It’s not about the amount or quality of the data that matters the most. It’s what you can do with it. The insights you can get by analyzing the numbers, the way you present them and the actions that are being made based on these insights.
But these insights don’t just sit there in your Google Analytics reports, you need to find them by asking the right questions.
In this article, I am going to focus on the right questions you must be asking when analyzing the data.
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.
As there are plenty of analytics resources on the internet, we decided to list the best of them in one place (here).
We are doing our best to keep this list constantly updated!
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.
Google Analytics, the most widely used tool for gathering data from your website usage, comes with pretty good setup out-of-the-box and will serve the needs for most basic users. Once your website becomes more sophisticated and starts getting more traffic, the default setup just won’t cut it anymore.
Luckily, changing the settings of your view in Google Analytics is rather straight forward. In this article, I am going to cover the setup I use on most websites and will give go into some more detail on the most important settings.
Let’s admit, analytics can be hard. We are taking a step to make it easier, putting together a dictionary for analytics-related terms and definitions. Take a look and contribute to the list of terms!
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.
At Reflective Data we believe that every analytics platform should make sure that their users find what they are looking for as fast as possible. By figuring out and setting up Google Analytics views, you can make it much easier and faster to analyze a specific part of your website.