---
title: MEX on Warehouse Native
description: "Use Metrics Explorer (MEX) on Statsig Warehouse Native to slice metric data by dimensions, time period, and user properties for ad hoc analysis."
product: general
last_updated: 2025-09-18
token_estimate: 471
---
# MEX on Warehouse Native

> For AI agents: a documentation index is available at [/llms.txt](/llms.txt). Append `.md` to any page URL for markdown, or send `Accept: text/markdown`.

[Metrics Explorer](https://docs.statsig.com/product-analytics/overview) (or MEX) is Statsig's analytics solution. With Warehouse Native, MEX integrates directly on top of your tables to provide analysis on the same datasets you use for experimentation.

> **Info:**
>
> Contact the team to enable Metrics Explorer in your account.

## Functionality

### [Drill-Down and Filter](https://docs.statsig.com/product-analytics/overview)

Filter and group by fields to calculate measures as timeseries, bar-charts, and more.

### [Funnel Analysis](https://docs.statsig.com/product-analytics/funnels)

Run funnel analysis to understand how users move through your product.

### [Group By Experiment](https://docs.statsig.com/product-analytics/drilldown#drilling-down)

View arbitrary timeseries and rollups grouped by experiment membership, allowing more observational analysis of what happened during your experiment.

### [Retention Chart](https://docs.statsig.com/product-analytics/drilldown#retention)

Analyze user retention reports to understand how effectively your product maintains user engagement over time.

### [Distribution Chart](https://docs.statsig.com/product-analytics/drilldown#distribution)

View distribution charts to help you visualize the range of user experiences across your product.

### Save, share, and view SQL

Save analyses and share them with coworkers. Viewing the SQL gives you access to the queries Statsig ran internally, which you can use as a starting point for deeper analysis.

## Use it with replays

MEX works together with [Session Replay](https://docs.statsig.com/session-replay/overview) to help you understand the user behavior you measure in your experiments.