Personalisation and Segmentation

Personalisation and segmentation

Personalisation is a common term for some options that target messages and functionality directly towards the user or target group. The aim is to build a bridge between the effective large-scale E-Commerce platform and the personal service in a store where the staff know your preferences.

Know your customers

Personalisation can be the difference between the good and the bad customer experience and requires an excellent knowledge of the user and the parameters you want to use for personalisation. This means that you have to consider specific user scenarios for the data you collect and use for personalising so that you create value with that data. If you do it correctly, you can create a complete omnichannel solution directed at the customer at the right time and place in the customer journey.

How you work with automated data collection

If you want to work with segmentation and personalisation for your customers, the first step in the process is to create relevant user scenarios of how you can create value. You do this by splitting customers into smaller and more homogeneous units. What are your goals for personalisation and what are you already doing in this area? You can do this by running a user or customer journey analysis, mapping your touch points with the customer and which function or which potential value the individual touch points contain.

Data sources

Next, identify the accessible data sources and resources required to create a relevant and personalised service. What do you know about the customer and is their information updated and consistent across all your systems? For this exercise, you need to do a system and data review and check compliance with legislation on data protection.


Data consolidation

If you have the relevant data, you need to consolidate it centrally so that several systems can use it. If you don't have the data you need for the customer, you need to find a way of collecting it and making it accessible on your systems. You can do this using behaviour data or by enriching the data you have from external systems, such as demographic archetypes like conzoom or cameo.

For you, this means that you have an automated collection of relevant data about the customer, which you can use to create a personal and continuous customer journey across your touch points. For the customer, this means that they will be presented with relevant content that supports their exact preferences through the purchasing process and alongside your marketing activities and customer service functions.

Surprise the customer positively

It could be something as simple as the customer's details being automatically filled in whenever they buy a product on your E-Commerce platform, or that the customer's phone number is recognised when the customer calls so that the case is already open for your customer services when they are talking to the customer.

The value for the customer is that you serve relevant content and deliver efficient purchasing processes and thereby create high conversion rates and customer loyalty. The value to your business is to automate processes that would otherwise be time-consuming or impossible to solve on such a large scale if people were handling them.

User scenarios

Up-sales and cross sales

Which products are typically bought together for the customer's segment?

Which products have the customer bought previously or shown interest in?



Auto complete personal details when purchasing

Update the customer's data across all systems

Marketing Automation

Automatic segment set-up based on online behaviour

Automated e-mail flows

Price agreements 

Access to special price agreements

Access to special ranges


Personal Content

Personal banners

Personal marketing messages

Personal data and sensitive data

Want to know more about personalisation and segmentation?

Feel free to get in contact with me