Metrics

Understand how Crobox metrics are calculated, find definitions for the default metrics, and create your own.

Metrics are the numbers behind every dashboard widget, from sessions and revenue to conversion rates. Every container comes with a set of default metrics, and you can create your own for the questions that matter to your business.

You'll find them in Analytics → Metrics. The Metrics tab lists every metric with its format, a readable formula, and its performance over the last three days, so you can sanity-check a metric before you add it to a dashboard.

Create a metric

Build custom metrics, from simple counts to calculated rates.

Group by aliases

Combine group by keys that mean the same thing into one.

How metrics are built

Every metric is one of two types:

• Simple - Counts or sums a single value, like sessions, transactions, or revenue. Filters narrow it down, for example to sessions where a visitor added a product to their cart.

• Calculated - Combines other metrics with an operator: plus, minus, divided by, or multiplied by. For example, Average Order Value is Revenue ÷ Transactions.

In the Formula column, filters appear in brackets. For example, Sessions (Cart) means sessions that include an add to cart.

The Formula column doesn't show brackets for nested calculations, so a metric built as (A − B) ÷ C displays as A − B ÷ C. Open the metric to see exactly how it's built.

Where metric data comes from

Your analytics data comes from:

• JavaScript tracking installed on your site pages

• Experience interactions from Product Finder, Campaigns, and other Crobox tools

• E-commerce events captured through your implementation

• Cross-session tracking that follows customer journeys over time

The depth and accuracy of your metrics depend on which Crobox experiences you have installed and how they're configured on your site.

Missing expected metrics? Check that your Crobox implementation covers all relevant pages and events. Contact your technical team or Crobox support if you need help expanding your tracking coverage.

Default metrics

Default metrics are available in every container and can't be removed. Find the exact formula for each one in Analytics → Metrics.

Core Site Metrics

Metric	Definition	Use Case
Actions	Total interactions customers make on your site - clicks, adds to cart, custom actions, and more	Monitor overall site engagement and activity levels
Pageviews	How many pages visitors view during their time on your site	Track content consumption and popular pages
Sessions	Individual visits to your site, from arrival to departure	Understand traffic volume and visitor patterns
Users	Unique individuals visiting your site (removing duplicate visits)	Measure your actual audience size and reach

Performance Metrics

Metric	Definition	Use Case
Revenue	Total money earned from completed purchases	Track financial performance and business growth
Transactions	Number of completed purchases on your site	Monitor sales volume and conversion success
Conversion Rate	Percentage of visitors who make a purchase	Measure how effectively your site turns visitors into customers
Average Order Value	Average amount customers spend per purchase	Understand spending patterns and identify upselling opportunities

Cross-Session Performance Metrics

Metric	Definition	Use Case
Revenue (cross-session)	Total money earned from customers within 30 days of their initial interaction	Understand the full revenue impact of customer discovery journeys, including delayed purchases
Transactions (cross-session)	Number of purchases completed by customers within 30 days of their initial interaction	Measure true conversion impact beyond single-session purchases
Conversion Rate (cross-session)	Percentage of initial visitors who make a purchase within 30 days of first interaction	Evaluate the long-term effectiveness of customer acquisition and engagement

Cross-session metrics provide a more complete picture of customer behavior by tracking the full customer journey, not just immediate conversions. These metrics are especially valuable for understanding the impact of discovery experiences on customers who need time to research before purchasing.

Engagement Metrics

Metric	Definition	Use Case
Product Clicks	Number of product clicks by visitors	Identify which products generate the most interest
Product Carts	Number of products added to shopping carts	Track purchase intent and product appeal
Product Boughts	Products that customers actually purchased	See which products convert from interest to sales
Add-to-Cart Rate	Percentage of sessions where visitors add items to their cart	Measure how well products appeal to shoppers
Click-through Rate	How often products generates clicks from visitors	Measure content impressions and click event tracking
Buy-to-Detail Rate	Percentage of product page visits that result in purchases	Identify your most effective product pages

Product Finder Specific Metrics

Metric	Definition	Use Case
Finder Completion Rate	Percentage of customers who complete your Product Finder	Measure how engaging and useful your guided selling tools are
Product Finder Products Bought	Items purchased directly through Product Finder recommendations	Track the sales impact of your guided selling experiences
Product Finder Products Recommended	Products suggested by your Product Finder experience	Monitor recommendation volume and system performance

Recommender Specific Metrics

Metric	Definition	Use Case
Recommenders Shown	Number of times your Product Recommender experience is displayed to users	Track recommendation reach and impression volume across your site
Recommenders Clicked	Number of times customers click on recommended products	Measure engagement with your recommendations and identify product suggestions

Recommender specific metrics apply only to Recommender experiences active on your site.

Recommender specific metrics should be used with the group bys: Action Recommender ID and Action Product ID, for accurate results. Contact Support for best practice recommender template dashboards.

Analyzing Recommender Data

Recommender analytics support multiple grouping dimensions to help you understand performance from different angles:

• Group by Action Recommender ID: Evaluate individual Recommender campaigns independently

• Group by Action Product ID: Evaluate individual products recommended within a Recommender

• Group by additional dimensions

  • Segment data by other product or context attributes available in your implementation (e.g; Product Title, Region Country). This helps organize and filter your data to focus on specific subsets of your Products and Recommender performance.

  • Multiple grouping levels combine grouping dimensions for deeper analysis. For example, group by both Recommender ID and Product to see which products are recommended by each campaign, then add another dimension to slice the data further.

• Connecting Recommender Analytics to commercial performance: For deeper insights, cross-reference Recommender metrics with your site's core metrics

FAQ

Is bot traffic included in my Crobox analytics?

No. Crobox identifies known bots, crawlers and automated traffic, and excludes those sessions from your metrics, so your analytics reflect real visitors.

Automated testing tools (such as Selenium or Playwright) are also excluded. The Crobox snippet does not run in these sessions, so they don't appear in your data.