It’s crucial to have a solid understanding of who your users are and what they’ll need from you as soon as possible after launch. Analytics can help with this by providing key performance indicators that measure whether we’re meeting expectations, so our business has real data on hand before it starts investing time into building features for customers!
In this example, the business knows that 90% of their users are on Android devices and they use Facebook to acquire new customers. Knowing these two pieces of data allows them to make an informed decision about where best to expand based off-the user base sizes alone – should you double down in your efforts with one platform or look elsewhere?
It’s important to have data-driven applications so that you can learn from your users and improve the product. This guide provides some great examples of how analytics could look in digital products and services.
|DATA TO CAPTURE
|WHAT ARE USERS DOING
|Time of Day
|Active Daily Users
|Revenue per User
What tools should you employ with this analytics strategy?
You can’t get a holistic view of your application with just one analytics tool, but if you want operational flexibility post launch and mobile app space where changes go through store submittal processes for approval; then it’s important to use multiple tools. Combining these categories – namely analytics, abstraction as well as service quality– will give users everything they need when designing their next big idea!
Analytics packages are an integral part of understanding your user data. When choosing which analytics package is right for you, there are plenty of factors that go into selecting the perfect one including what kind or application platform it will be used on, and within a single vendor’s offerings they may offer multiple solutions so make sure not only do these matches up but also have features tailored specifically towards how this particular type business operates.
The two most popular analytics packages are Google Analytics for Firebase and Google’s own native app.
Google Analytics for Firebase
Google Analytics for Firebase is a great solution if you want to know how people are interacting with your mobile application. It still uses Google’s core analytics, but it’s exposed as an event-based model that aligns better with real-world use cases of applications on phones or tablets. The free service has unlimited usage limits though so make sure not to get too excited just yet about those high numbers flooding into their system every day…
Google Analytics 4
Google Analytics 4 is a robust analytics platform that still maintains its classic approach to page views. It’s got an intuitive and easy-to-use free tier as well as paid plans for more advanced features.
With a tag management system, you can make adjustments to your analytics without requiring an app update in the field. A TMS is helpful if after releasing our application we collect more data points or format them differently than before drawing advanced correlations that may interest us later on – this way they will still be accessible through one platform.
It’s important to consider using a TMS if you haven’t already. A lot of the vendors offer Google Tag Manager with Adobe Analytics and vice versa, which can be useful because it means less clutter in your analytics solution!
Quality of service
With a TMS and robust analytics implementation, you’ll find these data points do not provide the same insights your engineering team needs to diagnose issues faced by users. This leaves us with one final tool in our MVA arsenal: Quality-of service measurement! For mobile apps, this can be done through Crashlytics or Instabug while for web traffic we recommend Airbrake & Uptrends together to provide an easy way of tracking QOS information.
What do you need to know about user privacy and data usage?
Analytics should be used to improve the user experience, but it’s important that you take privacy into consideration. iOS devices require users’ permission before tracking them across apps and websites owned by other companies while Android isn’t far behind with its own set of requirements for analytics collection on your platform – make sure all these policies match up properly or risk facing some serious consequences
What are the benefits of utilizing software analytics?
Successful software products must adapt to a constantly shifting marketplace. The best way of adapting is by having an MVA approach that will create direct lines between you and your customers, providing analytics data on user behaviors as well as tag managers for real-time changes made around what they collect while also allowing developers access QOS metrics so that any disruptions can be troubleshot quickly in order make the app hit big time.