How can we aggregate usage data to analyse user behaviour patterns and optimise the interface of our SaaS service?


Understanding how users interact with your SaaS product is essential to optimising its interface, improving the user experience, and maximising clients’ satisfaction. With EveryLog, you can aggregate detailed data regarding usage and extensively analyse users’ behavioural models to optimise your SaaS interface.

How it works

EveryLog registers real-time usage data regarding your SaaS service, including clicks, page views, and users’ actions. Using this data, you can analyse users’ behavioural models and provide targeted improvements to your SaaS service interface.

  • Create account: visit the official EveryLog website and register to create an account. You will need a valid email address and a secure password.
  • Create project: after logging in, create a new project in your EveryLog account. Assign a meaningful name to the project for easy identification.
  • (Optional: create user groups): If necessary, create user groups within your project. This step is optional and depends on your specific needs. You can organise users into groups based on roles or authorisations.
  • Connect your application with EveryLog using the programming language of your choice: now, you need to connect your application with EveryLog. You can do this using your preferred programming language. Follow the EveryLog documentation for detailed instructions on how to do this in your preferred programming language.
  • Download the app and view notifications and metrics: users interested in notifications and metrics can download the EveryLog app to their device. After installation, they can access the project and view all the notifications and metrics you have implemented.

Advantages of using EveryLog

Understanding users' needs: obtain a clear vision of user behaviours, allowing them to adapt your service to their needs. Better user experience: optimise the interface to guarantee an intuitive user experience, increasing users’ satisfaction. Informed decisions: make decisions based on concrete data, guiding the development of your SaaS service interface in a strategic and targeted manner.

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