Turning Data into Strategy – Interactive Kiosk Analytics

interactive information kiosk

In a highly competitive business environment, it is essential to understand your customers’ behaviour. Analytical data from interactive kiosks is a valuable source of information. These self-service stations, located in your retail environment or at an exhibition stand, are not just a service provider. They are also gold mines of data.

In this article, we’ll take you through the analytics metrics of interactive kiosks that you need to pay attention to. As well as the importance of using this data in your business strategies.

Tracking user sessions

An important indicator is the understanding of how people interact with your interactive information kiosk. User session data will give you a broad overview of kiosk usage, letting you know whether your kiosk investment is paying off in terms of engagement.

If you have multiple kiosks, you can track user sessions by day, time and location. For example, if your kiosks are located in different departments of a retail store, the electronics department kiosk has the most user sessions. This data can provide information on where to place promotional material or how to allocate staff resources.

Dwell time

The dwell time shows how long the user interacts with the kiosk. It can give an insight into how engaging and valuable the content of the kiosk is.

Users spend a lot of time in specific sections. These sections are likely to be relevant to their needs or interests. Conversely, short stays may indicate that interfaces or irrelevant content might be more obvious. For example, if a video tutorial has a long dwell time, consider highlighting it more prominently or creating similar content.

Popular content

Similar to website analytics, tracking which features or sections of a kiosk are used the most can provide invaluable information. You want to know which services or pieces of content are most attractive to your users.

Knowing popular content can help you prioritise updates or additions to those sections. For example, if a certain product catalogue or informative video gets a lot of views, you should enhance these sections with additional features or promotions.

Interaction flow

Understanding how users use the kiosk interface is crucial to improving the user experience. Interaction flow analysis can show which paths users use most often.

Do users frequently navigate from the homepage to a specific service? Do they leave a particular task halfway? If most users leave the interface after reaching the “Contact us” page, you may want to simplify this section or provide improved instructions.

interactive kiosk

Making data-driven decisions

Once all this data has been collected, the next step is to turn it into action. For example, if you notice that weekends are the longest time spent, consider running special weekend promotions.

If user sessions are highest at a particular kiosk location, consider placing your premium products or services there. If you are just considering buying kiosks for your business, find out more about the best kiosk manufacturers.

Conclusion and future trends

As these kiosks become more sophisticated, the analysis capabilities of interactive kiosks are improving. We are moving towards a future where AI can offer predictive analytics, suggesting potential user paths or personalising kiosk content based on past interactions.

Understanding kiosk analytics is not just about collecting data. It’s about transforming that data into actionable insights that meet your business objectives. The future is promising, and as analytics gets smarter, so will our strategies.