Get Ready for 2016—Get Nelio A/B Testing for $149

Read Get Ready for 2016—Get Nelio A/B Testing for $149

Our mission is to help you to get a more effective website, so that you can engage more visitors, offer them a better experience, and, ultimately, increase your revenues. That’s why we’re offering a whole year of Nelio A/B Testing for $149 only. Subscribe today and get the most out of your website during 2016!

5 Awesome Tips to Make Money with Your WordPress Blog

Read 5 Awesome Tips to Make Money with Your WordPress Blog

Making money is not easy. If it were, everybody would be making tons of it. But that doesn’t mean it’s impossible! You can definitely monetize your blog—take a look at these five ways to monetize your blog and get some revenue from your work.

Nelio A/B Testing 4.3.0 Brings Support for ResponseTap

Read Nelio A/B Testing 4.3.0 Brings Support for ResponseTap

Effective split testing tools do not only depend on the creation of alternative content, but also on tracking your visitors properly—that’s why our plugin improves its tracking functionalities on each release. On October 27, we launched Nelio A/B Testing 4.3, whose starring feature is ResponseTap support. With it, you’ll now be able to track offline phone calls in your split tests!

Create Better Plugins with the Plugin Boilerplate

Read Create Better Plugins with the Plugin Boilerplate

In 2013 we had a business idea and, for some reason, the goal of implementing it on top of WordPress. During the past two years we’ve learned a lot of things about the start-up ecosystem and about WordPress development. In this post, I’d like to share my experience and help you build better plugins using the Plugin Boilerplate.

A/B Testing Checklist: from Good to Great Tests

Read A/B Testing Checklist: from Good to Great Tests

Think about your latest test. You had a hunch that a certain change in your website would lead to more conversions, didn’t you? But you didn’t know for sure… otherwise, what’d be the point of A/B Testing, right? A/B Testing is 50% science, 50% luck. Let’s focus on the scientific facet of A/B Testing and try to design better experiments. Be systematic. Be accurate. Complete this checklist and reduce chance.

Why You Should Use Videos in WordPress

Read Why You Should Use Videos in WordPress

Videos tell a story using images, music, and words. And, as it turns out, videos receive the greatest share growth and greatest engagement (compared to other types of content). So, if you want to increase your conversion rates, why don’t you start to use videos?

The Day I Tried to Update Nelio External Featured Image

Read The Day I Tried to Update Nelio External Featured Image

In May 2014 we published Nelio External Featured Image, a plugin for using any image in the world wide web as your post’s featured image. A few weeks ago, I released a new version of the plugin to improve its compatibility with certain themes. Unfortunately, things did not work as I expected… Today, I’d like like to share the experience. In particular, I’ll share how the plugin works, why it needed the update, what went wrong, and how we fixed it.

How Do You Know When a Test is Over?

Read How Do You Know When a Test is Over?

You’ve created your first test and you now see some data on your results. As it turns out, according to these results the alternative page you’re testing is way better than the original one. But… can you trust these results? Is the alternative page really better than the original one? Let’s learn together what statistical significance is, its importance, and why you should be careful when calling a winner.

Can You Run Multiple A/B Tests at the Same Time?

Read Can You Run Multiple A/B Tests at the Same Time?

A/B Testing is a great method for figuring out the best strategy to engage your customers. But, unfortunately, it’s not a magical, instantaneous tool—it relies on your understanding of your business, customers, and website, and setting up new tests and getting meaningful results always takes time. In order to maximize your marketing efforts, you might be tempted to run multiple A/B tests at the same time.