Most times an A/B testing strategy focuses on impacting the bottom-line or KPIs for a business. However, there will be times where other metrics will be of importance and it’s critical to have a strategy in place to ensure these A/B testing KPIs are accurately tracked, and that the correct statistical significance analysis is being used to evaluate and optimize customer experience performance. In this blog post, Director of Optimization, Roopa Carpenter, describes what steps need to be taken to resolve these issues, provides an example client use case, and introduces the new and improved Blast Statistical Significance Calculator.
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