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

# Experience Analytics

> Explore Jurni experience analytics to measure how visitors interact with your experiences. Understand engagement, conversion, and behavior patterns.

Experience Analytics shows how a specific Jurni experience performs across traffic, engagement, commerce steps, and revenue. Use it to understand the performance of the page itself before comparing it against other variants in an experiment.

## What to look at first

Start with four questions:

1. **How much traffic reached the experience?** Review sessions.
2. **Are shoppers showing purchase intent?** Review add-to-cart and checkout rates.
3. **Are they converting?** Review purchases and CVR.
4. **How valuable is the traffic?** Review revenue, AOV, and revenue per session.

## Core metrics

| Metric           | What it tells you                                          |
| ---------------- | ---------------------------------------------------------- |
| Sessions         | How much attributed traffic reached the experience         |
| Add-to-Cart Rate | Whether visitors are beginning the purchase process        |
| Checkout Rate    | Whether shoppers are progressing from cart toward checkout |
| CVR              | How efficiently sessions turn into purchases               |
| Revenue          | Total attributed revenue in the selected scope             |
| AOV              | Average value of each completed order                      |
| RPS              | Revenue generated per session                              |

## Diagnose performance across the conversion journey

Do not treat every CVR change as a landing-page problem. Use the step metrics to identify where the change is happening.

### Low add-to-cart rate

Investigate:

* Message-to-ad alignment
* Product selection
* Offer clarity
* Buy Box usability
* Mobile layout
* Pricing and savings communication

### Healthy add-to-cart, low checkout

Investigate:

* Cart configuration
* Unexpected cart contents
* Discounts not applying
* Subscription or selling-plan issues
* Cart app conflicts

### Healthy checkout, low purchase

Investigate the Shopify checkout and payment flow, shipping expectations, taxes, discount behavior, or other checkout-specific friction.

## Compare time periods carefully

When comparing two time ranges, consider changes outside the page itself:

* Traffic source or campaign mix
* Promotion or pricing
* Inventory
* Paid-media targeting
* Day-of-week mix
* Seasonality

A page can be unchanged while its performance changes because the incoming traffic changed.

## Use experiments for controlled comparisons

If you want to know whether a page change **caused** a performance difference, use an experiment rather than comparing two unrelated time periods. An A/B test controls the traffic distribution so the variants can be evaluated under more comparable conditions.

## Related guides

* Analytics overview
* Conversion step performance
* Filtering data
* Metrics glossary
* Create and run an A/B test


## Related topics

- [Analytics Overview: Experiences & Experiments](/analytics-reporting/overview.md)
- [Filtering Data on Experiences](/analytics-reporting/filtering-experiences.md)
- [Read Experiment Results](/experiments/reading-results.md)
- [Conversion Step Performance](/analytics-reporting/funnel-step-performance.md)
- [Read Meta ad account insights](/analytics-reporting/meta-ad-insights.md)