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Geotargeting

Geotargeting involves delivering distinct content or advertisements to users based on their geographical location. The user's location can be determined through various means, such as IP addresses, device settings, or GPS coordinates.

In the context of Statsig, geotargeting serves to regulate the exposure of specific features or experiments based on users' geographic positions. For instance, you may wish to test a new feature solely with users situated in a particular country or region.

Statsig offers country-level geotargeting by automatically deducing the user's country from their IP address within client SDKs. However, the platform does not natively support state-level geotargeting. To incorporate state-level geotargeting, you'd require an additional geolocation service to identify the state and establish it as a custom field in the user profile. Subsequently, you can use this custom field for targeting.

Keep in mind that while the IP address can infer the user's country, more specific geolocation data like state or city necessitates explicit provision during user login or event logging.

Apart from geotargeting, Statsig provides the means to target users based on various attributes, including device type, operating system, app version, and custom attributes defined by you. This versatility enables precise and flexible user targeting for experiments and feature deployments.

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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.
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.
Brex
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.
SoundCloud
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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