Plug this information into a calculator and you’ll see that page a has a 5% conversion rate to page b’s 8% conversion rate. Giving page b a better conversion rate than 78%. One calculator notes that you can be 100% certain that page b will perform better than page a bas on these results. You can run the same analysis on two different versions of a social mia ad. Two different versions of a blog post title. Radial radialcorp the best e-commerce platforms: radial radial is a trading company specializing in omnichannel technology. Fulfillment. Payments and customer service. Their distribut order management solution offers businesses a complete system for fulfilling orders quickly and profitably.
How to use a statistical significance
And any other element of your marketing asia email list campaign to create a fully optimiz campaign. If you are proficient in google analytics . You can conduct a/b testing in the platform to compare and analyze two or more variations of a web page to optimize your website . How to use a statistical significance calculator each statistical significance calculator will work a little differently. But most of them are relatively simple. To calculate statistical significance for a/b testing. You’ll ne to focus on a metric that differs between the two versions of what you’re testing.
Such as a paid ad or landing page
Such as a paid ad or landing page. Using the landing page Hong Kong Lead example above. You’re trying to determine whether the call to action on page a or page b is getting better conversions. Keep all other metrics the same to accurately test this. You will also ne to make sure that you use a specific sample size or time duration that is the same for each release. For example. You might measure data from each page for the same period of a week to get an accurate sample.