The best, most effective campaigns come from a better understanding of your audience: in many of our blog posts, we have repeatedly addressed the issue of audience profiling and segmentation , emphasizing how fundamental it is to bringing a successful marketing strategy to life .
The right message, to the right person, at the right time: this is the secret to a customer-oriented marketing strategy, which makes the personalization of the customer experience the cornerstone .
But what data is really portugal phone number data interesting to better profile users?
What are the best strategies to implement in the B2B and B2C sectors?
Let’s find out together.
User profiling and data-driven approach: no strategy without information
In such a context, the value of a designing in the social sector is a technical Customer Data Platform , as we have already seen in a previous article , is fundamental precisely because of its ability to aggregate user data from multiple sources and touchpoints, both physical and digital .
The advantage? The ability not only phone number vietnam to Audience profiling reconstruct the entire user journey , analyzing every aspect and interaction, but also to predict future interests and needs based on the study of the behavior of similar users.
Audience profiling : what data and insights to start with
The more data and information we can collect about our audience , the more advanced profiling and segmentation methods we can implement.
In general, however, user information Audience profiling that can be used, at least for a simpler profiling mode, can be assigned to the following macro-categories:
- demographic data , i.e. all information such as name, first name, gender, address, telephone, email, company, profession, etc.
This is mainly personal information that can also be enriched based on its reference company; - behavioral or user behavior data (eg pages visited, days elapsed since the newsletter was last opened , messages and content viewed);
- real-time data , i.e. real-time information on user behavior within a site or e-commerce;
- data on purchasing behavior , i.e. number of products purchased, spending thresholds, etc.
- Qualitative data collected through integration with external services, such as customer service, or through direct user requests via forms and surveys.
Advanced Profiling and Segmentation in E-Commerce
In addition to the different types of data and information reported above, in the field of e-commerce it is also particularly effective to carry out profiling and segmentation of its audience through user lifecycle analysis and the RFM matrix.
Are you a new customer, a one-time buyer or a repeat customer?