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A/B Testing Statistics: Why Statistics Matter in Experimentation

Convert

While a platform like Convert Experiences can take care of all the statistical measuring, reasoning, and analysis for you, having a basic understanding of some statistical terms will certainly help you. Hence, the p-value is a mathematical device to check the validity of the null hypothesis.

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The Impact of AI on Experimentation: How Are Real Optimizers Using Artificial Intelligence to Test and Learn?

Convert

Here are 3 examples from peer reviewed research to shed light on the variance: “Artificial intelligence is the study of how to make computers do things that, at the moment, people do better” (Russell & Norvig, 2016, p. A/B testing is still a valuable tool for testing and validating hypotheses in a controlled environment.

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

Convert

You aren’t experimenting just to get more leads or to improve only your revenue-centric KPIs. For me, given that I’m a bit of a sucker for semantics, there are two valid interpretations. Other tests are categorized on the basis of the type of insight they validate and activate. TL;DR : The ROI of experiments is important.

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The Entrepreneurs’ Guide to A/B Testing on Shopify Stores (+ 9 Shopify Entrepreneurs Share Their A/B Testing Stories With Results)

Convert

In a 2007 study to investigate how people weigh factors to make purchasing decisions, participants were shown product images and then the price. In fact, Carreri’s pulse analysis for different industries reveals a common theme—people don’t tend to share insights about their on-site experience. Leave little room for misinterpretation.

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The Entrepreneurs’ Guide to A/B Testing on Shopify Stores (+ 9 Shopify Entrepreneurs Share Their A/B Testing Stories With Results)

Convert

In a 2007 study to investigate how people weigh factors to make purchasing decisions, participants were shown product images and then the price. In fact, Carreri’s pulse analysis for different industries reveals a common theme—people don’t tend to share insights about their on-site experience. Leave little room for misinterpretation.

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

Convert

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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20 Conversion Optimization Tips for Zooming Past Your Competition

Unbounce

CRO can give your marketing team ideas for what you can be doing better to convert visitors into leads or customers, and it can help you discover which experiences are truly optimal, using A/B tests. Multivariate test. Multivariate test. Does one segment react overwhelmingly positive to a test you’ve run? Bandit test.