Preference scoring enables your business to offer its customers a more personalised experience, giving you the opportunity to segregate your existing customers by their individual preferences. With a data-driven understanding of what your customers want, you can target them in better, smarter ways.
Customers expect personalisation at every stage of their journey with your business – the days of sending out generic blanket marketing emails are rapidly becoming a thing of the past. To stay competitive, companies need to leverage their data in order to gain a clearer understanding of customer preferences, from favourite brands and product types to sizes and styles.
Our AI System pulls together a customer’s transactional data, along with metadata linked to the items they’ve bought or viewed previously, in order to calculate preferences and spot customer behavioural patterns. These preferences take into account factors such as the amount the customer has spent, how many items they’ve bought and how recent those purchases were.
THE TECHIE BIT
The Peak AI System ingests and transforms your customer data, applying a series of intelligent preprocessing and transformation algorithms to prepare your data and create a unified record from which your customer’s preferences can be derived. We apply a combination of supervised and unsupervised machine learning algorithms, including deep learning techniques and collaborative filtering techniques, to build a model of your customer’s preferences. Our models can predict both the best product for a customer, as well as the best customers for a product.
Preference scoring empowers businesses to provide their customers with more personalised marketing communications and offers. Our AI System allows us to segregate a company’s customer base into a number of useful categories – such as those customers who have a preference for a particular brand or type of product. For all of your customers, we can tell you what their preferences are; and for all of your products, we can tell you who is most likely to prefer it.