> ## Documentation Index
> Fetch the complete documentation index at: https://launchdarkly-preview.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Warehouse native metrics

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

> For the complete documentation index, see [llms.txt](/llms.txt). For the full documentation snapshot, see [llms-full.txt](/llms-full.txt).

## Overview

This topic explains how to configure a warehouse native metric for use in an experiment. Warehouse native metrics are metrics that measure events stored in an external warehouse, such as Snowflake.

## Prerequisites

Before you can create a warehouse native metric, you must configure a [Snowflake native Experimentation integration](/home/warehouse-native/snowflake-configure).

You should also create a new metric data source for the integration, which you can use to create a warehouse native metric. To learn more, read [Metric data sources](/home/warehouse-native/metric-data-sources). You can optionally create a new data source when you create a new metric.

### Warehouse native metric requirements

Warehouse native metrics must:

* be any of [custom conversion binary](/home/metrics/custom), [custom conversion count](/home/metrics/custom-count), or [custom numeric](/home/metrics/custom-numeric)

* use the ["average" analysis method](/home/metrics/components#analysis-method)Experiments that use warehouse native metrics cannot use:

* [clicked or tapped metrics](/home/metrics/click)

* [page viewed metrics](/home/metrics/pageview)

* [metric groups](/home/metrics/metric-groups)

* LaunchDarkly hosted metrics that measure events from LaunchDarkly SDKs

* metrics that use the [percentile analysis method](/home/metrics/components#analysis-method)

## Create a warehouse native metric

To create a warehouse native metric:

1. Navigate to the **Metrics** list.
2. Click **Create metric**. The "Create metric" dialog appears.
3. If you use Snowflake native experimentation, you have the option to select either **LaunchDarkly hosted** or **Warehouse native** as the source for metric events. Select **Warehouse native** to measure events from an external warehouse, such as Snowflake.
4. Select an existing data source from **Metric data source**, or click **+ Create** to create a new data source.

<Frame caption="Selecting a data source for a warehouse native metric.">
  ![Selecting a data source for a warehouse native metric.](https://files.buildwithfern.com/https://launchdarkly.docs.buildwithfern.com/docs/6e84b131f06ca9d62e672d4829781d1ed70c4a1b37ca1601bcd010a10ef175b1/assets/images/__LD_UI_no_test/warehouse-metric-data-source.png)
</Frame>

5. Finish creating the metric by continuing the procedure as described in [custom conversion binary](/home/metrics/custom), [custom conversion count](/home/metrics/custom-count), or [custom numeric](/home/metrics/custom-numeric). You can now [create an experiment](/home/warehouse-native/creating) by selecting this metric.