Overview

A/B Testing in UNBXD Browse allows you to experiment with different versions of browse pages or strategies and compare how each performs against a defined metric. This is ideal for data-backed decision-making. This helps you determine what design, placement, or configuration leads to better engagement.

Example

In the provided example, the “Daily Deals” campaign ran on the Sale > Daily Deals page between Feb 25, 2025 and Mar 06, 2025.

AB Test Status: Active
Campaign Status: Expired
Winning Metric: Revenue_Per_Visit (RPV)

You can compare how each test group performed across various KPIs to determine the more successful variant.

Key Metrics

Refer to the given table to know the metrics avilable here.

Column Name	Description
Test Groups	The variants (A, B, etc.) tested during the campaign.
Page Views	Total views each group’s version of the page received.
Clicks	Number of product clicks from that version.
Click Rate	Clicks per page view – indicates product engagement.
Carts	Number of add-to-cart actions from users in that group.
Cart Rate	Cart additions per page view.
Sale Through	Number of completed orders.
Revenue	Total revenue generated from that test group.
Conv Rate	Conversion rate – often calculated as Orders / Visitors.
CTR	Click Through Rate – consistent with other reports.
AOV	Average Order Value: Revenue divided by number of orders.
RPV	Revenue Per Visit: Total revenue divided by total visits. This is often the Winning Metric.

Filters

The A/B Tests section includes powerful filtering options, allowing you to drill into results by different audience segments:

Device Filter: Select fromDesktop, Tablet , and Mobile
Location Filter: Segment test results based on user geolocation.
Visitor Type Filter: Select betweenNew Visitors and Existing Visitors.