User Behavior Analytics: How To Get Started
Analytics of user behaviour in SaaS applications show you what consumers do there. You can determine whether users are fast receiving value or if they require assistance by understanding their activities.
We’ll discuss user behaviour analytics’ numerous sorts of data and tools in this piece, as well as how to get started with them.
Analytics of user behaviour indicate each and every activity that users do when using your software or service. When it comes to developing product enhancements, quantifiable data like the screenshot above will aid in making wise decisions.
What are the benefits of user behaviour analytics?
User behaviour analytics are important because they can help you make informed decisions. For example, if you’ve optimised the marketing funnel to drive lots of users onto the platform but notice low trials to paid conversions – analytics can help determine the required onboarding actions!
User behaviour analytics is one of the most valuable insights of user behaviour data that you can have when it comes to your product. It helps you understand how customers interact with your product, what features and content resonates with them, where their journey is failing and more. User behaviour analytics gives you a clear picture of how customers engage with your product at an individual level.
The better you understand your audience, their motivations, preferences, actions when they leave, expire, or make a purchase, the more effectively you can create memorable experiences. It is a great way to measure how the user interacts with your software. Does the customer understand how to use the product? What part of the journey has been completed by them? How do they react to certain features or UI elements?
It may not be a good idea to leave people to figure out how to utilise your product on their own. Users can lack the patience to thoroughly investigate the software or the ability to locate its key components fast. This will have an effect on the product’s success.
Analytics of user behaviour can also reveal what stage of the customer’s journey they are in. You can utilise tooltips or other in-app experiences to motivate users if they haven’t completed the essential onboarding tasks (important activation points).
Additionally, you may influence customers to take advantage of sophisticated features to generate even more value, as this User Adoption Flywheel illustrates. If you’re offering a new product or adding a feature, it’s important to pick the ideal focus from the beginning. User behaviour analytics can help you maximise your trial to paid conversions by pinpointing the required onboarding actions – saving you time and money!
User analytics will also flag features that aren’t working as they should be. Rather than waiting for a customer complaint, proactively learn about your user’s needs by looking at their activities and patterns! For example, if a feature in the app is used more than others then this should direct your product marketing and value proposition.
This is vital when trying to understand your users and serve them better. Using these insights, you can increase retention rates, lower churn rates and eventually sell more.
User behaviour analytics is important for understanding the needs of your customers, and can be used to design better features for the app. Simply by understanding usage patterns, you might be able to identify features that aren’t working as well as they could be. In turn, this could direct product marketing and value proposition – leading to higher retention rates and lower churn rates. Ultimately leading to higher revenue and faster product growth.
How to get started with user behaviour analytics
The following are some of the things User Behaviour Analytics can help you with:
- Improve your knowledge of your users
- View the customer journey to determine where your users are having trouble.
- Get rid of bugs and UX problems.
- Gathering feedback
To get started with user behaviour analytics, create a list of your goals. At the top of this list should be what actionable steps can be taken to achieve these goals. Once you have a set of actions in mind, it’s time to start tracking by installing software on your customer’s devices (or collecting data from your website).
Actionable measures could include creating in-app experiences, improving current experiences, or even having the customer service team give the client a call to see how they are doing. To ensure that your user receives more value from the product, you can even upsell one of your actions. It is best to choose one or two things to track first, rather than tracking multiple things at once.
What user behaviour metrics should you track
You can track user behaviours by monitoring the number of people who click the activation link in your welcome email and how many are completing your onboarding tasks. You may also observe how many people are failing to complete the onboarding tasks.
Track the journeys that your users go through, at various stages. This is typically done by providing engaging content and corresponding CTAs in each section to keep them active through the end. Analytics tools will show you where in the user journey your users are having trouble, and having this information will help you make strategic decisions around improvement. In addition, you’ll be able to spot these drop-off locations if this is occurring at a particular point and take concrete efforts to address them.
To create more engaging user interfaces, analytics tools are used to study user behaviour patterns to improve the app’s usability. This can be done by tracking user activity, such as their click rate against certain screens or their bounce rate of the app. Analytics tools will highlight where users are having trouble and how you can solve this. You can also view the degree of user participation or even the disengagement level which will show areas that need fixing.
You can find out which features users are using the most and the least by monitoring user behaviour analytics. Then, you can look at the cause, such as if the feature is sufficiently noticeable. Is it necessary to have a tooltip pointing to it? You may enhance the user experience by following the metrics for user behaviour.
You will be able to classify your users into groups so you can track data for a specific group in addition to collecting metrics for your users as a whole. You could segregate and track solely new users or by job title, for instance. Join us on a free call to learn more!
You can see how your audience interacts with the product by segmenting them. These measurements will demonstrate which features are most valuable to the various market segments, assisting you in your product marketing efforts. Because you will be able to monitor what percentage of your product’s features are accepted by users, user behaviour metrics are important in a variety of ways and can help you decide your road map and product vision.