Remove Aggregators Remove Hubspot Remove Multivariate analysis Remove Sample
article thumbnail

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.

article thumbnail

What is Post-Segmentation in A/B Testing? And 5 Tips for Using Advanced Post-Segmentation to Get More Out of Your Experiment Reports

Convert

This kind of simplified analysis works in a steady state, where there’s no impact from changes in external factors or factors that cannot be controlled. If the experience was designed with a specific segment in mind, the sample size and thus statistical significance are usually sufficient to allow a decision. Let’s find out!

article thumbnail

20 Conversion Optimization Tips for Zooming Past Your Competition

Unbounce

—but to make things simple, here are a few testing rules that should help you breeze past most common testing mistakes : Always determine a sample size in advance and wait until your experiment is over before looking at “statistical significance.” You can use one of several online sample size calculators to get yours figured out.