But how does that actually work?

Well, first of all we map out which behavior you just want to analyze. Is it about ease of use, purchasing behaviour, pricing, ... or a combination thereof? The analysis makes it possible to choose measuring points over time and to develop a demo around them.

Such a demo version is therefore the second step. It takes the form of a digital tool or a website, with a clearly defined purpose. Consider, for example, a digital price calculation tool for insurance with a step-by-step plan. ‍

Once the tool has been used by a test panel of (potential) customers, it is time to process the data that is collected. Focusing on different target groups is a must, so that you can later include that classification in your analysis. You can create target groups based on age, location, previous buying behavior, ...

Finally, the data from the test panel is processed in various reports. It compares the behavior of the target groups with each other. Do younger people buy more or less than older people? And what about southern countries versus our northern neighbours?

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The 'customer behavior analysis' therefore provides concrete insights about your customer and allows you to work purposefully when you want to market a new product or service.

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