Let’s be honest, most companies don’t really think about nomenclature when it comes to setting up their tags, goals or A/B testing experiments. And that creates a horrible mess that will steal your teams valuable time and makes sure no-one really knows what’s going on. At Reflective Data, when we start working with a new […]
Running a basic A/B test is easy, but you know what else is easy? – Misinterpreting the results.
In this post, we are covering the common statistics terminology and models, and taking a closer look at the different methods of calculating A/B testing related metrics.
It has been a known problem for as long as front-end A/B testing solutions have been around. In this article, we take a look at why you should care and if it’s somehow possible to solve it.
If you run A/B tests using Optimizely, you have probably worked with its preview links. There’s a good chance that you never really thought about the individual parameters in these links, is this the case with you?
In this article I am going to share some of the best tips for Optimizely preview links that are going to make your work easier and save you a good amount of time.
At Reflective Data, we believe that A/B testing is one of the best uses for all the data you gather in your digital analytics system. Of course, there are unlimited other uses like spotting when something is broken or calculating the ROI for your latest campaign but these are mostly just acknowledging what has happened. A/B testing is (should be) taking an action based on that data.
In this article, we are going to give you a comprehensive overview of how to get started with A/B testing, including the prerequisites, tools, and methodologies. We are even going to give you some test ideas to get you started! In case you are already running A/B tests, I’d still suggest you take a look how others (we) approach the problems involved.
Around eight months ago, we signed up for Google Optimize invite list. We finally received our access around four months later and we have now been actively using it for three months.
So, what’s our verdict? Is it going to replace other tools like Optimizely or VWO? In this article, we are going to tell you exactly what we think about Google Optimize.
Google Optimize is a free A/B testing platform that integrates seamlessly with your Google Analytics setup. Around eight months ago, we signed up for their invite list.
We finally received our access around four months later and now we have been actively using it for three months.
Here’s what you need to know in order to get started with running experiments on your website using Google Optimize.
Today, it is safe to say that AI and machine learning are here to stay. At least every third trending submission on Producthunt has something to do with AI. These systems are becoming more prevalent in every industry, and logically, online business is no exception.