User profiling
Personalization activities for even more effective customer engagement -oriented marketing strategies : let's go back to the RFM matrix , one of the most effective audience profiling and segmentation models in the e-commerce field.
In a previous article , we had the opportunity to delve deeper, from a theoretical kuwait mobile database point of view, into this model, understanding its potential compared to more traditional profiling and segmentation models.
Unlike the latter, in fact, the RFM matrix model examines historical and behavioral data of the entire audience, it is not based on general demographic data, nor on representative samples.
Precisely by its nature , this profiling and segmentation model allows you to better know your customers and identify the most interesting clusters on which to implement effective engagement strategies aimed at increasing their Customer Lifetime Value .
Who are my best customers?
Which customers are potentially more “likely” to buy at a higher price?
Which customers can be retained?
Which ones, on the other hand, are most likely to stop buying from our store?
These are just some of the questions that a careful analysis of its audience carried out through an RFM matrix allows us to answer.
But let's discover, in detail, some clusters that can be identified and the strategies that we can put in place for each of them.