDK with values so you don't have to wait for the network request to complete before rendering.

This can help mitigate performance issues related to waiting for experiment configurations. For more information on bootstrapping the SDK, you can refer to the official documentation on bootstrapping.

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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.
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.
Karandeep Anand
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.
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.
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.
Partha Sarathi
Director of Engineering
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