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Optimizely Alternatives: A/B Testing Platforms to Consider for 2021

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But it takes some analysis to determine if this is the case. RECOMMENDED RESOURCE : How to Buy an A/B Testing Tool in 2021. We are already carrying a big bag of diamonds (aka, SaaS products) and to fit another diamond in our satchel it needs to be so good it forces us to swap one of our diamonds for a new hunk of Bling. G2 Rating: 4.7

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Encourage Innovation & Secure Buy-In with a Balanced Portfolio of Experiments

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Failing to do so endangers buy-in. Struggling to secure buy-in? We’ll use our lever framework to tag up these insights, and then using the master levers, cost, trust, comprehension, usability and motivation we can start to see where the barriers and motivations lie. With iterations and new applications of the lever.

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Meta-Analysis in Online Controlled Experiments: An Unbiased Look at the Power and Limitations of This Scientific Method

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How useful is meta-analysis in A/B testing and other online experiments? Or is meta-analysis just a lazy excuse to simply rely on “proven patterns” instead of building on situation-specific data to innovate within your business through experience? What is Meta-Analysis? Examples of Meta-Analysis in Online Controlled Experiments.

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42 Conversion Rate Optimization and A/B Testing Stats For 2021

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Only 0.78% of people are running Multivariate tests and 0.57% are running personalization campaigns. Rather than having to convince their boss to run tests, testing and data analysis are embraced at all levels. Language barriers and population sizes can directly affect the number of tests you might run. CXL + Convert ).