a/b-testvssøkefilter

In digital marketing and business strategy, "a/b-test" and "søkefilter" (search filters) are connected through the optimization of user experience and conversion rates on digital platforms. Specifically, søkefilter allows users to narrow down product or content listings based on criteria such as category, price, or features, directly impacting how users interact with a website or app. An A/B test can be designed to compare different versions of søkefilter implementations—for example, testing variations in filter placement, filter types (checkboxes vs. dropdowns), or the number of filter options—to determine which configuration leads to higher engagement, faster product discovery, or increased conversion rates. This practical use of A/B testing on søkefilter functionality enables data-driven decisions that improve the efficiency of the search process, reduce user friction, and ultimately enhance business KPIs such as sales or lead generation. The WHY is that søkefilter affects user navigation and decision-making, and A/B testing provides a rigorous method to validate which filter designs or behaviors perform best. The HOW is by systematically exposing segments of users to different filter experiences and measuring their impact on defined metrics, allowing marketers and product teams to optimize the search experience iteratively and with empirical evidence.