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4 Ways Marketing Automation Takes the Uncertainty Out of A/B Testing

Marketing Insider Group

Even if you’re doing manual multivariate testing, it is impossible to say how one factor influences another that is not in the same category. Uber uses a combination of multivariate and A/B/n testing to measure correlations and causations in the UX of their app. Furthermore, data analysis is incredibly tedious and boring.

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A/B Testing Statistics: Why Statistics Matter in Experimentation

Convert

A Quick Guide to Statistics and A/B Testing: The Terms You Need To Know. It is nearly impossible to conduct a reasonable A/B testing experiment without having a grip on statistics. These three terms come in handy when you are going through the summary statistics of an A/B test. In statistical power parlance, the Greek letter ?

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Operational Systems Should Be Designed with Testing in Mind

Customer Experience Matrix

A bit more reflection led me to the multivariate testing systems I have been looking at recently— Optimost , Offermatica , Memetrics , SiteSpect , Vertster. reporting and analysis, so users can easily read test results, understand their implications, and use the knowledge effectively.

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What is N testing? (In 100 Words or Less)

Hubspot

Now, you might be wondering, "How does this differ from multivariate testing?". Multivariate testing is usually more comprehensive than A/B/n tests. For example, an A/B/n test will test one element of a web page, while a multivariate test will test multiple variables at once. It's a good question.

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QualPro Applies Multivariate Testing to Marketing

Customer Experience Matrix

As loyal readers of this blog know, multivariate testing is one of the techniques I feel are critical to advancing the art of Customer Experience Management. This is because MVT allows systematic analysis of the factors affecting the outcome of a process.

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What Is Split Testing? Best Split Testing Tools and Strategies

Optinmonster

While split testing compares two different versions, multivariate testing goes a step further by examining multiple variables simultaneously. Segment Your Audience Divide your sample size audience randomly into two equal groups to ensure that each group is statistically similar.

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Want better results? Start with social testing

Sprout Social

Statistical significance: Statistical significance is the likelihood that your test results are indeed caused by the variables you change and not due to chance. Developing a test with statistical significance requires a large enough sample size (for example, testing a variable using 100 messages rather than 10) and a clear control.