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Statsig.

Statsig

Sync to Statsig segments and events from your warehouse to analyze product performance and run experiments.

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Define user targeting groups in segments for re-use in Feature Gates and Dynamic Configs

Log events to help monitor how your product is performing in real-time

Investigate product usage patterns that can point to further improvements and new product hypotheses from the data in your warehouse

The world's most innovative companies choose Hightouch as their Composable CDP

Spotify.
PetSmart.
WeightWatchers.
Ramp.
Calendly.
GitLab.
Grammarly.
Spotify.
Aritzia.
Warner Music Group.
PetSmart.
Tripadvisor.
GameStop.
Cars.com.
WeightWatchers.
Iterable.
Ramp.
Plaid.
Calendly.
GitLab.
Malwarebytes.
Greenhouse.
Grammarly.

Improve your Statsig data with Hightouch

Product experience use cases

With this integration, you can power your product experience platform with the most up-to-date user data directly from your data warehouse. By syncing enriched data from your warehouse, you can augment properties on users and fully utilize your platform’s features. This ensures that your team has the most accurate and relevant data at their fingertips, allowing them to make data-driven decisions that drive product growth and retention.

Analytics use cases

Ideally, your data warehouse should serve as the true source of data that contains all of your customer data. When this is the case, using your warehouse as the source for your analytics platforms enables richer product-usage analysis. You can sync enriched data from your warehouse to create more granular segments as well as bring in data from your engagement tools. Additionally, you can ensure that your product and growth teams work with data that is always up-to-date and in the expected format.

Read our Statsig documentation

All 35+ Statsig integrations

Airtable to Statsig
Chaotic graph of interconnected nodes representing data warehouses, data, and business tools.

Before Hightouch

  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Clean and easily readable graph of data moving from a warehouse node, to Hightouch, to business tools.

After Hightouch

  • Consistent and accurate
  • Observable and governed
  • Scalable and flexible