Accumulating raw data and making sense out of it are two different things. Whether you own a blog, portal or a business web site, conversion optimization is an ongoing process supported by different types of methodologies. Two such methodologies are split and A/B testing. Sometimes, we generate lots of data through these testing methods but fail to interpret it correctly.
Fortunately, Split and A/B Testing Confidence Calculator can lessen your burden to a great extent by providing immensely useful statistics from the raw data provided by you.
You only need to provide the control data and at least one treatment data to this calculator and instantly you get the conversion rate (percentage), Z-score, confidence level and recommended sample size. The last column (see image above) of recommended sample size is of extreme importance. If you have enormous amount of data, the calculation may not give you accurate results due to variable factors. Recommended sample size lets you dig out the real picture in different circumstances. This significantly helps in optimizing your conversion funnel.
I'd highly recommend this tool to budding analytics and conversion optimization professionals.
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