So, you have learned we need you to connect your own data to our platform. But how are we going to use this?. Well, one of the services we provide is allowing you to use external data. Let's run through some examples of things you can do by combining this external data with your own data.
Weather information: We keep track of the real-time weather information. We can use this information to keep track of any trend that might occur. Let's say your customers are suddenly buying a lot of a certain product the moment the temperature is 20°C or more. We will be able to use this information in the future by recommending that specific item whenever the same weather criteria are met.
Traffic intensity: We can keep track of the traffic intensity in a certain area. Just like the weather information we can keep track of any correlations that seem to exist between the behavior of customers and the traffic intensity in their area.
Location Data: We can keep track of the geographical location of your visitors. We can then use this information when the product you are selling has any relevance to it. A good example here is a hotel provider being able to recommend a hotel that is within a certain range. (Recommending a hotel the moment someone gets within 50km of an available hotel).
Technology: What devices are your visitors using? Does the behavioral pattern differ when comparing Android users to iOS users? Are your visitors mainly on desktop or mobile? All these questions can be used to gather information about your visitors. This information can then be used to recommend items based on behavioral patterns.
As you can see all these external data sources rely on us being able to relate them to specific behavior. Our AI will continuously be learning. Generally, the more data sources available to the AI, the more correlations can be made. This results in the most accurate content being presented to your visitors.