At Optimizely, our customers share success stories using our product everyday. They tweet, they email, they “like” us on Facebook. But rarely are we more charmed than when they blog about us. Check out five blogs that celebrate how Optimizely has helped our customers reach goals, improve process, and make testing better.
- Looking for design resources for your new small business? DesignCrowd’s got you. They think we’re “absolute gold for unlocking tweaks that can make you millions.” We like to think that we only use our Midas touch for good.
- Terry Whelan, an admitted Optimizely fanboy at CPC Search, thinks we’re a “secret weapon.” He’s saved time and resources for his clients with our testing platform and has included some great tips on how to get started. Continue reading
George Stephanis calls himself a code monkey. He is a developer at Speck Products and a Core Contributor at WordPress. We asked him a couple questions about the technical side of A/B testing.
Optimizely: How does A/B testing affect my page load time?
As a Web Strategist and A/B testing consultant, I’ve worked with everything from Fortune 100 companies to freshly minted start-ups. Regardless of the length of their customer list or the volume of their website traffic, they all ask me the same question: “How long should I run this A/B test for? How long will it take to get accurate results?” It’s a natural question and one that may be even more fundamental if you’re trying to reach a particular quarterly goal for your testing program. And while I’m not a statistician, I’m not afraid to say that it’s very rare that you’ll be able to conclusively say how long a test will need to run. Continue reading
The goal of any A/B test is to compare two (or more) versions of a web page and see which version performs best. What “performs best” actually means is entirely up to you and depending on the test’s goals, it could mean any number of things. But however you define “performs best,” you’ll measure this by a conversion goal, an aggregate goal, or an what I like to call an ultimate conversion goal.
Testing Theory: Academic Studies You’ll Actually Use is a series that provides practical testing ideas based on the study of how people make decisions (formally known as behavioral economics).
A common piece of advice in the AB testing space is to test headlines and images to find the combination that yields maximum value. But there are endless possibilities and it’s not feasible to test them all, so how do you focus your tests on only the content that’s most likely to have an impact? Having a good hypothesis of why a change will be effective is key, and one such theory is framing.