Description

Our A/B/n Testing Platform Integration service enables businesses to run controlled experiments across digital platforms—whether it’s two variants (A/B) or multivariate testing (A/B/n). We integrate or build experimentation layers that support randomization, user bucketing, exposure tracking, and real-time conversion analysis. Platforms like Optimizely, LaunchDarkly, VWO, or custom in-house experimentation frameworks using Python, R, or JavaScript are supported. We ensure that each test runs with statistical rigor using frequentist or Bayesian methods, confidence interval tracking, and significance testing. Tests can be conducted across UI components, algorithm variations (e.g., recommendation engine), pricing pages, or backend logic. Integration with product analytics (like Mixpanel, Amplitude), data warehouses, and visualization tools (Tableau, Looker) allows seamless analysis. This service empowers product managers, data scientists, and marketers to make data-informed decisions, reduce bias, and rapidly iterate with low risk—leading to optimized user experiences, conversions, and feature rollouts.