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 view statistics for multiple landing pages separately in Statsig when analyzing a test?

To view statistics for multiple landing pages separately in Statsig when analyzing a test, you need to set up separate experiments for each landing page. This involves adding a unique script to each landing page you're testing. The script should look like this:

<script src="[API_KEY]&expid=[EXP_NAME]"></script>

Replace [API_KEY] with your Client API Key and [EXP_NAME] with the unique Experiment Name for each landing page.

Once you've set up and published your landing pages, you can monitor the setup by navigating to the Diagnostics Tab in your experiment and looking at the 'Exposure Stream' at the bottom of the page. This shows a real-time stream of the page loads along with the variant they were allocated.To interpret the results, go to the Pulse Results tab in the Experiment page. Here, you can add metrics you want to monitor and verify which variant is doing better.

Remember, you can extend this setup to run ABC or ABn tests by adding more variants in the Experiment Setup tab. If you want to run multiple landing page experiments without needing to update the code on the website for each experiment, consider using layers.

Additionally, you can find group level stats in the hover card. Just hover over the metric and click "view details".

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
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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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