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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. Sample and Population: Using all of your website’s traffic for A/B testing would, in theory, give you a general idea of your population.

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9 Types of Web Analytics Tools — And How to Know Which Ones You Really Need

Parse.ly

A/B and multivariate testing tools. This data also lets you measure performance against benchmarks and goals to see how your website is performing, where performance can be improved, and the effects of the actions you take to improve it. A/B and multivariate testing tools. Content analytics tools. Customer analytics tools.

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9 Types of Web Analytics Tools — And How to Know Which Ones You Really Need

Parse.ly

A/B and multivariate testing tools. This data also lets you measure performance against benchmarks and goals to see how your website is performing, where performance can be improved, and the effects of the actions you take to improve it. A/B and multivariate testing tools. Content analytics tools. Customer analytics tools.

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A/B Testing: A Guide You’ll Want to Bookmark

Convert

Statistical analysis is used to determine the winner of each test. This makes the data you collect during testing much more valuable, as you have a benchmark to compare it against. However, remember that for every additional variant added in an A/B/n test, the time to reach statistical significance will increase.

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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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The No Jargon Step by Step Guide to (Thoroughly) Understanding A/B Testing Metrics

Convert

And someone high up (*cough* the incorrigible HiPPO *cough*) will spew some mumbo-jumbo about how experimentation can never trump traditional channels like ads and events that have stood the test of time. Good Read: The Complete Guide to Multivariate Testing in 2022. Budget cuts will follow. See what just happened?