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