In determining your marketing strategy, segmentation is critical to success — it’s the foundation on which your advertising rests. When building that foundation, you have time segmentation, media segmentation, price segmentation and more, but in the interest of brevity, we’ll focus on the three most popular forms: psychographic, demographic and geographic segmentation.
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Depending on whether you are using the free or 360 version of Google Analytics you get 20 or 200 custom dimensions and metrics to work with.
When used correctly, these custom definitions can be one of the most useful custom features in Google Analytics. They allow you to tailor your analytics to meet your needs and to match your KPI-s.
One of the most common problems related to custom definitions has been that people don’t know what exactly are the dimensions and metrics they should be tracking.
There is a wide variety of Javascript data visualization (charting) libraries available for free. One problem this (good) situation has caused is that it can be rather difficult to pick the right one for your project. And, trust me, switching the library after it has grown to be part of your project is a real pain in the butt.
If you create a product for everyone, you’re creating it for no one. As much as you want to appeal to a wide audience with your designs, you need to get very clear about who it is you’re targeting and what they are looking for. These different users don’t have the same needs, and they’re drawn to your application or platform for different reasons.
Only Google knows exactly how many websites are using Google Analytics, yet estimates suggest as many as 30-50 million websites use the service.
In this article, I’ll discuss how you can use Google Analytics data safely and what kind of data security and privacy options you can choose within Google Analytics.
Beta testing is most effective when it is carried out early enough to incorporate test feedback but late enough for a realistic almost-ready product to be tested. Given the value and timing of beta tests, you’ll need to find the right testers at short notice and within a tight budget.
Whether you are building an app from scratch or simply want to port from .NET Framework to .NET Core, good beta testing is about making sure your product release is consistent with market expectations. Ignoring beta testing can lead to unpleasant surprises when you eventually roll out your product.
Google Analytics, undoubtedly an industry leader in digital analytics, comes with a decent list of features available out of the box. Naturally, every website is different and so are their key objectives.
Tracking the performance of those key objectives is exactly where Google Analytics goals come into play. In this article, we are covering how to track the popular user actions as goals in Google Analytics.
Google Analytics’s visual interface is great for getting a quick overview and basic data exploration. Often times, in order to find useful insights, you need to take a deeper look and the visual interface just don’t cut it anymore.
In case you are like me, and many other data-driven marketers/analysts, you like working with spreadsheets. Luckily, pulling your Google Analytics data into Google Spreadsheets is easier than you might think.
If you’ve ever worked with Google Analytics API, you are probably familiar with the Query Explorer. What many users don’t know about is that Google also has a similar tool called Request Composer. The main difference between the two is that while Query Explorer is built on top of Reporting API v3 the Request Composer […]
Apache Superset is a modern, enterprise-ready business intelligence web application that makes it easy to visualise large datasets and build complex dashboards. At Reflective Data, we are using Apache Superset to monitor all data going through our platform with minimum latency. This allows us to easily combine data from different databases and every analyst can […]