> ## Documentation Index
> Fetch the complete documentation index at: https://docs.genlook.app/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics & Attribution

> Measure what virtual try-on does for your store: try-ons, attributed revenue, conversion rate, leads, and a live per-try-on activity feed.

Open **Analytics** in the Genlook app. It has two views, **Overview** for the numbers and **Activity** for the individual try-ons, with a shared **date range** selector that includes a **Current billing period** option so you can line the numbers up with your plan usage.

Try-ons, revenue, and conversion update live; the remaining stats refresh hourly.

## Revenue and attribution

The headline card answers the question you installed the app for: **how much revenue did try-on drive?**

An order is **attributed** when the shopper ran a try-on before buying, within the **attribution window** you choose on the card. Two controls let you decide how strict to be:

* **Attribution window**: how long after a try-on a purchase still counts.
* **Counted value**: whether an attributed order counts in full, or only the products the shopper actually tried on.

Alongside revenue you get a **conversion rate** card comparing shoppers who tried on against your baseline, and a **leads** card counting the emails collected in the try-on flow (see [email collection](/docs/virtual-tryon/app/tryon-settings#email-collection)).

<Tip>
  Start with the defaults, and tighten **Counted value** to tried-on products only when you want the most conservative possible number, for example to make the business case internally.
</Tip>

## Engagement

The engagement row tracks how shoppers use the widget:

* **Total Try-Ons** and **Unique Shoppers** over the selected range.
* **Widget Open Rate**: how many product page visitors open the try-on widget.
* **Try-ons per shopper**, **Came back for more** (shoppers who returned for another session), and **Identified shoppers** (try-ons linked to a known customer or collected email).

Below it, a **trend chart** plots daily try-ons against attributed orders, and panels break the numbers down by **most tried-on products**, **shoppers**, **countries**, and **sharing** activity.

<Tip>
  The **most tried-on products** table is merchandising signal, not just a leaderboard: products with many try-ons but few orders may have a price, sizing, or photography problem worth a look.
</Tip>

## Activity

Switch to **Activity** for the individual try-on feed: each try-on with its product, filterable by product and by **All shoppers / Identified**. It is the fastest way to sanity-check that everything works after install, and to see in concrete terms what shoppers are trying on right now.

The home page of the app also shows a compact live pulse of today's try-ons.

## Beyond the dashboard

* Try-on activity can flow into your marketing stack in real time: see [integrations](/docs/virtual-tryon/integrations/introduction) for Shopify Flow, Klaviyo, segments, and webhooks.
* In-store QR try-ons get their own performance panel on the [In-store page](/docs/virtual-tryon/retail).