It's that time again. Shame On UX will be meeting next week for our June meet-up, this time to discuss split testing using real data.
When it comes to split testing there is a fine line between purpose and approach. The common goal when testing is pretty simple; increase conversion rate. This could be the conversion rate of a shopping cart, a contact form, a newsletter sign-up, time spent on the site, number of pages viewed, etc. The purpose is almost always improvement in one sense or another.
What I have found personally, is not enough people discuss their approach to testing, and designing an effective test takes some practice. The goal for this meet-up is to provide you with a set of examples and discuss how to utilize data you already have (or can pretty easily gather) to create a testing plan that makes sense for your project and is based on actual data, not gumdrops and unicorns.
Using data from analytics tools to inform the design of your tests, you will not only ensure you are testing for the greatest impact, but will be able to track the real world impact of your improvements.
I have a handful of examples from my own tests, but as usual I am looking for contributions from the community. If you have anything you would like to discuss in terms of tests you have run, data you have gathered, research you have conducted, or even tests you are thinking about, submit them to ShameOnUX.com/Contribute.
Please do not hesitate to contact me with any questions. See you Thursday!