E-book
The Road to AI-Driven Tribal Segmentation
See how modern loyalty platforms can identify patterns in customer behavior and divide clients into groups based not only on demographics but also on personal interests & affinities.
On the GK Comarch websites, both we and our partners use cookie files and targeting. Cookie files (a.k.a. "cookies") are small text files sent to your browser by the site you visit at any given time. They are used for analytical and statistical purposes as well as to ensure the proper functioning of the site. Additionally, they are used to tailor marketing content to the interests of users visiting our sites.
As we respect your privacy, we ask for your consent to use these technologies. You can consent to cookies by clicking "Accept all". If you want to personalize your choices, click "Settings." You can withdraw your previous consent or change your preferences at any time by clicking the "Settings" button.
Using cookies for the purposes indicated above is related to the processing of your personal data. The administrator of your data is Comarch SA. In some cases, our partners may also be the administrators of your data.
For more information on how we and our partners use cookies and process your personal data, please see our Data Processing Notice and Cookie Policy.
See how modern loyalty platforms can identify patterns in customer behavior and divide clients into groups based not only on demographics but also on personal interests & affinities.
How do you recognize your customers for their engagement when there are thousands (if not millions) of them?
Customers want meaning. They want to have a sense that they are getting something out of the relationship with your brand. And they all have different needs, tastes, hopes & dreams.
But there are some things - besides demographics - that many of them share: interests, passions, ideas, shopping behaviors.
Due to the ever-growing amount of data and fast-changing variables, however, not only is it difficult to identify those experiences and values, it is even more difficult to divide customers into groups based on them.
But it is possible. And in this e-book, we will reveal how it can be done using the latest AI/ML-powered loyalty management tools.
No matter how powerful our human brains are, they're not powerful enough to allow us to go through that ever-growing pool of customer data consisting of thousands of entries - and then produce findings that can be validly interpreted. So, here is where AI comes into play."