Download the Whitepaper
Performance validation testing observes the effects of new offers, new user experiences, new features and capabilities as they are introduced to consumers. E-commerce stakeholders use business intelligence dashboards and web analytics to evaluate whether a new feature has a desired effect.
In order to make informed decisions about implementing adoption-based technologies, retailers must conduct performance evaluation tests to track patterns across the entire customer life-cycle. A/B testing has been the gold standard in the e-commerce industry, yet the increasing complexity of modern websites and adoption-based technologies cause standard A/B test tend to break down. Matched Cohort Analysis (MCA) offers better, more reliable performance validation because it avoids many of the technical pitfalls that cause A/B tests to break down.