Warehouse native metrics

Overview

This topic explains how to configure a warehouse native metric for use in warehouse native experiments. Warehouse native metrics are metrics that measure events stored in an external warehouse that you specify. Warehouse native metrics are available for use in only warehouse native experiments.

You cannot create a warehouse native experiment until you have created a warehouse native metric for the external warehouse you want to experiment on.

Warehouse native metric requirements

Warehouse native metrics must:

• be either custom conversion binary, custom conversion count, or custom numeric
• use the “average” analysis method

Warehouse native experiments cannot use:

• clicked or tapped metrics
• page viewed metrics
• metric groups
• LaunchDarkly-hosted metrics that measure events from LaunchDarkly SDKs
• a percentile analysis method

Configure a warehouse native Experimentation integration

Before you create a warehouse native metric, you must configure a warehouse native Experimentation integration, such as Snowflake. Configuring a warehouse native Experimentation integration allows you to select a metric data source when you create a warehouse native metric.

Create warehouse native metrics

To create a warehouse native metric:

1. Follow the instructions to create a custom conversion binary, custom conversion count, or custom numeric.
2. In the “Data warehouse” section, select Warehouse-native.
3. Select a LaunchDarkly environment for the Metric data source.
   • The available environments will include only environments for which you have configured a warehouse native Experimentation integration.
   • If you do not see an environment available, check that you have configured your warehouse native Experimentation integration correctly.
4. Finish the metric creation process according to the instructions linked to in step 1.

You can now create a warehouse native experiment using this metric.