Unveil the User Behaviour through Notifications (Tips & Tricks)
Actions have equal and opposite reactions, as per Newton's third law. This principle not only applies to physics but also to marketing campaigns. The results are measured in terms of user engagement, user retention, app user behaviour, and conversion rate.
However, if you notice, elements other than app user behaviour are highly dependent on this one. If you learn to decode your user behaviour, you will excel at capturing your users' attention.
To make it easy and effective, we bring you this blog, where you will learn about app user behaviour.
Let's get started!
What Does App User Behaviour Mean?
App user behaviour refers to the actions, interactions, and patterns displayed by users when they interact with your app. It can be how they navigate through your app, accessing and utilising features, allotting time to different sections, and other actions performed within the app.
However, there is no set pattern or metric to track user behaviour. It includes everything they do with your app. Nonetheless, app notifications can help you analyse their behaviour.
Notifly: Manage all your notifications in one place
What Metrics Reveal User Behaviour through Notifications?
Here are crucial metrics that make it easy to comprehend your app user behaviour, collected through notifications.
User engagement:
User engagement refers to the users engaging with your notifications. It will give you these three metrics:
1. User retention: User retention tells you the percentage of people who keep using an app over time.
To figure it out, you divide the number of users who still use the app during a certain period by the total number of users when that period started. So, if a lot of people stick with the app, the retention percentage is high!
2. Click-through rate: CTR is measured in terms of the user's action, such as clicking the call-to-action or any link or button that generates user engagement. The click-through rate is a measure often used in email marketing, online ads, and, in this case, mobile app notifications.
To find the click-through rate, you divide the number of times people click on something (like a link or button) by the total number of times people see it. It helps to see how many users act after seeing a message or an advertisement.
3. Conversion rate: The conversion rate shows the percentage of people who successfully do what the app wants them to do. This could be buying something, signing up for a newsletter, or doing another specific thing the app hopes users will do.
To figure out the conversion rate, you divide the number of people who did that specific action by the total number of people who had the chance to do it. A higher conversion rate means more people are doing what the app wants them to do.
User interaction:
App notifications not only help improve user retention and engagement, but they also provide valuable insights into user behaviour.
By tracking notifications, you can gain a better understanding of how users interact with your app and use this information to improve your app's performance.
Frequency analysis:
The click-through rate and open rate of notifications can help you identify the ideal frequency for sending notifications.
Too many notifications can overwhelm users and lead them to opt out in frustration.
With an analytical tool like Notifly, you get access to confirm delivery, open rates, and many other things. These facts give you much more authentic data about your notifications.
Opt-in and opt-out monitoring:
Analyse the opt-in and opt-out rates. Identify the reasons behind these actions. Doing so will help you refine your marketing strategy and connect with users in their preferred ways.
Active time tracking:
Push notification is the most convenient means to communicate with users and find out their active sessions.
After identifying the time of day for different locations when your users are most active, you can schedule push notifications. These notifications will increase your chances of user engagement.
A/B Testing:
A/B testing for notifications is like experimenting with different ways of sending messages to users.
Try with different timings, message contents, and frequencies to see which approach gets the best response. By comparing these variations, you will gain some better insights into user behaviour.
Also, you can figure out the most effective strategy for engaging users with your app's notifications.
Final Words:
We trust that you find value in this blog. While direct analysis of user behaviour may not be accessible, these metrics can enhance your understanding. By employing notifications and marketing campaigns, you can delve into user reactions and preferences. It's crucial to apply this technique correctly, and we recommend choosing a notification service provider that effortlessly provides these details.
