Netcore Unbxd A/B Test is a no-code experimentation framework that lets ecommerce teams compare different site experiences, merchandising rules, and campaigns. By splitting traffic across variants and measuring performance, it helps identify the best-performing combination for engagement, conversion, and revenue.

You create one or more variations of an experience, define which shopper segments will be included, set the test duration, and choose a primary KPI such as conversion rate or revenue. Netcore Unbxd then distributes traffic according to your chosen split, tracks performance in real time, and helps you identify which variant wins against your business goals.

You can test almost any experience that Netcore Unbxd powers, including different merchandising rules, ranking strategies, banners, landing pages, and search or recommendations setups. You can also run segment-specific tests so, for example, new shoppers and repeat customers each see their own experimental experiences.

Within each test, you decide what percentage of shoppers should see each variant. You can maintain one experience as a control while testing one or more alternatives, or split traffic evenly across all variants. This gives you precise control over exposure, so you can limit risk while still gathering statistically meaningful data.

Netcore Unbxd A/B Test supports more than eight KPIs, including click-through rate, add-to-cart rate, conversion rate, revenue, and other engagement or funnel metrics. You select the primary KPI when configuring the test so the system can clearly identify which variant performs best against that success definition.

At the end of the test, you can automatically apply the winning variant across the full eligible audience. If there is no clear winner, you can use a preconfigured default option so there is always a safe, known experience to fall back on. This reduces the chance that an underperforming variant will keep running longer than it should.

Advanced reports show how each variant performs over time on key metrics like traffic, click-through rate, conversion rate, and revenue. You can compare variants side by side, understand how different segments reacted, and use those insights to refine future experiments, merchandising strategies, and on-site experiences.