Hightouch

Definition and overview of Hightouch integration

Hightouch enables seamless integration with Statsig, allowing you to send events and keep segments up-to-date effortlessly. By leveraging Hightouch's powerful data integration capabilities, you can ingest data into Statsig from any source supported by Hightouch. This means you can tap into a wide range of data sources to enrich your experimentation and analysis efforts.

Once the integration is set up, Statsig automatically includes the events received from Hightouch in your Pulse and Experiment results. This seamless integration ensures that your feature gates and experiments benefit from the most up-to-date and relevant data, empowering you to make data-driven decisions with confidence.

With Hightouch's flexible data integration options, you can easily configure the sync process to match your specific requirements. Whether you need to send event data or keep your segments in sync, Hightouch's intuitive interface and powerful features make the setup process a breeze.

By combining the strengths of Hightouch's data integration capabilities with Statsig's experimentation platform, you can unlock valuable insights and optimize your product experiences based on reliable and comprehensive data. This integration streamlines your data workflow, saving you time and effort while ensuring data consistency across your experimentation initiatives.

Configuring events and segments

Event configuration process

To set up the Hightouch destination in Statsig, start by copying the Statsig Client-SDK API key from the API Keys tab in the Statsig console. In Hightouch, add a new destination, select Statsig, and enter the API key. Give your destination a descriptive name like "Statsig prod."

With the Statsig destination set up, you can configure a sync to send event data. Go to the Syncs overview page, click Add sync, select your model and Statsig destination, and choose Events as the sync type. Specify the event names, optionally include a timestamp column, and select user attributes to include.

Segment configuration process

Hightouch enables you to keep your Statsig segments in sync with your source data. To set this up, copy the Statsig Console API key from the API Keys tab in Statsig. In Hightouch, add a new Statsig destination using this key.

Create a new sync, select Segment as the type, and choose to create a new audience or use an existing one. Specify the audience ID type (userID or stableID), select the columns to match records on, and schedule the sync frequency. Your updated segments will be visible in Statsig.

Benefits and use cases

By syncing data from your warehouse to Statsig via Hightouch, you can power your product experiences with the most up-to-date user data. This ensures your team has the most accurate and relevant information to make data-driven decisions that drive product growth and retention.

Using your data warehouse as the source for Statsig enables richer product-usage analysis. You can sync enriched data from your warehouse to create more granular segments and bring in data from your engagement tools.

Hightouch helps ensure data consistency across your product and growth teams. When your data warehouse serves as the true source of customer data, syncing this data to Statsig keeps everyone working with information that is always current and in the expected format.

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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.
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Karandeep Anand
President
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Notion
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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.
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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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