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Using Cohort Analysis for Conversion Optimization

ConversionXL

With all the talk about A/B testing, it’s easy to forget there are other methods of measuring the effects of experimentations, such as cohort analysis. Whereas an A/B test is a cross-sectional study , a cohort experiment is a longitudinal study. Customers that converted in the last year that have added more than x seats.

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5 Insights from Every Speaker of ConversionXL Live 2016

ConversionXL

month” The 3 Levels of CRO: 1) Customer Journey 2) Hypothesis 3) Testing. Perhaps because they require effort (to X). Angle (motivation you provide – both conscious and non-conscious). Day 2: Optimization and Testing Strategies + Processes. Testing Capacity = How many test can you run per year? (52

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Top 5 Insights from Every Speaker of Digital Elite Camp 2018

ConversionXL

Make a connection between A/B testing and your boss/strategy. Go for “High Impact Testing” – those tests need a triple amount of effort of an average A/B test, but are worth it. Select tests that make a real impact. Use of in-app messaging to rapidly test segmented onboarding.