A/B testing, also known as split testing, is a method of comparing two versions of a webpage, email, or advertisement to determine which one performs better in terms of achieving a desired outcome, such as conversions or click-through rates. A/B testing involves creating two variants of a webpage or element, known as the control (A) and the variation (B), and then randomly presenting these variants to users to measure their respective performances.
To conduct A/B testing, marketers define a hypothesis and identify the elements they want to test, such as headlines, call-to-action buttons, or page layouts. They then use A/B testing tools or platforms to split traffic between the control and variation versions and track key metrics, such as conversion rates or click-through rates, to determine which variant performs better. Once a statistically significant sample size is reached, the winning variant is identified, and the results are used to make data-driven decisions about website optimization and marketing strategies.
Also see: SEO strategies, SEO tools, SEO blogs, SEO forums, Conversion Rate Optimization (CRO), Influencer Marketing, Viral Marketing, Affiliate Marketing, Retargeting/Remarketing, Customer Relationship Management (CRM), Content Management System (CMS), Programmatic Advertising, Lead Generation, Market Segmentation, Brand Equity, Marketing Automation
