A/B/N Testing

A/B testing is a mechanism that can be applied to eCommerce to increase the conversion rate on a page by comparing the response of visitor traffic on variations of page content. To ensure results are not impacted by uneven sample sizes, it’s important to evenly split page versions among all visitors (aka “split testing”).

The “n” in A/B/n refers to the unknown number of variations you will test. At the end of the test, one should compare the number of conversions per variation to determine the ideal, best-converting variation. Virtually every aspect of a website or email campaign can be A/B tested, and even the smallest changes can often yield surprisingly better results.

Reflektion
Reflektion

Reflektion’s AI-powered personalization platform listens to the behaviors of each individual shopper, utilizes Artificial Intelligence to calculate their preferences and intent, and then responds to every moment-to-moment interaction by displaying the most relevant content and products in real-time and across the digital touchpoints that matter most—including preview and site search, product recommendations, category and landing pages, and email.

Leading retail brands such as Hanes, Marmot, Skechers, and Ulta rely on Reflektion’s platform.

Founded by pioneers in Artificial Intelligence and awarded both the Best eCommerce Solution and Best Overall Business Technology Solution by SIIA in 2019, Reflektion combines individual shopper insights, product intelligence, and AI to create more relevant and impactful eCommerce experiences.