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

# Analytics

> Track and measure the performance of your workflows in zyme with analytics on views, bookings, and conversion.

## Overview

<img src="https://mintlify.s3.us-west-1.amazonaws.com/zyme-b6636c57/images/analytics.png" alt="Analytics" noZoom class="inline-block rounded-lg" />

At the top of the page, you can filter analytics by:

* **Plan** – Select which workflow you want to analyze.
* **Metric** – Switch between views, bookings, confirmations, or conversion rates.
* **Date range** – Choose specific start and end dates to narrow your analysis.
* **Limit** – Define how many records or days to display.

This makes it easy to focus on the data most relevant to you.

## Plan performance

Each workflow (plan) is displayed in a table with key metrics:

* **Views** – Total times the workflow page was viewed.
* **Uniques** – Unique visitors who viewed the workflow.
* **Confirmed** – Number of confirmed bookings.
* **Conversion rate** – Percentage of visitors who booked.

## Summary

A quick snapshot of the selected plan’s performance, showing:

* **Views** – Total page views.
* **Unique** – Unique visitors.
* **Confirmed** – Number of confirmed bookings.
* **Conversion** – Overall conversion rate.
* **Starts** – How many participants began the workflow.
* **Canceled** – Number of canceled bookings.
* **Seats offered** – Total spots made available.
* **Seats booked** – How many of those spots were filled.

## Timeseries

The timeseries section shows **daily metrics** for the selected workflow within the chosen date range. Each entry includes:

* **Date** – The day the activity was recorded.
* **Views** – Total views that day.
* **Uniques** – Unique visitors that day.
* **Confirmed** – Bookings confirmed.
* **Conversion rate** – Percentage of visitors who booked.
* **Seats booked** – Number of seats booked.

This breakdown helps you identify spikes in interest or drop-offs over time.
